Temporizing Uncertainty: A Constructivist Grounded Theory of ...
-
Upload
khangminh22 -
Category
Documents
-
view
0 -
download
0
Transcript of Temporizing Uncertainty: A Constructivist Grounded Theory of ...
University of Calgary
PRISM: University of Calgary's Digital Repository
Graduate Studies The Vault: Electronic Theses and Dissertations
2019-07-09
Temporizing Uncertainty: A Constructivist Grounded
Theory of Advanced Practice Palliative Care Nurses'
Prognostication in Non-Malignant Illnesses
Ferguson, Angela L.
Ferguson, A. L. (2019). Temporizing Uncertainty: A Constructivist Grounded Theory of Advanced
Practice Palliative Care Nurses' Prognostication in Non-Malignant Illnesses (Unpublished doctoral
thesis). University of Calgary, Calgary, AB.
http://hdl.handle.net/1880/110610
doctoral thesis
University of Calgary graduate students retain copyright ownership and moral rights for their
thesis. You may use this material in any way that is permitted by the Copyright Act or through
licensing that has been assigned to the document. For uses that are not allowable under
copyright legislation or licensing, you are required to seek permission.
Downloaded from PRISM: https://prism.ucalgary.ca
UNIVERSITY OF CALGARY
Temporizing Uncertainty: A Constructivist Grounded Theory of Advanced Practice Palliative
Care Nurses' Prognostication in Non-Malignant Illnesses
by
Angela L. Ferguson
A THESIS
SUBMITTED TO THE FACULTY OF GRADUATE STUDIES
IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE
DEGREE OF DOCTOR OF PHILOSOPHY
GRADUATE PROGRAM IN NURSING
CALGARY, ALBERTA
JULY, 2019
© Angela L. Ferguson 2019
ii
Abstract
Palliative care nursing practices combine the science and art of nursing in unique ways.
Prognostication is a valued core skill that requires knowledge, intuition, curiosity,
conceptualization, and decision-making. The praxis of prognostication is complicated and
foundational to the culture and work of advanced practice PCN. This researcher, a member of the
group of study provides a unique glimpse into this culture of PCN. The study sought to
understand and discover a theory about the experiences of prognostication of individuals with
non-malignant illnesses by eleven PCN in a palliative care program, across care sectors. Ten of
the eleven nurses were advanced practice nurses in consultant roles and one in a front-line home
care position. All eleven nurses held positions that included the regular work of prognostication
in fulfillment of their nurse-patient role, especially related to care transitioning. The experiences
of these nurses were captured through observation of a nurse-patient prognostic consult followed
by participant interviews. The data consisted of one-to-one interviews with each PCN which
were then transcribed verbatim. Data analysis began following transcription with line-by-line
coding. Analysis was strengthened by the constant comparison method and use of field notes
and memoing. The analysis sought descriptions, patterns and relationships from the PCN for
shared meaning around prognostication in non-malignant illnesses. There were three main
categories that were identified which formulated the theoretical model of the factors and process
of prognostication by advanced practice PCN. The core category of ‘Temporizing Uncertainty’
suggests that at the centre of the experiences of the complex process and decision-making in
prognostication, PCN are subjected to conflicting and challenging cognitive and affective
psychological factors that influence the conative work of prognostication.
iii
These findings offer insight into PCN practices and carry implications for education and future
research in palliative care. The future aim is to enhance advocacy for end-of-life transitions for
patients and their families faced with chronic illnesses and in supporting clinical decision-
making. Keywords: Advanced illness, Chronic disease, End-of-life, Illness trajectory, Mortality,
Palliative Care, Prognosis, Prognosticate, Prognostication.
iv
Preface
This thesis is original, unpublished, independent work by the author, A. Ferguson. Ethics
approval for the project “Palliative Care Nursing Prognostication of non-malignant illness: A
Constructivist Grounded Theory of the experiences and processes Palliative Care Nurses use to
estimate length of life remaining” certificate number REB-16-0401_REN2 was renewed by the
Conjoint Health Research Ethics Board on May 12, 2019.
v
Acknowledgements
I want to thank the palliative care nurses on our team who participated and shared their
experiences and knowledge with me. I am humbled by your generosity of time and by your
expertise. I know that this study would not have possible without you.
My supervisor Dr. Shelley Raffin-Bouchal who offered me encouragement and support on a
regular basis. Your palliative care knowledge, passion and insight was truly invaluable to me. I
enjoyed learning from you and know how fortunate I am to have been one of your students.
My supervisory committee Dr. Jessica Simon and Dr. Shane Sinclair, who offered in-depth
insights that reflected your palliative care perceptions, knowledge and research expertise. I know
you made my work that much better.
My late father Frank, who believed I could be anything I wanted to be. I miss you and your
wisdom every day. My mother Doreen, a nurse who dedicated her life to her vocation and
demonstrated that the richest life is one in service to others. My sister Cathie who always
inspires me to be the best I can be.
To the nurses and physicians who mentored and befriended me along the way throughout my
career. Claire Kibbler, Pauline Parlee, Diana Helgesen, Terri Lefort, Tina Hamm, Marilyn
Young, Leanne Armstrong and Kathy Rasmussen. Doctors Frank van Netten, Maria Celis,
Sandra Albuquerque and Sara Pawlik. I am so grateful.
A special acknowledgment to my colleague Heather Shantz, for making the suggestion to
consider pursuing my PhD.
vi
Dedication
With love to my husband Warren,
Thank you is not enough to express my gratitude.
Turris Fortis Deus Noster
Semper Fidelis
Dulcius Ex Asperis
vii
Table of Contents
Abstract ............................................................................................................................... ii
Preface................................................................................................................................ iv Acknowledgements ..............................................................................................................v Dedication .......................................................................................................................... vi Table of Contents .............................................................................................................. vii List of Figures .................................................................................................................... xi
Epigraph ............................................................................................................................ xii
CHAPTER ONE: INTRODUCTION TO THE STUDY ....................................................1 Background and Context......................................................................................................1 Prognostication ....................................................................................................................3 The Task of Prognostication ................................................................................................4
Relevance to Nursing ...........................................................................................................7 The Study .............................................................................................................................8
Study Objectives ..................................................................................................................9 Research Approach ..............................................................................................................9 Assumptions .......................................................................................................................10
The Researcher...................................................................................................................11 Rationale and Significance ................................................................................................12
Definitions of Key Terms ..................................................................................................13 Overview of the Thesis ......................................................................................................14 CHAPTER TWO: LITERATURE REVIEW ....................................................................16 Literature Review and Grounded Theory ..........................................................................16
Search Methods ..................................................................................................................17 Search Outcomes and Quality Appraisal ...........................................................................18
Results ................................................................................................................................18 Analysis..............................................................................................................................19 Factors that Impact Prognostication...................................................................................19
Communicating Prognostic Information............................................................................21 Decision-Making................................................................................................................22 The Nursing Role ...............................................................................................................22
Limitations .........................................................................................................................23 Discussion ..........................................................................................................................24
Summary ............................................................................................................................25 The Study and Addressing the Gaps ..................................................................................26 Significance of the Study ...................................................................................................27
CHAPTER THREE: THE METHODOLOGY .................................................................29
Research Design.................................................................................................................29
Philosophical Context: Pragmatism ...................................................................................30 Theoretical Context: Symbolic Interactionism ..................................................................31 Social Constructivism ........................................................................................................33 Rationale for a Constructivist Version of Grounded Theory .............................................34 Classical/Glaserian Grounded Theory ...............................................................................35
Straussian Grounded Theory..............................................................................................37
viii
Constructivist/Charmazian Grounded Theory ...................................................................38 Methods..............................................................................................................................39 Sampling and Recruitment .................................................................................................39
Data Collection ..................................................................................................................40 Materials ............................................................................................................................41 Ethics Procedure ................................................................................................................41 Observations and Interview Procedure ..............................................................................42 Instrumentation ..................................................................................................................44
Data Collection ..................................................................................................................44
Data Analysis .....................................................................................................................46 Study Evaluation ................................................................................................................49 Credibility ..........................................................................................................................52 Originality ..........................................................................................................................54
Resonance ..........................................................................................................................54 Usefulness ..........................................................................................................................54
Writing ...............................................................................................................................56 Limitations of the Study Methods......................................................................................56 Conclusion .........................................................................................................................57
CHAPTER FOUR: EMPIRICAL FINDINGS ..................................................................59 Findings..............................................................................................................................59
Finding One: Cognitive (Thinking) Factors ......................................................................60 Finding Two: Affective (Emotion) Factors .......................................................................60 Finding Three: Conative (Volition) ...................................................................................60 Participant Observations ....................................................................................................61
Presenting the Findings Through the Participants Voice ...................................................62 Death Awareness of Others ...............................................................................................62
Questioning Self.................................................................................................................63 Fallibility ............................................................................................................................64 Perceptions of Chronic Diseases ........................................................................................64
Describing Chronic Diseases Metaphorically ....................................................................65 Wonder ...............................................................................................................................66 Intuition ..............................................................................................................................66
Anticipating Dying and Preparing the Patient and Family ................................................67 Supporting Symptoms and Quality of Life ........................................................................68
The Process of Prognostication ..........................................................................................68 Figure 4.1 ...........................................................................................................................69 Knowing .............................................................................................................................69
Exploring............................................................................................................................71
Assessing............................................................................................................................73
Trending .............................................................................................................................74 Predicting ...........................................................................................................................76 Pronouncing .......................................................................................................................78 Mindfulness........................................................................................................................81 Active Listening .................................................................................................................82
Engagement........................................................................................................................83
ix
Attentive to Suffering ........................................................................................................84 Conclusion .........................................................................................................................86 CHAPTER 5: TEMPORIZING UNCERTAINTY ............................................................88
Figure 5.1 Temporizing Uncertainty..................................................................................91 Decision-Making................................................................................................................92 Finding One: Cognition (Thinking) Factors ......................................................................93 Death Awareness of Others ...............................................................................................93 Questioning Self.................................................................................................................94
Fallibility ............................................................................................................................94
Perceptions of Chronic Diseases ........................................................................................94 Describing Chronic Diseases Metaphorically ....................................................................94 Significance of Finding One ..............................................................................................94 Finding Two: Affective (Emotion) Factors .......................................................................99
Anticipating Dying and Preparing the Patient and Family ................................................99 Supporting Symptoms and Quality of Life ......................................................................100
Wonder .............................................................................................................................100 Intuition ............................................................................................................................100 Significance of Finding Two ...........................................................................................100
Finding Three: Conative (Acting) Factors .......................................................................108 Knowing ...........................................................................................................................109
Exploring..........................................................................................................................109 Assessing..........................................................................................................................110 Biological measures .........................................................................................................110 Personal Behaviours.........................................................................................................110
Trending ...........................................................................................................................112 Predicting .........................................................................................................................114
Pronouncing .....................................................................................................................115 Significance of Finding Three .........................................................................................116 Participant Observations ..................................................................................................117
Observation of Presence ..................................................................................................118 The Central Phenomena: Temporizing Uncertainty ........................................................118 Divergent Findings to Temporizing Uncertainty .............................................................126
Discussion ........................................................................................................................130 Concluding Summary of the Interpreted Findings...........................................................131
Limitations .......................................................................................................................131 CHAPTER SIX: IMPLICATIONS FOR PRACTICE AND RECOMENDATIONS .....133 Recommendations for Practice ........................................................................................134
Recommendations for Research ......................................................................................134
Contributions of the Study ...............................................................................................136
Conclusion .......................................................................................................................137 References ........................................................................................................................138 Appendix A: Literature Search Flowchart .......................................................................159 Appendix B: Study Search Terms and Inclusion Criteria ................................................160 Appendix C: Table 1- Quality Appraisal of Studies using the SURE Checklist .............161
Appendix D Table 2-Literature Review Studies ..............................................................163
x
Appendix E: Invitation to the Study ................................................................................178 Appendix F: Consent for Interview .................................................................................179 Appendix G: Consent for Observation ............................................................................183
Appendix H: Interview Guide ..........................................................................................187 Appendix I: Participant Demographic Information .........................................................188 Appendix J: Categories and Subcategories of the Study .................................................189
xi
List of Figures and Illustrations
Figure 4.1 PCN Process of Prognostication in Non-Malignant Illnesses…………………...…..69
Figure 5.1 Temporizing Uncertainty …………………………………………………………...91
xii
Epigraph
From my perspective it is not a ‘one off’, it is a process and it is a matter of collecting
information. I am one of those people, I am happy to keep someone on if it takes two or three
weeks to see how they are going to do. Study Participant
1
Chapter One: Introduction to the Study
This study sought to uncover a theory that explains the processes and experiences of
Palliative Care Nurses (PCN) in prognosticating with non-malignant illnesses. The purpose of
this qualitative constructivist grounded theory was to explore, with a sample of collegial PCN,
the perceptions and experiences they had of prognostication. It was anticipated that the theory
and knowledge gained from this study would in turn impact palliative care nursing knowledge
and future clinical practices.
The methods employed in this study to explore the phenomenon of PCN prognostication
were semi-structured interviews and participant observation. The participants of this study were
purposively sampled from the Alberta Health Services (AHS) Palliative Care Program consisting
of 11 advanced practice PCN who had a minimum of one year experience working in this
program. The AHS Palliative Care Program covers all care sectors including acute care,
homecare, long-term care, and intensive palliative care.
This chapter opens with an overview of the background and context of the study. Next,
the problem statement, purpose, and research questions will be presented. I will then briefly
outline the researchers’ perspectives and assumptions. Lastly, I will summarize the rationale and
significance of the study and provide key definitions and terms used.
Background and Context
Individuals in our society are living longer with more complex care needs, disability, and
symptom burden (Levin & Perkovic, 2013, p. 196). The prevalence of chronic diseases continues
to rise on a global basis in the context of an increasingly aging population (Lozano et al., 2013,
p. 2096; Williams et al., 2010, p. 2). Almost one in six Canadians are over 65 years of age, with
2
this group predicting to grow four times faster than the general population (Public Health
Agency of Canada [PHAC], 2017, p. 32). The current life expectancy is 79.9 years for men and
84 years for women (Statistics Canada, 2018). It is estimated that one in five Canadian adults
live with one of the following chronic diseases: cardiovascular disease, chronic respiratory
disease, or diabetes (PHAC, 2017, p. 1). The health-adjusted life expectancy (HALE) of
Canadians is 69 years for men and 70.5 years for women meaning that the average Canadian will
live out their remaining decade of life with some level of disability and ill health (Statistics
Canada, 2018, HALE, p. 18).
Lozano et al., noted that globally ischemic heart disease combined with all strokes
attributed to one quarter of the total global mortality in 2010 (p. 2112). Cirrhosis of the liver
increased 33% between 1990 and 2010, accounting for more deaths than hepatitis B, hepatitis C
and alcohol related deaths combined (p. 2112). Deaths from diabetes, chronic kidney disease,
and Parkinson’s almost doubled globally in that same timeframe and dementia related deaths
tripled (p. 2112).
Mortality from chronic conditions can be estimated by ranking the chronic condition-
related causes of mortality. The results of this methodology show that, in high-income
countries, around 75% of the population will die from a chronic illness, with a cancer-to-
noncancer ratio of 1: 2. (Gomez-Baptise, et al., 2012, p. 374)
In spite of the growing numbers of individuals with chronic diseases, health resources are
inadequate to cover care for individuals outside of institutions and care within institutions are
fiscally onerous (Roberts & Jackson, 2013, p. 2219). Accurate prognostication is one potential
tool where clinical decision-making (DM) can match the care needs of the individual to the
3
location where one completes their end-of-life period (Croft, et al., 2015; Gomez-Baptise, et al.,
2012). Inaccurate prognostication can cause multiple transitional moves which increases
psychological stress on the individual and family (Eastman & Martin, 2011).
Prognostication
Prognostication is the anticipated prognosis of an individual based on foreseeing and
foretelling the course and outcome of a disease (Christakis, 2001, p. 19). In Palliative Care,
prognostication is foundational to clinical practice. Clinicians take their knowledge of the illness
and share this with the individual while also anticipating potential illness complications and
disability (Croft, et al., 2015; Downing, 2011, p. 76). Prognostication is important to health
professionals and their patients as it creates a care contract by which future treatment is either
sought or declined (Corkum, Viola, Veenema, Kruszelnicki, & Shadd, 2011; Croft, et al., 2015;
Glare & Sinclair, 2008; Twomey, O’Leary & O’Brien, 2008).
Prognostication assists patients in making decisions about legacy, estate planning,
relationships, and location of their end-of-life period (Downing, 2011, p. 78; Glare & Sinclair,
2008, p. 86). Prognostication guides survival estimates with or without interventions (Corkum et
al., 2011; Glare & Sinclair, 2008; Twomey, et al., 2008). A limited prognosis has been found to
be a strong factor in the requesting and receiving medical assistance in dying (MAiD), as one
criteria for MAiD is that death is “reasonably foreseeable” (Villavicencio-Chavez, et al., 2014).
Accurate prognostication is a skill that is complex and subject to unpredictable variables
that include the abilities of the clinician (Downing, 2011). Palliative Care clinicians understand
that inaccurate prognostication can negatively affect the dying experience. A patient with high
care needs and uncertain prognosis may be denied access to hospice and instead kept in acute
4
care or moved into long-term care (Waldrop & Meeker, 2012; Welch, Miller, Martin, & Nanda,
2008).
In clinical practice, more often than with cancer patients, patients with chronic illnesses
are most likely excluded from hospice care because of uncertain prognosis (Waldrop & Meeker,
2012). Teno, Plotzke, Gozalo, and Mor (2014) found that 75% of patients discharged alive from
hospice were non-cancer patients who had improved clinically or had not fit hospice criteria at
the time of admission.
The benefits of accurate prognostication impact healthcare resources. Administrators
value accurate prognostication because it can guide utilization of inpatient beds, diagnostic tests,
access to intensive care, and staffing (Glare & Sinclair, 2008; Twomey, O’Leary, & O’Brien,
2008). Palliative Care clinicians may be aware of the fiscal importance of prognostication on the
health system however, it is the individual served on the front-line that are of primary concern.
Palliative Care clinicians serve individuals and families one at a time and not groups or
populations (Croft et al., 2015).
The task of prognostication
Glare et al. (2008) reported that predicting survival in patients with advanced illness is
often the least desired task for clinicians (p. 1147). Every Palliative Care clinician approaches
prognostication differently as there is not one standardized way of learning or guiding the
formulation of a prognosis (Clarke et al., 2009). Clinicians can access different models and tools
to education themselves such as the “Who Knows?” Ten steps to better Prognostication
(Downing, 2011). Clinicians use their experiential knowledge, the known history of the
individual’s disease trajectory with the assessed performance status, and biological markers to
5
guide prognoses (Castillo, 2012; Timmermann, 2012). The order in which these factors are
considered are within the clinician’s preferences, however, the starting point begins with the
diagnosis of disease (Croft et al., 2015; Downing, 2011; Glare & Sinclair, 2008).
The performance status, which measures the physical functioning of the patient provides
important guidance to prognosis. Performance status measures physical function against
disability which has predictive value of therapy response and survival (Downing, Lynd,
Gallagher, & Hoens, 2011; Glare, 2011). Performance status tools used in Palliative Care
include: the Palliative Performance Scale (PPSv2) (Downing, 2006, pp. 120-121); the Karnofsky
Performance Scale (KPS), and the Eastern Cooperative Oncology Group Performance Status
(ECOG) (de Kock et al., 2013; Downing, 2011; Péus, Newcomb, & Hofer, 2013). The PPSv2
tool has been validated for cancer and non-cancer populations, unlike the KPS and ECOG which
are specific to oncology (Downing 2011; Ho, Lau, Downing, & Lesperance, 2008).
The performance status score provides the clinician with knowledge as to how extensive
the disease is impacting the patient on their daily functioning (Croft et al., 2015; Downing,
2009). The disease trajectory is important in prognosticating as two separate clinical populations
may be assigned the same score but will experience distinctly different and expected decline over
time (Amblàs-Novellas et al., 2016). Palliative Care clinicians will then use other observable
biological markers to improve the understanding of prognosis. These biological markers include
weight gain or loss, cachexia, edema, dyspnea, dysphagia, low albumin, and leukocytes
(Downing, 2011; Selby et al., 2011, p. 579).
The work of prognostication is a different experience for non-malignancies as compared
with malignant diseases (Croft et al., 2015). Some complicating factors for prognostication are
6
individuals with multiple co-morbid conditions, individuals with potentially reversible
intercurrent illness and or having a mixed trajectory (Pontin & Jordin, 2011). Palliative Care
clinicians may look to broader prognostic frameworks to augment the performance status tool
such as the Gold Standards Framework (GSF) Proactive Indicator Guidance (PIG) with which
attempt to address these complexities in prognostication (The Gold Standards Framework, 2013).
There are web-based prediction tools that can calculate an individual’s risk and predicted
survival using known diagnosis, lab tests, and performance scores such as Prognostigram® and
Prognostat® which generates estimation of survival for cancer patients (Glare & Sinclair, 2008;
(Miladinovic et al., 2013). Web-based prediction tools are not equally accessible across the care
sectors by front-line clinicians and as such the use of paper copy performance status tools are
more prevalent.
Palliative Care clinicians believe that predicting lifespan is important or very important in
practice (Corkum et al., 2011). Many clinicians, however, lack confidence with clinically
complex patients. Some of these clinicians will avoid prognosticating altogether for fear of
disappointing their patient and negatively impacting the therapeutic relationship (Chang, Datta-
Barua, McLaughlin, & Daly, 2014; Pontin & Jordan, 2011).
Furthermore, reluctance to prognosticate could be attributed to fearing collegial negative
opinion as being able to provide an accurate prognosis is considered a valued ability amongst
physicians and a measure of professional competency (Christakis, 1999, p. 53). Thus, there may
be added reluctance from the clinician to prognosticate with individuals with chronic illnesses
which may span many years, often require prognostic repetition, and a communicated reframing
as the progression of their disease occurs over time (Glare & Sinclair, 2008).
7
Relevance to Nursing
Do nurses prognosticate? Yes, although I have no literature to offer in support, I believe
from my experience as a nurse that nurses do prognosticate. Is prognostication by Nurses
approached and accomplished in the same way as a Physician? I would say this is not the case. I
believe there are distinctions based on my own clinical experiences in how the work of
prognostication operates uniquely for Nurses. This study addressed prognostic work from the
perspective of advanced practice nurses. It was beyond the scope of this study to compare the
practices of advanced practice nurses with physicians. This would be an area to consider for
future research.
Nurses, even PCN, have been given the diagnosis of the illness of the patient by a
Physician. Often the stage of the illness has been quantified by a Physician or medical
diagnostics which then additionally guides the Nurses’ work in articulating or putting this
information into lay terms for the patient and family (Adams, Bailey, Anderson, & Docherty,
2011). Additionally, I would suggest that the intent of the work of prognostication for nursing is
different than for medicine in that it is usually accomplished for the purposes of transitioning the
patient and family to a care location for their end-of-life period and for preparing for dying
(Eastman & Martin, 2011).
The suggested purposes of prognostication in medicine by Christakis (1999) are to guide
the choices of therapies and interventions or to convince patients to comply with suggested care
(p.48). He notes that prognostication can be used as a tool to manage patient anxiety by
decreasing uncertainty through knowledge management (p. 48). Prognostication is also
8
considered a means of evaluating one’s own professional acumen and that of colleagues in
medical decision making (p. 53).
The Study
I proposed that prognostication is a core skill for PCN and that there is a need for greater
inquiry into how PCN influenced and impacted the processes around prognostication within non-
malignant disease populations. The findings of this study will impact nursing knowledge, clinical
practice, patient outcomes, and guide future research.
While PCN have access to several validated tools to assist with their patient assessments
the processes around the prognostic decision making of individual PCN was unknown. This
research inquiry was framed around these unknown processes of nursing prognostication. The
principal research question was: “What is the theory that explains the process of prognostication
for individuals with life-limiting, non-malignant illness by advanced practice PCN?”
The goal of this study was to construct a theoretical model that could explain the
conceptualization and decision-making factors by which PCN prognosticated for non-malignant
illnesses. Constructivist grounded theory was well-suited for this study as it allowed a co-
construction of meaning from a variety of individual perspectives within the PCN shared practice
culture, values, and norms.
Advanced practice PCN undertake prognostication in their everyday practice in their
advance practice role in advocating for the physical needs, the psychosocial needs and the best
location of dying for their end-of-life patients (Canadian Hospice and Palliative Care Association
[CHPCA], 2009). Prognostication is considered important to the PCN clinician because it is
important to the patient and family.
9
Study Objectives
The following questions underpin the study objectives:
1. How do PCN perceive prognostication in chronic illness versus malignant illness?
2. How do PCN approach prognostication in practice?
3. What reasoning and decision-making factors frame PCN prognostication?
Research Approach
The approval for this study was obtained by the Conjoint Health Research Ethics Board
(CHREB) at the University of Calgary and was conducted in compliance with the Tri-Council
Policy Statement, second edition (TCPS2). The researcher studied the perceptions and
experiences of by eleven PCN in a palliative care program, across care sectors. Ten of the eleven
nurses were advanced practice nurses in consultant roles and one in a front-line home care
position. The PCN were all employed within the same Palliative Care Program as the researcher
and had a minimum of one year of full-time clinical experience. This ensured that the
participants would have relevant clinical experience in the tasks associated with prognosticating
in non-malignant illnesses.
Direct observation and in-depth semi-structured interviews were the methods of data
collection. The researcher recruited participants through three program managers who sent out an
invitation to participate through program group email strings. This ensured that my colleagues
would not feel coerced in participating. Those interested in participating contacted me via my
University email account and I met with each participant and ensured that written informed
10
consent for observation and interviewing was reviewed and obtained. Each participant was
informed that participation in the study was voluntary and that withdrawal was acceptable up to
the point of data analysis.
Data collection began with direct observation of the PCN by the researcher in the task of
prognosticating for a patient with a non-malignant illness. Consent from the patient or agent to
have the researcher present for the patient interaction was obtained by the PCN verbally and
without the researcher being present. The semi-structured interview followed the direct
observation. The findings from the observations and interviews formed the foundation for the
theory generation and subsequent recommendations for clinical practice.
Each participant was identified by an assigned pseudonym and all interviews were audio-
recorded and transcribed verbatim. The interviews were initially coded line-by-line and
compared with each other. The core categories were organized and provided the basis for the
conceptual categories as per the study’s conceptual framework. Field notes and memos of the
observations were coded and compared to each other to formulate the conceptual categories and
then compared to the interviews. Literature and theoretical sampling were employed to further
enhance the rigor of the findings. Saturation of the data was achieved.
Assumptions
There are three primary assumptions that were made regarding the study. First, that PCN
consider prognostication a core skill in the Nursing domain and is a common work task. Second,
that PCN consider prognostication for individual’s with non-malignant illnesses more difficult
than those with malignancies. Third, that prognostication includes a decision-making process
11
that advanced practice PCN employ to advocate resource allocation and care transitions for their
end-of-life patients and families.
The Researcher
I have worked in a dedicated Palliative Care position as a PCN with Alberta Health
Services for eight years. I have met with numerous individuals and families facing serious and
life-altering diagnoses. It has been my experience that patients, regardless of cultural
background, are intently interested in knowing how much time they have left to live. I have
witnessed the increased referrals for the chronically ill in the aged and have personally struggled
with the decision-making and articulating a prognosis to my patients.
In Canada, PCN serve integral roles in Hospice and Palliative Care Programs. The
Canadian Nurses Association has a 32 specialty competencies examination specific to the role of
Hospice and Palliative Care Nursing (Canadian Nurses Association [CNA], 2015). Competency
1.5b States: “The hospice palliative care nurse: Uses effective communication (e.g., presence,
empathy, reflective listening) to facilitate discussion and understanding with the person and
family about issues related to Prognosis” (CNA, 2015).
Advanced Practice Nurses (APN) are considered to hold unique opportunities in
observing potential clinical practice gaps and are encouraged to engage in research to generate
knowledge and incorporate the findings in their own practice settings (Staples, Ray, & Hannon,
2016, p. 110). The purpose of this research was to conceptualize and co-create theory utilizing
Constructivist grounded theory (CGT) methodology to illuminate the processes and experiences
of PCN in the work of prognostication for non-malignant illnesses. To date, no previous study
has been identified that solely covers the proposed topic.
12
The relational position of researcher in the inquiry is as a member of the group being
studied, which aligns with constructivist philosophy. Nature is perceived to be a mental construct
of individuals and together with others in social interactions (Lincoln & Guba, 1985, p. 86).
Ontological truth is a socially negotiated and the epistemology of reality is what is co-created
between the researcher and participants (Creswell, 2013, p. 759).
The theoretical results were a co-construction between researcher and participant and
becomes an interpretive portrayal of the researched world and not an exact picture of it
(Charmaz, 2006, p. 11). The ‘truths’ that are illuminated within one social group may not stand
as such in another. Truth is relative and bound in time and social contexts. The researcher, as part
of the group being studied, is never value-neutral nor an objective observer but rather an active
agent in explicating a theory and interpreting the phenomena based on shared beliefs, values, and
norms (Mir & Watson, 2000, p. 942).
Rationale and Significance
The rationale for this study came from the researcher’s desire to discover strategies for
PCN to use to prognosticate for individuals they serve. Accurate prognostication is highly
desirous for patients, families, and clinicians (Nelson et al., 2017). Prognostication can impact
chosen interventions and the individual’s experience of their end-of-life period (Nelson et al.,
2013). The learned experiences of PCN with prognosticating within the non-malignant disease
populations demonstrated a shaping of clinical decision-making. Theoretically sound, the
uncovered theory and framework should resonate with PCN groups in similar settings (Charmaz,
2006, p. 179).
13
What impact was realized with the greater understanding of advanced practice PCN
prognostication in chronic illnesses? The theoretical model of how advance practice PCN
approach prognostication has provided a foundational understanding of how this work is
operationalized in the clinical setting. The future aim of the study is to enhance advocacy for
end-of-life transitions for patients and their families faced with chronic illnesses and in
supporting clinical decision-making.
Definitions of Key Terms
The following key terms used throughout these chapters are presented with their
corresponding definitions for the reader’s awareness.
Advanced illness. When an individual with one or more conditions experiences a health
status that is compromised to the point of no longer responding to previous treatments along with
marked functional decline. This process continues until death (American Hospital Association
[AHP], 2012, p. 7).
Advanced Practice Nurse. Nurses working in advanced practice roles who have acquired
expert knowledge base, complex decision-making skills and clinical competencies for expanded
practice (International Council of Nurses, 2008).
Chronic disease. A disease that continues over a long period of time. Chronic disease
may be progressive and result in a state of disability or death (Mosby’s Medical Dictionary,
2016, p. 364).
End-of-life. A one to two year period of time of life remaining for individuals with life-
limiting illness (Izumi, Nagae, Sakurai, & Imamura, 2012, p. 119).
14
Illness (Disease) trajectory. The known pattern of decline of an illness over a timeframe
that can be mapped out towards death (Mead, Cowey, & Murray, 2013, p. 447).
Mortality. The state of being subject to death (Mosby’s Medical Dictionary, 2016, p.
1163).
Palliative Care. Palliative care is an approach that improves the quality of life of patients
and their families facing the problem associated with life-threatening illness, through the
prevention and relief of suffering by means of early identification and impeccable assessment
and treatment of pain and other problems, physical, psychosocial and spiritual (World Health
Organization [WHO], Definition of Palliative Care, nd).
Prognosis. The likely course of a disease or ailment (Mosby’s Medical Dictionary, 2017,
p. 1459).
Prognosticate. To make a prediction (Mosby’s Medical Dictionary, 2016, p. 1459).
Prognostication. The action of predicting life expectancy (Glare, & Sinclair, 2008, p. 85).
Overview of the Thesis
In this chapter, I presented an overview of the study, detailing the practice of Palliative
Care in Canada, the task of prognostication, the background to the problem, the rising prevalence
of chronic illnesses globally, the relevance to Palliative Care Nurses, and the purpose of this
study. Chapter two is the literature review in context of a CGT study. In chapter three I described
the methodology, methods, and procedures of the study. In chapter four I present the findings
and the theoretical model. In chapter five I present the findings in relation to the extant literature
15
and discussion of the proposed theory then share the strengths and limitations of the study. In the
final chapter, six, I present suggestions and recommendations for practice and research in future.
16
Chapter Two: Literature Review
In this chapter I discuss how Grounded theory methodology approaches the literature
review. Next, I outline the search methods employed and how the subsequent studies were
appraised. I then discuss the overview of themes that emerged from the review and noted gaps in
knowledge. Lastly, I present how this study addressed these gaps. During analysis, I returned to
the literature, which informed further theoretical sampling. The new literature became
foundational in the theory development and will be discussed in greater detail in chapter four.
Literature Review and Grounded Theory
Grounded theory (GT) also known as Classical (GT) is an inductive methodology that
generates theory from data comparison. The creators, Glaser and Strauss (1967, 1995, 1999, and
2008) prescribe the avoidance of a literature review prior to analysis. Glaser and Strauss (1967,
1995, 1999, and 2008) believe that the researcher must enter the literature after the analysis of
the data to preserve the authenticity of the emergence of findings (p. 37). Delaying the literature
review safeguards the results from the possible contamination of previous knowledge of the
phenomenon of study (Glaser & Holton, 2007, p. 58). Following analysis, Glaser views the
literature review as another source of data within Classical GT and one can use it to further
develop the theory (Walls, Parahoo & Fleming, 2010, p. 13).
Over time, with subsequent evolutions of GT, the role and purpose of the literature
review evolved (Giles, King & de Lacey, 2013, p. 30). Corbin and Strauss (2008) moved their
version of GT from an objectivist stance to one of pragmatism and recognized that all
researchers have personal and professional knowledge, making the Classical GT pure induction
goal unachievable (p. 36). Walls, Parahoo and Fleming (2010) believed that previous knowledge
17
is not necessarily a limitation but could be considered advantageous in that the researcher is
readily positioned to understand the participants in the field (p. 11). Corbin and Strauss believed
having an overfamiliarity with the literature could be detrimental for the researcher’s creativity
but believed if used correctly, the literature review could enhance conceptualization (Giles, King,
& de Lacey, 2013, pp. 30-31).
According to constructivist GT, the literature review achieves how one may situate the
work within existent literature (Charmaz, 2014, p. 307). Constructivist GT rejected the notion
that any researcher could claim to embody a ‘tabular rasa’, or ‘blank slate’ as suggested by
Glaserian GT (Charmaz, 2014, p. 306). Glaser and Strauss were both experts in their fields of
study when they developed GT (Walls, Parahoo, & Fleming, 2010, p. 11). Charmaz stated that
“completing a thorough literature review strengthens your argument and your credibility” (2014,
p. 308). Adhering to the constructivist GT for the study, I followed Charmaz’ direction in
utilizing the literature to clarify ideas, make comparisons, begin theoretical discussions, and
connect the work with other relevant studies (2014, p. 309).
Search Methods
A comprehensive computer-assisted search was completed using the databases:
Cumulative Index of Nursing and Allied Health Literature (CINAHL), PubMed, Excerpta
Medica Database (EMBASE), Ovid MEDLINE®, and PsycINFO. Search terms for palliative
care included: palliative care, end of life care, terminal care, dying, advanced illness and serious
illness. Search terms for Prognostication included: prognostication, prognosis and survival
estimate. Search terms for chronic disease included: chronic disease, chronic illness, long term
conditions, chronic conditions and chronically ill. Search terms for process included: process,
18
task and function. All of these terms were combined with and, then with Nursing, Nurses and
Nurse, using the Boolean operation to obtain relevant results (see Appendix B).
In order to be included in the review the studies had to address prognostication at end of
life for individuals with a chronic disease, nurses had to be a part of this process and the study
had to be published in English. The studies were then further restricted to fall within the year
range of January 2008 to November 2018. Reference lists from included articles were reviewed
for any additional applicable studies of interest.
Search Outcome and Quality Appraisal
The original search produced 416 articles (see Appendix A for literature review
flowchart). From these results, I removed duplicate articles and studies that were irrelevant to the
topic. Lastly, I reviewed each of the remaining abstracts in more detail and further excluded
articles based on the inclusion and exclusion criteria. A final sample of seventeen articles were
included in this review and were reflective of prognostication as a process that was inclusive of
chronic diseases. These articles were systematically appraised for quality by using the specialist
unit for review evidence (SURE) checklist (see Table 1 in Appendix C). Every study
demonstrated some limitations, however none were excluded from this review based on those
limitations.
Results
All selected articles were published within January of 2008 and November of 2016, there
were no articles captured in 2017. Ten articles used a qualitative research design (Clarkson et al.,
2012; Curtis et al., 2008; Gallagher et al., 2015; Hjelmfors, Strömberg, Friedrichsen,
Mårtensson, & Jaarsma, 2014; Pontin & Jordan, 2013; Reinke, Shannon, Engelberg, Young, &
19
Curtis, 2010; Waldrop & Rinfrette, 2009; Waldrop & Meeker, 2012; Welch et al., 2008). Two
articles were descriptive reviews of how clinicians can improve prognostication (Downing et al.,
2011; Kalowes, 2015). Three articles focused on the role of nurses in communicating prognosis
(Martin & Koesel, 2010; Milic et al., 2015; Newman, 2016). The remaining two articles were
quantitative studies (Clarke et al., 2009; Twomey et al., 2008).
The majority of the publications originated in America (Curtis et al., 2008; Kalowes,
2015; Martin & Koesel, 2010; Milic et al., 2015; Newman, 2016; Reinke et al., 2016; Waldrop &
Rinfrette, 2009; Waldrop & Meeker, 2012; Welch et al., 2008). Two originated in the United
Kingdom (Clarke et al., 2009; Pontin & Jordan, 2013), as well as two from Canada (Clarkson et
al., 2012; Downing et al., 2011). One article originated in Ireland (Twomey et al., 2008), and one
in Sweden (Hjelmfors et al., 2014). The remaining publication was an international study
representing the United Kingdom, Brazil, Germany, Ireland and Palestine (Gallagher et al.,
2015). A summary of the selected publications can be seen in Appendix D.
Analysis
On analysis and comparison of the selected publications there emerged in the literature
related and common themes which were: factors that impact prognostication, communicating
prognostic information, decision-making and the nursing role. Some articles following analysis
demonstrated more than one theme and were included in more than one category.
Factors that impact prognostication. There are three subthemes found in this category,
biological factors, the clinician’s knowledge and clinician behaviours. Biological factors include
diagnostic tests, laboratory values, and patient symptoms. Clinician knowledge includes
understanding performance status, disease trajectories and prognostic tools. Clinician behaviours
20
include confidence of prognostic skill, awareness that accurate prognosis is required to access
some patient services and the awareness of the tendency of clinicians to overestimate or
underestimate length of life remaining.
Biological factors that impact prognostication. The use of laboratory measures,
diagnostic tests and observing patient behaviours and symptom burden are all examples of
biological factors that Clinicians consider when approaching prognostication (Clarkson et al.,
2012; Downing et al., 2011).
Clinician knowledge. The Clinician’s knowledge of the patient’s illness, the history of the
disease and disease trajectory, utilizing prognostic tools and one’s experience and confidence
with the task of prognostication impacts future prognostication (Downing et al., 2011; Kalowes,
2015; Martin & Koesel, 2010; Pontin & Jordan, 2013; Waldrop & Meeker, 2012). The clinician
uses knowledge to educate others about the disease process, explain prognosis, and interpret
medical terms in addition to assessing the patient’s condition (Adams et al., 2011).
Clinician behaviors. Clinician behaviours can impact the work of prognostication. One
example of a clinician behavior that can impact prognostication would be having an awareness of
potential biases. For instance, if a clinician is aware that a time dependent prognosis is needed to
secure specific care services for their patient that could not be secured otherwise. Another
clinician behaviour would be if the clinician believed that the patient would lose trust in their
competency if the prognosis is unfavorable (Clarkson et al., 2012; Pontin & Jordan, 2013).
Studies have suggested there is a tendency of clinicians to overestimate length of life remaining
in patients with whom they share a strong relationship (Clarkson et al., 2012; Curtis et al., 2008).
In the quantitative studies, clinicians were found to be inaccurate in predicting prognosis within a
21
noted timeframe, demonstrating a tendency to underestimate survival in patients when prognosis
was believed to fall within the one to three month category (Clarke et al., 2009; Twomey et al.,
2008). Prognostication by clinicians has been shown to be inaccurate in spite of years of
experience (Clarke et al., 2009; Twomey et al., 2008). This may suggest that the other variables,
such as the clinician to patient relationship may have a stronger impact on prognostication than
clinician knowledge of the disease trajectory or clinician experience.
Communicating prognostic information. Communicating prognostic information to the
patient is thought to be a regular task for clinicians supporting individuals at end-of-life (Adams
et al., 2011; Curtis et al., 2008; Martin & Koesel, 2010; Milic et al., 2015; Newman, 2016;
Reinke et al., 2016). Communicating prognostic information was demonstrated to be framed in
uncertainty (Pontin & Jordan, 2013; Waldrop & Meeker, 2012).
Nurses reported feeling competent to communicate prognosis to their patients but many
are reluctant to do so (Hjelmfors et al., 2014). The majority (69%) of nurse participants believed
that the physician was responsible to disclosing prognosis (p.155). Identified barriers by nurses
in sharing prognosis with their patients included the unpredictable trajectory of their illness, a
fear of taking away the patient’s hope, inadequate time for communication, and a lack of skill in
communicating prognosis (p. 154).
Communicating prognostic information to patients is considered important to quality in
end-of-life care (Adams et al., 2011; Kalowes, 2015). Studies demonstrated that nurses function
as an interpreter of prognostic information between the physician and patient, providing clarity
about the disease process (Adams et al., 2011). Disagreement between physicians and nurses
22
about disease management in patients may hinder nurses discussing prognosis with patients
(Hjelmfors, 2014).
Decision-making. Decision-making is considered to be a part of the process of
prognostication by clinicians and supports individuals decide care and location of care (Adams et
al., 2011; Pontin & Jordan, 2013; Waldrop & Meeker, 2012). The work of prognostication is
often a shared decision between more than one clinician and with the input of the patient (Adams
et al., 2011; Gallagher et al., 2015; Kalowes, 2015; Pontin & Jordan, 2013; Reinke et al., 2016).
Prognostication is framed within time and the characteristics of the terminal condition (Waldrop
& Rinfrette, 2009; Waldrop & Meeker, 2012; Welch et al., 2008).
The nursing role. The nursing role was discussed in a variety of ways in the articles
analyzed. The most prevalent role was that of an advocate (Adams et al., 2011; Kalowes, 2015;
Newman, 2016). As advocate, the nurse provides clear information about clinical status,
prognosis, care needs, and interprets medical information and the potential implications about
decision-making (Adams et al., 2011; Kalowes, 2015; Newman, 2016). Next is the nursing role
of supporter which included the concept of nurses building rapport, building trusting
relationships with patients and families and providing emotional space and comfort when needed
(Adams et al., 2011; Gallagher et al., 2015; Reinke et al., 2016).
Nurses use their relationships with patients in order to facilitate decision-making between
patients and the healthcare team (Adams et al., 2011; Martin & Koesel, 2010; Milic et al., 2015;
Newman, 2016). One article purported that nurses have a responsibility to address prognosis as
patients and families look to nurses to interpret, reinforce understanding, and provide emotional
support (Milic et al., 2015, p. e63).
23
Limitations
Of the four articles that identified grounded theory only one formulated a theory
(Gallagher et al., 2015). A fifth article identified itself as qualitative research, interpretive design
using focus group interview as method (Pontin & Jordan, 2013). These four articles had thematic
findings from a grounded theory approach (Clarkson et al., 2012; Curtis et al., 2008; Pontin &
Jordan, 2013; Reinke et al., 2016). The use of thick description was present in all and all but one
study used more than one investigator in the process of coding and analysis (Pontin & Jordan,
2013). Curtis et al. (2008) used visual models in their study but did not explain the content
validity. All data from these studies were interviews only, there was no attempt for triangulation.
There were three articles of differing qualitative methods which sought to understand the
factors that influence hospice referral or timing of hospice placement (Waldrop & Rinfrette,
2009; Waldrop & Meeker, 2012; Welch et al., 2008). One study was retrospective and dependent
on the memory of staff about decedent patients (Welch et al., 2008).
Two articles were literature reviews (Adams et al., 2011; Newman, 2016). Not all studies
reviewed by Adams et al. (2011) were solely about nurses or nursing prognostication, most
studies were retrospective designs and also included cancer diagnoses. The main focus of this
literature review was on nursing end-of-life roles in decision-making. The integrated review and
synthesis of the literature by Newman (2016) focussed on the disclosure of prognostic
information within the role of nursing, rather than on the process of prognostication.
Two articles were quantitative studies (Clarke et al., 2009; Twomey et al., 2008) and one
study was mixed (Hjelmfors et al., 2014). The Clarke, et al. (2009) study limitations were that
24
they used life insurance industry actuarial methods over actual survival data and hypothetical
patient scenarios.
The study by Twomey, et al. (2008) attempted to compare the abilities of five
professional groups in their estimates of survival for patients within 48 hours of admittance to
hospice. The number of clinical assessments for survival prediction by professional category was
not equal and the prediction categories were unequal in lengths of time. This may explain why
some clinicians were considered more accurate in their prognostication over others. Additionally,
the hospice patients were admitted at different points in their trajectory of illness.
Hjelmfors, et al. (2014) study limitations included the researchers creating the
questionnaire given to the participants from a sexual counselling questionnaire and thus using a
tool without established validation as well as having a sole focus on nurses working with heart
failure patients.
The remaining four articles were focused on educating about prognostic tools, the
characteristics of decline and promoting effective communication with patients and families
(Downing et al., 2011; Kalowes, 2015; Martin & Koesel, 2010; Milic et al., 2015). Three of
these four were specifically addressing nursing working in Intensive Care Units (Kalowes, 2015;
Martin & Koesel, 2010; Milic et al., 2015).
Discussion
The three themes that emerged from the analysis of the literature about the elements of
prognostication are all interconnected. These are: factors that impact prognostication,
communicating prognostic information and decision-making. In order to prognosticate a
25
clinician needs to be able to understand biological measures, disease history, and the patient’s
clinical status and then be able to conceptualize the expected course in future, and communicate
this back to the patient in order to make care decisions.
What is new within this literature review in regards to the topic of prognostication is the
recognition that nurses fulfill multidimensional roles in this end-of-life work. Nurses function in
active ways in the prognostication for patients by using clinical knowledge, experience,
communication, advocacy and interpersonal relationships. A noted limitation in the literature in
regards to nursing roles is that the majority of studies were retrospective in nature and not
observational. Of interest, previous literature, before 1995 did not fully explore or express the
role of nurses in end-of-life decision-making (Adams et al., 2011).
Summary
Key learning in the literature demonstrates that accurate prognostication is desired by
health care teams and the individuals they serve (Corkum et al., 2011; Glare & Sinclair, 2008;
Twomey et al., 2008). Policy makers and health leaders value accurate prognostication to guide
fiscally sound decisions and resource allocation which includes the right location of care (Clarke
et al., 2009; Glare & Sinclair, 2008; Twomey et al., 2008).
Accurate prognostication can guide personal and medical decisions for individuals,
helping them decide which treatments to pursue and which to decline (Corkum et al., 2011;
Glare & Sinclair, 2008; Twomey et al., 2008). Predicting length of life remaining in our patients
is often dreaded by clinicians (Glare et al., 2008). Clarke (2009) regarded the lack of a
standardized way to approach prognostication makes the clinician unprepared for the task.
26
Adams et al., 2011 suggested that clinicians must maximize all available knowledge for accurate
prognostication such as personal experience, performance tools, biological measures, and
personal decision-making abilities.
Prognostic accuracy diminishes as the length of relationship increases between the patient
and clinician (Glare & Sinclair, 2008). The horizon effect in clinical practice and supported in the
literature review revealed that all disciplines improve their prognostic accuracy the closer the
individual is to death (Selby, et al., 2011).
All clinicians that prognosticate regardless of discipline, hold no statistically superiority
to another in accuracy (Clarke et al., 2009; Twomey et al., 2008).
The Study and Addressing the Gaps
The research question is: “What is the theory that explains the process of prognostication
for individuals with life-limiting, non-malignant illness by Palliative Care Nurses” (Ferguson,
2015)? The goal of this study was to co-construct a theory that described and explained the
clinical reasoning processes by which advanced practice PCN conceptualized prognosis for
individuals at end-of-life with non-malignant illnesses. A Constructivist grounded theory (CGT)
methodology was employed to provide the foundation of understanding of the social group and
seeks to discover the “what” and the “how” but also the “why” (Charmaz, 2014).
The clinical and judgement processes of advanced practice PCN are shaped by their own
culture, norms, rules, values, and care contexts. The study identified advanced practice PCN
understanding of prognostication and their clinical reasoning and judgement processes in their
work of prognosticating for individuals at end-of-life with non-malignant illnesses.
27
Significance of the Study
The need for accurate prognostication will continue to grow as the global projections of
mortality and disease burden escalate and increase in prevalence for cancers and chronic diseases
within an aging population (Salomon et al., 2012; Gomez-Baptise et al., 2012).
Prognostication informs care conversations, care decisions such as treatment options, and
end-of-life care locations (Glare & Sinclair, 2008). Prognostication impacts resource utilization
in health care as it has the potential to guide appropriate interventions and care transitions
(Roberts & Jackson, 2013). Advanced practice PCN are well situated to continue the work of
prognosticating in the accessing of hospice care for all individuals at end-of-life but accurate
prognosis for non-cancer illnesses will continue to preoccupy clinicians.
Prognosticating is a significant challenge for PCN to accomplish with accuracy given the
number of identifiable factors including diagnosis, performance status, disease trajectories, age,
co-morbid conditions, symptoms, quality of life scores, clinician’s prediction of survival and
biological markers (Glare & Sinclair, 2008; Glare et al., 2008).
This study presented an opportunity to develop new Nursing knowledge, given the
potential of creating the awareness of how advanced practice PCN experience the process of
prognostication within the non-malignant end-of-life populations. The benefits of accurate
prognostication, such as informed decision-making by individuals at end-of-life and choice
around care setting for all illness trajectories will compel continued striving to understand the
processes and experiences of advance practice PCN.
In the next chapter I present the methodological underpinning used for the research
inquiry. I will present an overview of grounded theory (GT) and its subsequent iterations and
28
why the choice of the constructivist version of GT was the appropriate fit for this study. I
describe the methods of GT used in the study and how the study was conducted.
29
Chapter Three: The Methodology
The methodology and methods chosen to design the foundation for one’s research
requires consideration of the theoretical perspectives and assumptions about reality (Crotty,
2010, p. 3). Elemental in building this foundation is understanding what methodologies and
methods we intend to use, and how we intend to justify and answer the purpose of the research
questions (Crotty, 2010, p. 2). The epistemology, the theory of knowledge, provides the
philosophical guidance as to what kinds of knowledge are possible and how one ensures it is
sufficient and trustworthy (Crotty, 2010, p. 3). Together these elements build one’s philosophical
stance, informing our methodology and giving us the logic or context to which our research is
grounded (Annells, 1996; Crotty, 2010, p. 3).
Research Design
My research foundation was based on a constructivist epistemology within a symbolic
interactionism theoretical framework and a constructivist grounded theory methodology (CGT).
The primary methods that I used for data collection were participant observation and semi-
structured interviews (Crotty, 2010, p. 5). The adoption of the CGT methodology allowed me to
understand and co-construct and theorize about the processes and experiences of prognostication
of PCN in non-malignant illnesses and acknowledge my participation and experience as a fellow
PCN (Charmaz, 2014). To restate, my question was: “What is the theory that explains the
process of prognostication for individuals with life-limiting, non-malignant illness by Palliative
Care Nurses?”
Adopting CGT is appropriate to examine this question because there is limited
understanding regarding the prognostication process of PCN. Using CGT, the goal was to co-
30
construct a theoretical concept model of prognostication which would inform future
development, and implementation of guidelines for nursing and other palliative care
interdisciplinary team members. I chose CGT to acknowledge the relativity and subjectivity
involved in this research.
Next, I present an overview of the philosophical underpinnings of grounded theory and
the subsequent iterations. I discuss how the ontological and epistemological position of the
researcher informed the choice of CGT. I will further outline the steps of recruitment, data
collection, data storage, data analysis and memo writing. Finally, I will explain the vital
importance of the study evaluation in ensuring rigor, accuracy, and reflexivity in the theory
conceptualization.
Philosophical Context: Pragmatism
Symbolic Interactionism is based in the pragmatist tradition attributed to pragmatic
philosopher C.S. Peirce but developed by John Dewey and William James in the early 20th
century (Charmaz, 2014; McCready, 2010). Pragmatism is a philosophical tradition with many
forms but perceives reality as fluid, changing, and open to multiple interpretations (Bryant &
Charmaz, 2007; Creswell, 2013; McCready, 2010). Pragmatism asserts that truth is relative,
temporary, and useful (Creswell, 2013).
Pragmatism is not bound to any one philosophy or reality and it encourages the
researcher explore multiple approaches and analyses (Creswell, 2013, p. 822). Truth and reality
are situated in temporal contexts and are based on external and internal constructions that are
influenced by the social, historical, and political realms (p. 822). Pragmatism informs symbolic
31
interactionism which assumes that society, reality, and the self are constructed through
interaction (Charmaz, 2006, p. 7).
These interactions are reliant on language and communication and these interactions are
by nature changing and open to interpretation (Charmaz, 2006, p. 7). PCN actions are based on
symbolic meanings in their specific context bound by their social norms and values in the
clinical setting. PCN have a shared language by which they interpret their experiences and
establish understanding.
Theoretical Context: Symbolic Interactionism
Symbolic Interactionism (SI), attributed to W.I. Thomas and Charles Cooley in the
1920s, and further developed by George Herbert Mead in the 1960s, is a theoretical perspective
that focuses on the relationship between individuals and society through language and symbols
(Annells, 1996; Charmaz, 2014; Milliken & Schreiber, 2012). There are three main assumptions
in SI: individuals construct selves, society, and reality through interaction and interpretation
(Charmaz, 2014, p. 610). The individual ‘self’ is defined through social relations and interactions
through experiential transactions with other individuals in an environment (Charmaz, 2014;
Mead, 1962, p. 225). Individuals then further direct and modify meanings in social exchanges
(Annells, 1996, p. 381).
Shared meaning, or ‘joint action,’ is the basis of culture as individuals change their
actions based on interpretation or on the anticipated responses of others (Milliken & Schreiber,
2012). It is important to learn the meaning behind action as individuals can be understood by
looking past their behaviors to the meaning that drives it (Milliken & Schreiber, 2012). Charmaz
32
(2014) suggested that SI encourages the researcher to learn about a world in a specific time and
place through people’s troubles, actions, and accomplishments (p. 262).
The tenets of SI interaction, as defined by Mead, is to enter the ‘attitudes of the
community’ in which we as individuals learn to adopt the standpoint of others (Crotty, 2010, p.
74). To adopt the standpoint of others means to accurately reflect and record the observations of
the PCN in the study of non-cancer prognostication with their meanings as well as my own
(Crotty, 2010, p. 75). This joint interaction is dependent on verbal and nonverbal language and
meanings (Charmaz, 2014, p. 266).
Interactions in the community are continual processes occurring between the individual,
the collective, and the environment (Milliken & Schreiber, 2012). The community reflects the
relativity of many standpoints and the subjectivity of the individual acting in their social worlds
(Charmaz, 2014, p. 269). This aligns well with the interpretation of a studied phenomenon and
the need for members’ check-in in CGT (Bryant & Charmaz, 2007; Charmaz, 2006; Charmaz,
2014; Higginbottom & Lauridsen, 2014).
My own conceptualization and representation of the constructed theorizing may not
adequately resonate with the participants underlying beliefs about prognostication and the
meanings behind the behaviour may remain elusive (Charmaz, 2006, p. 144). Findings are
subjective and in context to this researcher’s history, time, and PCN culture (Charmaz, 2006;
Charmaz, 2014; Creswell, 2013). Symbolic interactionism helped frame the theoretical
construction of the grounded theory (GT) as SI focuses on meaning-making and the actions of
the PCN in the work of prognostication and GT focuses on the process. Jointly, SI and GT were
compatible in answering the research question (Charmaz, 2006).
33
Social Constructivism
Social constructivism, also referred to as constructivism and interpretivism, is a social
scientific perspective and worldview that defines realities (Creswell, 2013, p. 749). Prawat
(1999) identified three contrasting versions of social constructivism which share a common set
of assumptions but differ in how they view the mind-world connection (p. 255). The mind-world
connection of the social constructivism version that aligns with GT is attributed to Peirce and
Dewey and later by Vygotsky (Charmaz, 2014; Prawat, 1999). This version views knowing and
learning as embedded in social life and does not assume an overly individualistic, subjectivist
stance (Charmaz, 2014, p. 14).
In constructivism, nature is a construct of the mind for the individual and collectively
with others, through social interactions (Lincoln & Guba, 1985, p. 86). Thus, the ontology of
constructivism is relativist, as the truth about reality is socially negotiated (Appleton & King,
2002; Creswell, 2010, p. 759). Similarly, the epistemology of constructivism, or how one knows
what can be known and constitutes reality, is subjectivist in a nature and a co-creation between
the researcher and participants (Creswell, 2010, p. 759).
A constructivist believes that anything that is and can be known is first created in the
mind of the knower (Crotty, 2010, p. 58). The ontology and epistemology of CGT are entwined
as the knower cannot be separated from what can be known in the co-construction of reality
(Guba & Lincoln, 2005, p. 195). Unlike constructionism, which denies individuals can derive
meaning objectively, constructivists believe it is possible for individuals to derive meaning from
objects in the environment as well as from social interactions (Crotty, 2010, p. 54).
34
In constructivism, the researcher desires to know and interpret the meanings of others
about the world in which they live and work (Appleton & King, 2002; Creswell, 2013, p. 749).
Constructivist research begins with an experience of interest, then the researcher enters the
community where the phenomena of study resides and gathers numerous views of it (Charmaz,
2006, p. 187). Subjective meanings are developed through complex analysis and are tied to
social and historical contexts (Charmaz, 2006; Creswell, 2013).
Meanings come through social constructions, values, and norms (Appleton & King, 2002;
Creswell, 2013). The researcher is not a neutral observer. Rather, researchers are aware and
acknowledge their own life experiences in how it shapes their interpretations (Charmaz, 2014, p.
13; Mir & Watson, 2000, p. 942). Constructivists declare their explanation of the experience
itself is a construction (Charmaz, 2006, p. 187). This perspective assumes that the researcher and
participants co-construct reality together (Charmaz, 2014, p. 14; Mir & Watson, 2000, p. 942).
Rationale for a Constructivist Version of GT
GT methodology, a qualitative research approach, is widely used across disciplines and
subject areas and has over time evolved into three distinct branches (Bryant & Charmaz, 2007).
The great appeal of GT to researchers is that each version offers a strong framework for
systematic analysis yet with different ontological and epistemological perspectives
(Higginbottom & Lauridsen, 2014).
Choosing which type of GT to employ in research is related to the researcher’s
assumptions underpinning their beliefs about reality inclusive of their definition of theory (Mills,
Bonner, & Francis, 2006). It is vital to understand these assumptions to maintain methodological
congruence and credibility in the research design (Mills et al., 2006).
35
The following section will provide a historical overview and evolution of grounded
theory (GT) from its classical roots to the constructivist version attributed to Charmaz (CGT). I
will explain how the different versions of GT define theory and the anticipated challenges I faced
in the analysis of theorizing Palliative Care Nurses (PCN) prognostication.
Classical/Glaserian GT. The dominant research during the 1960s were quantitative
methodologies following a positivist paradigm (Charmaz, 2014). Quantitative research limited
the ability to understand human experiences and processes as it considered only variables that
could be explained or measured in a deductive manner to predict and control (Higginbottom &
Lauridsen, 2014). It was a time when research was spent refining quantitative instruments but
rarely produced new theory (Charmaz, 2014).
The seminal work of GT was developed by two sociologists, Barney Glaser and Anselm
Strauss, in 1967. The intent of GT was to provide an alternative approach to the prevalent
verification research tradition of the time (Jeon, 2004; Mills et al., 2006). GT focuses on
developing theory through close-up contact with the real world (Creswell, 2013; Streubert &
Rinaldi-Carpenter, 2011). GT does not start from existing theory, but rather it is an inductive
approach to discover the theory and phenomena that impacts people and society (Higginbottom
& Lauridsen, 2014; Schreiber & Stern, 2001; Strauss & Corbin, 1994).
The underlying premise of GT is that the proposed analytic approach could generate theory and
explain real world social processes in a systematic and practical way (Birks & Mills, 2011;
Glaser & Strauss, 1967; Hunter, Murphy, Grealish, Casey, & Keady, 2011). The intent of Glaser
and Strauss (1967) was to move qualitative research beyond description and into theory
conceptualization (Walker & Myrick, 2006).
36
Classical GT is philosophically considered to be realist in ontology and post-positivist in
epistemology, although Glaser never disclosed a philosophical underpinning (Birks & Mills,
2011). Philosophically, Classical GT fits a critical realism and post-positivist paradigm, based on
the language Glaser created to explain the GT methods (Annells, 1996; Charmaz, 2014). In
developing GT, Glaser and Strauss successfully brought two contrasting theoretical perspectives
approaches in Sociology, positivism and pragmatism (Bryant & Charmaz, 2007; Charmaz, 2014;
Walker & Myrick, 2006).
Classical GT holds the researcher in a neutral, independent and objective stance in
relation to the research participants (Hall, Griffiths & McKenna, 2013). The theory that emerges
from the data is not forced by the researcher. Rather, the theory will appear with the rigorous
analytic comparison (Glaser & Strauss, 2008). A researcher using the Classical GT approach
will not undertake an initial literature review because this could bias and contaminate the
emergence of objective truths, suggesting that the researcher may force categories based on
learned theories (Thornberg, 2012).
GT has the following features: the simultaneous involvement with data collection and
analysis, constructing analytic codes and categories from data and not from preconceived ideas
or theories (Birks & Mills, 2010; Charmaz, 2014). Employing the constant comparison method
at every analytic stage will advance theory development using memo-writing to elaborate and
define category relationships and identify gaps (Jeon, 2004). Lastly, sampling is aimed towards
theory construction only and is not meant to represent a population (Jeon, 2004). In GT, the
literature search follows the independent analysis (Thornberg, 2012).
37
Straussian GT. It was Anselm Strauss, a sociologist from Chicago, who invited Barney
Glaser to join him in his research on the experience of dying that led to the creation of the GT
methodology (Birks & Mills, 2011). Although much of the basic principles of GT are credited to
Glaser, Strauss’ pragmatic background influenced GT in that the focus was not left entirely on
structure and rigor (Shklarov, 2010). Strauss believed process was of greater import than
structure (Charmaz, 2014). His focus was more on the action of human beings who he
considered to be active agents in their worlds and who reflected social meanings through
language (Charmaz, 2014).
Strauss later wrote that GT adhered to the philosophical traditions of symbolic
interactionism and pragmatism (Birks & Mills, 2011). Glaser wanted to elevate GT to being
above a philosophy to maximize its usefulness to social researchers. However, all social research
has the components of philosophy, methodology, and methods (Birks & Mills, 2010).
Strauss’ GT diverged from the Classical form in the 1980s toward a version of GT that focused
on verification, while still adhering to the original principles of being inductive and an iterative
approach (Charmaz, 2014). His co-developer, Juliet Corbin, favored applying more step-by-step
techniques for the researcher to follow, which was of interest to many because the original GT
lacked any illustration of how to translate process into practice (Hunter et al., 2011;
Higginbottom & Lauridsen, 2014).
The most noted difference between Classical and Straussian GT is the addition of axial
coding which is an added step meant to encourage the researcher to consider the context
surrounding the core categories (Kendall, 1999). Glaser objected to this, suggesting that this
additional step forces the categories based on preconceived ideas (Charmaz, 2014).
38
Constructivist grounded theory (CGT). Kathy Charmaz is credited with the next
iteration of GT, the constructivist grounded theory. Charmaz, a sociologist, studied with both
Barney Glaser and Anselm Strauss. Philosophically, Charmaz aligns closer to Strauss than
Glaser, which is toward symbolic interactionism. However, she is more relativist than Strauss
who leans more towards realism (Charmaz, 2014, p. 17). Charmazian GT adopts the methods of
the former GT without adhering to earlier assumptions (Charmaz, 2014). “I assume that neither
data nor theories are discovered. Rather, we are part of the world we study and the data we
collect” (Charmaz, 2014, p. 17). Although it adopts the inductive, comparative, and emergent
approach of classic GT, the constructivist approach highlights flexibility within GT by
acknowledging relativity, and subjectivity (Charmaz, 2014). Subjectivism rejects the idea of one
external or objective truth and instead, asserts that people “construct the realities in which they
participate” (Charmaz, 2014, p. 342). From this perspective, as the researcher I could not be
completely objective; I could not separate myself and my experiences from this research. I
acknowledged that an interrelationship existed between the researcher and the participants
(Charmaz, 2014; Higginbottom & Lauridsen, 2014). I acknowledged that the emergent truths and
theorizing was based on the interpretation of the data through the lens of an advanced practice
PCN.
A CGT assumes that the products of the data analysis are social constructions situated in
time, place, culture, and situation (Charmaz, 2006, p. 130). Constructivism aims at an
interpretive understanding of participant’s meaning (Creswell, 2013; Guba & Lincoln, 2005).
The goal is to gain a deep understanding of meanings behind the co-construction (Appleton &
King, 2002; Creswell, 2013). A constructivist recognizes that one explanation of phenomena of
39
study may not be achievable and many viewpoints may require separate illustration (Charmaz,
2014). Therefore, this research was informed by a constructivist theoretical framework allowing
me, the researcher the ability to regard the social realities from the PCN perspective (Crotty,
2010, p. 3).
Due to these epistemological and ontological differences, the resulting theorizing that
emerges in CGT is fundamentally different from classic GT. In the classic version, the generated
theory is discovered by the researcher, implying the researcher is independent from the data
(Glaser & Strauss, 1967), whereas in CGT, the emergent theorizing of actions became a co-
construction between the participants and the researcher (Charmaz, 2014; Higginbottom &
Lauridsen, 2014). Theorizing is a studying of actions, an interpretive practice that can reveal
processes at a collective level (Charmaz, 2014).
Theory in contrast to theorizing seeks to find causes and explanations to emphasise
generality and universality (Charmaz, 2014, p. 229). Theorizing seeks to learn the relational
linking of what people do into how they do it as a contingent relationship and why they do it
(Charmaz, 2014, p. 228).
Methods
Sampling and Recruitment
The participants consisted of a convenience sampling of PCN employed within the
Palliative Care Program in Alberta Health Services. The inclusion criteria was nurses who were
currently working as PCN with a minimum of one year full time experience in the role.
Theoretical sampling was also utilized to refine the early themes and concepts which emerged
during analysis to achieve saturation (Charmaz, 2014, p. 192). Theoretical sampling is the
40
strategy of gathering more data to elaborate and refine categories when one’s current categories
are intriguing but incomplete (Charmaz, 2014, p. 192). The categories and subcategories were
integrated to form a theoretical model. This model, the final product of the study, explains the
central phenomena and factors of the data (Charmaz, 2014, p. 305).
The research sample included 11 PCN, none of which were male. Ten worked in
advanced practice consultant roles and one in a front-line position. All were current and active in
their employment with the Palliative Care Program. The following parameters demonstrated
differences: years of experience in palliative care, level of education attained and participant age.
The majority of the participants had greater than 20 years of palliative care experience and had
achieved a Master’s degree as their highest level of education. The average length of palliative
care experience was 14 years. One participant had achieved a PhD and one held a Bachelor’s
degree. Five participants were ‘Baby Boomers’, four were ‘Generation X’ and two were
‘Millennial’.
To facilitate the recruitment I approached the three managers responsible for the PCN
programs in the Calgary Zone and requested an invitation be sent via the secured group email
strings. Included in the email was a participant poster, a synopsis of my research and contact
information with which individuals could reach me.
Data Collection
For this study, preliminary data analysis began following the initial gathering phase of
data collection (Sandelowski, 1995, p. 372). The primary sources of data were direct observation
of PCN followed by unstructured interviews, field notes, and memoing. I deliberately chose not
to interview PCN in a group setting as I believed that this may have inhibited responses of the
41
individual experiences and could have generated responses reflective of perceptions that reflect
prescribed attitudes of the community (Mead as cited in Crotty, 2010, p. 74).
One face-to face unstructured interview was completed with each participant (Interview
Guide, Appendix E). The length of the interviews varied from 30 minutes to 90 minutes in
duration. Participants agreed to a second interview but this was not deemed necessary as the
responses in the initial interview were thorough. Following written consent, identical warm-up
questions were used to initiate the interviewing process with a review of their rights as a
participant.
Materials. Materials for my study included a voice recorder to record the interview
component of my data collection. I purchased a computer application called Sound Organizer®
with which I could manipulate the speed of the recording in order to capture all of the
conversation in the process of transcription. Sound Organizer® is password protected for safe
and ethical storage and additionally allows the researcher to access the recording for future
reference and re-listening. A journal notebook and pen was used to capture field notes,
observations and memos. Microsoft office® products was used to create interview guides and
information documents to guide the expectations and procedures for the researcher and
participant.
Ethics procedures. I received approval from the University of Calgary Conjoint
Health Research Ethics Board on May 12, 2016, ID REB16-0401. Alberta Heath Services
approval was immediately applied for but permission to proceed with data collection was
delayed due to a new and additional approval process for clinical research and subsequently AHS
42
permission was not granted until November 21, 2016. A renewal application for ID REB 16-
0401 was required and was granted April 30, 2017.
In terms of ethics and recruitment, I solicited PCN participants through internal AHS
email string. I sent my invitation email to the three Program Managers to forward to all PCN
with the background and rationale for the study. Once individuals declared their interest, I sent
them the formal consent documents to complete with the logistical information about setting up
meeting times. The process of obtaining written consent was completed with the participants to
establish informed consent and to choose pseudonyms to protect their identity.
To maintain privacy and confidentiality participants’ names have been changed to
pseudonyms. Only I know whose identity matches to each pseudonym. To keep this data safe
and secure, I kept all data electronically stored with a password and encryption (Loiselle &
Profetto-McGrath, 2011, p. 81). Participants expect researchers to keep their information secure
and confidential, even though informed consent allows the participants to withdraw from the
study at any time (Loiselle & Profetto-McGrath, 2011, p. 79).
The selection process for the potential candidates is demonstrative of purposive sampling,
which means the participants were selected from the PCN pool of AHS nurses who do the work
of prognostication (Loiselle, & Profetto-McGrath, 2011, p. 211). The total number of PCN in the
Calgary Zone is approximately 65 nurses. The targeted number of participants through the
purposive sampling was approximately 65 nurses, in order to garner a generation and uptake of
ten to fifteen participants.
Observation & interview procedure. Preparation for the observation and interview
process began with obtaining ethics approval and permission from AHS leadership to request
43
access to participants and to perform observations at the work site. Observation did not hinder
the work of the PCN as this was part of their daily assigned work. Interviews were booked on the
PCN’s own time to minimize disruption to the clinical demands during work hours. I included
time to explain the purpose of the interview, the aspect of anonymity, confidentiality, consent
and what was to happen to the findings (Ryan, Coughlan, & Cronin, 2009, p. 311).
Richards and Morse (2013) presented the importance of having a quiet, private setting
where the researcher can be alone with the participant without threat of being interrupted by cell
phones, pagers or other sounds (Richards & Morse, 2013, p. 126). Corbin and Morse (2003)
described the home environment as being ideal for interviewing because it creates a stance of
friendship between the interviewer and interviewee (Corbin & Morse, 2003, p. 338). I let the
participants dictate the locations of the interviews for their convenience and found most chose a
locale outside of work property.
I found it practical to prepare a paper outline of procedures to act as a general guide for
the interview. This added structure ensured that there was no difficulty in remembering to review
important concepts such as confidentiality and the ability of the interviewee to stop the process at
any time (Ryan et al., 2009, p. 311). Memoing about the observations were completed before the
interview to provide future contextual analysis as “memo-writing provides a space to become
actively engaged in your materials, to develop your ideas, and to fine-tune your subsequent data-
gathering” (Charmaz, 2006, p. 72). When the interviews were completed a verbatim transcription
of each recorded interview was done as the initial steps in data analysis and GT coding (Ryan et
al., 2009, p. 312).
44
Instrumentation. The primary tools that was employed in the GT process was
unstructured interviews with participants, direct observation, memo writing, coding,
diagramming and field notes (Chenitz, & Swanson, 1986, p. 67). Direct observations of the
participants in their contrasting settings performing the process of patient prognostication was
also undertaken (Chenitz & Swanson, 1986, p. 87).
Data collection. GT uses many different types of methods by which to gather data such
as interviews, memos, field notes, formal documents, journals and videos (Corbin & Strauss,
2010, p. 27). The researcher begins by collecting data and finishes by writing the analysis while
reflecting on the entire process (Charmaz, 2006, p. 11). I collected data through interviews,
memo writing, and field notes and through direct overt observation of the processes of
prognostication of the PCN (Chenitz & Swanson, 1986, p. 53). Having more than one data
source provided a foundation for diversity and provided the opportunity for the development of a
strong theory (Chenitz & Swanson, 1986, p. 152). I observed all participants before their
interview.
From the types of interviews that could be employed, namely the structured, semi-
structured or unstructured, I chose the unstructured interview approach. Using unstructured
interviewing served a dual purpose. Unstructured interviews allow the interviewer to ask the
participants what questions they should be asking as well as be giving the answer to the
questions asked (Lincoln & Guba, 1985, p. 269). Engaging in genuine conversations with the
interviewees about the topic of prognosticating within non-malignant populations, the
unstructured approach allowed the use of broad open-ended questions to be utilized (Ryan et al.,
2009, p. 310). “Unstructured interviews are most appropriately used in studies where the
45
researcher seeks to learn primarily from respondents what matters or how procedures are
understood” (Richards & Morse, 2013, p. 126).
Ryan, et al. (2009) emphasized the importance of “letting the interviewee talk,
uninterrupted at their own pace while responding with comments and probes when appropriate”
(p. 311). I recognized that I could not control the process of the interviewing, as the participants
are highly skilled communicators who actively utilize open-ended questioning and frequently
utilize exploration as a part of their daily clinical practice. It is an expected clinical competency
to demonstrate a facilitator style in conversation and employ active listening. The practitioners
are practiced professionals in both roles.
“In the unstructured interviews…the participants are given considerable control over the
course of the interview” (Corbin & Morse, 2003, p. 339). The challenge of being in the role of
the active listener in this process is that I have been used to having equal speaking time with the
individuals being interviewed. However, the process is consistent with the practices of an
unstructured mode of interviewing in that the agenda and pace of the interview is set by the
participants through their stories and events they chose to tell (Corbin & Morse, 2003, p. 340).
Gathering further information through direct overt observation of the processes of
prognostication of the PCN was to enrich the interview data to provide a deeper analysis and
trustworthiness (Lincoln & Guba, 1985, p. 287). The data obtained through the participant
observations served to check the actions and behaviours of prognostication in practice with how
the participants articulated this work in the interview during data analysis. I decided to follow a
consistent framework to guide the individual participant observations (Mack, Woodsong,
Macqueen, Guest, & Namey, 2005, pp. 13-27).
46
According to Mack et al., 2005 a good observation is based on specific criteria to which I
followed (p. 20). These included watching for verbal behaviours and interactions around
categories of gender, age, ethnicity, profession, and tone of voice (p. 20). I paid attention to the
physical behaviours and gestures of the individuals being observed both participants and patients
and their families (p. 20). I also noted the use of space by those being observed and the impact of
traffic through the environment during the interaction (p. 20).
The difficulty in doing participant observation is knowing what to focus on at any given
time and to remember the details of the interaction with accuracy and detail. I found it important
to immediately write my field notes on completion of the observation. I later wrote a broader
narrative style memo on each field note which I tried to accomplish this within a two day period.
I specifically avoided using abbreviations to avoid confusion when writing my memos. During
analysis, I compared my observation memos and looked for conceptual categories and themes.
Direct observations provided the presentation of “motives, beliefs, concerns, interests,
unconscious behaviors, customs…and to see the world as the participants do” (Lincoln & Guba,
1985, p. 273). Additionally, Lincoln and Guba (1985) presented observation as giving the
researcher the opportunity to check back with the findings of the interview data to analyze the
categories of information for congruency or dissonance (p. 276).
Data analysis. Data analysis began with the initial gathering of data. “In many kinds of
qualitative work, analysis begins as soon as the first units of data are collected and this
preliminary analysis then directs further data collection” (Sandelowski, 1995, p. 372). GT coding
“requires us to ask analytical questions of the data we have gathered” (Charmaz, 2006, p. 42). It
47
is encouraged that the researcher start reading through the transcripts to start production of the
theory through coding (Charmaz, 2006, p. 45).
In CGT, there are two phases of coding which are initial and focused. Initial coding
includes looking at words, lines, segments and incidents for their analytic import. The
subsequent focused phase is where the researcher selects the most useful initial codes to sort,
synthesize, integrate and organize large amounts of data (Charmaz, 2006, p. 42). GT is noted for
comparing data with data and then data with codes. It is this constant comparison approach that
attempts to gather enough information to fully develop or saturate the model (Creswell, 2013, p.
1919). Coding suggests building categories concerned with telling and shapes an analytic form
from which the researcher builds the analysis (Charmaz, 2006, p. 52).
I chose to theoretically sample after the seventh interview in order to further direct and
develop the emerging theoretical concepts and met the criteria of saturation by interview eleven.
(Charmaz, 2014, p. 193). Additionally, I requested clarity from the initial seven participants via
their managers and work email as to whether the concepts resonated with them. Three of the
seven returned responses that were then coded with the interview participants eight through
eleven. Theoretical sampling is undertaken to obtain further data to refine and fill out the major
categories until there are no new categories (Charmaz, 2014, p. 192).
It was obvious through this coding exercise and reflective memoing that the experiences
of PCN and prognostication was more complex than I had anticipated. I found I could theorize
about these categories with the “what” happens with prognostication but was having difficulty
with establishing activities of theorizing with the “why” and “how” of PCN prognostication and
their subsequent contingent relationships. Memoing reflected that I was not hearing nor seeing
48
any new patterns yet I could not analytically move forward. In one memo, I wondered if I was
experiencing what Glaser referred to as ‘reflexivity paralysis’ (2001, p. 41).
Though frustrated, I recognized through memoing that the theorizing would remain
incomplete unless I returned to the data. I had to set aside my preconceived ideas about
prognostication and made the decision to re-engage with my verbatim transcript to specifically
attempt to answer those “why” and “how” questions (Charmaz, 2014, p. 228). In order to ensure
that I was maximizing the findings I chose to return to the all of the transcripts and re-coded all
eleven transcripts with additional first cycle coding for emotion (Saldaña, 2009, p. 86). The
initially coding had explicated the three overarching categories of PCN prognostication but it
was the additional first cycle coding that thickened and produced further subcategories which
clarified the “why” and “how” of prognostication. I was thus able to thicken my categories and
move into theorizing. Theoretical saturation was met following the eleventh interview and data
collection was stopped. Saturation means that no new properties of the categories emerge during
the data collection with theoretical completeness so it is not the same as seeing repetition of
themes when comparing data (Charmaz, 2006, p. 12). To assess whether saturation was
achieved, I asked,
What comparisons could I make between data within and between categories? What
sense could I make of these comparisons? Where did this lead me? How did these
comparisons illuminate my theoretical categories? In what other directions, if any, did
they take me? (Charmaz, 2006, p. 12)
49
Coding means categorizing segments of data with a short name that simultaneously
summarizes and accounts for each piece of data. “Your codes show how you select, separate, and
sort data to begin an analytic accounting of them” (Charmaz, 2006, p. 44).
While coding occurs so too does memoing built on observations and impressions. Any
known thoughts and theories can be added to the text in the margin, sometimes simultaneous
with the writing of the line-by-line coding (Charmaz, 2006, p. 44). Previously, I discovered that
writing narrative memos can be uncomfortable in the beginning as it can feel like an exercise in
creating more questions. Charmaz recommended that the best way for a researcher to engage in
their material after establishing codes and categories is to write memos. “Memo-writing is the
pivotal intermediate step between data collection and writing drafts of papers” (Charmaz, 2006,
p. 72). She encouraged memo-writing as a crucial method in GT to analyze the data and codes
early in the research process (Charmaz, 2006, p. 72).
I used the activity of diagramming as part of the theorizing process and created multiple
visual concept models to tease out relationships between categories as well as look for movement
and meaning (Charmaz, 2014, p. 218). My final concept model was built on this beginning
framework and process of diagramming (Charmaz, 2006, p. 86).
Study evaluation. Whether you follow the evaluation strategies of Chenitz and Swanson
(1986), Charmaz (2006), or Corbin and Strauss (2008) these strategies have considerable
overlap. As with all forms of GT, our goal as researchers is to validate findings and seek to prove
fit, relevance, work and modifiability throughout the research process (Charmaz, 2006, p. 182).
Chenitz and Swanson (1986) outlined several guidelines to consider when evaluating GT
research (p. 151). These guidelines include the nature of the research question, the nature and
50
scope of the literature review, whether multiple data sources were used, the theory itself and the
theory’s usefulness (p. 152). The nature of the research question is cited as one of the most
important factors when evaluating GT. A research question should be broad enough to elicit data
that could change the question as the research develops. This relates to the concept of “Fit”
which refers to how the categories in the theory relate back to the theory (McCann & Clark,
2003b, p. 26). If there is little to no change it may be attributed to researcher bias (p. 151). This
concept is related to “Relevance” which is demonstrated when emergence of the theory has not
been altered by preconceived ideas (McCann & Clark, 2003b, p. 26).
The research question was: “What is the theory that explains the process of
prognostication for individuals with life-limiting, non-malignant illness by Palliative Care
Nurses” (Ferguson, 2015)? While sufficiently broad and open enough to fulfill “Fit” in eliciting
data, the question did evolve as the study progressed. During analysis and theorizing, the
question narrowed in scope to be exclusive to the work of the advanced practice PCN.
If the research question does not fit the setting in which the research is occurring, then
this too is a sign that the nature of the question is incorrect (p. 152). This concept refers to
“Work” which is the ability of the theory to explain the phenomena in context (McCann & Clark,
2003b, p. 26). There was congruence between the research question and the setting, further
strengthening that the nature of the research question was correct. This was evidenced by the
emergence of a core-category that elicited the phenomena of ‘Temporizing Uncertainty’.
Next, one regards the literature review in GT which serves a vastly different purpose than
in quantitative research. Done well, the literature review in GT serves to elevate theoretical
development rather than direct the focus of the research (p. 152). Also, whether or not the
51
researcher utilized multiple sources of data. In GT, continuously evaluating data against other
sources which ensures greater diversity and the development of stronger theory (p. 152). This
speaks to “Modifiability” which shows that the theory is both adaptable and modifiable (McCann
& Clark, 2003b, p. 26).
The initial literature review in chapter two demonstrated limited knowledge on the study
topic (see Table 1 in Appendix C). By bringing in extant literature in during the analysis and
theorizing, I further honed and developed the categories, sub-categories which offered an
explanation for the discovered theoretical model that represented this advanced practice PCN
prognostic experience with non-malignant illnesses.
The participant observation field-notes and memos were coded and the categories were
compared with the categories and subcategories from the transcribed interviews. Diagramming
exercises were additionally used to visualize relationships (Charmaz, 2014, p. 218). These
actions ensured the development of a strong theorizing process. The final theoretical model is
broad enough to be consider modifiable and adaptable, in that it could apply to other processes
and ambiguous decision-making, beyond the discipline of nursing. This is discussed in greater
detail in chapter five.
Chenitz and Swanson (1986) suggested that the theory itself should be dense and clear.
“Density” refers to whether the categories in the analysis have been sufficiently connected to the
theory which has emerge (p. 153). The theory itself should also reflect the social world of the
participants in the setting of study (p. 153). Lastly, the theory needs to be considered useful.
“Usefulness” subscribes to the notion that the knowledge surrounding the phenomenon has been
broaden enough to inform future research (p. 153).
52
The final theoretical model presented in the next chapter reflects the social world of this
group of advance practice PCN. The emergent core-category and phenomena of ‘Temporizing
Uncertainty’ was unexpected and only emerged after adhering to a second re-coding of the
interview transcriptions that thickened and produced further subcategories which clarified the
“why” and “how” of prognostication. The full theoretical model is discussed in further detail in
chapter five. The usefulness for future research is presented in chapter six.
Like these guidelines, Charmaz (2006) echoed the elements she uses in evaluating GT
research. Of these criteria Corbin and Strauss (2008) stated “of all the criteria I’ve read, I find
hers the most comprehensive because they address both the scientific and creative aspects of
doing qualitative research” (p. 299). These criteria are credibility, originality, resonance and
usefulness (p. 182). Charmaz (2006) provided the researcher a substantive list of questions in
each category to assess each criterion (p. 181). She encouraged their use as “these criteria
address the implicit actions and meanings in the studied phenomenon and help you analyze how
it is constructed” (p. 182).
Credibility. Credibility demonstrates strong linkages between the data and the analysis
and is substantive enough to support your claims that will persuade your audience (p. 182). As
the researcher, credibility includes how well I am able to establish that I have collected enough
data and have been able to demonstrate intimate familiarity with the topic. I need to show that
there enough detail to provide a logical trail of systematic comparisons between observations and
categories (Charmaz, 2006, p. 182).
In order to establish credibility I took a number of necessary steps. For the clinical
observations I created a template with key components to consider when writing the field notes
53
and memoing. This was to ensure that I kept to a consistent approach in data collection without
relying on my memory of the observations. The key components in the template were based on
Mack et al., 2005, comprehensive review on how to conduct participant observations (pp. 1-21).
I chose to focus on the following: 1. Identify and describe the people involved in the interaction.
2. Describe the physical space. 3. Describe the purpose of the interaction and the activities
occurring. 4. Describe the physical behaviours and gestures of the participants. 4. Identify any
sequencing of actions.
The participant observation was purposefully undertaken prior to the interview.
Advanced practice PCN are solo practitioners, they are not usually observed in this work beyond
their own initial orientation to the work and or in orienting new colleagues. I wanted to see how
the work of prognostication unfolds in the clinical environment without preconceived ideas or
impressions on my part. Participants were then interviewed but were not constrained in speaking
about the observed work as part of their examples of exploring prognostication.
I followed my participant observation and interviews with detailed field notes and
memoing on the participant observations. I used the following questions as per Charmaz (2014)
to critically guide the analysis of the data and codes and to avoid my own preconceived ideas: 1.
What is going on? 2. What are people doing? 3. What are people saying or not saying? 4. What
process is at issue here? 6. Under what conditions does it seem to occur? These questions
assisted me in examining ideas and codes and build the foundation of the analysis. I further used
constant comparison between the participant observations to look for interconnectedness with the
categories derived from the line-by-line coding of the participant interviews (Charmaz, 2014).
54
Originality. Originality offers new insights and conceptualization of the data (p. 182).
The research audience will assess originality on how well I can conceptualize the processes of
advanced practice PCN in the prognostication in non-malignant diseases by moving beyond the
mere description of decision-making (Charmaz, 2006, p. 182).
The findings and emergence of the core-category ‘Temporizing Uncertainty’ underscores
the offering of a new concept of the process of prognostication that was unexpected and original
in nature. The core categories and sub-categories were reformed into a theoretical model that
describes in detail the process of prognostication by advance practice PCN well beyond the
decision-making component.
Resonance. Resonance is when the theorizing reflects the lived experiences of the
participants and it makes sense to them (Charmaz, 2006, p. 183). I established resonance with the
advanced practice PCN by email by confirming interpreted findings with theoretical sampling. In
future, the advanced practice PCN will additionally have access to the disseminated research
findings. Feedback in future as to whether it makes sense to them and they have new and deeper
understanding of the processes of prognostication will also reflect resonance (p. 183).
Usefulness. Usefulness takes your offering of theory beyond knowing and into the sphere
of adding substantively for further inquiry (Charmaz, 2006, p. 183). If useful, the research
findings will generate deeper understanding of the lived experiences of the nurses and encourage
future research into related generic processes in prognostication (p. 183). I demonstrated
usefulness in this research in the creation of the theoretical model of ‘Temporizing Uncertainty’
as presented in chapter five. This model demonstrated the phenomenon of advanced practice
PCN beyond decision-making. It theorizes the process and factors that impact prognostication
55
for this social group. It provides new knowledge of what is known of this clinical work and thus
provides opportunity to improve this work in future, specifically in the area of prospective
trending.
The endeavor to undertake research is daunting and one may not always have clarity into
what impact will result. Charmaz (2006) challenged the researcher to keep in mind the question
“knowledge for what?” and to always remember the readers (p. 184). She said her conclusion
that “we need to consider our audiences, be they teachers or colleagues. They will judge the
usefulness of our methods by the quality of our final product” (p. 182). Corbin and Strauss
(2008) encouraged the researcher to remember that the evaluation criteria of qualitative research
are guidelines and not ridged rules (p. 309). One should not shy away from creative analysis by
being bound to prescriptive rules of evaluation but should be able to justify why and how the
deviation from a conventional mode of inquiry occurred (p. 309).
My research question had an aim to get at meaning, not at a truth or set of truths. A CGT
may remain at a more intuitive, impressionistic level (Charmaz, 2014). I sought implicit
meanings from one interview and then viewed other interviews for the same implicitly
(Charmaz, 2006).
In CGT, the researcher makes multiple analytic decisions (Manning, 1997). A critical
decision is how much content is required to convey the story with depth and clarity to achieve
the right level of complexity we acknowledge the potential audience and sense the appropriate
style and level at which to write it (Charmaz, 2014, p. 285). The outcome of the research
reflected the collective meanings of the advanced practice PCN and their experiences. This was
56
demonstrated through addressing the above noted steps in the evaluation of this study through
the elements of credibility, originality, resonance and usefulness.
Writing. Charmaz promoted a thematic style of writing in CGT (Mills et al., 2006). This
is a strategy that emphasizes a continual analysis of the theoretical framework has been
developed (Mills et al., 2006). Charmaz (2006) stated that with writing, the researcher must face
the challenge of finding a balance between theoretical interpretations with aestheticism (p. 152).
The researcher should attempt to evoke experiential feeling through their writing by using a
linguistic style and narrative exposition to set the mood (p. 172).
Charmaz (2006) encouraged simple and clear language for the sake of readability (p.
172). She also promoted the use of analogies and metaphors to expound tacit meanings and
feelings in a category (p. 172). Charmaz (2006) urged the researcher to consider using questions
to tie main ideas together or redirect the reader (p. 173). She encouraged the researcher using
CGT to ultimately stay in the background as the storyteller. To do this well I started with the
conceptual categories and built the story around them (p. 176). I presented the findings and
theoretical model through my interpretations and through the participant voices using quotations
from the transcribed interviews.
Limitations of the Study Methods
As with all research, this study has limitations. A known limitation with CGT is the
subjectivity of the analysis of the researcher. The CGT is an interpretive methodology which
could be critiqued as being solely based on my biases, assumptions and perceptions without fully
representing those of the participants. Thus it was important to share my own assumptions about
the topic.
57
Another limitation is that all of the participants knew me outside of the role of researcher
and may have responded to the interview questions based on what they thought I might want to
hear versus what they really thought about the topic.
To limit bias during analysis, I coded my interviews blind by using pseudonyms rather
than the actual participant’s name. All codes were later scrutinized by my supervisor and I kept a
journal to reflect on the impact I might have had on the participants.
Recruitment was challenging due to the small number of potential participants working as
PCN in the Calgary Zone. My final sample size was small, however, theoretical saturation is not
dependent on a prescribed number of interviews (Charmaz, 2014). The variety of care settings of
the participants made the logistics of meeting challenging because of distance and travel
requirements. The other clinical demands of the PCN participants interrupted the interviewing
process on a number of occasions and waiting for non-malignant referrals caused the need to
rebook the observation and interview.
Lastly, CGT can be criticized as not being generalizable in nature. Generalizability was
not the goal of this study. Rather, it was to expose and theorize the social actions that underpin
the processes about prognostication for this specific PCN group in their practice context. The
goal was to demonstrate that the criteria of credibility, originality, resonance and usefulness were
met (Charmaz, 2006, p. 182).
Conclusion
In this chapter I described the methodological underpinning for my inquiry about the
process and experiences of advanced practice PCN use to prognosticate in non-malignant
illnesses. I provided an overview of GT (GT) and its subsequent iterations and why the choice of
58
the Constructive version of GT was the appropriate fit for this study. I discussed how the
ontological and epistemological position of the researcher informed the choice of CGT. I
outlined the steps of recruitment, data collection, data storage, memo writing, data analysis and
memo writing. Finally, I explained the importance of study evaluation ensuring rigor, accuracy
and reflexivity in the theory conceptualization. In the next chapter I will present my findings, the
emergent categories, themes and theoretical model and additional relational concepts from the
analysis.
59
Chapter Four: Empirical Findings
This chapter presents the key findings from eleven in-depth interviews and nine
observations. The study objectives that created the foundation of the study were:
1. How did advanced practice PCN perceived prognostication in chronic illnesses versus
malignant illnesses?
2. How did advanced practice PCN approach prognostication in practice?
3. What were the reasoning and decision-making factors that impacted advanced
practice PCN prognostication in non-malignant illnesses?
Findings
Three major findings emerged from this study. These main findings are reflected in three
overarching categories and 14 subcategories (see Appendix J) which formulate the theoretical
framework of ‘Temporizing Uncertainty’. Following is the presentation of the findings through
discussion of each category in connection with the participant quotations taken from interview
transcripts. Participant quotations provide perspective of the individual and collective ideas about
the complexities of prognostication. When appropriate, observational data is woven in to
augment and support the discussion.
The observation settings were in acute care, long-term care, and supportive living, and in
private patient homes during daytime hours when the work of the team is usually completed.
Observations were arranged ahead of time for community settings. Acute care observations were
arranged with the participant on a chosen date with the researcher on stand-by for new referrals
that met the patient criteria. If a new referral during the day did not meet the patient criteria, a
60
new future date was scheduled. The observations were important in the capturing of group
processes, actions, and group communication in the PCN-patient interaction.
Finding One: Cognitive (Thinking) Factors
All participants elicited cognitive, psychological factors that impacted their personal
work and decision-making of non-malignant prognostication. This category represents the ‘what’
or the ‘mind’ of prognostication as an intellectual process of knowing, understanding, and
thinking. The factors that emerged are captured by the following interpreted subcategories: death
awareness of others, questioning self, fallibility, and perceptions of chronic diseases, and
describing chronic diseases metaphorically.
Finding Two: Affective (Emotion) Factors
The majority of participants elicited motivating, affective, psychological factors in
undertaking the work of prognostication. This category represents the ‘why’ or ‘heart’ of
prognostication as the connection of knowledge and motivation with action. The affective,
motivating factors that emerged are captured by the following interpreted subcategories: wonder,
intuition, anticipating dying, preparing the patient and family, and supporting symptoms and
quality of life.
Finding Three: Conative (Volition)
All participants discussed the core concepts of PCN prognostication in their interviews.
The process which emerged in the analysis was interpreted as: Knowing-Assessing-Trending-
Predicting-Pronouncing. This category demonstrates the ‘how’ or ‘process’ of prognostication as
the identified undertaken actions followed by PCN. The overwhelming majority of participants,
during observations demonstrated most of the core concepts that framed the conative process of
61
advanced practice PCN prognostication in non-malignant illnesses. Only one participant was
divergent from the remaining and was not observed to demonstrate the full process of
prognostication.
Participant Observations
The importance of presence was highlighted during participant observations with the
majority of participants during the work of prognostication. I paid particular attention to how the
participants verbally and non-verbally enacted presence during the nurse-patient-family
interactions. I was interested in whether the participants follow the same order of questioning?
Would the participants use the same words? What was similar between clinicians was the
introduction of themselves to others, following the practice standard of our organization (NOD).
There was no similarity with order of tasks or questioning between clinicians nor use of the same
language or rote scripting of questions. What was strikingly similar amongst most PCN was the
non-verbal attention to location and position of self to the patient and family and the use of
positive eye contact and calm demeanor. I believe these attributes provided a strong early
connection in establishing PCN to patient and family rapport.
I observed the demonstration of mindfulness, active listening and engagement by the
overwhelming majority of participants during the patient and family interactions. They were
observed to be aware, attentive, and responsive to the overt suffering of the patient and or the
family. Only one participant was observed to distinctly lack a skilled and mindful nurse-patient
interaction. The observations of the advanced practice PCN doing the work of prognostication
revealed the second subcategory of the exploration step that advanced practice PCN undertake in
the conative process of prognostication.
62
Presenting the Findings Through Participant Voice
The following is the presentation and description of the categories and subcategories in
deeper detail. The complexities of the experiences of the PCN will be shared in their own voices
from the transcribed interviews and through the researcher’s observations of the PCN in their
work of prognosticating.
In finding one, all participants elicited cognitive, psychological factors that impacted DM
of non-malignant prognostication. These factors were subcategorized as death awareness of
others, questioning of self, fallibility, and perceptions of chronic diseases, and describing chronic
diseases metaphorically.
Death Awareness of Others
Death awareness is the awareness of one’s own mortality and according to Terror
Management Theory (TMT), it has the ability to impact our thoughts, feelings and behaviours.
TMT suggests that the majority of individuals repress thoughts of one’s own demise as a means
of self-defence against the existential distress (Mikulincer & Florian, 2002).
All 11 participants (100%) identified that an awareness of death of others emphasizes the
potential ramifications prognosis has on patients and families. This finding is highly significant
in that all the participants recognize the seriousness of the task of prognostication. Advanced
practice PCN may be less aware of the impact death awareness has on their own psyche and DM.
Patricia: Families often need to make decisions based on how we prognosticate you
know. Whether people are coming from out of town you know making arrangements, like
everything and yeah it has huge impact I think.
63
Thelma: Prognosis would be probably one of the major factors that would make a
difference in terms of where he goes from here.
Stacey: You have to be able to prognosticate to go to hospice.
Ann: The fact is that this patient may have a very limited timeframe so do we take away
those opportunities for people to have closure, get home, get to hospice, get the care
that’s most appropriate?
Questioning Self
Question (n.) from Latin is defined as “a seeking, a questioning, inquiry, and examining,
judicial investigation” (Online Etymology Dictionary). Questioning-self is the action of self-
examination. All 11 participants (100%) experienced questioning self in prognosticating.
The PCN is at an impasse having contradicting, often ambiguous information with which
to establish a reasonable estimate of life-remaining. In a non-malignant illness, an example
would be when a patient experiences an exacerbation and it is unclear as to whether the
individual will survive the event or succumb to death. Once the decision is made, the PCN often
distrusts its trustworthiness.
Thelma: I think it just comes with experience and we are never confident.
Patricia: If you know there is aspiration or dysphagia, I would say then I feel more
confident but I always have a level of discomfort.
Stacey: I am going to get into trouble for sending her to hospice.
I was loathe to send her to hospice because I thought (pause) she might be one of those
who might still be here in several months.
64
Karen: I never felt prepared because I didn’t feel I had enough knowledge as I should
have.
Fallibility
Fallible (adj.) from Latin is defined as “liable to err” (Online Etymology Dictionary). A
majority of PCN, 7 of 11 (64%), expressed awareness of their previous, inaccurate prognostic
decisions.
Ann: I’ve made mistakes.
I think there is a fear of us being wrong and feeling, like I know I have colleagues say
well I’ve made mistakes so now next time I am really worried.
Patricia: I think sometimes when you get that feedback it’s like wow, you know? I guess
I’m of the mentality that you know it doesn’t mean that I failed. Right? Or that hospice
was the wrong place.
Thelma: Two weeks later you find they are actively dying and you wonder if there was
something I did not see?
Perceptions of Chronic Diseases
A majority of PCN, 7 of 11 (64%), considered prognostication in chronic diseases to be
more difficult and challenging than in malignant illnesses.
Patricia: I feel less confident predicting prognosis in a non-cancer population unless
somebody has a terminal delirium. For hospice placement I would say almost use the
guide (PPSv2) of 20% or less for non-cancerous diagnoses. Where they have to be
completely bedridden and total care and really only taking a few sips or a few mouthfuls.
65
I would say that tends to be my guide but I feel at times that I’m almost a bit too
restrictive.
Karen: I think with the chronic diseases it’s much more difficult because with a cancer
diagnosis it progresses along and it’s fairly easy to see what’s unfolding.
Describing Chronic Diseases Metaphorically
Some PCN, 6 of 11 (55%), used metaphoric language to visually depict and describe their
experiences of prognosticating with non-malignant illnesses.
Thelma: So, you always go out on a limb with these people.
Karen: I think you know it can appear very serious as though the person has a very short
time but with chronic diseases there is a period of compensation within the body that can
last for an extended period of time so it can be a very cloudy picture.
It’s been said that we are at the end stage that could still look like a roller coaster
nobody knows when that cat is going to have its ninth life.
Trudy: Sometime you see decline like we have talked about with this group of clients
where it’s just a bump in the road.
In finding two, the majority of participants elicited affective, psychological factors when
describing the work of prognostication. This category represents the ‘why’ or ‘heart’ of
prognostication as the connection of knowledge and motivation with action.
The affective factors reflect the underlying motivations and experiences of
prognostication. The interpreted subcategories that emerged were: wonder, intuition, anticipating
dying, and preparing the patient and family, and supporting symptoms and quality of life.
66
Wonder
Wonder (v.) from Old English is defined as “to be astonished or entertain some doubt or
curiosity” (Online Etymology Dictionary). An overwhelming majority of PCN, 10 of 11 (91%),
have experienced wonder with a patient with a non-malignant illness. In retrospect, the PCN is
unable to contemplate the reason for an unexpected death or survival in their patient. This
experience with non-malignant illnesses was reported with amazement, surprise and incredulity.
Sally: I don’t know why he died, I don’t know what it was. I didn’t even think to guess
what it was.
Louise: Why did she die? Not sure.
Thelma: We may predict that someone has a short time and they live longer sometimes.
We predict they have a longer time and then we are shocked that they died and things
happen to people that can’t be predicted.
Intuition
Intuition (n.) from Latin defined as “insight, direct or immediate cognition, spiritual
perception” (Online Etymology Dictionary). A majority of PCN, 9 of 11 (82%), have had
interactions with patients that were easily identified as imminently dying. The decision-making
is quick and often described as an instinctive feeling.
Theresa: I’ve gone through all the clinical stats, the lab values. I’ve done the history and
then go in there and it’s like that was totally wrong. Yes, I think this patient is for sure
dying. There is something telling me that she really is dying right away.
Karen: I think there is a certain instinct in helping or knowing when these things and
transitions are happening.
67
Ann: There is an informal feel of situations which you can’t necessarily put your finger
on but over the years you develop a little bit of a sensor or a feel and intuition as to how
you feel this going to go and that’s harder to define.
Anticipating Dying and Preparing the Patient and Family
All 11 participants (100%) articulated how being able to anticipate or foresee dying is of
value in that it provides the foundation for preparing the patient and family for death, assist with
life review and legacy work and decisions around end-of-life (EOL) location.
Bacall: I try to be as you know clear, especially if it’s very you know we are talking very
short periods of time that I try to be as clear as I can with my patients and families.
Saying, do you want your brother to come from Saskatchewan? Now is the time to give
him a phone call-and those sorts of things.
Stacey: I think they have a right to know. They need to make plans, they need to say
things that they didn’t say-you know all that stuff that needs to be done. I think people
want prognostic disclosure, so trying to prognosticate therefore seems like it is very
important.
Chiefy: It’s more just recognizing it’s hard and thinking about prognostication as
planning and helping families to live in that instability and ambiguity.
Theresa: We didn’t know what was going to happen so at that point I wasn’t asked but I
was involved in a conversation with the family just to help prepare them about the
unknown.
Trudy: How can we provide better care? Or what’s more important now? How does that
fit in with quality of life?
68
Supporting Symptoms and Quality of Life
In the work of prognostication, PCN seek to reframe the focus of the patient at EOL on
the supporting of symptoms and quality of life.
Stacey: I usually pursue the symptom management first because I find if people are
uncomfortable they are unable to discuss anything else.
Ann: I am always looking for ways to modify things to improve the quality.
Patricia: It wasn’t until they realized you know, given this all (pause) he is nearing the
end of his life I accept that and lets just focus on comfort. With that shift and the change
in the management plan, the wife identified that this had been the most comfortable he’d
been in his entire life. This is what I want the focus to be.
Chiefy: I did not see her death in the immediate future but there were a lot of things that
we could do to make her more comfortable.
The Process of Prognostication
The overwhelming majority of participants 8 of 9, during observations demonstrated
most of the core concepts that framed the conative process of advanced practice PCN
prognostication in non-malignant illnesses. All participants 11 of 11 articulated in their
interviews the core concepts of PCN prognostication in the interviews. The process which
emerged in the analysis was interpreted as: Knowing-Assessing-Trending-Predicting-
Pronouncing. The identified process is presented as a rightward moving process illustrated on the
following page.
69
Knowing
Carper (1978), in her seminal work, identified four patterns of nursing knowledge that I
adhered to in the interpretation of this category. Nursing knowledge can be characterized as
being empirical, aesthetic, personal, and ethical in nature (p. 14). This in-depth construct framed
the development of this category into the defined action of applying knowledge in the process of
prognostication of non-malignant illnesses by advanced practice PCN. To know (n.) from Old
English is defined as to “perceive or understand as a fact or truth” and “to experience, live
through “To know (n.) from Old English is defined as to “perceive or understand as a fact or
truth” and “to experience, live through” (Online Etymology Dictionary). However, this category
moves beyond this dictionary definition as Carper’s construct has holistic depth.
I considered Carper’s definition of nursing knowledge when reflecting and reasoning
about this category. The data from the interviews and observations demonstrated that advanced
practice PCN use their acquired knowledge of disease history, illness trajectories, and disease
modifying therapies when approaching prognostication. Secondly, their personal knowledge of
what they have seen and experienced previously in the work of prognostication was integrated
into their subsequent exposure to this work. Thirdly, advanced practice PCN considered
prognostication important, thus the ethically appropriate thing to do, as it was important to
patients and families. Lastly, the aesthetic knowing in prognostication is the combination of the
Knowing Exploring Assessing Trending Predicting Pronouncing
Figure 4.1 PCN Process of Prognostication in Non-Malignant Illnesses
70
previous knowledge categories and any new perceptions and understandings of non-malignant
prognostication (Carper, 1978).
Patricia explained to the daughter that the patient’s prognosis was uncertain based on
her underlying dementia diagnosis. She explained to the daughter that her mother had
many months of poor oral intake and declining physical status and she could not
ascertain whether the clinical status presently was indicative of an imminent end of life
period or a new clinical baseline. (Field notes, Patricia Observation)
Karen questioned out loud why her patient was referred to the Palliative team as she
started to review the patient’s file. She listed his chronic illnesses, looked at his recent
blood work and discharge note and then confirmed with the patient that he had newly
worsening renal failure and had declined dialysis against medical recommendations. She
then asked the patient if he understood the consequences of refusing dialysis. (Field
notes, Karen, Observation)
Trudy explained the uncertainty of when her (dementia patient) death would occur but
discussed with the daughter the ‘markers’ of what indicated getting closer to death such
as diminished consciousness and lack of interest in any oral intake and staying in bed
and sleeping more. (Field notes, Trudy Observation)
The family was very distressed with the patient’s poor clinical status. Sally remained
calm and reviewed his underlying illnesses (COPD, Pulmonary Fibrosis, GI bleed) and
how these were impacting his overall status. She discussed how he was declining with no
expectation of improvement. The family asked for concrete information to support these
71
statements and Sally moved into discussing his recent chest x-ray and lab work which
showed worsening pulmonary scarring and renal failure. (Field notes, Sally Observation)
Theresa: A lot of it [prognostication] goes based on experiences. It’s what we’ve
seen…this is not what we’ve seen. With the COPD population, because I feel like they
don’t have a lot of explanation about what’s going to happen with their disease. So I feel
I do have to use that trajectory scale to help them just understand what is happening.
Louise: It is quite hard to prognosticate with non-cancer and the seniors, I think. It is
hard to use trajectories. They are all good for groups of people but for individuals, you
know, not so great.
Trudy: Prognosticating for end stage lung-disease is very, very tough because people are
amazing and they surprise us all the time.
Exploring
Explore (v.) from Latin is defined as to “investigate, search out, examine” (Online
etymology dictionary). Exploring is the actions the PCN employs to uncover and grasp how the
patient and family comprehend and view the illness status. The advanced practice nurses were
observed to consider the diagnosis of the patient in their interactions, their personal behaviours
and sought to understand the perceptions of the illness by the patient and family. All observed
PCN used attentiveness and active listening as demonstrating the exploring concept in their work
of prognostication. The PCN considers the collection of collateral information of others as
important in this phase.
72
The patient wanted to know what would happen if she decided to stop taking her cardiac
medications. Theresa replied, Can you tell me what you know about your heart failure
and COPD? What have you been told? (Field notes, Theresa Observation)
The sons wanted to let their mom die in her own home. Chiefy asked them to explain what
concerns they had about their mom dying at home, asking for them to share their
perceptions and experience with supporting someone’s dying process. Chiefy leaned
towards the each son as they spoke and nodded as they shared their understanding of the
illness and their subsequent concerns. She addressed their concerns by explaining what
her death would likely look like, possible symptoms that would need managing and after
death care. (Field notes, Chiefy).
Karen: …what has the doctor told you about your illness? ...because then you know
where they are at with their illness and what they are thinking.
Patricia: People have an innate sense.
Ann: A lot of it is feeling your way through conversations and by saying to people what
do you understand is happening with you now?
Trudy: Using the surprise question, well it opens it up not so much to prognosticate but
very much where do you think you’re at?
Sally: I go a lot on the objective report of family.
Ann: I always go for collateral information. I think family are really helpful…you start to
figure out these things you get layers of information that add up.
Bacall: If there are other teams that are involved- hearing from them, what are their
thoughts?
73
Thelma: I got the impression from him that he didn’t think he had more than a couple of
months to live. When I went to see the patient I think my own feeling was even stronger
than what I was leaning towards before I entered the room.
Assessing
Assess (v.) from Latin is defined as to “determine the value of” (Online etymology
dictionary). Assessing is the action of collecting information reflecting a combination of
biological measurements along with the patient’s behaviours by the PCN.
Biological Measures. Advanced practice PCN regarded specific biological
measurements as key components in considering an individual’s prognosis. The
following factors were included in the category of biological measures: physiological
age, weight, blood testing such as CBC, and electrolytes, albumin, creatinine, urea, liver
panel, and output from bladder and bowel. Artificial hydration and nutrition were
considered to be a part of the biological measures.
Personal behaviours. Advanced practice PCN regarded personal behaviours of the
individual in concert with the biological measures as pivotal in the work process of
prognostication. These behaviours included the individual’s desire to eat, quantity of
intake, ability to swallow, and time spent awake/asleep, mentation, will to live, level of
consciousness, and engagement in socializing and one’s ability to perform activities of
daily living.
Chiefy: I do look at albumin…I look at in addition to function, nutritional status,
anorexia, intake…weight loss…edema.
Theresa: I would look at their appetite so how much are they eating and
74
drinking…I would look at their functional status, how much are they moving…and
their lab values…how much are they sleeping during my conversation are they
drifting off to sleep while were talking are they pretty alert?
Trudy: Mostly intake, mobility…cognition…withdrawn…interest in food…telling
that people are getting closer to the end of their life within months perhaps.
Stacey: Albumin…I do look for that when and if it’s really low it just even adds to
my thinking process a bit more about where they’re at.
Patricia: So intake is one of the biggest [prognostic factors].
Chiefy: I try to get a specific functional markers as much as possible but I don’t
use a specific scale because what I want is the patients experience and how they
feel and their limits.
Thelma: If they can’t lie in bed without being breathless, I usually found that has
been a good predictor. Frequent hospitalizations…appetite.
Theresa: She slept through our entire conversation, she was sleeping 90% of the
day…right away, and within 5 minutes of being there I knew that it was clear that
she was a hospice patient.
Karen: I think level of functioning, you know, their mobility, their oral intake.
Trending
Trend (n.) from English is defined as a “general course or direction” (Online etymology
dictionary). Trending is the action of the advanced practice PCN obtaining either a retrospective
or prospective view of the performance status of a patient, over a given timeline, irrespective of
75
non-malignant diagnoses and or presence or absence of symptoms. Trending in the past included
the number of hospitalizations and emergency visits the patient had over a certain timeframe.
The timeframe for retrospective trending ranged between participants from a few weeks to a few
months up to one year in duration. Trending forward frequently included the measuring of intake
and output and functional status over many days to short weeks. Advanced practice PCN seek to
establish an identifiable pattern of either clinical status stability or decline by comparing current
clinical status to the information gleaned from trending. The primary clinical tool used to assess
performance status was the PPSv2.
Patricia: I would also look at sort of the frequency of hospitalizations…over the past
year. We will watch over the weekend to determine whether you know hospice would be
appropriate….to prognosticate if he was in within that timeframe.
Theresa: I would look at how many hospital admissions they’ve had. I will ask the
nursing staff to document…how much did they sleep during their shift, how much did they
eat and how much were they mobilizing because I feel if I can get a good sense of what
that’s like for three or four days I think it helps to determine prognosis.
Trudy: I just grab a chunk of time, six months...three months and look at now as to how it
compares to get a sense.
Stacey: Finding out what’s happened with that patient specifically in the past few weeks.
I will often look at how many urgent care admissions they have had in the past six months
or twelve months.
Chiefy: I find, I think you don’t compensate when it’s a steep change over a couple of
weeks or months.
76
Ann: I am looking for that stabilizing. If it feels like they’ve been stable for probably
around a week to ten days then I might say I think this may be the pattern.
Sally: I am a very big believer in in patterns…the rate of decline, how long have they
been stable, when did they decline and how dramatic.
Theresa: With the PPSv2, I feel like if it is 30% or higher it’s really hard for me to use
because I see so many people with a PPSv2 of 30% that live for quite a long time
whereas if the PPSv2 is more like 20% then I can use that a little bit more stronger for
prognostication. But I use it as an added piece.
Karen: [PPSv2] I think it is less helpful than it is with the cancer patients…with a
chronic disease they can sit in a range for years.
Patricia: We often use the palliative performance scale to guide us you know and I think
it fits well for cancer trajectory when we look at 40% or less I would say almost use the
guide of 20% or less for non-cancerous diagnoses.
Trudy: [PPSv2] It is hard to apply it sometimes to our population because there’s
multiple co-morbidities.
Louise: [PPSv2] It is a good measure, and it gives us a good idea in changes, in that
PPSv2 is probably a better measure for watching a person and functionally they are
changing over time.
Bacall: [PPSv2] is helpful if looking at changes over time.
Predicting
Predict (v.) from Latin is defined as “foretell, advise, give notice” (Online etymology
dictionary). The advanced practice PCN conceptualized and predicted the potential prognosis
77
based on intuition and experience and anticipated the expected decline based on known history
of disease and the patient’s care context. The prediction was shared with the patient and family
in the next category of pronouncing unless the patient and family have requested to not know.
Karen: To the patient I would say “you may not have as much time as you hoped. The key
is to focus on the present and make sense of the meaning your life has held for you. Often
prognosis is inaccurate and focusing on legacy work, your spiritual and mental self,
being with your family and friends can prepare you for whatever is coming.” To the
family, “I think that they will be gone before my next scheduled visit.” The nurse may
need to be more frank as the situation is unfolding.
Thelma: I think my predictions to families are what I am thinking myself. I try to be
transparent with families. At the same time I stress that no one can know for sure. If I am
suggesting a longer prognosis (such as weeks to months) I usually say that something
sudden and unexpected can also happen. I think of approximate time periods, recognizing
that we cannot be precise. I use periods of time: Hours to days, days to a couple of
weeks, a few weeks to many weeks, and weeks to months.
Louise: [With patients and families] I am more likely to talk about time in terms of broad
frames-like weeks to months when discussing prognosis. I always say that I could be
wrong. I am more likely to talk about ‘not another Christmas’, ‘not another month’ and
that I can’t predict how long people live but can talk about what will make a difference to
the quality of the time left. Is there anything you would do differently if the time is
shorter?
78
Pronouncing
Pronounce (v.) from Latin is defined as “to proclaim, announce, utter out in public”
(Online etymology dictionary). The decision formulated the PCN reveals their prognostic
timeline, signs of imminent dying and what to expect with the patient, family and the health care
team, in order to assist with preparing the patient and family for dying and in order to facilitate
transitioning to a palliative approach to care, address symptom management, and chosen end-of-
life location. The prognostic timeline is not openly shared with the patient and family if they
have decided they do not want to know, however, recommendations around symptom
management and location of dying is shared regardless of timeline. The anticipated care needs
and recommended care location along with predicted timeline is shared with the health team and
will be documented in the patients chart, regardless of care sector.
Karen: When the nurse notices a decline indicative of the patient passing into end-of-life
the nurse gently begins to discuss goal of care changes, touring of hospices, increasing
in-home supports as well as the signs of end-of-life. I speak about symptoms as well so
that the patient realizes what may happen. They generally ask a lot of questions. Subtle
statements let patients and families know that the situation is progressing. I may know
that the patient will be deceased soon but I try to use softer terms.
Thelma: [Out of town family arriving in a few weeks] I think my face gave an expression
to her of concern because then she said, is that not soon enough? I cannot say for sure
when he is going to die but if I had to guess I would say we’re in the final days. There are
some things which lead us to believe that someone is nearing the end of their life or what
is currently happening is telling us something. If they are very resistant to hearing what I
79
think, I don’t push it. I always ask if they are wanting to know what I see and what I think
might be happening.
Louise: There is no point in beating around the bush. There is no point in leaving things
misunderstood then I am probably clearer. This is what looks like is happening to me.
I will be very clear with the family. I will say we are really close, your mom or dad is
very close to the end of their life. Do you see that? Do you think that they are dying? So
yes, it is shocking to people because they do not really see it even if it is hitting them in
the face. They may not recognize the person is dying.
Sally: I have had some really frank conversations. Some attending physicians say “I
don’t want to steal hope”. Well, they kind of need to know what’s going on... It is a
misconception that that if I talk candidly and honestly to a patient that they’re going to
lose hope... One patient with multiple comorbidities and whose performance status was
so poor wanted me to tell him directly what was happening. I was saying to him you’re
really sick, you’re dying. We just don’t know when.
Ann: I guess the element of time comes into a couple of things. One would be families or
a person trying to figure out what kind of timeframe am I looking at for the length of my
life, what kind of timeframe am I looking at for functionality, quality of life, interactions
and getting things done? Is their care going to be feasible in their current living situation
they were in prior to that or do we need to look at some options?
The field observations illustrated the differences between clinicians in the ordering of
their directed time with patients and families. Only one clinician was seen to follow a list of
sequential tasks with closed-ended questioning. All remaining advanced practice PCN
80
consistently used an unstructured approach, open-ended questioning using words that were
unique to the individual. No one followed a similar sequence of questions or the gathering of
information in a specific order however, the majority allowed the patient and or family to direct
the movement of the conversation. All but one clinician followed mindful awareness, seeking to
understand the messages of the others through summarizing and seeking validated responses.
This included the attention to physical place and positioning oneself in the room and using
positive body language. The overwhelming majority of PCN were inattentive to linear time and
were not seen to wear wrist watches nor seen to look at patient clocks.
I observed that the overwhelming majority of participants demonstrated mindful, active
listening and engagement during the patient and family interactions. The majority of participants
were observed to be aware, attentive and responsive to the suffering of the patient and or family
when evident. The observations of the advanced practice PCN doing the work of prognostication
illustrated the seeking of information and understanding of illness by the patient and family as
interpreted in the second subcategory of the exploration step that PCN undertake in the process
of DM in prognostication in Figure 4.1.
The PCN tailored the conversation on the priorities of the family. She maintained good
eye contact. She used intentional pauses to allow the family to think before they replied. She
reflected back to the family what she understood of the family response for confirmation. (Field
notes, Chiefy Observation)
The patient was quite distressed that he was close to dying. He stated that he did not want
to die, he wanted to live. The PCN reached out and touched his forearm and said, are you are
afraid? The patient started to cry. (Field notes, Sally Observation)
81
Mindfulness
Mindful (adj.) from Old English is defined as “thoughtful” (Online etymology
dictionary). The overwhelming majority of the advance practice PCN participants I observed, 8
of 9 (89%), demonstrated the ability to offer their audience their full attention in the present
moment and showed curiosity, openness, and acceptance. Mindfulness was demonstrated when
the participant was able to give their full attention to the present interaction with the patient and
family without regard to the passage of linear time.
The PCN carried nothing into the room that might create a physical barrier between her
and those present in the room (patient & daughter). On entering the room, I noted how
the daughter looked ‘stressed’, facially frowning. Her hair was disheveled and her
clothes unkempt. She was pacing in the room and appeared distressed. The PCN initiated
the conversation by identifying herself and her purpose for the visit. [Hospice
assessment] Although the patient was non-responsive, she approached the bedside and
introduced herself to the patient. The PCN had a soft-well modulated voice and calm
demeanor. She gathered chairs to sit beside the hospital bed for her and the daughter and
invited her to sit, the daughter sat beside the PCN. There was minimal distance between
the PCN and the daughter. Neither paid attention to the length of time passing. No one
looked at the clock nor were found to be checking a wrist watch. (Field notes, Patricia,
acute care)
The PCN entered the home’s foyer and immediately set down her portfolio. She carried
nothing into the home. After introducing herself to the patient’s two sons and purpose for
82
the visit [EOL assessment & symptom management requested by family] she obtained
permission to enter. The sons requested that they meet in the living room and not in the
patient’s bedroom. The PCN waited for the sons to sit before choosing her seat within
close proximity to both. She paused and waited for the sons to lead the conversation with
their questions and concerns. There was no attention noted by participants to the passage
of time. (Field notes, Chiefy, home visit)
The PCN entered the patient room and introduced herself to the patient and family and
the purpose for the visit [Family and patient support with precarious patient status]. The
patient’s sister was verbally aggressive to the PCN stating she was angry that Palliative
Care had been consulted and demanded to know what his chances were for recovery. The
PCN remained calm and suggested that everyone sit down around the patient’s bed. The
family refused and the PCN pulled up a chair at the head of the patient’s bed which
maintained a moderate distance from the family but had close proximity and good eye
contact with the patient. She asked the patient if he needed her support and consented to
her presence. Once confirmed that the patient wanted her to stay-she paused and waited
for the patient to lead the conversation. She used open-ended questions [Tell me what
concerns you most at this time?] (Field notes, Sally, acute care)
Active listening
The majority of observed advanced practice PCN participants, 8 of 9 (89%), listened
fully to the speaker, whether patient or family member and actively showed verbal and non-
83
verbal signs of attentively listening. The use of positive, affirmative body language and
vocalization was seen in the nurse-patient interactions.
The PCN demonstrated positive body language by sitting beside the daughter and
intentionally turning her upper body toward the daughter in order to directly face her.
She additionally leaned in and established eye contact. (Field notes, Patricia
Observation)
The PCN waited for the patient’s sons to choose their seating before selecting her own
within close proximity to both. She pivoted her upper body towards the speaker during
the interaction. She tilted her head and nodded during the conversation. (Field notes,
Chiefy Observation)
The PCN nodded and vocalized [uh huh] following the patient’s description of his
strategies to manage his dyspnea. She maintained good eye contact. (Field notes, Sally,
Observation)
Engagement
Engage (v.) from French is defined as to “attract and occupy the attention of” (Online
etymology dictionary). All advanced practice PCN participants, 9 of 9 (100%), demonstrated the
skill of building a positive connection and rapport with patients and families within a short
period of time. The observations showed the PCN introduced themselves, provided opportunities
for the patient and family members to talk while they listened, validated fears and concerns and
explained their role on the healthcare team.
84
There was noted pauses and silences used by the PCN to give the daughter time to think
about the information and to ask questions. She summarized the daughter’s message
[reflected back] to clarify understanding and meaning of the daughter’s inquiry. (Field
notes, Patricia Observation)
The PCN easily transitioned through the questions brought forward by the sons in
regards to their mother’s status and what to expect for her imminent end-of-life period.
She spoke in clear, concise language using pauses and silence to allow the sons to
interject additional comments. She used open-ended questions [Tell me about…] She
allowed the family to lead the conversation through their concerns and questions. She
frequently summarized the messages back to the sons to confirm her comprehension. She
summarized the discussion at the end and highlighted action items for the homecare
nurse to follow-up with and waited for the sons to acknowledge. She confirmed that there
were no other concerns or questions before terminating the visit. (Field notes, Chiefy
Observation)
Attentive to Suffering
A majority of advanced practice PCN participants, 6 of 9 (67%), demonstrated
empathetic responses, both verbally and non-verbally, to the patient and or family in response to
identified suffering. Attentive to suffering is a reflection of clinical empathy and involves an
ability to understand the patient and family’s situation, perspective and feelings as well as to be
able to communicate that understanding with clarity and to act in a therapeutic manner (Mercer
& Reynolds, 2002, p. S9).
85
The PCN demonstrated empathy and attention to suffering when the daughter cried while
discussing her mother’s noted physical decline by using a non-verbal movement and
touching of the daughter’s forearm. (Field notes, Patricia Observation)
The PCN touched the patient’s shoulder when the patient exclaimed ‘I don’t want to die,
I want to live’. (Field notes, Sally, Observation)
The PCN acknowledged the son’s shocked expression at the prognostic information
shared by leaning forward and saying “You were not expecting this, were you? This must
be hard. (Field notes, Ann, Observation)
Summary Memo: PCN Observations
In spite of the variety of locations and reasons for referral with the participant
observations, I am struck at how consistent the PCN were in their approaches to their
patient and family interactions. The overwhelming majority of participants were fully
present and attentive to the patient and or family member(s) without any noted awareness
to the passage of linear time. No PCN participant was observed to look at either a clock
or ask about the time of day. The overwhelming majority of PCN were observed to be
highly focused in the engaged interactions regardless of a highly distracting environment
[Noise and interruptions]. Only one PCN was divergent from the rest. Only one PCN did
not engage in a mindful and patient-centered nurse-patient interaction. All PCN
presented with calm tones of voice and adopted well-modulated speech. All but one
participant seemed consciously selective about where they physically positioned
themselves in the room. One participant created a physical barrier between her and the
86
patient with her portfolio and laptop. All participants selected to sit within close
proximity to the patient and family. The majority were seen to adopt effective non-verbal
body language for listening [leaning in, tilting head, nodding]. All participants [but one]
carried nothing into their patient and family interactions. The overwhelming majority (8
out of 9 observed) used silence and pauses to reflect attentive listening. Only one
participant directed the conversation with task-oriented questioning. The remaining PCN
observed used open-ended questions were which used to explore meaning and
understanding in the conversations. The majority of PCN were observed to practice
validation and acknowledged patient and family concerns through verbal and non-verbal
cues. The majority of PCN observed were seen to acknowledge suffering with empathetic
touch.
Conclusion
This chapter presented the three findings that emerged from 11 in-depth interviews and
nine observations. Extensive participant quotations and field notes were used to better represent
the real experiences of the advanced practice PCN in non-malignant prognostication and was
organized according to the three overarching categories and 14 subcategories (see Appendix J).
The primary finding of the study was the cognitive, psychological factors that impact the
decision-making of PCN in non-malignant prognostication. These factors were identified as:
death awareness of others, questioning self, fallibility, and perceptions of chronic diseases, and
describing chronic diseases metaphorically.
87
The secondary finding was the affective, psychological factors which are the motivating
factors that impact the process and decision-making of advanced practice PCN in non-malignant
prognostication. These factors were identified as wonder, intuition, anticipating dying and
preparing the patient and family, and supporting symptoms and quality of life.
The third finding was the interpreted conative process PCN use in prognostication. This
process was identified as: Knowing-Assessing-Trending-Predicting-Pronouncing.
The participant observations revealed that the majority of participants employed mindful,
active listening and engagement during the patient and family interactions. The majority of
participants were observed to be aware, attentive and responsive to the suffering of the patient
and or family. The observations reflected the second subcategory of exploration in the process of
decision-making in the process of prognostication from finding three.
The next chapter will present the analysis of these findings and the constructivist
reconstructing theorizing that sought explanation of PCN prognostication in non-malignant
illnesses.
88
Chapter Five: Temporizing Uncertainty
This chapter presents the data analysis and theorizing of this CGT. The objectives of this
study were to consider the experiences of PCN in prognosticating in non-malignant illnesses and
to elucidate understanding of the process, and factors that impact the complex decision making
for this particular group of advance practice nurses.
The principles of CGT data analysis were followed in this study. Codes were applied to
label each new idea found during the line-by-line coding. Themes that were found to be
conceptually similar were subsequently grouped together as concepts. The theoretical
framework, the product of this study, represents the central theme of the data and explicates the
theory that accounts for the experiences, processes and factors that explain the phenomena of
PCN prognostication.
The concept of theorizing in CGT was initially discussed in chapter three but will be
briefly reviewed here to allow the reader to recall the difference between theorizing and the
classical GT approach of theory generation. In classical GT, a discovered theory emerges from
the data which seeks to explain and predict and looks for generality and universality (Charmaz,
2014). In CGT, there may not be a theory which emerges. The focus is an interpretation of the
findings in order to give an abstract theoretical understanding of the studied phenomenon
(Charmaz, 2014, p. 230).
My purpose as researcher was to seek out the meanings and actions of the decision-
making of prognostication by PCN and to acknowledge the subjectivity of each individual,
including my own and offer an imaginative interpretation of what makes sense of the studied
phenomenon (Charmaz, 2014, p. 231). Thus, this CGT study did not aim to find a truth or set of
89
truths, rather it sought to find a collective meaning of prognostication within the social contexts
of PCN. The research questions that guided this study was: “What is the theory that explains the
process of prognostication for individuals with life-limiting, non-malignant illness by Palliative
Care Nurses?”
The advanced practice PCN in this study expressed that their main concern in achieving
an accurate prognosis was to prepare the patient and family for dying, to manage symptoms, and
promote quality of life. What emerged in this study were psychological categories and
subcategories that demonstrated the challenging phenomenon in obtaining an accurate estimation
of life remaining.
The research showed that the advanced practice PCN are guided in the process of
prognostication, including the decision-making elements by interrelating affective and cognitive
psychological factors, within the context of the unpredictable trajectory of chronic illnesses. In
other words, they were trying to determine the best possible prognostic decision in the context of
multiple uncertainties. To my surprise, I found an emergent core category. Throughout the data
analysis I used memos to connect the categories and their relationship with each other to
determine that ‘Temporizing Uncertainty’ captured the centrality of the phenomena.
To assess whether this theoretical code was in fact the core category I considered
Glaser’s (1978) criteria. Did it appear throughout the data? It did. Did it take longer to saturate?
It took the longest to saturate. Did it relate meaningfully to the other categories? It explained the
phenomena in context and offered an explanation of the complex process of prognostication and
decision-making that the advanced practice PCN undertake. It was general and could be applied
to other disciplines. Lastly, it emerged and was not forced. As a CGT study I did not expect nor
90
look for a core category. I took the categories and diagrammed until I could conceptualize a
theoretical model to demonstrate the prognostic process with the DM factors in order to realize
the interrelated connections (Charmaz, 2006, p. 86).
The primary findings of the study were the cognitive factors that impact the process and
DM of advanced practice PCN in non-malignant prognostication. These factors were identified
as: death awareness of others, questioning self, fallibility, and perceptions of chronic diseases,
and describing chronic diseases metaphorically. The secondary findings were the affective
factors that motivate the decision-making of PCN in non-malignant prognostication. These
factors were identified as wonder, intuition, anticipating dying and preparing the patient and
family, and supporting symptoms and quality of life.
The third findings were the conative factors, the active process PCN use in
prognostication. This process was identified as: Knowing-Assessing-Trending-Predicting-
Pronouncing. Participant observations revealed that the majority of participants employed
mindful, active listening and engagement during the patient and family interactions. The majority
of participants were observed to be aware, attentive and responsive when there was evident
suffering by the patient and or family. The observations reflected the exploration step that the
PCN undertake in the process of decision-making in the process of prognostication.
Next, I present and discuss each category, subcategory and the theoretical model. I will
then explain the connections and relationships of the concepts and connect this interpreted work
to relevant extant literature. I conclude with a summation about the emergent theory of
‘Temporizing Uncertainty’.
91
Figure 5.1
Temporizing Uncertainty
A Theoretical Model of Advanced Practice PCN process of
prognostication in Non-malignant illnesses and the factors impacting
DM.
Advanced Practice PCN Process of Prognostication: CONATIVE (Volition) Factors
(VOLITION)
92
Decision-making (DM)
Prognostication is a complex process requiring DM by an advanced practice PCN in a
patient-nurse interaction. This interaction is subject to internal and external factors. I formulated
a tri-component theoretical model of the process of prognostication and DM that visually
represented the advanced practice PCN prognostication in non-malignant illnesses (Figure 5.1).
Advanced practice PCN prognostication is an individual work with an added DM activity
in the setting of uncertain illness situations. Decision-making is the mental processing of choice
by individuals through an interplay of one’s components of the mind through their cognition,
affective and conative domains (Huitt, 1992; Huitt, 1998; Saunders & Buehner, 2013). Although
separate aspects of the mind, all three are so interconnected that they are best understood in the
relationship of one mind when contemplating complex DM (Rolo & DÍaz-cabrera, 2005). One
cannot separate the workings in the mind where one domain begins and one ends.
Cognition is an intellectual process by which knowing is gained from perceptions or
ideas (Webster’s Dictionary). Cognition is composed of knowing, understanding and thinking
(Lerner, Li, Valdesolo, & Kassam, 2015; Tyburski, 2017). Cognitive factors include one’s
intellect, perceptions, ability to judge and problem-solve, ability to access and use acquired
knowledge and see complex relationships between concepts (Brett, Smith, Price, & Huitt, 2003;
Tyburski, 2017). Cognition is the reason-based system of the mind (Rolo & DÍaz-cabrera, 2005;
Tyburski,).
The affective domain of the mind is associated with the emotional interpretation of
perceptions, information and knowledge (Brett et al., 2003). Affect is unspecified feelings that
involve emotions, mood, and emotion-related traits (Lerner et al., 2015, p. 801). Affective factors
93
include passions, values, and sentiments. It is the domain of the affect that explains an
individual’s motivation for acting in specific ways (Brett et al., 2003).
The conative domain refers to the connection of knowledge and affect to an action. It is
closely linked to the concept of volition, which is the use of one’s will or one’s freedom to make
choices about what to do (Hilgard, 1980). Conative relates to one’s ability to be self-directed and
self-regulated.
Finding One: Cognitive (Thinking) Factors
All the participants elicited similar cognitive factors that impacted their personal work
and decision-making of non-malignant prognostication. This category represents the ‘what’ or
the ‘mind’ of prognostication as an intellectual process of knowing, understanding, and thinking.
Five subcategories form this category and represent the mental processing activity undertaken by
PCN in prognostication. Participants spoke of prognostication as a task within their regular role.
All participants expressed knowing the impact prognostication had on patients and families,
underlying a unifying expression of seriousness held by the group in doing prognostic work.
Participants perceived chronic illnesses as more difficult to prognosticate versus those
with a cancer diagnoses. The majority of PCN consistently shared doubt about prognostic DM
when dealing with a chronic illness and in being aware of past errors in providing an incorrect
prognosis. Personal experiences of working with chronic diseases were highlighted by
participants’ description as being highly ambiguous in nature through a visual description using
metaphoric language.
Death Awareness of Others. Participants were keenly tuned into how impactful dying is
on patients and families. Most PCN tied prognostication to individuals being able to complete
94
life tasks with families. PCN determined prognostication assists with determining location and
type of care needed for a patient.
Questioning Self. Participants frequently questioned their decision-making following the
decision as to whether it was correct. Lacking confidence about previous decisions was prevalent
among participants regardless of their years of experience.
Fallibility. Most participants related how they were aware of previous non-malignant
prognostic events were incorrect. These experiences were framed in a negative light as a failure
and was expressed by having worry that they carried into their future prognostic work.
Perceptions of Chronic Diseases. Many participants believed that prognosticating in
chronic diseases was harder than with malignant illnesses. A few believed it created nervousness
in the future work of prognosticating due to the increased uncertainty and unpredictability. One
participant imposed a stricter process by which she determined whether a patient should go to
hospice by waiting for a lower performance status than what was required to waitlist for hospice
placement.
Describing Chronic Diseases Metaphorically. Some participants described chronic
diseases visually in abstract, metaphoric language. The expression of metaphoric language
undergirded the perception of participants that chronic diseases were unpredictable and elusive.
One participant expressed metaphorically how this work held potentially negative consequences
for the clinician.
Significance of Finding One
Providing care to individuals and their families at end-of-life can be challenging to the
palliative care professional. A prevalent reason health care providers enter into their profession is
95
to help others. Helping others for some aligns with the goals of restoration and cure from disease.
Death and dying are difficult to talk about, with our own families and certainly for those we care
for.
Sally: I see the doctor just wants to save. That is what they have been taught. Some
believe death is a failure.
Patricia: There were people [Health care providers] not even identifying the stress of
when they needed to intervene or when to ask for help. People not even having the
landmarks of even to know where to go from here and that they should be doing
something.
Advanced practice PCN often have to start a patient-nurse interaction with an explanation
about what palliative care is, experientially in an apologetic and defensive way. We are often the
unwelcome guest in a patient interaction with whom neither requested nor wishes to interact with
us. Although the advanced practice PCN practice is broad it follows core foundational concepts
with a focus on quality of life and symptom management. We cannot remove our primary
identity, which is inextricably linked with death and dying. Dying is the raison d’etre for our
professional existence and our daily work. Accordingly, we continually walk into clinical
situations where patients or other health care providers express anger and fear when death seems
inevitable. This could be a plausible explanation in this study why advanced practice PCN are
aware how momentous death is, as they have experienced the interactions by which to draw from
and have witnessed the consequences of previous DM.
Sally: I think that death can actually be a good thing and everybody is going to die.
96
Karen: You want to tread lightly because you want to build the trust…if you go in and
talk to them ‘you’re going to die’ that’s going to scare them.
Patricia: There was a lot of fear around death.
Ann: The team saying we are not talking about hospice we are not talking about those
things- well then we are treating the team we are not treating the patient and the fact is
that this patient may have a very limited timeframe. So, do we take away those
opportunities for people to have closure, get home, get to hospice, get the care that’s
most appropriate?
Health care professionals could argue that working and understanding chronic illnesses is
a specialty area, similar to palliative care. Palliative care nurses all come to their advance
practice role with individualized experience and education. The majority of the studied clinicians
have predominantly oncology clinical background. Prognosticating in non-malignant illnesses
has been learned ‘on the job’ with disease trajectories lesser known to the advanced practice
PCN. This could explain why they perceived non-malignant illnesses as being more difficult to
prognosticate than with cancer diagnoses. However, I think that is too simplistic of a reason. I
believe it to be multifactorial in nature.
Chiefy: When I go to see those patients as opposed to cancer patients, I feel a little more
edgy because I know I am walking into a lot more unknowns that if I were walking into
someone with pancreatic cancer…that’s predictable to me. [On a patient discharged
from hospice] She was dismissed from hospice into long-term care where she resumed
her needlepoint and other things and she died in long term care about 18 months after I
97
sent her to hospice- at deaths door and to me I mean it illustrates how many unknowns
there are in the work with that we do.
Non-malignant illnesses are unpredictable because individuals do not follow the same
pattern even when they have the same degree of disease severity and disability. Furthermore,
although the term end-stage disease is used, there can be tremendous variation between
individuals in the same clinical population. Individuals adapt to chronic conditions over time and
no two individuals are the same in clinical presentations. Advanced practice PCN experience this
fluctuation between individuals and this seems more reasonable explanation to their perceptions
of difficulty along with their knowledge of chronic disease trajectories.
Thelma: the human body is complex and amazingly fluid and compensates. It is so
incredible, and I think if people have been ill for a long period of time and have adapted
gradually to something, it is amazing what they can live with.
Ann: I think that we treat people differently with the cancer trajectory than with a non-
cancer trajectory. I think it’s, I think we have a little bit more difficulty getting to the
point of recognizing that they could be end-of-life.
Bacall: I find it sometimes actually hard to apply to each patient because each patient
experience is going to be so different, right? You know that heart failure is not the same
in every single patient. Patients are much more able to manage and compensate than
others for a variety of reasons.
Ann: We have had two people who have had the prognosis that was not imminent that I
have made here but they were also both extremely compromised and had no quality of
98
life and both were suffering tremendously. So, even that prognosis component can be
interpreted I guess.
It may be that the lack of education and less experience with chronic illnesses that
induces advanced practice PCN to question themselves following their prognostic decision.
However, this does not explain why they questioned themselves regardless of how many years of
experience they had. One would surmise that increased experience would decrease the
questioning of self in decision-making but this is not what emerged in this study. The reverse
seemed to be true, the most experienced of the participants expressed questioning of self and
articulated the perception of potential negative consequences when the decision was inaccurate.
Ann: It’s troubling because you expect to worry. Do I see everything through the lens of
people dying?
One added reason could be tied to the subcategory of fallible. Advanced practice PCN
expressed awareness of previously inaccurate prognostic decisions as being negative in nature,
and thus if they have a history of having witnessed negative outcomes they would be careful
each instance in addressing this work in future. A process of self-reflection would be appropriate
and is an expected part of nursing practice. As they have this self-awareness of fallibility and
care about the awareness of death impact on the patient, these factors perhaps explain why the
participants used metaphoric language to describe chronic diseases. Metaphor is used as a
mechanism in language which represent the elusiveness and unknowability of this trajectory
(Citron & Goldberg, 2014). This may be an unconscious strategy to elicit emotions that buffer
bad news and protect the patient whom the advanced practice PCN clinician was aware were
99
vulnerable or as a way to influence how the patient interpreted the prognostic information
(Citron & Goldberg, 2014; Landau, Meier, & Keefer, 2010).
Ann: I think there is a fear of us being wrong and feeling like, because I know and have
colleagues say well I’ve made a mistake and so the next time I am really worried.
Bacall: I keep in mind we are not perfect and I make that very clear to patients and
families. Prognostication is something we get wrong 100% of the time.
Finding Two: Affective (Emotion) Factors
The majority of participants shared similar affective factors within the work of
prognostication. This category represents the ‘why’ or ‘heart’ of prognostication as the
connection of knowledge and motivation with action. Four subcategories form this category and
represent the motivating and feeling processing by advanced practice PCN in prognostication.
An overwhelming majority of the participants have experienced surprise at the unexpected
survival or demise of a patient with a chronic illness. Participants expressed uncertainty on
reflection as to why the individual in mind had unexpectedly survived or death.
A majority of participants expressed having feelings of assuredness of impending demise
of a patient that were described as fast and instinctual. This intuition was applied in the context
of a patient within an immediate timeframe versus one with many weeks or many months to live.
The majority of the participants tied the importance of prognostication with their professional
values of preparing the patient and families for death and to promote life review, legacy work,
and decisions around EOL location as well as Supporting Symptoms distressing to the patient.
Anticipating dying and preparing the patient and family. All the participants
expressed valuing the ability to anticipate dying was beneficial in order to prepare the patient and
100
family for death. The core values of Palliative Care demonstrated that the task of prognostication
fulfilled foundational practice norms.
Supporting Symptoms and quality of life. PCN considered prognostication as one
function of their role. PCN work included supporting symptoms and promoting quality of life
alongside the work of prognostication. This additionally demonstrated a fulfilling of foundational
palliative care practice norms.
Wonder. The majority of PCN described having been surprised at the survival or demise
of a patient. These experiences shaped clinician perceptions about prognosticating in the future
with non-malignant illnesses.
Intuition. PCN expressed surety of knowing a patient was imminently dying that was
inexplicable, but attributed to intuition. Intuition was described as being a quick and assured
decision in the context of a shortened timeline and did not apply to patients with many weeks or
months left to live.
Significance of Finding Two
Prognostication in non-malignant illnesses is emotional work. Emotional work in the
psychological sense of the underlying meaning and motivation of one’s work. Meaning and
motivation in one’s work is individualist in nature yet the majority of the participants articulated
similar factors in the work of prognostication that suggest a common tie to professional identity.
Advanced practice PCN articulated that they valued the task of prognostication for its
connection to other valued parts in the PCN role. Similar to the findings of Pontin and Jordon
(2013), the valued tasks which are tied to prognostication are promoting life review, legacy
work, end-of-life decision-making (location of death), and promoting comfort (symptom
101
management). Thus, the participants valued the task of prognostication as a means to fulfill the
role of advocacy for the patient and because patients and families valued knowing a timeframe
(Martin & Koesel, 2010).
Patricia: It’s not what we anticipate I would say, it’s still a possibility you know, and that
way families they often need to make decisions based on how we prognosticate you know.
Thelma: The need to prognosticate can come about more than one way. You could be
asked that by family or by staff and it may impact where care is better provided.
The advanced practice PCN used the work of prognostication to move to do the other
work that framed their valuing of palliative care norms of practice. By being aware of this factor,
advanced practice PCN moved from a role of communicating the prognosis to being a
patient/family educator, advocate and supporter (Martin & Koesel, 2010; Newman, 2016). For
instance, if the timeline was framed as “I believe you have a few months left to live, I can help
you understand how your symptoms may change and what we can do to alleviate them”. This fits
with Reinke et al., (2016) findings that nurses support hope through a trusting relationship with a
focus on quality of life.
Karen: So the first day you walk in, you know where they are at in their trajectory. I think
a palliative nurse is always thinking that- when they meet a patient, because it also
guides how you’re going to speak to them and what you’re going to talk about. I feel like
a big part of palliative nursing is rapport building so if you try to put them somewhere
that they are not at-you can have someone that is good or at late stage-you go in and you
talk to them like they are dying (pause) sooner that they are ready to hear-you will just
102
sacrifice the relationship and then you won’t be able to be there for them when they
really need you.
Ann: We need to help people understand what choices they do have. My job is to focus
on helping them feel as well as they can while things are happening. I will sometimes
take those opportunities to potentially talk to the family to see where they are at and to
ensure that they are getting the support they need in the midst of honest information not
brutal information but honest information to prepare them that this person may not live
as long as they are hoping or expecting.
What is not known is the impact on an advanced practice PCN when they cannot fulfill
the valued work in practice. High uncertainty in prognosticating in chronic illnesses in this study
was articulated by the participant’s incredulity over an unexpected demise or survival. Thus,
their legacy work and life review with patients and the promotion of quality of life goals may not
have been fully addressed or fulfilled in the ways that are meaningful for all parties.
Thelma: I am not sure what a reasonable degree of accuracy is. People have such a wide
spectrum for each situation as to what would be expected and to figure it out.
Patricia: I think it can be really hard on family when they think somebody is at a
particular place in their disease and that’s not how it necessarily gets looked at.
The unpredictable nature of this work may additionally taint the DM approach in the
future as the advanced practice PCN are unable to fully comprehend and apply concrete
learnings from one prognostic encounter to the next. Accordingly what is absorbed into their
knowledge is the affirmation that a non-malignant illness has an uncertain trajectory. This is
reflected in the high level of self-questioning in spite of many years of experience with this
103
work. The study revealed that advanced practice PCN clinicians never fully feel adequate in
anticipating death within a certain timeframe. This aligns with the findings of Clarke, et al.
(2009) that found that all clinicians were inconsistent and inaccurate in prognostic predictions
tending to underestimate survival.
Thelma: You wonder if there was something I did not see? Or is this just unpredictable?
There might be things lurking there that we could find that we have not thought of, or we
don’t put the formula together in the right way. Maybe we give too much credence to
something that is not really a factor and not enough to something else.
Patricia: We were managing her symptoms and then the following week [She] started to
wake up, started to get better, and to the point where we really were thinking, ok she
survived yet again.
How might an advanced practice PCN clinician feel adequate? By promoting quality of
life and legacy work in the face of their patient’s uncertain life expectancy. The exception to this
is when a patient is so imminently at end of life that the advanced practice PCN has intuitively
recognized the immediate need to prepare for impending death.
Theresa: I might have to have a conversation with the family but right away within five
minutes of being there I knew that it was clear that she was a hospice patient.
Chiefy: We had her family all prepared with the end-of-life pamphlet because there was
no question to me.
Contrary to the advanced practice PCN in this study, Christakis, in Death Foretold, found
that physicians neither acknowledge uncertainty nor fallibility in prognostication (p. 61). He
suggested that this is because rather than attribute a connection of inaccurate prognosis to their
104
own lack of knowledge they attribute it to the disease process instead (p. 61). One explanation
for this difference could lie in the scope of the role and the expectations patients have on
physicians versus nurses, as well as professionally how they are educated differently.
I posit that nurses are very likely educated to be more inclusive and collaborative in
decision-making with patients than their physician counterparts and often the medical
interpreters for the patient and families (Adams et al., 2011). Additionally, nurses in their
subordinate role to the physician holds less power in clinical decision-making and thus the PCN
had no difficulty expressing how the task of prognostication caused them to doubt themselves
and to be uncertain.
Can this work then be taught? One participant articulated that education on
prognosticating within chronic illnesses would be key in the future as she felt it had been helpful
to be educated in cancer diagnoses.
Karen: There is not enough education about chronic diseases. We tend to get a lot of
education about cancer and pain management but I think we need more in-services about
cardiac illnesses and ALS and COPD. When those patients come to us we have less
knowledge.
One participant believed PCN need to adhere to the available validated tools and apply DM in a
rigorous way.
Chiefy: I have to think this through, I can’t just sort of take a sideways plan and say
they’re dying. So, I think part of the problem with prognosticating is just the lack of
skepticism about your assumptions and thinking just a little more rigorously and using
the tools that are available.
105
There was no literature to suggest that prognostication is better amongst our palliative
physician counterparts (Clarke et al., 2009; Twomey et al., 2008). As stated previously, this
group of participants came from different clinical backgrounds with mostly oncology experience.
The work of prognostication on our team has occurred through job orientation and mentoring
with other palliative care clinicians both physician and nursing. In learning non-malignant
prognostication I suggest that the uncertainty and questioning of these participants may be due to
the lack of standard rigor in addressing prognostication in clinical practice. It could be due to a
lack of time or discomfort from other clinicians in teaching the concepts. It also could be that the
uncertainty of chronic illnesses and prognostic inaccuracy is an accepted reality in palliative care
culture and thus an ongoing expectation among clinicians (Kalowes, 2015; Pontin & Joran,
2013).
Kim (2011) suggested that nurses, by virtue of spending more time with patients have
more involvement with end-of-life DM with patients and families (p. 98). The DM of PCN with
patients with a non-malignant illness is different than what Kim (2011) alluded to, as
prognostication is not a usual or traditional EOL decision-making task for nurses. Advanced
practice nurses, such as the PCN in the study, are involved in this EOL task, but perform it
within a consultant role. The PCN are not at the bedside in an intimate 24 hour relationship nor
necessarily have a long-term relationship with patients, as perhaps with a unit nurse or a
homecare nurse. The PCN in this study may reasonably only interact with a patient once.
The APN role is tied to role outcomes which are to positively impact the care for
individuals. Key outcomes of the CNS-APN role outlined by the International Council of
Nursing include: 1) improved access to supportive care through case management to assess and
106
manage risks and complications, plan and coordinate care, monitor and evaluate, and to advocate
for health and social services that best meet patient/client needs; 2) improved quality of life,
increased survival rates, lower complication rates, and improved physical, functional, and
psychological well-being of patients with acute or chronic conditions; 3) improved health
promotion practices such as immunization rates, weight management, and participation in cancer
screening; 4) improved recruitment and retention by mentoring, educating, and supporting nurses
at the front-line of care; and 5) reduced hospital admissions and visits to the emergency
department, shortened hospital lengths of stay and decreased use of unnecessary diagnostic tests,
through improved case management of patients with high risk and complex conditions (Martin-
Misener et al., 2010).
Contrary to these outcomes, PCN in APN roles are by virtue of the nature of their work,
misaligned with influencing survival rates nor can they reduce hospital admissions. While PCN
are strongly interested in the patient’s quality of life and preparing the patient and family for
death they would be less aware of any need to influence the patient’s length of stay in hospital.
Does this suggest that the PCN has conflicting identities? There might exist an
unconscious tension in what is valued from our palliative care framework versus our professional
APN framework. The element of expressed empathy of PCN may prove to be of greater
importance to PCN in clinical practice. Within the context of PCN prognostication the DM is
increasingly complex with psychosocial issues and systems pressures.
Karen: We always to some degree have to push back against the machine [Health
Region]. It is a machine, a bureaucracy. They put people in these categories and you
know people do not fit in categories as much as we might want them to.
107
I would suggest, based on the study findings, that even when hospitals are in overcapacity
the primary focus of the PCN is to prognosticate as accurately as possible because of the
awareness of the potentially negative impact on a patient who is transferred to hospice who out
lives the criteria for hospice stay (Kalowes, 2015). PCN are aware that a move out of hospice to
long-term-care (LTC) is stressful on patient and families and attempt to avoid such an outcome.
Clinicians understand the impact multiple transfers and transitions have on patients.
Additionally, PCN are aware that extending a hospice stay beyond the three month criteria can
create waiting lists for future patients.
Louise: When we move somebody from hospice back to LTC then they die really fast.
Either way we can impact their life expectancy, probably by moving people. But
sometimes it works the other way so I don’t know. It is a pretty hard thing to do. It is
quite hard to do, prognosticate with non-cancer and the senior.
That being said, it would illustrate naïveté to believe that a heavy clinical workload has
no effect on decision-making. Is there potential to bypass rigorous decision-making and just take
a chance to move an individual to hospice? Yes, I think if the patient has increased suffering,
limited supports and heavy care needs, then hospice would be seriously considered, even if the
prognosis was uncertain. It would be remiss to think that the collateral information from other
healthcare providers does not impact the decision-making as well, even if it is contrary to the
clinician’s experience and initial conclusions.
Thelma: The internist said to me that there was no way she could live another three
months…and there were extenuating social circumstances. In that she had an elderly
husband who was living east of the city and was driving in from this rural area. Hospice
108
was looking for patients and it was November, going into winter and we were worried
about this old man driving. We moved her into one of the hospice beds. She was there for
over two years. She was moved from there to supportive living. As far as I know, she is
still alive.
It is my own belief that although we operate as solo practitioners in this work we can be
persuaded by our collegial relationships and may consciously change a prognostic decision based
on a respected colleague’s conclusions. In times of severe system pressures, when hospital
capacity is high our consults subsequently increase. The referrals are submitted likely in the hope
by the attending teams that patients be moved to hospice, even if the patient is waitlisted for
LTC. It is widely known that the process to move a patient to hospice in the system is faster than
placement in supportive living or long-term care environments.
Bacall: At the end of the day with a bunch of other people who do the same job that I do
and we have many sort of informal discussions amongst ourselves at the end of the day.
You know, I saw this patient and you know this is sort of what happened this
morning…there is this patient…we sort of get everyone else’s opinions on it. What are we
thinking, you know, prognostically? You can put in your two cents.
Finding Three: Conative (Acting) Factors
The PCN articulated the core concepts that I framed as the conative, active process of
PCN prognostication. This category demonstrates the ‘how’ or ‘process’ of prognostication as
the identified undertaken actions followed by PCN. The visual representation of this process was
presented in Figure 4.1, as the leftward, step-wise process with these subcategories: Knowing-
109
Assessing-Trending-Predicting-Pronouncing. Each identified concept is subject to a temporal
state.
Knowing. PCN use their knowledge, previous experience, education, and history of
diseases and trajectories as part of their decision-making in prognostication. The combination of
these factors make up the subcategory of knowing. Knowing is temporally built on past
knowledge and experiences but is further enhanced in the future with each prognostic encounter.
Louise: When the question is asked whether she can go to hospice, it becomes difficult to
prognosticate with someone who does not have a disease process killing her.
Thelma: the human body is complex and amazingly fluid and compensates. It is so
incredible, and I think if people have been ill for a long period of time and have adapted
gradually to something, it is amazing what they can live with.
Karen: a lot of it is instinct, as my experience has gone on…I think there is a certain
instinct to knowing these things and when transitions are happening.
Exploring. The actions the PCN employ to uncover and grasp how the patient and family
comprehend and view the illness status. All but one PCN were observed to use attentiveness and
active listening in their work of prognostication. The advanced practice PCN considers the
collection of collateral information of others as important in this phase. Exploring occurs in the
present time as the clinician considers and attends to the knowledge of others in regards to the
illness status.
Thelma: I usually ask people what they understand about what is happening to them. I
usually ask them what they are hoping for. This gives me insight into where they see
themselves. This man yesterday when I asked him what he was hoping for he said he
110
knew that he was nearing the end but I hope I’m not going to be short of breath. So that
was an indicator to me that he saw himself at the end of life without me actually asking
him that question.
Assessing. The actions of collecting information reflecting a combination of biological
measurements along with the patient’s behaviours by the PCN. As with exploring, assessing
occurs in the present time.
Biological Measures. PCN regarded specific biological measurements as key
components in considering an individual’s prognosis. The following factors were included in the
category of biological measures: physiological age, weight, blood testing such as CBC, and
electrolytes, albumin, creatinine, urea, liver panel, and output from bladder and bowel. Artificial
hydration and nutrition were considered to be a part of the biological measures.
Ann: I am a big proponent of albumin and watching for trends. I’m looking for changes
in weight. I am looking at hemoglobin trending downward.
Stacey: Albumin is a global marker, it speaks to a lot when people get to the state when
their albumin is at 18 or lower. Other marker is eGFR [Kidney Function].
Theresa: I always look at hemoglobin to give me a sense of…a lot of people have anemia.
Sally: It’s big if someone’s anuric, that’s not good for prognosis.
Personal behaviours. PCN regarded personal behaviours of the individual in concert
with the biological measures as pivotal in the work process of prognostication. These behaviours
included the individual’s desire to eat, quantity of intake, ability to swallow, and time spent
awake/asleep, mentation, level of consciousness, symptoms, and engagement in socializing and
one’s ability to perform activities of daily living.
111
Trudy: I look at mostly intake, mobility of part of the person’s functionality. Are they
becoming more withdrawn? Interest in food…interest in participating in other things?
Louise: When people are still eating and drinking they are probably not dying quickly.
It is more their functional level, their ability to care for themselves. If they have a really
poor functional level they are probably more, you know, have a shorter prognosis length
than three months.
Chiefy: Mentation is another piece that usually if there is some kind of delirium or a little
bit of confusion that is new and noticeable by the family that can’t be attributed to a new
medication then I’m wondering what’s going on underneath?
Theresa: I would look at their appetite, so how much are they eating and drinking? Do
they want to eat and drink? I would look at their functional status. How much are they
moving and getting out of bed?
Ann: Attitude really impacts the quality of your life. He kept socially engaged…it was
when I started to see him getting less and less engaged…well.
Karen: I think level of functioning, you know, their mobility and their oral intake.
Thelma: If someone is not eating because they are not hungry and they are sleeping 90%
of the day and falling asleep during conversations. To me that is a pretty strong indicator
that they may be at end-of-life.
Patricia: So intake is one of the biggest…where they almost have to be completely
bedridden and total care and really only taking sips or a few mouthfuls.
Patricia: I feel less comfortable predicting prognosis in non-cancer populations unless
somebody has a terminal delirium, or aspiration or dysphagia.
112
Trending. Trending is the action of the PCN obtaining either a retrospective or
prospective view of the performance status of a patient, over a given timeline. Trending in the
past may include the number of hospitalizations and emergency visits the patient has had over a
certain time frame. Trending forward may include intake and output and functional status over
many days.
PCN seek to establish an identifiable pattern of either clinical status stability or decline
by comparing current clinical status to the information gleaned from trending. The primary
clinical tool used to assess performance status is the PPSv2. Trending ahead is the work
undertaken when a prognostic decision cannot be made and the decision is deferred to a future
time. This strategy delays prediction and pronouncement by choosing a future time with which to
reassess the performance status with or without added parameters as decided by the clinician.
Once this timeline is completed the PCN or colleague reassess the individual and moves into the
prediction and pronouncing process of prognostication.
Ann: I am looking for that stabilizing. If it feels like they’ve been stable for probably
around a week to ten days then I might say I think this may be the pattern.
Thelma: So in terms of function. It is not so much what people can’t do, because LTC is
full of people who cannot do things for themselves and peters on for two to three years
total care. It is the why they cannot do it and what the pattern and trajectory of that.
Theresa: I would look at how many admissions they’ve had in the last little while, you
know the trending. The more frequent admissions we see the more likely the shorter
prognosis they have.
Patricia: I would look at the last year and kind of what’s happened within that year. You
113
know typically we use the palliative performance scale to guide us, you know, and I think
it fits well for the cancer trajectory when we look at 40% or less [for hospice] I would
say using a guide of 20% or less for non-cancerous diagnoses.
Chiefy: I am a big believer in patterns so when this probably won’t surprise you, you do
this, but it is the rate of decline. How long have they been stable? When did they begin to
decline and how dramatic? I am intentional about asking specifically, tell me what you
could do last week that you can’t do this week?
Ann: I look at functionality, quality of life, interactions, ability to get things done. It
depends on where they are at in their disease trajectory. Is this a sudden change? That is
different than someone who is rumbling along and declining.
Stacey: It is becoming a little bit more of an art than a science…have things been getting
worse, has it happened quickly or has it been kind of a more protracted steady flow of
decline? The rapidity of decline is something that gives me a bit of a hint as well as the
response or not to therapy.
Bacall: If we can sort of follow the patient over the course of a week to two weeks to see
if there is decline. Right, you know, is she looking different this Monday when I see her
next Monday? Tracking trends.
Patricia: We’ll watch over the weekend…we would just put things on hold, so we agree
to monitor his intake because I felt that was likely going to have the biggest impact on his
prognosis.
Ann: You follow someone over time, you really use observation. I do a lot of digging to
watch the patterns.
114
Bacall: PPS is helpful if looking at changes over time.
Theresa: I will ask the nursing staff to document…how much did they sleep during their
shift, how much did they eat and how much were they mobilizing because I feel if I can
get a good sense of what that’s like for three or four days I think it helps to determine
prognosis.
Trudy: I just grab a chunk of time, six months...three months and look at now as to how it
compares to get a sense.
Predicting. The PCN conceptualizes and predicts the potential prognosis based on
intuition and experience and anticipates the expected decline based on known history of disease
and the patient’s care context. Predicting is both art and science in that the clinician uses
intuition and past experiences along with the previous step-wise factors to conceptualize into the
future what the anticipated decline and location of care will be for an individual.
Theresa: It was just going to be a matter of time.
Louise: That lady did declare herself after a couple of weeks.
Thelma: Somebody that was managing with help and a scooter two weeks ago and now
cannot do anything and we can’t change, we can’t stop the downward trajectory.
Louise: When a person is actively dying it is usually pretty obvious.
Patricia: I think in order to do justice to him we want to find the right place for him and
meet his needs. Right now I’m not confident that it is a hospice.
Stacey: I think there is something to be said for intuition and experience…It sure would
be nice to have one sound scientific method for some of the stuff but in truth I don’t know
115
if we will ever, we might be able to get a bit better in terms of narrowing things down
more than we have now. I don’t think we will ever be that great because I think people
leave this world like they come into this world. I think there is parts of this that we’ll
never know. So how is that for ambiguity?
Pronouncing. The decision determined, the PCN shares their prognostic timeline with
patients, families and the health care team. Pronouncing occurs in the present time but is offered
in ranges of time.
Louise: There is no point in beating around the bush. There is no point in leaving things
misunderstood. I am probably clear. This is what looks like is happening, to me.
I will ask them what is it they need to know. Or what are they needing to plan for- if the
time was short?
Ann: I’m softer with them. In my head I’m going…well I don’t think this has got longer
than a week or two and I’m fairly honest but I’ll really soften it.
Bacall: Most clinicians are a little bit more callous. You know? You try to be gentle but
yet truthful.
Stacey: I don’t know for sure how much time you might have. I don’t think we are looking
at many, many months.
Thelma: He is clearly dying…I would say we’re in the final days. The closer you get to
the end, I think the easier it is to be precise than at three months, six months, twelve
months.
Patricia: It could just be hours, or days.
116
Stacey: If you estimate someone is going to pass away within a certain time and they
outlive that prognosis you know they are not always happy about that.
Significance of Finding Three
Participants expressed the ‘how’ or process of prognostication as though moving through
a mental checklist by which they followed. The process emerged clearly and was easily
recognized in the first round of line-by-line coding by the researcher. The clarity of this process
is most likely explained by the PCN being mentored by physician and nurse clinicians when
orienting to their role. It would stand to reason that when learning this work, a standard way or
practice norm of doing the work would be taught and shared accordingly. The process is linear
and step-wise, moving through known tasks, observing and gathering information to be able to
garner a prediction and pronouncement.
There were noted nuances between clinicians over the importance of specific factors over
others. For example, some PCN regard specific biological measures as more important to
consider than others who may look at a patient’s oral intake and the presence or absence of the
symptoms. There was no clear standard of the weighting of these factors in prognostication
among PCN and can best be attributed to individual experience and preferences toward specific
types of chronic illnesses. For example, a focus on lab work for renal function in a patient with
kidney disease.
Additional key concepts that emerged were expected. They reflected the required
information to obtain the PPSv2 clinician score, the score required by clinicians to apply for
hospice placement. The score is based on the rating of the person’s ability to ambulate, their
117
activity and evidence of disease, self-care, and intake and level of consciousness (Downing,
2006, pp. 120-121).
Clinicians spoke of added prognostic tools they sometimes use in a supplementary way
with the PPSv2 and include the ECOG (Eastern Cooperative Oncology Group) and PPI
(Palliative Performance Index). While the prevalent clinical tool used within our practice team is
the PPSv2 (Palliative Performance Scale, version 2) there are a wide variety of added tools that
individual clinicians may prefer and way during the process of assessing and trending.
Using additional performance status tools and disease-specific tools reinforces the
uncertainty of clinicians in prognosticating in chronic diseases and the desire by those clinicians
to obtain sufficient clinical evidence to conceptualize and predict an accurate prognosis.
Participant Observations
There was no similarity with order of tasks or questioning between clinicians nor use of
the same language or rote scripting of questions. What was strikingly similar amongst most PCN
was the non-verbal attention to location and position of self to the patient and family and the use
of positive eye contact and calm demeanor. The overwhelming majority of participants
disregarded the passage of time. I believe these attributes provided a strong early connection in
establishing PCN to patient and family rapport.
Observation of the majority of participants demonstrated mindful, active listening and
engagement during the patient and family interactions. Only one participant was observed to
distinctly lack a skilled and mindful nurse-patient interaction. The observations of the PCN doing
the work of prognostication reflected the second step of the DM process of prognostication
labelled exploring in the Conative (Volition) Factors of the theoretical model.
118
Observation of Presence
The overwhelming majority of PCN were observed to use skilled interpersonal
communication to establish and build rapport with patients and families for specific outcomes.
These outcomes included ascertaining patient values and wishes around treatment, interventions
and the understanding of the illness by the patient and family. This created the opportunity for
providing support to the individual and family in preparing for dying and making key end-of-life
decisions, including location of death. The majority of PCN were observed at obtaining clinical
markers which aids in the formulation and conceptualization of prognostication such as the
functional abilities of the individual in the present time to compare with their past functionality.
Karen: I think a palliative nurse is always thinking where they are at when they meet a
patient because it also guides how you’re going to speak to them and what you’re going
to talk about.
Sally: I help family members cope with things that are going on, making end-of-life
decisions. Thinking about the future with their symptoms and illness. Helping them see if
they meet the criteria to go to hospice.
Ann: A lot of it is feeling your way through conversations and by saying to people- what
do you understand is happening with you now?
The Central Phenomena: Temporizing Uncertainty
This research showed how the interrelating affective and cognitive psychological factors
impact prognostic DM within the context of highly unpredictable illnesses. As previously shared
in Figure 4.1, the DM process of prognostication at first appeared to be a basic step-by-step left
to right linear process, highlighting key concepts related to the how PCN prognosticate.
119
Following the second, first-line coding activity, I was intrigued by the level of
uncertainty expressed by PCN in this work, in spite of many years of experience. It was
memoing on participant Ann that made me realize that the process had additional characteristics
not previously elucidated. Particularly, Ann said “I don’t like making rapid decisions” and “I am
happy to keep someone on if it takes two or three weeks to see how they are going to do”. These
comments triggered the thought that the conative process in the model had additional DM steps.
On a review of the remaining participant transcripts, I discovered that there was a
consistent articulation of the concept held by Ann, which I interpreted as a bifurcation in the
known prognostic process at the point of trending. In the initial model of the process of
prognostication by PCN, I visually represented the DM moving from trending which was
comparing the status of the patient in the present tense with how they performed in the near past
to a prediction and pronouncement. However, it became evident on analysis that there were two
distinct types of trending. Trending back in the initial process and a trending forward which
demonstrates a stalemate decision in present time. DM was therefore deferred until a future point
in time. ‘Temporizing Uncertainty’ captured the centrality of this phenomena.
Temporizing Uncertainty is based on two distinct thoughts. First, the word temporize (v.)
is from Latin meaning “to delay time” (Online Etymology Dictionary). Next, the word Uncertain
(adj.) means “to lack confidence” (Online Etymology Dictionary). These words combined create
the thought that is the central phenomena. PCN hold off on prediction and pronouncement of the
prognostic process by delaying the timeframe of DM to a future time and is evidence of a lacking
of confidence in the present time DM.
120
DM is a rational, sequential process that includes identifying a problem, evaluating
possible choices and choosing one of those choices (Cerit & Dinς, 2012, p. 201). Temporizing
Uncertainty represents the DM process when it is unable to be completed, and a choice cannot be
determined by the clinician, due to an inability to make that choice based on a variety of
interrelated factors.
Adams, et al. (2011) reported that one of most difficult things to manage with patients
and families at end-of-life, is prognostic uncertainty (p. 1). They suggested that physicians and
nurses worry if they make a wrong decision it will steal the hopes of the patient and family as
well as infer that the medical team is giving up (p. 1). This creates an environment of emotional
stress for both the patient, family, and health care team (p. 1).
Temporizing Uncertainty, therefore, could be a strategy by which PCN default DM in the
present moment in order to maintain hope and control an emotionally stressful encounter. It is
reasonable to consider that the PCN, who is just starting to build a trusting rapport with the
patient and family wishes to temper the time so that the negative connotations of death and dying
are meted so as not to infer giving up on the patient. This notion is supported by Norton and
Bowers (2001) who reported that health providers consider building rapport and establishing
trust as fundamental to helping patients move from a perspective of curative care to one of
palliative care (p. 263). In order to be the advocates of care, fulfill the nursing role of
communicating prognosis, supports hope, and quality of life the PCN takes care in the building
of trust and rapport (Adams et al., 2011; Kalowes, 2015; Newman, 2016; Reinke et al., 2016).
More compelling than the notion that DM is deferred to a future time by PCN due to their
awareness of the importance in building rapport and trust is the how one’s personal fears about
121
death and dying likely affect one’s prognostic DM. Death anxiety is any negative feeling about
death and dying and is recognized as universal phobia (Pashak et al., 2017; Peters et al., 2013, p.
14).
If we have an unconscious angst provoked by the patient, it is little wonder that we are
less well primed to see and assess what their needs are. Death-related anxiety is an
important part of our psyche milieu. We are also uniquely unprepared as a society to cope
with death. This is why the needs go unmet, and the suffering is unnecessary. (Balfour
Mount in Lowry, 1997, p. 302)
Hare and Pratt (1989) reviewed research completed by Thompson in 1985 about nurses’
attitudes towards death and dying in acute care and found that PCN had higher death anxiety
than nurses who worked in curative settings (p. 350). Hare and Pratt (1989) suggested that it may
be more likely that the tool used to measure anxiety was actually lacking sensitivity and was
potentially measuring that PCN were more adept at being open in discussing death and dying (p.
350).
Though an older study, it is thought-provoking to consider for PCN practice, the potential
interrelationship between ongoing, multiple exposure to death and dying events and one’s own
death anxiety. One might even hypothesize that PCN by being exposed to multiple exchanges
with dying patients heighten their own unconscious awareness of mortality and subsequently
increase their death anxiety.
Research literature on death anxiety is primarily focused on the patient experience
however there has been some research that considers the health provider perspective. Death
122
anxiety has been shown to impact clinician practices in various ways. Ciałkowska and
Dzierżanowski (2013) found that medical trainees had a diminished inclination to communicate
bad news with patients when they themselves had a greater fear of their own death (p. 131).
Deffner and Bell (2005) found that nurses’ death anxiety negatively impacted their
comfort in communicating about death and dying with patients and families. Nurses with more
experience in nursing and who had access to education on having difficult conversations felt
more confident in communicating about death and dying (p. 22). Individuals who tended to be
more anxious in life tended to report a higher lack of confidence in speaking to patients and
families about death and dying than those without (p. 23). Cooper and Barnett (2005) posited
that nurses are deeply affected by caring for the dying yet do not share these experiences as a
means of coping (p. 430). Younger age of the nurse has been previously linked to personally
higher death anxiety (Deffner & Bell, 2005; Lange, Thom, & Kline, 2008; Zyga et al., 2011).
In Peters et al. (2013) emergency department (ED) and palliative care nurses (PCN) in
Australia were compared and found that both nursing groups had moderate death anxiety in their
clinical practices. The emergency nurses were found to have higher death avoidance behaviours
and reported lower coping in taking care of dying patients and their families compared to the
PCN (p. 157). Of note in this study, however, was that the PCN were ten years older than the ED
nurses and had greater years of clinical experience (p. 154). Clinical practices for both groups are
diverse by virtue of their role. PCN have greater experience in expected deaths versus ED nurses
whose experiences are often the sudden and traumatic, unexpected deaths. Therefore, one would
suspect that supporting an unexpected traumatic death would be a completely different
experience than a death following a natural or expected trajectory.
123
In contrast to the above noted literature, Sinclair (2011) found that front-line palliative
care professionals having repeated exposures with death and dying explicated that these
exposures were positive in nature. Participants expressed that being with the dying fostered
meaning in their personal lives by being able to live in the present, foster spirituality, and
consider continuity of life (p. 186). Of added interest, Desbiens and Fillion (2007) found that
meaning-making was a common coping strategy for palliative care nurses confronted with
regular bereavement. Meaning-making could positively impact one’s psyche, even in stressful
circumstances (p. 299). Both studies recognize the emotionally laden work of palliative care.
Temporizing Uncertainty with a deferred or delayed DM by PCN with purposeful future
trending may serve dual purposes. First, it takes the immediate pressure off the patient and
family to make an EOL decisions about location of death and allows for the meeting time to be
about the development of clinician-patient relationship, which is highly valued by PCN (Evans,
& Hallett, 2006, p. 749). The PCN can thus use the interaction to focus on helping assist the
patient transition from curative care to palliative or to explore the wishes and values of the
patients (p. 749). The PCN can focus on the comfort aspects of care such as pain and symptom
management (p. 746). Additionally, it may prevent further escalation of emotionally driven
patient-family-clinician conflict (p. 747).
Secondly, by deferring the DM, the PCN is taking away the immediate pressure of
making a potentially incorrect decision. When the clinician trends forward by deferring DM they
may not be the clinician who ultimately decides the predication. Thus, they would no longer be
responsible to the patient, family, and healthcare team for the pronouncement. Therefore, by
124
trending the DM into the future, the clinician does not have to be the bearer of the bad news,
which is often the emotionally heavy laden prognosis.
In this research study this discovered secondary process of delayed DM is specifically
connected to the ambiguity and DM of prognostication of chronic illnesses. The one exception to
this added process is when the PCN recognizes the patient intuitively to be imminently in their
EOL period. When the PCN is aware of imminent dying the initial process presented in figure
4.1 reflects what the DM of the PCN. The PCN values preparing the patient and family for dying
and would be able to move decisively to prediction and pronouncement accordingly. Similarly,
the process for prognostication in cancer diagnoses, being a trajectory that is far more predictable
for clinicians would likely also follow the step-wise rightward moving process as presented in
figure 4.1.
Peters et al., (2013), in a review of the literature about how death anxiety impacts the care
of patient at end-of-life, concluded that the role of an advanced practice PCN is one of
demanding emotional work that requires not only clinical skills but nurses with personal insight
into their own beliefs about death and dying (p. 20). Advanced practice PCN are at a high risk of
work stress and burnout, especially if they cope using negative emotional management strategies
such as avoiding or suppression (p. 20). I suspect that delaying DM is a strategy that may reflect
a way to manage personal emotions about a given patient context. Clinicians may have difficulty
caring for specific patients based on their own personal experiences of death and dying (Huang,
Chen, & Chiang, 2016, p. 109).
In Health professionals and death: emotions and management ways, authors Aisengart
and Pires (2006) reviewed the evolution of death and dying in western society in the 20th century
125
and the way in which health professionals manage their emotions. First, traditional death has
moved from being experienced in homes into hospitals. Dying has gone from being a visible
reality in community life to an experience that is hidden and controlled by medicine (p. 4). Next,
death has become medical work and has all but eliminated the previous meanings of sacredness
(p. 5).
Palliative care was introduced as a counter-medical concept of what constituted a good
death which considered the whole person over merely a disease process (p. 6). Palliative care is
centered on the comfort of the patient in relationship with the health professional, a new habitus
(p. 7). However, there is a tension that palliative care professionals have been trained in the
biomedical model and now must learn, adhere, acquire and follow this new identity, sometimes
at the cost of collegial discrimination (p. 8).
According to Menezes and Pires (2006), foundational to palliative care is the
communication of pertinent information in order to decrease uncertainty of the patient and
strengthen the patient-clinician relationship (p. 12). The emotional impact of working with dying
and suffering is tempered by the goals of achieving a good death for the patient (p. 14).
Frustration and suffering occurs when this ideal cannot be realized. Young age and unrelieved
suffering are such factors that may prevent a good death (p. 15). Excessive exposure to caring for
the dying can negatively impact the emotions of the palliative care practitioner (p. 16).
Temporizing Uncertainty underscores how emotions can drive judgement, choices and
DM (Lerner et al., 2015). A time delay is a means by which an individual employs the strategy
of letting time pass before making a decision in order to reduce the severity of the emotional
effects (Lerner et al., 2015, p. 811). Individuals with certainty-associated emotions have been
126
shown to make safer decisions than those with uncertainty-associated emotions (Bagneux,
Bollon, & Dantzer, 2012). This may further explain why advanced practice PCN, who openly
expressed uncertainty in prognosticating in chronic illnesses, used delaying time as a tactic to
make the future prognosis a safer decision.
Yip and Côté (2013) suggested that the means by which individuals can mitigate
incidental anxiety; that anxiety which is perceived by the person as being caused by events they
cannot control is through emotional intelligence (p. 49). Individuals with higher emotional
intelligence were able to distinguish that their anxiety was based on previous events that had no
relevance to the current DM (p. 50). There is the potential that awareness of one’s emotions and
previous anxieties while undertaking DM in prognostication can help mitigate the severity of
future DM (p. 54).
Divergent Findings to Temporizing Uncertainty
The central phenomena of Temporizing Uncertainty emerged from the data analysis and
interpretation of the coded interviews, participant observations, field notes, and memos. These
finding were grounded in the data and were not forced. However, I was intrigued to discover that
one participant of the nine observed was divergent from the rest.
The initial intention of this study was to understand the experiences of PCN in their work
of non-cancer prognostication and to that goal participation was sought of all PCN that do this
work in their daily role. The recruitment of PCN was sought from all care sectors within the local
palliative care program. This areas included PCN working in acute care, home care, palliative
intensive care and long-term-care, and supportive living. Inclusion criteria sought participants
who had one year clinical experience minimum, ensuring that they would have the work
127
experience of having to prognosticate in their role in transitioning a patient into hospice care and
would be familiar with the PPSv2 performance tool accordingly.
The participant with divergent findings was the sole participant who was not an in an
advanced practice PCN role. Although this PCN was advanced in that she had many years of
clinical experience in palliative care and was familiar with the task of waitlisting a patient for
hospice she was the only participant in a front-line nursing role. The experiences of this work for
this PCN was distinctly different than the other participants. This realization supported the
findings that this study had theorized and the theoretical model reflected the process of
prognostication and complex DM of advanced practice PCN.
Karen diverged from the other participants in two distinct ways. She did not complete the
process of prognostication as presented in the theoretical model in Figure 5.1. Her transcribed
interview codes reflected a partial process, which excluded the prospecting trending, prediction
and pronouncement aspects of the process. This conative portion of these key components
underscore the central phenomena. Furthermore, when unable to ascertain whether a patient fit
the criteria of hospice placement she deferred the DM to either another palliative clinician,
advanced practice PCN or a palliative physician.
Karen: I got in trouble over a patient… I had reviewed a patient on rounds with the
palliative physician and he determined that she likely had a prognosis of one to two
weeks, and the CNS thought so too. I had talked to them all about that at rounds so to me
this was an end-of-life patient. So here I am at the charge desk and I know this family and
the husband called in a panic and said they were not coping and I sent her to hospice
directly. (Interview)
128
These differences could be attributed to a number of factors. The frequency of non-
malignant prognostication in her setting as a front-line PCN in home care would be greatly
diminished in comparison to malignant. It is probable that although her palliative care nursing
experience numbered many years that experience had a strong focus on predominantly
supporting patients with cancer diagnoses. Also, advanced practice PCN spend time in orienting
to their work of prognostication with experienced advanced practice PCN. Front-line PCN in
home care might not have such orientation to this work. Therefore, as there may have been less
confidence about non-malignant prognostication she defaulted the DM to other colleagues with
whom she may have felt had more knowledge or practice experience.
Karen: well, I think there is not enough education about the chronic diseases you know?
I think that we tend to get a lot of education in palliative care about the cancer and the
pain control but I think we need more in-services, especially about cardiac illnesses. I
find the palliative nurses, you know, it’s kind of a deficit and I think we need more
education about ALS and more education about COPD because I think when those
patients come to us, you know, we don’t have as much knowledge as we could because
they are one off type patients. (Interview)
Karen: I find that CHF is very difficult to do the prognosis and see the trajectory and the
same with COPD-that’s another one, but now we have a COPD specialist who is really
helpful. (Interview)
Following the observation, Karen stated that she was sure the patient visited was
inappropriate for the palliative home care team and should be returned to another home
care team. She asked me my opinion as to what I thought his prognosis was. Taking an
129
additional twenty minutes in the privacy of her vehicle we reviewed his primary and co-
morbid conditions, symptom burden, performance status, hospitalizations and laboratory
work, it was clear that the patient was entering his imminent EOL period and
appropriate for palliative home care. (Memo, Karen Observation)
The second area where Karen showed divergence to the group was in her observation.
Field notes and memoing captured that Karen was the sole participant that chose to create a
physical barrier between herself and the patient with her laptop and portfolio case. According to
field notes and memos, Karen had little eye contact with the patient, and leaned away from the
patient. In the course of the interaction Karen directed the conversation through a list of tasks to
complete in this initial home visit. Unlike Karen, the remaining participants who allowed the
patient to direct the conversation and used engaged and mindful practices of communication.
The PCN had a very large portfolio that contained her patient information as well as her
laptop. Both served as creating a physical barrier between the patient and PCN. The
PCN spent little time actually looking at the patient. The conversation was directed by
the PCN and followed her script, which included a review of his symptoms and discharge
summary all from the vantage of her laptop. Her head was focused on her paperwork and
laptop during the conversation. The patient attempted to make eye contact with the PCN
and then being unsuccessful, redirected his attention to the researcher. (Karen, Field
notes, Observation)
Karen articulated that prognostication was an important task for PCN. However, this
work as presented in the above examples clearly demonstrated that her experiences were
distinctly different from the advanced practice PCN participants. Unfortunately, as there were no
130
other participants in similar clinical positions with which to compare, one must be cautious in
determining whether these divergent practices are common or merely a reflection of one
individual clinician’s practices. Furthermore, it could additionally reflect the complexities of the
patient case that was presented at that given time. Future research would be appropriate to
confirm or deny these findings.
Discussion
The work of prognostication will continue to be in demand in order to assist in DM by
patients, families and the healthcare team. This study illuminates how advanced practice PCN
value the work of preparing patients and families for dying, Supporting Symptoms, enhancing
quality of life, and transitioning to a preferred end-of-life location. The bifurcated process of DM
by advanced practice PCN in non-malignant prognostication underscores the complex, affective
and cognitive work with chronic illnesses and how they halted DM due to the ambiguous nature
through temporal deference.
Though this work is remarkably complex and challenging, it is valued by patients,
families and the healthcare team. Advanced practice PCN articulated motivating (affective)
factors that reflect who we are as palliative care clinicians. They desire to provide the best,
accurate prognosis which reflected core values. These core values reflected optimizing
opportunities to support life review, legacy work, and choice in the EOL location.
The extant literature highlighted theories of explanation behind the emerged phenomena
in this study. Death anxiety is a universal fear of dying. One’s own experiences with personal
loss can impact how one copes, or not with their dying patient. The demands and expectations of
the palliative care role in the context of a medicalized society may be an ongoing tension
131
between pursuing a so-called good death and the reality of having a system that pursues curative
measures at all costs. Lastly, the constant exposure to the deaths of others impacts how a
clinician undertakes DM in their professional practice.
Concluding Summary of the Interpreted Findings
In this chapter I presented through the voices of the participants the interpreted theory of
‘Temporizing Uncertainty’, and the theoretical model which visually represents the interpretation
of the experiences of advanced practice PCN in prognosticating in non-malignant illnesses. I
further explored and presented the significance of each finding as the interrelated affective and
cognitive psychological factors that impacts the DM through the conative processes. Extant
literature was incorporated in order to deepen the understanding of this emotionally demanding
work, and the process, along with the factors that impact the complex DM for this particular
group of advance practice nurses.
The strength of this research is in providing a glimpse into the unique process of
prognostication and DM by advanced practice PCN in non-malignant illnesses. Although some
may consider a delayed decision in prognostication as a weakness in the advance practice PCN
DM, I consider that this could be a potential opportunity to move prognostic work upstream to
the healthcare team that could aid in the DM in the future.
Limitations
I acknowledge that this study has many limitations. First, the sample of participants was
small, comprising of 11 interviews and 9 observations. Therefore, it is representative of only one
group with a common professional identity, with known norms of practice. Second, the sample
was homogenous, with all participants being Caucasian and female. Ten of 11 participants
132
worked for the Palliative Care Consult Service and provided consultant support to individuals in
private homes, long-term care, and supportive living, and acute care facilities. Only one PCN
maintained a patient case-load in their role in the Palliative Home Care Program.
It had been hoped to have had participants from the Intensive Palliative Care Unit.
However, I was unable to garner interest, even following multiple recruiting efforts. Had I had
representation from these clinical areas including male advanced practice PCN, it may have
altered the interpretation of the experiences and this situated story of prognostication in non-
malignant illnesses.
This work is an interpretation and theorizing of one potential truth based on the
researcher’s own lens of knowing this work intimately. Journaling and memoing along with self-
reflection and discussion with my supervisor was key in maintaining clarity in order to fully
comprehend what emerged in the data and subsequently represents the voices of the participants.
In the subsequent and final chapter I present the recommendations for future practice,
research and what this research has contributed to nursing knowledge.
133
Chapter Six: Implications for Practice and Recommendations
Never, before, in our country, have we had to contend with the impending and
intimidating numbers of chronically ill and aging population. In 2016, there were approximately
1.5 million Canadians over the age of 80 with a projection of 3.3 million by 2061 (CHPCA,
2018). Additionally, it is estimated that by 2061 it is projected that there will be between 11.9
and 15 million Canadians over the age of 65 (CHPCA, 2018). Furthermore, current data
suggests that 6 in 10 Canadians either personally suffer from a chronic illness or have a sufferer
in their immediate family (CHPCA, 2018).
Canadians with non-malignant illnesses can live for many years following diagnosis with
symptoms and disability. The trajectory of chronic diseases is uncertain in determining when
their imminent end-of-life will occur. As discussed in this research, the aging population which
is continuing to grow demonstrates the ongoing need to ensure access to Palliative Care which
promotes quality of living and supports for a good death. The importance of prognostication will
continue to frame the end-of-life interactions experienced by advanced practice PCN and their
patients.
Advanced practice PCN are uniquely situated in clinical practice to prognosticate in non-
malignant illnesses and as presented this DM is complex and subject to many factors. They will
thus need ongoing support in learning in understanding these factors that can hinder achieving
the valued predicted accuracy. Accurate prognostication, links to many foundational values of
advanced practice PCN that ensure patient’s transition towards death is one that supports quality
of life and a good death.
134
Recommendations for Practice
• All PCN who have the role of assessing and wait listing patients for hospice transfer
would benefit from a formal subject-oriented education on prognostication. Education
would include learning the known trajectories of illnesses, known tools, and models
available to assist with clinician prognostication.
• Advanced practice PCN would benefit from ongoing informal and formal education on
intercurrent illnesses, and treatment modalities that may change known chronic illness
trajectories.
• Advanced practice PCN value collaborative practices and would benefit from
opportunities to share and learn from each other about their practice experiences in
prognostication and DM.
• Advanced practice PCN newly hired into their role may benefit from a formal mentoring
relationship for expert support in prognostication for the initial year of employment.
Recommendations for future Research
• To test the theoretical model of Temporizing Uncertainty, future studies could focus on
advanced practice PCN prognostication in non-malignant illnesses which tracks the DM
pronouncement of the advanced practice PCN with the actual time of death. This may
illicit greater understanding of the duration of the temporizing and why or what occurs in
association with the end of temporizing.
135
• To test the theoretical model of Temporizing Uncertainty, a future study could compare
the work of prognostication between front-line PCN in care settings with advanced
practice PCN.
• To test the theoretical model of Temporizing Uncertainty, a future study could compare
complex DM in other disciplines such as Psychology.
• Future studies of the DM of advanced practice PCN prognosticate in non-malignant
illnesses could focus in other health regions in Canada and internationally in order to
compare findings.
• Future studies of the DM of advanced practice PCN prognostication in non-malignant
illnesses should include more ethnically diverse and male participants. This could
generate findings that demonstrate how ethnicity and gender might influence DM.
• Future studies of the DM of advanced practice PCN in the process of prognostication in
non-malignant illnesses could include clinicians from added practice settings, beyond the
ones represented in this study. This could generate additional knowledge in how the
system impacts individual clinician DM.
• Future studies could focus on how educational interventions change DM in advanced
practice PCN prognostication in non-malignant illnesses.
• Future studies could compare the DM of advanced practice PCN and physicians in
prognostication in non-malignant illnesses and explore whether palliative care physicians
also practice temporizing uncertainty.
136
Contributions of this Study:
• This is the first Canadian study that recognizes the work and DM in prognostication by
advanced practice PCN.
• This study is unique in using a constructivist grounded theory design producing an
emergent theory of ‘Temporizing Uncertainty’. It is the first study to provide an original
theoretical model to explain the process and DM of prognostication of non-malignant
illnesses by advanced practice PCN.
• The understanding of the bifurcated process of DM by advanced practice PCN with the
phenomena of ‘Temporizing Uncertainty’ may provide future opportunity in trending in
the clinical practice setting by health care teams beyond Palliative Care Clinicians.
• This study highlighted how other valued work, such as end-of-life location influenced the
DM process.
• The theorizing generated in this study is original in the DM process of prognostication.
• The theorizing generated will enable the advanced practice PCN to broaden their
understanding of the complexities of DM and that ‘Temporizing Uncertainty’ can
improve their DM in prognosticating in non-malignant illnesses.
• ‘Temporizing Uncertainty’ demonstrates that DM in prognostication in non-malignant
illnesses is complex. It further underscores that DM is not always a linear process and
need not be in order to be pragmatic.
137
Conclusion
I would like to conclude my dissertation with the recognition of my own learning
about advanced practice PCN prognostication in non-malignant illnesses. The phenomena
of ‘Temporizing Uncertainty’ may well be attributed to clinician reluctance to be wrong
in prognosticating and also influenced by the universal fears of one’s own death. I do
believe regardless as to the why DM is delayed for a time, this practice is valuable to me
as a front-line clinician in prognosticating. It further provides a unique opportunity to
move the work of future trending of one’s clinical status in a structured way by a
patient’s attending team before a referral is requested from Advanced practice PCN for
prognostication.
138
References
Adams, J. A., Bailey, D. E., Anderson, R. A., & Docherty, S. L. (2011). Nursing roles and
strategies in end-of-life decision making in acute care: A systematic review of the
literature. Nursing Research and Practice, 1-15. doi.org/10.1155/2011/527834
Amblàs-Novellas, J., Murray, A., Espaulella, J., Martori, J.C., Oller, R., Martinez-Muñoz, M., …
Gómez-Batiste, X. (2016). Identifying patients with advanced chronic conditions for a
progressive palliative care approach: a cross-sectional study of prognostic indicators
related to end-of-life trajectories. BMJ Open, 6(9), 1-10. doi: 10.1136/bmjopen-
2016012340
American Hospital Association (AHA). (2012). Advanced illness management strategies:
Engaging the community and a ready, willing and able workforce part 2. Retrieved from
https://www.aha.org/system/files/hpoe/Reports-HPOE/COR-CPI/aim-strat-part2-
report.pdf
Annells, M. (1996). Grounded theory method: Philosophical perspectives, paradigm of inquiry,
and postmodernism. Qualitative Health Research, 6(3), 379-393. Retrieved from
http://ezproxy.lib.ucalgary.ca/login?url=http://search.ebscohost.com/login.aspx?direct=tr
ue&db=a9h&AN=9609226919&site=ehost-live
Appleton, J., & King, L. (2002). Journeying from the philosophical contemplation of
constructivism to the methodological pragmatics of health services research. Journal of
Advanced Nursing, 40(6), 641-648. doi:10.1046/j.1356-2648.2002.02424
139
Bagneux, V., Bollon, T., & Dantzer, C. (2012) Do (un)certainty appraisal tendencies reverse the
influence of emotions on risk taking in sequential tasks?, Cognition and
Emotion, 26(3), 568-576, doi: 10.1080/02699931.2011.602237
Batiste, X., Martinez-Munoz, M., Blay, C., Espinosa, J., Contel, J., & Ledesma, A. (2012).
Identifying needs and improving palliative care of chronically ill patients: a
community-oriented, population-based, public-health approach. Current Opinion in
Supportive & Palliative Care, 6, 371-8. doi:10.1097/SPC.0b013e328356aaed
Birks, M., & Mills, J. (2011). Grounded theory: A practical guide. Thousand Oaks, CA: Sage.
Brett, A., Smith, M., Price, E., & Huitt, W. (2003). Overview of the affective domain.
Educational Psychology Interactive. Valdosta, GA: Valdosta State University. Retrieved
from http://www.edpsycinteractive.org/brilstar/chapters/affectdev.pdf
Bryant, A., & Charmaz, K. (2007). The Sage handbook of grounded theory. Thousand
Oaks, CA: Sage.
Canadian Hospice Palliative Care Association (CHPCA). Canadian hospice palliative care
nursing standards of practice. (2009). Retrieved from
http://www.chpca.net/media/7505/Canadian_Hospice_Palliative_Care_Nursing_Standard
s_2009.pdf
Canadian Nursing Association (CNA). Hospice Palliative Care Nursing Certification. (2015).
Retrieved from https://www.cna-aiic.ca/-/media/nurseone/files/en/hospice_palliative_care
_blueprint_and_competencies_e.pdf?la=en&hash=EF462BF689939CEA1CE13614E280
CEE9448956FB
140
Carper, B. A. (1978). Fundamental patterns of knowing in nursing. Advances in Nursing
Science, 1(1), 13-24. Retrieved from https://ucalgary-primo.hosted.exlibrisgroup.
com/primo-explore/fulldisplay?docid=TN_ovid00012272-19781000000004&context
=PC&vid=UCALGARY&search_scope=EVERYTHING&tab=everything&lang=en_US
Castillo, R. (2012). Functional Outcomes. In G. Li & S. Baker (Eds.), Injury research: Theories,
methods, and approaches (pp. 357-362). http://dx.doi.org/10.1007/978-1-4614-1599-
2_18
Cerit, B., & Dinç, L. (2013). Ethical decision-making and professional behaviour among nurses:
A correlational study. Nursing Ethics, 20(2), 200-212. Retrieved from https://doi-
org.ezproxy.lib.ucalgary.ca/10.1177/0969733012455562
Chang, A., Datta-Barua, I., McLaughlin, B., & Daly, B. (2014). A survey of prognosis
discussions held by health-care providers who request palliative care consultation.
Palliative Medicine, 28(4), 312-317. doi:10.1177/0269216313514126
Charmaz, K. (2006). Constructing grounded theory: A practical guide through
qualitative analysis. Sage Publications. Kindle Edition.
Charmaz, K. (2014). Constructing grounded theory. Thousand Oaks, CA: Sage.
Chenitz, C., & Swanson, J. (1986). From practice to grounded theory: Qualitative Research in
Nursing. Menlo Park, CA: Addison-Wesley.
Christakis, N. (2001). Death foretold: Prophecy and prognosis in medical care. Chicago, IL: The
University of Chicago Press.
Ciałkowska, A., & Dzierżanowski, T. (2013). Personal fear of death affects the proper process
of breaking bad news. Archives of Medical Science, 9(1), 127-31. doi:
141
10.5114/aoms.2013.33353
Citron, F., & Goldberg, A. E. (2014). Metaphorical sentences are more emotionally engaging
than their literal counterparts. Journal of Cognitive Neuroscience, 26(11), pp. 2585–
2595. doi:10.1162/jocn_a_00654
Clarke, M., Ewings, P., Hanna, T., Dunn, L., Girling, T., & Widdison, A. (2009). How accurate
are doctors, nurses and medical students at predicting life expectancy? European Journal
of Internal Medicine, 20(2009), 640-644. doi: 10.1016/j.ejim.2009.06.009
Clarkson, R., Selby, D., & Myers, J. (2012). A qualitative analysis of the elements used by
palliative care clinicians when formulating a survival estimate. BMJ Supportive &
Palliative Care, 3(3), 330–334. https://doi.org/10.1136/bmjspcare-2012-000320
Cooper, J., & Barnett, M. (2005). Aspects of caring for dying patients which cause anxiety to
first year student nurses. International Journal of Palliative Nursing, 11(8), 423-430.
Retrieved from https://ucalgary-primo.hosted.exlibrisgroup.com/primo-explore/
fulldisplay?docid=TN_proquest68670317&context=PC&vid=UCALGARY&search_sco
pe=EVERYTHING&tab=everything&lang=en_US
Corbin, J., & Morse, J. M. (2003). Qualitative inquiry the unstructured interactive interview.
Qualitative In, 9(3), 335–354. https://doi.org/10.1177/1077800403251757
Corbin, J., & Strauss, A. (2008). Basics of qualitative research: Techniques and procedures for
developing grounded theory (3rd ed.). Thousand Oaks, CA: Sage
Corkum, M., Viola, R., Veenema, C., Kruszelnicki, D., & Shadd, J. (2011). Prognosticating in
palliative care: A survey of Canadian palliative care physicians. Journal of Palliative
142
Care, 27(2), 89-97. Retrieved from http://ezproxy.lib.ucalgary.ca/login?url=http://search.
ebscohost.com/login.aspx?direct=true&db=rzh&AN=2011171148&site=ehost-live
Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five
approaches. Sage Publications. Kindle Edition.
Croft, P., Altman, D.G., Deeks, J.J., Dunn, K.M., Hay, A.D., Hemingway, H., &…Timmis, A.
(2015). The science of clinical practice: disease diagnosis or patient prognosis? Evidence
about “what is likely to happen” should shape clinical practice. BMC Medicine, 13(1), 1-
8. doi: 10.1186/s12916-014-0265-4
Crotty, M. (2010). The Foundations of social research: Meaning and perspective in the
research process. Thousand Oaks, CA: Sage Publications.
Curtis, J. R., Engelberg, R., Young, J. P., Vig, L. K., Reinke, L. F., Wenrich, M. D., … Back, A..
L. (2008). An approach to understanding the interaction of hope and desire for explicit
prognostic information among individuals with severe chronic obstructive pulmonary
disease or advanced cancer. Journal of Palliative Medicine, 11(4), 610–620.
https://doi.org/10.1089/jpm.2007.0209
de Kock, I., Mirhosseini, M., Lau, F., Thai, V., Downing, G.M., Quan, H.,…Yang, J.(2013).
Conversion of Karnofsky Performance Status (KPS) and Eastern Cooperative Oncology
Group Performance Status (ECOG) to Palliative Performance Scale (PPS), and the
interchangeability of PPS and KPS in prognostic tools, Journal Of Palliative Care, 29(3),
163-169. Retrieved from http://ezproxy.lib.ucalgary.ca/login?url=http://search.
proquest.com.ezproxy.lib.ucalgary.ca/docview/1442997900?accountid=9838
143
Deffner, J. & Bell, S. (2005). Nurses' death anxiety, comfort level during communication with
patients and families regarding death, and exposure to communication education: A
quantitative study. Journal for Nurses in Staff Development, 21(1), 24-25. Retrieved from
https://ucalgary-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_
ovid00124645-200501000-00006&context=PC&vid=UCALGARY&search_scope=
EVERYTHING&tab=everything&lang=en_US
Desbiens J, & Fillion L. (2007). Coping strategies, emotional outcomes and spiritual quality of
life in palliative care nurses. International Journal of Palliative Nursing, 13(6), 291–300.
Retrieved from http://ezproxy.lib.ucalgary.ca/login?url=http://search.ebscohost.com/login
.aspx?direct=true&db=rzh&AN=106142553&site=ehost-live
Downing, M. (Ed.). (2006). Palliative Performance Scale version 2 (PPSv2). Medical Care of the
Dying (4th ed.), 120-121. Victoria, B.C : Victoria Hospice Society.
Downing, G. M. (2011). “Who knows?” 10 steps to better prognostication. In L. Emanuel & S.
Lawrence Librach (Eds.), Palliative care: Core skills and clinical competencies. (pp. 69-
79). St. Louis, MO: Elsevier.
Downing, G. M., Lynd, P. J., Gallagher, R., & Hoens, A. (2011). Challenges in understanding
functional decline, prognosis, and transitions in advanced illness. Topics in Geriatric
Rehabilitation, 27(1), 18–28. https://doi.org/10.1097/TGR.0b013e3181ff6a89
Eastman, P., & Martin, P. (2012). Factors influencing survival after discharge from an
Australian Palliative Care unit to residential aged care facilities: A retrospective audit.
Journal of Palliative Medicine, 15(3), 327-333. doi:10.1089/jpm.2011.0319
144
Evans, M., & Hallett, C. (2007). Living with dying: A hermeneutic phenomenological study of
the work of hospice nurses. Journal of Clinical Nursing, 16(4), 742-751. Retrieved from
https://doi-org.ezproxy.lib.ucalgary.ca/10.1111/j.1365-2702.2006.01620.x
Ferguson, A. (2015). A grounded theory of non-cancer prognostication by palliative care nurses.
Unpublished manuscript, Faculty of Nursing, University of Calgary, Calgary, AB.
Gallagher, A., Bousso, R. S., McCarthy, J., Kohlen, H., Andrews, T., Paganini, M. C., …
Padilha, K. G. (2015). Negotiated reorienting: A grounded theory of nurses’ end-of-life
decision-making in the intensive care unit. International Journal of Nursing Studies, 52(4),
794–803. https://doi.org/10.1016/j.ijnurstu.2014.12.003
Giles, T., King, L., & de Lacey, S. (2013). The timing of the literature review in grounded theory
research: an open mind versus an empty head. Advances in Nursing Science, 36(2), E29-
E40. doi:10.1097/ANS.0b013e3182902035
Glare, P. (2011). Predicting and communicating prognosis in palliative care: Prognostic tools can
help, but should not be applied blindly. BMJ (Online), 343(7821), 429–430.
https://doi.org/10.1136/bmj.d5171
Glare, P., & Sinclair, C. (2008). Palliative Medicine Review: Prognostication. Journal of
Palliative Medicine, 11(1), 84-103. doi:10.1089/jpm.2008.9992
Glare, P., Sinclair, C., Downing, M., Stone, P., Maltoni, M., & Vigano, A. (2008). Predicting
survival in patients with advanced disease. European Journal of Cancer, 44, 1146-56.
doi:10.1016/j.ejca.2008.02.030
145
Glaser, B. (1978). Theoretical sensitivity: Advances in the methodology of grounded theory. Mill
Valley, CA: Sociology Press.
Glaser, B. (2001). The grounded theory perspective: Conceptualization contrasted with
description. Mill Valley, CA: Sociology Press.
Glaser, B., & Holton, J. (2007). Grounded Remodeling Theory. Grounded Theory Reader, (19),
47–68. Retrieved from https://www.ssoar.info/ssoar/bitstream/handle/document/28834/
ssoar-hsrsupp-2007-no_19-glaser-remodeling_grounded_theory.pdf?sequence=1
Glaser, B., & Strauss, A. (1967, 1995, 1999, 2008). The discovery of grounded theory: Strategies
for qualitative research. Piscataway, NJ: Transaction Publishers.
Gomez-Batiste, X., Martinez-Munoz, M., Blay, C., Espinosa, J., Contel, J., & Ledesma, A.
(2012). Identifying needs and improving palliative care of chronically ill patients: A
community-oriented, population-based, public health approach. Current Opinion Support
Palliative Care, 2012(6), 371-378. doi: 10.1097/SPC.0b013e328356aaed
Guba, E. & Lincoln, Y. (2005). Paradigmatic controversies, contradictions and emerging
confluences. In, N. Denzin & Y. Lincoln (Eds.), The Sage handbook of qualitative
research (pp.191-217). Thousand Oaks, CA: Sage.
Hall, H., Griffiths, D., & Mckenna, L. (2013). From Darwin to constructivism: The
evolution of grounded theory. Nurse Researcher, 20(3), 17-21.
Retrieved from http://ezproxy.lib.ucalgary.ca/login?url=http://search.
ebscohost.com/login.aspx?direct=true&db=a9h&AN=84747959&site=ehost-live
146
Hare, J., & Pratt, C. (1989). Nurses' fear of death and comfort level with dying patients. Death
Studies, 13(4), 349-360. Retrieved from https://doi-org.ezproxy.lib.ucalgary.ca/
10.1080/07481188908252313
Hjelmfors, L., Strömberg, A., Friedrichsen, M., Mårtensson, J., & Jaarsma, T. (2014).
Communicating prognosis and end-of-life care to heart failure patients: A survey of heart
failure nurses’ perspectives. European Journal of Cardiovascular Nursing, 13(2), 152–
161. https://doi.org/10.1177/1474515114521746
Ho, F., Lau, F., Downing, G. M., & Lesperance, M. (2008). A reliability study of the Palliative
Performance Scale. BMC Palliative Care, 7(10), 1-10. doi: 10.1186/1472-684X/7/10
Higginbottom, G., & Lauridsen, E. I. (2014). The roots and development of constructivist
grounded theory. Nurse Researcher, 21(5), 8-13. Retrieved from
http://dx.doi.org.ezproxy.lib.ucalgary.ca/10.7748/nr.21.5.8.e1208
Hilgard, E. (1980). The trilogy of mind: Cognition, affection, and conation. Journal of the
History of the Behavioral Sciences, 16(2), 107-117. Retrieved from https://ucalgary-
primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_wjAID-JHBS
2300160202>3.0.CO;2Y&context=PC&vid=UCALGARY&search_scope=EVERY
THING &tab=everything&lang=en_US
Huang, C. C., Chen, J. Y., & Chiang, H. H. (2016). The transformation process in nurses caring
for dying patients. The Journal of Nursing Research, 24(2), 109–117.
doi:10.1097/jnr.0000000000000160
Huitt, W. (1992). Problem solving and decision making: Consideration of individual differences
using the Myers-Briggs Type Indicator. Journal of Psychological Type, 24, 33-44.
147
Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.643.3379
&rep=rep1&type=pdf
Huitt, W. (1998). Critical thinking: An overview. Educational Psychology Interactive. Valdosta,
GA: Valdosta State University. Retrieved from http://www.edpsycinteractive.
org/topics/cognition/critthnk.html
Hunter, A., Murphy, K., Grealish, A., Casey, D., & Keady, J. (2011). Navigating the grounded
theory terrain. Part 1. Nurse Researcher, 18(4), 6-10. Retrieved from
http://ezproxy.lib.ucalgary.ca/login?url=http://search.ebscohost.com/login.aspx?direct=tr
ue&db=a9h&AN=62825806&site=ehost-live
International Council of Nurses (ICN). Definitions and Characteristics of the Role. (2008).
Retrieved from https://international.aanp.org/Practice/APNRoles
Izumi, S., Nagae, H., Sakurai, C., & Imamura, E. (2012). Defining end-of-life care from
perspectives of nursing ethics. Nursing Ethics, 19(5), 608–618. Retrieved from
https://doi-org.ezproxy.lib.ucalgary.ca/10.1177/0969733011436205
Jeon, Y. (2004). The application of grounded theory and symbolic interactionism. Scandinavian
Journal of Caring Sciences, 18(3), 249-256. doi:10.1111/j.1471-6712.2004.00287.x
Kearney, M (2013). From the sublime to the meticulous: The continuing evolution of grounded
formal theory. In A. Bryant & K. Charmaz (Eds.), The Sage Handbook of Grounded
Theory (pp.127-150). Thousand Oaks, CA: Sage.
Kalowes, P. (2015). Improving End-of-Life Care Prognostic Discussions. AACN Advanced
Critical Care, 26(2), 151–166. doi:10.1097/NCI.0000000000000086
148
Kawulich, B. (2005). Participant observation as a data collection method. Forum: Qualitative
Social Research, 6(2), 1-22. Retrieved from http://web.b.ebscohost.com.ezproxy.lib.
ucalgary.ca/ehost/pdfviewer/pdfviewer?vid=1&sid=d5544822-b8e9-47dc-9088-
e26d78e7932a%40pdc-v-sessmgr03
Kendall, J. (1999). Axial coding and grounded theory controversy. Western Journal of Nursing
Research, 21(6):743-757. Retrieved from http://ezproxy.lib.ucalgary.ca/login?url=http://
search.ebscohost.com/login.aspx?direct=true&db=rzh&AN=2000013672&site=ehost-
live
Kim, S. (2011). Development and initial psychometric evaluation of nurses' ethical decision
making around end-of-life-care scale in Korea. Journal of Hospice & Palliative Nursing,
13(2), 97-105. doi: 10.1097/NJH.0b013e31820611a4
Landau, M., Meier, B., & Keefer, L. (2010). A metaphor-enriched social cognition.
Psychological Bulletin, 136(6), 1045-1067. doi:10.1037/a0020970
Lange, M., Thom, B., & Kline, N. (2008). Assessing nurses' attitudes toward death and caring
for dying patients in a comprehensive cancer center. Oncology Nursing Forum, 35(6),
955-959. Retrieved from https://ucalgary-primo.hosted.exlibrisgroup.com/primo-
explore/fulldisplay?docid=TN_proquest69749987&context=PC&vid=UCALGARY&sea
rch_scope=EVERYTHING&tab=everything&lang=en_US
Lerner, J., Li, Y., Valdesolo, P., & Kassam, K. (2015). Emotion and Decision Making. Annual
Review of Psychology, 66, 799-823. Retrieved from https://ucalgary-primo.hosted.
exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_proquest1647733136&context
=PC&vid=UCALGARY&search_scope=EVERYTHING&tab=everything&lang=en_US
149
Levin, A., & Perkovic, V. (2013). Epidemiology: Global Burden of Disease Study 2010:
Implications for nephrology. Nature Reviews Nephrology, 9(4), 195-197.
Lincoln, Y., & Guba, E. (1985). Naturalistic inquiry. Beverly Hills, CA: Sage.
Loiselle, C. G., & Profetto-McGrath, J., (2011). Canadian essentials of nursing research.
Philadelphia, PA: Lippincott Williams & Wilkins.
Lowry, F. (1997). Does doctors' own fear of dying hinder palliative care? Canadian
Medical Association Journal 157(3), 301-302. Retrieved from https://ucalgary-
primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_proquest
79226538&context=PC&vid=UCALGARY&search_scope=EVERYTHING&tab=everyt
hing&lang=en_US
Lozano, R., Naghavi, M., Foreman, K., Lim, S., Shibuya, K., Aboyans, V.,… Memish, Z.A.
(2013). Global and regional mortality from 235 causes of death for 20 age groups in
1990 and 2010: A systematic analysis for the Global Burden of Disease Study 2010. The
Lancet, 380(9859), 2095-2128.
Mack, N., Woodsong, C., Macqueen, K., Guest, G., & Namey, E. (2005). Qualitative Research
Methods: A Data Collector’s Field Guide. North Carolina: Family Health International.
Manning, K. (1997). Authenticity in constructivist inquiry: Methodological considerations
without prescription. Qualitative Inquiry, 3(1), 93-115. Retrieved from https://doi-
org.ezproxy.lib.ucalgary.ca/10.1177/107780049700300105
150
Martin, B., & Koesel, N. (2010). Nurses’ role in clarifying goals in the intensive care unit.
Critical Care Nurse, 30(3), 64–73. https://doi.org/10.4037/ccn2010511
Martin-Misener, R., Bryant-Lukosius, D., Harbman, P., Donald, F., Kaasalainen, S., Carter, N.,
... DiCenso, A. (2010). Education of advanced practice nurses in Canada. Nursing
Leadership 23, 140-166. doi:10.12927/cjnl.2010.22273
McCann T., & Clark, E. (2003b). Grounded theory in nursing research: Part 2 -- critique. Nurse
Researcher, 19-28. Retrieved from
http://ezproxy.lib.ucalgary.ca/login?url=http://search.ebscohost.com/login.aspx?direct=tr
ue&db=rzh&AN=106 744380&site=ehost-live
McCready, J. (2010). Jamesian pragmatism: A framework for working towards unified diversity
in nursing knowledge development. Nursing Philosophy, 11(3), 191-203
doi:10.1111/j.1466-769X.2010.00444.x
Mead, G. E., Cowey, E., & Murray, S. A. (2013). Life after stroke-is palliative care relevant?: A
better understanding of illness trajectories after stroke may help clinicians identify
patients for a palliative approach to care. International Journal of Stroke, 8(6), 447–448.
https://doi.org/10.1111/ijs.12061
Mead, G. H. (1962). Mind, self, and society: From the standpoint of a social behaviorist, edited
by C. W. Morris. Chicago: University of Chicago Press.
Menezes, R., & Pires, P. S. (2006). Health professionals and death: emotions and management
ways. Teoria & Sociedade, 2(se) Retrieved from http://socialsciences.scielo.org/
scielo.php?script=sci_arttext&pid=S1518-44712006000200005&lng=en&tlng=en.
151
Mercer, S. W., & Reynolds, W. J. (2002). Empathy and quality of care. British Journal of
General Practice, 52, S9-S12. Retrieved from https://ucalgary-primo.hosted.exlibrisgroup.
com/primo-explore/fulldisplay?docid=TN_scopus2-s2.0-0036791368&context=PC&
vid=UCALGARY&search_scope=EVERYTHING&tab=everything&lang=en_US
Mikulincer, M., & Florian, V. (2002). The effects of mortality salience on self-serving
attributions-evidence for the function of self-esteem as a terror management mechanism.
Basic and Applied Social Psychology, 24(4), 261-271. Retrieved from https://doi.org
/10.1207/S15324834BASP2404_2
Miladinovic, B., Mhaskar, R., Kumar, A., Kim, S., Schonwetter, R., & Djulbegovic, B. (2013).
External validation of a web-based prognostic tool for predicting survival for patients in
hospice care. Journal of Palliative Care, 29(3), 140. Retrieved from
http://search.proquest.com/openview/f80d80652ec8111b3e0da5e714e88d74/1?pq-
origsite=gscholar&cbl=31334
Milic, B. M. M., Puntillo, K., Turner, K., Joseph, D., Peters, N., Ryan, R., … Anderson, W. G.
(2015). Communicating with patients’ families and physicians about prognosis and goals
of care. American Journal of Critical Care, 24(4), 56–65. doi:10.4037/ajcc2015855
Milliken, P. J. & Schreiber, R. (2012). Examining the nexus between grounded theory and
symbolic interactionism. International Journal of Qualitative Methods, 11(5), 684-696.
Retrieved from
http://ezproxy.lib.ucalgary.ca/login?url=http://search.ebscohost.com/login.aspx?direct=tr
ue&db=a9h&AN=89189458&site=ehost-live
152
Mills, J., Bonner, A., & Francis, K. (2006). The development of constructivist grounded theory.
International Journal of Qualitative Methods, 5(1), 25-35. doi: 10.1177/16094069
0600500103
Mir, R., & Watson, A. (2000). Strategic management and the philosophy of science: The case for
a constructivist methodology. Strategic Management Journal, 21(9), 941-953. Retrieved
from http://www.jstor.org.ezproxy.lib.ucalgary.ca/stable/i355660
Mosby’s medical dictionary. (2016). (10th ed.). St. Louis, MO: Mosby Elsevier.
Nelson, J. E., Hanson, L. C., Keller, K. L., Carson, S. S., Cox, C. E., Tulsky, J. A., … Danis, M.
(2017). The voice of surrogate decision-makers: Family responses to prognostic information
in chronic critical illness. American Journal of Respiratory and Critical Care Medicine,
196(7), 864–872. Retrieved from https://doi.org/10.1164/rccm.201701-0201OC
Newman, A. R. (2016). Nurses’ perceptions of diagnosis and prognosis-related communication.
Cancer Nursing, 39(5), E48–E60. doi: 10.1097/NCC.0000000000000365
Norton, S., & Bowers, B. (2001). Working toward consensus: Providers' strategies to shift
patients from curative to palliative treatment choices. Research in Nursing & Health,
24(4), 258-269. Retrieved from https://doi-org.ezproxy.lib.ucalgary.ca/10.1002/nur.1028
O’Toole, M. (Ed.). (2017). Mosby’s Medical Dictionary (10th Ed). St. Louis, Missouri: Elsevier.
Pashak, T., Oswald, S, Justice, M., Seely, L., Burns, B., & Shepherd, S. (2017). You are alive
right now: An experimental exploration of the interplay between existential salience,
mental health, and death anxiety. College Student Journal, 51(4), 451-462. Retrieved
153
from https://ucalgary-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=
TN_ericEJ1162457&context=PC&vid=UCALGARY&search_scope=EVERYTHING
&tab=everything&lang=en_US
Peters, L., Cant, R., Payne, S., O’Connor, M., McDermott, F., Hood, K.,. . . Shimoinaba, K.
(2013). How death anxiety impacts nurses’ caring for patients at the end of life: A review
of literature. The Open Nursing Journal, 7(1), 14-21. doi:10.2174/18744346
601307010014
Péus, D., Newcomb, N., & Hofer, S. (2013). Appraisal of the Karnofsky performance status and
proposal of a simple algorithmic system for its evaluation. BMC Medical Informatics and
Decision Making, 13(1), 72. Retrieved from https://doi.org/10.1186/1472-6947-13-72
Pontin, D., & Jordan, N. (2011). Issues in prognostication for hospital specialists palliative care
doctors and nurses: A qualitative inquiry. Palliative Medicine, 27(2), 165-171.
doi: 10.1177/0269216311432898
Prawat, R. S. (1999). Social constructivism and the process-content distinction as viewed by
Vygotsky and the pragmatists. Mind, Culture & Activity, 6(4), 255-273.
doi: 10.1080/10749039909524731
Public Health Agency of Canada. (2016) How healthy are Canadians? A trend analysis of the
health of Canadians from a healthy living and chronic disease perspective. Retrieved
from: h ttps://www.canada.ca/content/dam/phacaspc/documents/services/publications
/healthy-living/how-healthy-canadians/pub1-eng.pdf
Reinke, L. F., Shannon, S. E., Engelberg, R. A, Young, J. P., & Curtis, J. R. (2010). Supporting
hope and prognostic information: nurses’ perspectives on their role when patients have
154
life-limiting prognoses. Journal of Pain and Symptom Management, 39(6), 982–92.
https://doi.org/10.1016/j.jpainsymman.2009.11.315
Richards, L., & Morse, J. (2013). Readme first for a user’s guide to qualitative methods
Thousand Oaks, CA: Sage.
Roberts, I., & Jackson, R. (2013). Beyond disease burden: Towards solution-oriented population
health. The Lancet, 381(9884), 2219-2221. doi:10.1016/S0140-6736(13)60602-9
Rolo, G, & DÍaz-cabrera, D. (2005). Decision-making processes evaluation using two
methodologies: field and simulation techniques, Theoretical Issues in Ergonomics
Science, 6(1), 35-48, doi: 10.1080/14639220512331311544
Ryan, F., Coughlan, M., & Cronin, P. (2009). Interviewing in qualitative research: The one-to-
one interview. International Journal of Therapy and Rehabilitation, 16(6), 309-314. doi:
10.12968/ijtr.2009.16.6.42433
Saldaña, J. (2009). The coding manual for qualitative researchers. Thousand Oaks, CA: Sage.
Salomon, J. A., Wang, H., Freeman, M. K., Vos, T., Flaxman, A. D., Lopez, A. D., & Murray, C.
J. L. (2012). Healthy life expectancy for 187 countries, 1990-2010: A systematic analysis
for the Global Burden Disease Study 2010. The Lancet, 380(9859), 2144–62.
doi:10.1016/S0140-6736(12)61690-0
Sandelowski, M. (1995). Focus on qualitative methods qualitative analysis : What it is and how
to begin. Research in Nursing & Health, 18(4), 371–375. Retrieved from
http://onlinelibrary.wiley.com.ezproxy.lib.ucalgary.ca/doi/10.1002/nur.4770180411/pdf
155
Saunders, T., Buehner, M. (2013). The gut chooses faster than the mind: A latency advantage of
affective over cognitive decisions. The Quarterly Journal of Experimental Psychology.
66(2), pp. 381–388. Retrieved from http://dx.doi.org/10.1080/17470218.2012.712541
Schreiber, R., & Stern, P. (2001). Using grounded theory in nursing. New York, NY:
Springer Publishing Company.
Selby, D., Chakraborty, A., Lilien, T., Stacey, E., Zhang, L., & Myers, J. (2011). Clinician
accuracy when estimating survival duration: The role of the patient's performance status
and time-based prognostic categories. Journal of Pain and Symptom Management, 42(4),
578-588. doi:10.1016/j.jpainsymman.2011.01.012
Shklarov, S. (2010). The grounded theory method: Basic principles and procedures.
Unpublished manuscript. Faculty of Nursing, University of Calgary, Calgary, AB.
Sinclair, S. (2011). Impact of death and dying on the personal lives and practices of palliative
and hospice care professionals. Canadian Medical Association Journal, 183(2), 180-7.
doi:10.1503/cmaj.100511
Staples, E., Ray, S., & Hannon, R. (Eds.) (2016). Canadian perspectives on advanced practice
nursing. Toronto, ON: Canadian Scholars’ Press.
Statistics Canada. (2018). Deaths, causes of death and life expectancy, 2016. Retrieved from
https://www150.statcan.gc.ca/n1/daily-quotidien/180628/dq180628b-eng.htm
Statistics Canada. (2018). Health-adjusted life expectancy in Canada [HALE]. Retrieved from
https://www150.statcan.gc.ca/n1/en/pub/82-003-x/2018004/article/54950-
eng.pdf?st=lu4CRhzU
156
Strauss, A., & Corbin, J. (1994). Grounded theory methodology: An overview. In N. Denzin &
Y. Lincoln (Eds.), Handbook of Qualitative Research (pp. 273-285). Thousand Oaks,
CA: Sage.
Streubert, H. J., & Rinaldi Carpenter, D. (2011). Qualitative research in nursing (5th edition).
New York: Wolters Kluwer, Lippencott Williams & Wilkins.
The Gold Standards Framework in Palliative Care. (2013). Retrieved from
https://www.westsuffolkccg.nhs.uk/wp-content/uploads/2013/08/GSF-Information-for-
Patients-Families-Friends.pdf
Teno, J. M., Plotzke, M., Gozalo, P., & Mor, V. (2014). A national study of live discharges from
hospice. Journal of Palliative Medicine, 17(10), 4–10.
https://doi.org/10.1089/jpm.2013.0595
Thornberg, R. (2012). Informed grounded theory. Scandinavian Journal of Educational
Research, 56(3), 243-259. doi:10.1080/00313831.2011.581686
Timmermann, C. (2012). Just give me the best quality of life questionnaire: The Karnofsky Scale
and the history of quality of life measurements in cancer. Chronic Illness, 9(3), 179-
190. doi:10.1177/1742395312466903
Twomey, F., O’Leary, N., & O’Brien, T. (2008). Prediction of patient survival by healthcare
professionals in a specialist palliative care inpatient unit: A prospective study. American
Journal of Hospice & Palliative Medicine, 25(2), 139-145. doi: 10.1177/104990
9107312594
157
Tyburski, E. (2017). Psychological Determinants of Decision Making. In Nermend, K., &
Łatuszynska, M. (eds.), Neuroeconomic and Behavioral Aspects of Decision Making,
Springer Proceedings in Business and Economics, doi: 10.1007/978-3-319-62938-4_2
Villavicencio-Chavez C., Monforte-Royo C., Tomas-Sabado J., Maier M.A., Porta-Sales, J., &
Balaguer, A. (2014). Physical and psychological factors and the wish to hasten death in
advanced cancer patients. Psycho-Oncology, 23, 1125-32. doi:10.1002/pon.3536
Waldrop, D. P., & Rinfrette, E. S. (2009). Making the transition to hospice: Exploring hospice
professionals’ perspectives. Death Studies, 33(6), 557–580.
https://doi.org/10.1080/07481180902961187
Waldrop, D. P., & Meeker, M. A. (2012). Hospice decision making: Diagnosis makes a
difference. Gerontologist, 52(5), 686–697. Retrieved from
https://doi.org/10.1093/geront/gnr160
Walker, D. & Myrick, F. (2006). Grounded theory: An exploration of process and procedure.
Qualitative Health Research, 16, 547-559. Retrieved from
http://qhr.sagepub.com.ezproxy.lib.ucalgary.ca/content/16/4/547.full.pdf+html
Walls, P., Parahoo, K., & Fleming, P. (2010). Grounded theory: The role and place of knowledge
and literature in grounded theory. Nurse Researcher, 17(4), 8-17. Retrieved from
http://ezproxy.lib.ucalgary.ca/login?url=http://search.ebscohost.com/login.aspx?direct=tr
ue&db=a9h&AN=53274104&site=ehost-live
158
Welch, L. C., Miller, S. C., Martin, E. W., & Nanda, A. (2008). Referral and timing of referral to
hospice care in nursing homes: The significant role of staff members. The Gerontologist,
48(4), 477–484. https://doi.org/10.1093/geront/48.4.477
Williams, A. M., Crooks, V. A., Whitfield, K., Kelley, M. L., Richards, J. L., DeMiglio, L., &
Dykeman, S. (2010). Tracking the evolution of hospice palliative care in Canada: A
comparative case study analysis of seven provinces. BMC Health Services Research
10(1), 1-15. doi: 10.1186/1472-6963-10-147
World Health Organization (n.d.). WHO definition of palliative care. Retrieved from
http://www.who.int/cancer/palliative/definition/en/
Yip, J., & Côté, S. (2013). The emotionally intelligent decision maker: emotion-understanding
ability reduces the effect of incidental anxiety on risk taking. Psychological Science,
24(1), 48-55.
Zyga, M., Malliarou, M., Lavdaniti, M. Athanasopoulou, M., Sarafis, P., & Zyga, S. (2011).
Greek renal nurses' attitudes towards death. Journal of Renal Care, 37(2), 101-107.
doi: 10.1111/j.1755-6686.2011.00210.x
159
CINAHL (n=10)
(n = 10
Scre
enin
g In
clu
ded
El
igib
ility
Id
enti
fica
tio
n
Articles after initial screen (n=124)
(n =124)
Records after duplicates removed (n = 48)
Records excluded (n =76)
Full-text articles assessed for eligibility
(n = 48)
Full-text articles excluded, with reasons
(n = 32)
Qualitative studies (n = 15)
Quantitative studies (n = 2)
Total Studies (n = 17)
EMBASE (n=148)
(n = 148)
Ovid MEDLINE (n=127)
(n = 127)
PsycINFO (n=10)
(n = 10)
PubMed (n=121)
(n = 121)
Appendix A
Literature Search Flowchart
160
Appendix B
Study Search Terms and Inclusion Criteria
Search Terms:
• Prognostication or prognosis or survival estimate or mortality
• Palliative Care or end of life care or terminal care or dying or advanced illness or serious
illness
• Chronic illness or chronic disease or long term conditions, or chronic conditions or
chronically ill
• Process or task or function or role
Search terms were all combined with nursing or nurses or nurse
Inclusion criteria:
• Study conducted in adult population.
• Study must be published in the English language.
• Study occurred between 2008 and present time.
• Studies with a focus on chronic cancer diagnoses were excluded.
161
Appendix C Table 1
Quality Appraisal of Studies using the Specialist Unit for Review Evidence (SURE) checklist (2013)
Qualitative Studies
Study
Checklist Ad
ams,
Bai
ley,
An
der
son
& D
och
erty
, 20
11
Cla
rke,
Ew
ings
, Han
na,
D
un
n e
t al
., 2
009
Cla
rkso
n, S
elb
y &
M
yers
, 201
2
Cu
rtis
, En
gelb
erg,
Yo
un
g, V
ig e
t al
., 2
008
Do
wn
ing,
Lyn
d,
Gal
lagh
er &
Ho
ens,
20
12
Gal
lagh
er, B
ou
sso
,
McC
arth
y, K
oh
len
et
al.,
201
5
Hje
lmfo
rs, S
trö
mb
erg,
Fr
ied
rich
sen
,
Mår
ten
sso
n &
Ja
arsm
a, 2
014
Kal
ow
es, 2
015
Mar
tin
& K
oes
el, 2
010
Mili
c, P
un
tillo
, Tu
rner
, Jo
sep
h e
t al
., 2
015
Does the study address a clearly focused question/hypothesis?
Is the choice of qualitative method appropriate?
-- --
Is the sampling strategy clearly described and justified?
Is the method of data collection well described?
Is the relationship between the researcher(s) and participants explored?
Are ethical issues explicitly discussed? Is the data analysis/interpretation process described and justified?
Are the findings credible? -- -- --
Is any sponsorship/conflict of interest reported?
Did the authors identify any limitations?
Yes, No, Cannot tell –
162
Appendix C
Table 1
Quality Appraisal of Studies using the Specialist Unit for Review Evidence (SURE) checklist (2013)
Qualitative Studies
Study Checklist N
ewm
an, 2
016
Po
nti
n &
Jo
rdan
, 20
13
Re
inke
, Sh
ann
on
, En
gelb
erg
&
You
ng,
201
6
Two
mey
, O’L
eary
&
O’ B
rien
, 200
8
Wal
dro
p &
Mee
ker,
200
9
Wal
dro
p &
M
eeke
r, 2
012
Wel
ch, M
iller
,
Mar
tin
& N
and
a,
2008
Does the study address a clearly focused question/hypothesis?
Is the choice of qualitative method appropriate?
Is the sampling strategy clearly described and justified?
Is the method of data collection well described?
Is the relationship between the researcher(s) and participants explored?
Are ethical issues explicitly discussed? Is the data analysis/interpretation process described and justified?
Are the findings credible? -- -- -- Is any sponsorship/conflict of interest reported?
Did the authors identify any limitations?
Yes, No, Cannot tell –
163
Appendix D
Table 2
Literature Review Studies
Study Location Objective Design Methods Findings Limitations
Adams,
Bailey,
Anderson &
Docherty,
2011
Durham,
North
Carolina
To analyze the
literature
concerning
nurses’ roles
and strategies in
EOL decision
making in acute
care
environments,
synthesize the
findings, and
identify
implications for
future research
Literature Review This paper of the
literature covers a
15-year period
from 1996 to 2011,
to capture literature
published
following the
SUPPORT [16]
study, a seminal
work on this topic.
Three nursing
roles emerged
from the synthesis
of the literature:
information
broker, supporter,
and advocate, each
with a set of
strategies nurses
use to enact the
roles
Not all the studies
were focused
specifically on
nurses but rather
healthcare
providers in
general
All but one were
retrospective in
nature, none were
observational
Inclusive of
cancer dx
Clarke,
Ewings,
Hanna, Dunn
et al., 2009
Cornwall,
UK
determine the
consistency,
accuracy and
precision with
which doctors,
nurses and
medical
Actuarial analysis Questionnaire Doctors, nurses
and medical
students were
inconsistent,
inaccurate and
imprecise in their
prediction of LE
Hypothetical
patient scenarios
were used
Used actuarial
versus actual
survival data
164
students predict
life expectancy
with a tendency
toward
underestimation.
Clarkson,
Selby &
Myers, 2012
Toronto,
Ontario,
Canada
The objective
of this study
was to gain a
deeper
appreciation of
this process by
identifying and
exploring the
specific
elements that
may inform
and/or impact a
clinician's
estimate of
survival (CES).
Grounded Theory Semi structured
interviews were
conducted among a
group of palliative
care clinicians in
the setting of a
tertiary academic
health sciences
centre.
5 major themes
that affect CES:
-Use of objective
patient-specific
elements
(Albumin,
Performance
status)
-The patient-
clinician
relationship
(Depth of rapport)
-Purpose and
context of an
individual CE
(Obtaining
services)
-Perceived role of
hope
-Likelihood of
CES inaccuracy
Participants were
from one location
Participants were
full time
Palliative Care
(no other
discipline)
Clinician
awareness of
variables that
impact decision-
making was
subjective.
165
Study Location Objective Design Methods Findings Limitations
Curtis,
Engelberg,
Young, Vig
et al., 2008.
Seattle,
Washington,
U.S.A
To examine the
perspectives of
patients, family,
physicians, and
nurses on the
simultaneous
need for
supporting hope
and discussing
prognosis.
Grounded theory
was used to
analyze the
transcripts and
evaluated a
conceptual model
with four
diagrams
depicting different
types of
approaches to
hope and
prognostic
information
Longitudinal
qualitative
interviews with
patients with either
advanced cancer or
severe chronic
obstructive
pulmonary disease.
55 patients, 36
family members,
31 physicians, and
25 nurses
This study found
important
variability in the
ways different
patients with life-
limiting illnesses
approach the
interaction of
wanting support
for hope and
prognostic
information from
their clinicians.
Not compared to
other studies
The proportion of
conceptual model
preference by
participants is
unknown.
One geographical
region and
participants were
mostly Caucasian.
Purposive
sampling
Downing,
Lynd,
Gallagher, &
Hoens, 2012
Victoria,
B.C, Canada
To inform the
health care
provider's
response to the
common
question asked
by older adults
with advancing
illnesses, 'How
long do I have?'
and to provide
caregivers with
Presentation of a
10 Step approach
for
prognostication
Comparison of
Prognostic tools
Prognostic tools
and symptoms that
have been shown
to have predictive
value are:
delirium,
persistent
tiredness, weight
loss, shortness of
breath, dysphagia,
and skin
breakdown.
166
a framework
which can guide
provision of
care in
advancing
illness. Both
purposes are
addressed by
exploring 3
major concepts
associated with
declining
functional
ability
Laboratory
markers including
white blood cell
count,
lymphocytes,
lactate
dehydrogenase,
albumin, C-
reactive protein.
Study Location Objective Design Methods Findings Limitations
Gallagher,
Bousso,
McCarthy,
Kohlen et
al., 2015
5 Countries:
Brazil,
England,
Germany,
Ireland and
Palestine
To understand
nurses’ EoL
decision-
making
practices in
ICUs in
different
cultural
contexts.
Grounded Theory Semi-structured
interviews
51 nurses (10 in
Brazil, 9 in
England, 10 in
Germany, 10 in
Ireland and 12
nurses in Palestine
The core category
that emerged was
'negotiated
reorienting'.
Whilst nurses do
not make the
'ultimate' EoL
decisions, they
engage in two core
practices:
consensus seeking
(involving
coaxing,
information cuing
Purposive
sampling
167
and voice
enabling); and
emotional holding
(creating time-
space and comfort
giving)
Hjelmfors,
Strömberg,
Friedrichsen,
Mårtensson,
& Jaarsma,
2014.
Linköping,
Sweden.
This study aims
to describe HF
nurses’
perspectives on,
and daily
practice
regarding,
discussing
prognosis and
end-of-life care
with HF
patients in
outpatient care.
It further aims
to explore
barriers,
facilitators and
related factors
for discussing
these issues.
Survey
SPSS and content
analysis/Literature
Review
A national survey
including nurses
from outpatient
clinics and primary
health care centres.
111 HF nurses
completed the
questionnaire.
(82%)
Although HF
nurses feel
competent
discussing
prognosis and end-
of-life care with
the HF patient,
they are hesitant to
have these
conversations.
Did not correct
for multiple
testing Additional
qualitative data
from open-ended
questions was
analysed using a
content analysis
approach. 26
Keywords and
phrases, derived
from the data,
were individually
and inductively
categorised into
barriers or
facilitators by the
researchers and
then discussed
until consensus
was reached.
Secondly, barriers
and facilitators
were deductively
168
sorted into
categories
developed from
an integrative
literature review
on end-of-life
communication.
Study Location Objective Design Methods Findings Limitations
Kalowes,
2015.
Long Beach,
CA, U.S.A
To provide an
overview of
effective ICU
prognostic
systems and
discuss
barriers and
opportunities
for
Nurses to use
evidence-based
knowledge
related to
disease
trajectory and
prognosis to
improve
communication
and the quality
of palliative and
Current
prognostic tools;
end-stage
clinical,
laboratory, and
diagnostic
markers; and
functional status
(FS) are reviewed,
to assist the
formation of a
prognosis.
Case studies and
Literature Review
Knowledge related
to disease
trajectory and
common
characteristics of
decline, such as
performance
status, and factors
associated with
prognosis, assist
Nurses to advocate
for patients at end
of life.
-Opinion piece
-Limited to ICU
Nurses only
169
end-of-life care
for patients.
Study Location Objective Design Methods Findings Limitations
Martin &
Koesel,
2010.
Charlotte,
NC U.S.A
To promote
effective
communication
when prognosis
is uncertain and
the goal of care
is unclear.
Case Studies
Literature Review
Nurses play a
pivotal role in
facilitating
communication
with critically ill
patients and their
families.
Nurses must be
proficient in
communication
skills in addition
to clinical skills.
Nurses can use
evidence- based
knowledge related
to disease
trajectory and
prognosis to
advocate
effectively for
patients and
families.
Directed to ICU
Nurses only
170
The nurse has an
essential role as a
team member
in establishing the
goals of care
Milic,
Puntillo,
Turner,
Joseph et al.,
2015
San
Francisco,
CA, U.S.A
The objectives
of the workshop
were to assess
understanding
of prognosis
and goals of
care by patients’
families;
communicate
the needs of
patients’
families to
physicians;
advocate for
family
members’
informational
and emotional
needs in a
family meeting;
and develop
skills for coping
with
A training
workshop on
communication
skills for critical
care nurses
On the basis of the
needs assessment
and previous
scholarly work,
a model was
developed for
bedside nurses to
facilitate
communication
about prognosis
and goals of care
among patients’
families and other
clinicians.
82 critical care
nurses completed
the workshop
Themes:
Clarification and
reinforcement of
nurses’ role and
responsibilities in
discussions of
prognosis and
goals of care
As a result of
practicing
communication
skills during role
playing, nurses
have a “tool kit” to
actualize their role
in discussions with
patients’ families
and physician
Nurses feeling
empowered to
voice concerns and
participate in
discussions about
Directed at ICU
Nurses
The evaluation
was limited to
surveys of the
participants and
did not include
observations of
the participants’
communication or
assessment of the
impact of the
program on the
patients, patients’
families, and
physicians with
whom our
participants
worked. Second,
our interventions
consisted of an
intensive yet
single classroom
171
stress, moral
distress, and
compassion
fatigue.
prognosis and
goals of care
Nurses have
increased empathy
for and feel more
connected with
patients’ families,
physicians, and
each other
As a result of the
workshop, the
culture in the
medical center is
changing so that
nurses are
centrally involved
in communication
session, a format
that may limit the
capability of the
workshop to
change
participants’
practice. Third,
although results
of the 3-month
follow-up
evaluation
indicated that
increases in skill
and confidence
were sustained
after the
workshop, the
response rate to
this survey was
low, a
characteristic that
limits
interpretation of
our data. Finally,
we conducted our
study at a single
academic medical
center.
172
Study Location Objective Design Methods Findings Limitations
Newman,
2016.
Milwaukee,
Wisconsin,
U.S.A
The aim of this
study is to
synthesize
published
literature
regarding
nurses’
perceptions and
experiences
with diagnosis
and prognosis-
related
communication.
Integrated
Literature Review
Electronic
databases
including
Cumulative Index
to Nursing and
Allied Health
Literature, Health
Sciences in
ProQuest,
PubMed, and Web
of Science were
used to review the
literature from
2000 to 2015.
Key roles of
Nurses with
prognostic
disclosure include
that of educator,
care coordinator,
supporter,
facilitator, and
advocate.
Most of the
studies presented
were descriptive,
survey designs.
No intervention
studies were
included.
Pontin &
Jordan, 2013
U.K To explore
hospital
specialist
palliative care
professionals’
experience of
prognostication
Qualitative
research
Focus Group
Interviews
Three UK hospital
specialist palliative
care teams.
Participants
included medical
doctors and
palliative care
nurses.
Inclusion/exclusion
criteria: member of
hospital specialist
palliative care team
Two major
themes:
Difficulties of
prognostication;
Benefits of
prognostication.
Eleven sub-
themes:
Difficulties (Non-
malignant disease;
Communicating
uncertainty;
Seeking definitive
prognosis;
The study
weaknesses are its
small-scale
qualitative design
using a purposive
sample from three
hospital specialist
palliative care
teams based in the
UK. It is not
possible to
determine
whether the
experiences and
173
with knowledge
and experience of
prognostication.
Numbers of
participants: four
hospital specialist
palliative medicine
consultants, three
senior doctors in
training, nine
clinical nurse
specialists.
Participants’
feelings;
Confidence in
prognostication;
Estimating
prognosis; Dealing
with reaction of
prognosis;
Prognostic error);
Benefits (Patient
informed decision-
making
prioritizing needs
and care; Family-
prioritizing
commitments;
Services accessing
funding and
services planning
patient care).
feelings expressed
by the participants
are common
amongst the wider
UK population or
beyond and
whether other
hospital specialist
palliative care
teams practise in
the same way.
Study Location Objective Design Methods Findings Limitations
Reinke,
Shannon,
Engelberg,
& Young,
2016
Seattle,
Washington,
U.S.A
Our objectives
were to 1)
describe nurses’
perspectives on
meeting
Patient’s needs
for hope and
illness
Grounded Theory Semi structured
interviews with 22
nurses
Three themes
emerged: 1)
Nurses support
patients’ hopes by
understanding
individual aspects
of these hopes,
focusing on
Did not assess the
prevalence of the
identified themes.
(Not
generalizable)
Nursing role
conceptualizations
174
information and
2) offer insights
for interventions
designed to
improve
communication
about end-of-
life care for
patients and
their families.
patient’s quality of
life, and building
trust with patients;
2) Nurses provide
prognostic
information by
assessing what the
patient knows and
following their
lead. Nurses report
doing these two
activities
independently; and
3) Nurses identify
activities
associated with the
provision of
prognostic
information that
required
collaboration with
physicians.
characterize
perceptions
There could be
differences in
perceptions
between chronic
and cancer
populations.
Study Location Objective Design Methods Findings Limitations
Twomey,
O’Leary &
O’Brien,
2008
Cork,
Ireland
Aim of this
study was to
compare the
ability of 5
professional
groups to
Prospective Study Clinicians
independently
completed a
proforma to predict
the length of
survival for each
The greatest errors
of prediction
related to
significant under-
estimation of
survival by senior
It is not a cohort-
based study and
patients with a
variety of ill-
nesses entered the
study at different
175
estimate the
survival of
patients
admitted to a
specialist
palliative care
unit.
patient admitted
within 48 hours
medical and
nursing staff and
highlighted a
difficulty in
accurately
identifying the
patients who
would survive for
between 1 and 3
months after
admission in
particular.
points between
diagnosis and
death.
Unequal numbers
of professionals
by category
Prediction
categories were
unequal lengths of
time
Waldrop &
Meeker,
2012
Buffalo,
NY,
U.S.A
This study
explored the
process of
decision making
about hospice
enrollment and
identified
factors that
influence the
timing of that
decision.
Exploratory,
descriptive,
retrospective,
cross-sectional
design
Semi structured
interviews were
conducted with 36
hospice patients
and 55 caregivers
after 2 weeks of
hospice care.
Unexpected
differences were
found by diagnosis
(cancer vs. other
chronic illness)
The theme of
“prognostic
eligibility”
illustrates the
common belief
that hospice is
only available for
people who have
cancer.
The preliminary
finding of
difference in
decision making
Purposeful
sampling
Does not know
how perceptions
may change over
time
Low participation
176
between people
with cancer and
other chronic
illnesses suggests
the need for
further focused
exploration of the
differences in
decision making in
congestive heart
failure, COPD,
and
neurodegenerative
disorders.
Study Location Objective Design Methods Findings Limitations
Waldrop &
Meeker,
2009
Phase I: to
observe hospice
team
communication
about patient
and family care.
Phase II to
gather hospice
professionals’
perspectives on
the appropriate
time for
admission and
on their
Ethnography
Ethnography of
team meetings
informed the
development of
questions for focus
groups and written
follow-up surveys
with 53 hospice
professionals.
Timely hospice
referrals were
conceptualized as
involving
Three interrelated
elements: (a)
terminal
prognosis, (b)
specific terminal
characteristics, and
(c) actual time.
Professionals
were from one
hospice
Perspectives were
professional staff
and not
physicians,
patients or
families
At one point in
time
(Longitudinal
might show
differing results)
177
communication
with physicians,
patients, and
families about
the transition to
end-of-life care.
Welch,
Miller,
Martin &
Nanda, 2008.
This study
sought to
understand
factors
influencing
hospice referral
or non-referral
as well as
timing of
referral.
Qualitative
Retrospective
Semi structured
interviews with
personnel from
seven participating
NHs and two
hospices. 34 NH
nurses, 30 NH
aides, and 17
hospice nurses
about 32 decedents
Nurses and aides
play a crucial role
in whether
residents receive
hospice care at the
end of their lives
and for how long
that care is
received. Results
show that skills in
recognizing
terminal decline,
beliefs about
hospice services,
and initiative in
raising the option
of hospice are
decisive factors.
Depended on the
memory/recall of
the professional
staff about
deceased patients
Sample size small
178
Appendix E
You are invited to participate in this important research!
We are recruiting Palliative Care Nurses (RN’s) who have a minimum of 1
year experience working in any sector of the AHS Palliative Care Program.
You will have the opportunity to be observed and to share your experiences
in 1:1 interviews. We are interested in your work with individuals at end of
life with chronic illness who require your estimation of life remaining.
Are you a Palliative Care Nurse working in the Alberta Health Services
Palliative Care Program?
Would you like to participate in research to better understand the
experiences of Palliative Care Nurses in their work of estimating life
remaining for patients with chronic illness?
Research Participants Needed
Palliative Care Nurses’ Experiences in
Prognostication
For Information Contact Angela Ferguson
(PhD Student) [email protected]
[email protected] Ethics ID: REB16-0401
This study has been approved by the University of Calgary Conjoint Health Research Ethics Board PI: Dr. Shelley Raffin Bouchal [email protected] 403-220-6258 Ethics ID: REB16-0401
179
Appendix F
Consent form for Interview
TITLE: Prognosticating in non-malignant illness: Experiences and processes of Palliative Care
Nurses
INVESTIGATORS:
Dr. Shelley Raffin Bouchal
University of Calgary, Faculty of Nursing
Associate Professor, Associate Dean (Graduate Programs)
(403) 220-6258
Angela Ferguson, RN, MA (Doctoral student)
University of Calgary, Faculty of Nursing
PhD Program
(403)
This consent form is only part of the process of informed consent. It should give you the basic
idea of what the research is about and what your participation will involve. If you would like
more detail about something mentioned here, or information not included here, please ask. Take
the time to read this carefully and to understand any accompanying information. You will
receive a copy of this form.
BACKGROUND
Palliative Care Nurses (PCN) serve as integral members of Hospice Palliative Care teams across
Canada. A central component of the PCN professional practice that is unique in Nursing is their
work of prognostication across care settings. Estimating the length of life remaining in patients
in Palliative Care is a pivotal decision making activity. It guides care conversations, care
decisions, and care pathways, including transition choices such as application for hospice care.
Prognosticating for non-malignant illness is considered in the literature as more complex than for
malignant illness. Little is known about the experiences and processes of prognostication by
PCN for individuals with non-malignant illness.
WHAT IS THE PURPOSE OF THE STUDY?
The purpose of this study is to discover and theorize how Palliative Care Nurses experience the
work of prognostication in the context of non-malignant illness. What processes guide the
prognostic work of PCN in determining location of palliation? What supports are needed for the
180
individual at end of life? This research will serve to add to our understanding of this unique work
undertaken by PCN that greatly impacts palliative patients across sectors.
WHAT WOULD I HAVE TO DO?
You would be an eligible participant if you currently practice as a Palliative Care Nurse in any
department of the AHS Palliative Care Program with at least 1 year full-time equivalency of
experience. If you take part in the study Angela Ferguson will interview you about your
experiences.
The interview is expected to last from 1 to 1.5 hours in duration and will be held at the location
of your choice, at a mutually agreeable time. You may be asked to participate in an additional
interview. The interviews will be tape recorded and later transcribed. (typed out word for word).
WHAT ARE THE RISKS?
There is little risk to you in taking part in this study. It is possible that you may remember
unpleasant experiences about a patient’s illness/death during the interview. Should you
experience distress during the interview and believe you could benefit from support, Angela can
refer you to a variety of counselling services. One example of such support is the AHS Employee
Assistance Program.
All responses by the participants of this study are confidential. A fake name (pseudonym) will be
assigned to each participant and used in any written information, publication or presentation of
the study results. There is a small risk that something you said may be recognized by other
nurses in the quoted material used in publications or teaching. Angela will make every attempt to
use quotations in a manner which does not reveal your identity.
WILL I BENEFIT IF I TAKE PART?
If you agree to participate in this study there may or may not be a direct benefit to you. The
information we get from this study may help us to support PCN provide better prognostication
for individuals with non-malignant illness in the future.
DO I HAVE TO PARTICIPATE?
No, you have no obligation to participate in this study. All participation in this study is
voluntary. You can stop your participation in the interview(s) at any time. You can withdraw
from the study at any time up to when the data analysis occurs. Once data analysis starts there is
no means to separate your information from other participants in its entirety.
You can withdraw from the study by:
• Contacting the Primary Investigator (Dr. Raffin Bouchal) or Doctoral Student (Angela
Ferguson) with your decision to withdraw;
• By not attending, cancelling your interview appointments;
181
• By stopping the interview and advising the researcher that you cannot stay, wish to leave
and or withdraw from this study. In the event that you withdraw from the study, any
information from your interview will be destroyed and not used in the study.
•
WILL I BE PAID FOR PARTICIPATING, OR DO I HAVE TO PAY FOR ANYTHING?
You will not be paid to participate in this study nor do you have to pay for anything.
WILL MY RECORDS BE KEPT PRIVATE?
Yes, your records will be kept private on a password protected computer. All identifying
information such as name, location of work will be stripped from the data. The interview is
confidential and your name will be replaced by a pseudonym (fake name). The exception would
be if there was an urgent risk to self or others that would need to be reported. In this case, the
appropriate legal authority would be contacted. Written and audio recordings of the interviews
will be kept in a locked cabinet at the University of Calgary. Written transcripts will be kept for
5 years and then destroyed. Audio tapes will be erased when the study is complete. The research
team will see the completed transcripts. It is possible that the University of Calgary Conjoint
Health Research Ethics Board will look at the information for audit purposes.
IF I SUFFER A RESEARCH-RELATED INJURY, WILL I BE COMPENSATED?
In the event that you suffer injury as a result of participating in this research, no compensation
will be provided to you by the University of Calgary, Alberta Health Services or the Researchers.
You still have all your legal rights. Nothing said in this consent form alters your right to seek
damages.
SIGNATURES
Your signature on this form indicates that you have understood to your satisfaction the
information regarding your participation in the research project and agree to participate as a
participant. In no way does this waive your legal rights nor release the investigators or involved
institutions from their legal and professional responsibilities. You are free to withdraw from the
study at any time without jeopardizing your health care. If you have further questions concerning
matters related to this research, please contact:
Dr. Shelley Raffin (403) 220-6258
Or
Angela Ferguson (403)
If you have any questions concerning your rights as a possible participant in this research, please
contact the Chair, Conjoint Health Research Ethics Board, University of Calgary at 403-220-
7990.
182
Participant’s Name Signature and Date
Investigator/Delegate’s Name Signature and Date
Witness’ Name Signature and Date
The University of Calgary Conjoint Health Research Ethics Board has approved this research
study.
A signed copy of this consent form has been given to you to keep for your records and reference.
183
Appendix G
Consent form for Observation
TITLE: Prognosticating in non-malignant illness: Experiences and
processes of Palliative Care Nurses.
INVESTIGATORS:
Dr. Shelley Raffin Bouchal
University of Calgary, Faculty of Nursing
Associate Professor, Associate Dean (Graduate Programs)
(403) 220-6258
Angela Ferguson, RN, MA (Doctoral student)
University of Calgary, Faculty of Nursing
PhD Program
(403)
This consent form is only part of the process of informed consent. It should give you the basic
idea of what the research is about and what your participation will involve. If you would like
more detail about something mentioned here, or information not included here, please ask. Take
the time to read this carefully and to understand any accompanying information. You will
receive a copy of this form.
BACKGROUND
Palliative Care Nurses (PCN) serve as integral members of Hospice Palliative Care teams across
Canada. A central component of the PCN professional practice that is unique in Nursing is their
work of prognostication across care settings.
Estimating the length of life remaining in patients in Palliative Care is a pivotal decision making
activity. It guides care conversations, care decisions, and care pathways, including transition
choices such as application for hospice care. Prognosticating for non-malignant illness is
considered in the literature as more complex than for malignant illness. Little is known about the
experiences and processes of prognostication by PCN for individuals with non-malignant illness.
WHAT IS THE PURPOSE OF THE STUDY?
The purpose of this study is to discover and theorize how PCN experience the work of
prognostication in the context of non-malignant illness. What processes guide the prognostic
work of PCN in determining location of palliation? What supports are needed for the individual
at end of life? This research will serve to add to our professional understanding of this unique
work undertaken by PCN that greatly impacts palliative patients across sectors.
184
WHAT WOULD I HAVE TO DO?
You would be an eligible participant if you currently practice as a Palliative Care Nurse in any
department of the AHS Palliative Care Program with at least 1 year full-time equivalency of
experience. If you take part in the study Angela Ferguson will observe you with your chronically
ill, end-of-life patient, in the context of estimating life remaining for care transitions.
The observation is expected to last from 1 to 1.5 hours in duration and will be held at the patient
location, at a mutually agreeable time. Verbal consent for the observation will be obtained from
the patient by the PCN prior to initiation. The PCN will confirm with the patient that the Nurse is
the focus of the observation and not the patient. Angela will be taking notes and observing in the
least intrusive manner as possible.
WHAT ARE THE RISKS?
There is little risk to you in taking part in this study. It is possible that you may remember
unpleasant experiences about a patient’s illness/death during the observation. Should you
experience distress during the observation and believe you could benefit from support, Angela
can refer you to a variety of counselling services. One example of such support is the AHS
Employee Assistance Program.
All responses by the participants of this study are confidential. A fake name (pseudonym) will be
assigned to each participant and used in any written information, publication or presentation of
the study results. There is a small risk that something you said may be recognized by other
nurses in the quoted material used in publications or teaching. Angela will make every attempt to
use quotations in a manner which does not reveal your identity.
WILL I BENEFIT IF I TAKE PART?
If you agree to participate in this study there may or may not be a direct benefit to you. The
information we get from this study may help us to support PCN provide better prognostication
for individuals with non-malignant illness in the future.
DO I HAVE TO PARTICIPATE?
No, you have no obligation to participate in this study. All participation in this study is
voluntary. You can stop your participation in the observation at any time. You can withdraw
from the study at any time up to when the data analysis occurs. Once data analysis starts there is
no means to separate your information from other participants in its entirety.
You can withdraw from the study by:
• Contacting the Primary Investigator (Dr. Raffin Bouchal) or Doctoral Student (Angela
Ferguson) with your decision to withdraw;
• By not attending, cancelling your observation appointment;
• By stopping the observation and advising the researcher that you cannot stay, wish to
leave and or withdraw from this study. In the event that you withdraw from the study, any
information from your observation will be destroyed and not used in the study.
185
WILL I BE PAID FOR PARTICIPATING, OR DO I HAVE TO PAY FOR ANYTHING?
You will not be paid to participate in this study nor do you have to pay for anything.
WILL MY RECORDS BE KEPT PRIVATE?
Yes, your records will be kept private on a password protected computer. All identifying
information such as name, location of work will be stripped from the data. The observation is
confidential and your name will be replaced by a pseudonym (fake name). The exception would
be if there was an urgent risk to self or others is reported. In this case, the appropriate legal
authority would be contacted. Written and audio recordings of the observation will be kept in a
lock cabinet at the University of Calgary. Written transcripts will be kept for 5 years and then
destroyed. Audio tapes will be erased when the study is complete. The research team will see the
completed transcripts. It is possible that the University of Calgary Conjoint Health Research
Ethics Board will look at the information for audit purposes.
IF I SUFFER A RESEARCH-RELATED INJURY, WILL I BE COMPENSATED?
In the event that you suffer injury as a result of participating in this research, no compensation
will be provided to you by the University of Calgary, Alberta Health Services or the Researchers.
You still have all your legal rights. Nothing said in this consent form alters your right to seek
damages.
SIGNATURES
Your signature on this form indicates that you have understood to your satisfaction the
information regarding your participation in the research project and agree to participate as a
participant. In no way does this waive your legal rights nor release the investigators or involved
institutions from their legal and professional responsibilities. You are free to withdraw from the
study at any time without jeopardizing your health care. If you have further questions concerning
matters related to this research, please contact:
Dr. Shelley Raffin (403) 220-6258
Or
Angela Ferguson (403)
If you have any questions concerning your rights as a possible participant in this research, please
contact the Chair, Conjoint Health Research Ethics Board, University of Calgary at 403-220-
7990.
186
Participant’s Name Signature and Date
Investigator/Delegate’s Name Signature and Date
Witness’ Name Signature and Date
The University of Calgary Conjoint Health Research Ethics Board has approved this research
study.
A signed copy of this consent form has been given to you to keep for your records and reference.
187
Appendix H
Unstructured Interview & Interview questions:
Pre-interview: observation notes for post-interview memo writing
Introduction
• Explanation of the aim of the interview
• Who I am, what I am doing
• Review anonymity and confidentiality and their ability to stop the interview at any time
• Explain what will happen to any findings
• Length of the interview
Warm up questions
• How long have you been in Palliative Care?
• How long have you been in your current role?
• What are a few of your role responsibilities?
As you are aware I am really curious about the practice of prognostication (and how the process
unfolds) that is regularly a part of the palliative care professionals experience on a regular basis
in the context of care placement. As we work through these questions please share stories and
offer any examples, without of course using patient’s names.
Tell me about a time when you were called upon to prognosticate for a patient with a non-
malignant (chronic disease).
What things do you consider when prognosticating for a patient with non-malignant disease?
From your perspective, tell me about the Palliative Performance Scale (tool) and how it assists
you with prognosticating for a patient with non-malignant disease.
Given your experience, tell me about known disease trajectories and how they assist you with
prognosticating for a patient with non-malignant disease.
In your experience, do you have any suggestions as to how we could be better at prognosticating
for non-malignant populations?
Cool down question: Is there anything you had hoped I would ask?
Closure question: Is there anything additional you would like to share?
**Off the record time/ Post-Interview: Field notes & Thoughts/memos
188
Appendix I
Participant Demographics
46%
18%
27%
9%
Years of Palliative Care Experience
5-14 years 15-20 years
20-30 years >30 years
189
Appendix J
The overarching categories and subcategories derived from the study data
Finding One
Category: Cognitive (Thinking) Factors
The ‘what’ or ‘mind’ of prognostication as an intellectual process of knowing, understanding and
thinking.
• Death awareness of others
• Questioning self
• Fallibility
• Perception of chronic diseases
• Describing chronic diseases metaphorically
Finding Two
Category: Affective (Emotion) Factors
The ‘why’ or ‘heart’ of prognostication as the connection of knowledge and motivation with
action.
• Wonder
• Intuition
• Anticipating dying and preparing the patient and family
• Supporting symptoms and quality of life
Finding Three
Category: Conative (Volition)
The ‘how’ or ‘process’ of prognostication as the identified undertaken actions followed by
participants.
• Knowing
• Assessing
• Trending
• Predicting
• Pronouncing