Appendix 1. PRISMA-ScR checklist - BMJ Open
-
Upload
khangminh22 -
Category
Documents
-
view
1 -
download
0
Transcript of Appendix 1. PRISMA-ScR checklist - BMJ Open
Appendix 1. PRISMA-ScR checklist
Section PRISMA-ScR Guideline Checklist
Title Identify the report as a scoping review ✓Abstract Structured summary
Provide a structured summary that includes (as applicable) background, objectives, eligibility criteria, sources of evidence, charting methods, results, and conclusions that relate to the review questions and objectives.
✓
Introduction Rationale Describe the rationale for the review in the context of what is already known.
Explain why the review questions/objectives lend themselves to a scoping review approach.
✓
Objectives Provide an explicit statement of the questions and objectives being addressed with reference to their key elements (e.g., population or participants, concepts, and context) or other relevant key elements used to conceptualize the review questions and/or objectives.
✓
Methods Protocol and registration
Indicate whether a review protocol exists; state if and where it can be accessed (e.g., a Web address); and if available, provide registration information, including the registration number.
✓
Eligibility criteria Specify characteristics of the sources of evidence used as eligibility criteria (e.g., years considered, language, and publication status), and provide a rationale.
✓
Information sources Describe all information sources in the search (e.g., databases with dates of coverage and contact with authors to identify additional sources), as well as the date the most recent search was executed.
✓
Search Present the full electronic search strategy for at least 1 database, including any limits used, such that it could be repeated.
✓ (Appendix 2)
Selection of sources of evidence
State the process for selecting sources of evidence (i.e., screening and eligibility) included in the scoping review.
✓ Data charting process Describe the methods of charting data from the included sources of evidence
(e.g., calibrated forms or forms that have been tested by the team before their use, and whether data charting was done independently or in duplicate) and any processes for obtaining and confirming data from investigators.
✓
Data items List and define all variables for which data were sought and any assumptions and simplifications made.
✓ Critical appraisal of individual sources of evidence
If done, provide a rationale for conducting a critical appraisal of included sources of evidence; describe the methods used and how this information was used in any data synthesis (if appropriate).
Not applicable
Synthesis of results Describe the methods of handling and summarizing the data that were charted. ✓Results Selection of sources of evidence
Give numbers of sources of evidence screened, assessed for eligibility, and included in the review, with reasons for exclusions at each stage, ideally using a flow diagram.
✓
Characteristics of sources of evidence
For each source of evidence, present characteristics for which data were charted and provide the citations.
✓ (Appendix 4)
Critical appraisal within sources of evidence
If done, present data on critical appraisal of included sources of evidence (see item 12).
Not applicable
Results of individual sources of evidence
For each included source of evidence, present the relevant data that were charted that relate to the review questions and objectives.
✓ (Appendix 4)
Synthesis of results Summarize and/or present the charting results as they relate to the review questions and objectives.
✓Discussion Summary of evidence Summarize the main results (including an overview of concepts, themes, and
types of evidence available), link to the review questions and objectives, and consider the relevance to key groups.
✓
Limitations Discuss the limitations of the scoping review process. ✓ Conclusions Provide a general interpretation of the results with respect to the review
questions and objectives, as well as potential implications and/or next steps. ✓
Funding Describe sources of funding for the included sources of evidence, as well as sources of funding for the scoping review. Describe the role of the funders of the scoping review.
✓ (Appendix 4a)
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Appendix 2. Search strings used for retrieving relevant articles
Database Search String
Medline (OVID) ((precision or personali* or individuali* or stratif* or Tailo*) adj health).ti. or ((precision or personali* or individuali* or stratif* or Tailo*) adj health).ab.
APA PsycInfo (OVID)
((precision or personali* or individuali* or stratif* or Tailo*) adj health).ti. or ((precision or personali* or individuali* or stratif* or Tailo*) adj health).ab.
Scopus ( TITLE ( ( precision OR personali* OR individuali* OR stratif* OR tailo* ) PRE/0 health ) OR ABS ( ( precision OR personali* OR individuali* OR stratif* OR tailo* ) PRE/0 health ) )
Embase (((precision OR personali* OR individuali* OR stratif* OR tailo*) NEXT/1 health):ti) OR (((precision OR personali* OR individuali* OR stratif* OR tailo*) NEXT/1 health):ab)
Web of Science TI=((precision OR personali* OR individuali* OR stratif* OR tailo*) NEAR/0 health) OR AB=((precision OR personali* OR individuali* OR stratif* OR tailo*) NEAR/0 health)
Grey literature (Google Scholar)
allintitle: "precision health" OR "personalised health" OR "personalized health" OR "individualised health" OR "individualized health" OR "stratified health" OR "tailored health"
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Appendix 3. Alphabetical list of included studies in the scoping review (n=225)
1. Abbott L, Gordon Schluck G, Graven L, Martorella G. Exploring the intervention effect moderators of a cardiovascular health promotion study among rural African-Americans. Public health nursing (Boston, Mass). 2018;35(2):126-34.
2. Adams RJ, Sadasivam RS, Balakrishnan K, Kinney RL, Houston TK, Marlin BM. PERSPeCT: Collaborative filtering for tailored health communications. RecSys - Proc ACM Conf Recomm Syst. 2014:329-32.
3. Afzal M, Ali SI, Ali R, Hussain M, Ali T, Khan WA, et al. Personalization of wellness recommendations using contextual interpretation. Expert Sys Appl. 2018;96:506-21.
4. Ahmed MU. A personalized health-monitoring system for elderly by combining rules and case-based reasoning. Studies in health technology and informatics. 2015;211(ck1, 9214582):249-54.
5. Ahola R, Pyky R, Jamsa T, Mantysaari M, Koskimaki H, Ikaheimo TM, et al. Gamified physical activation of young men--a Multidisciplinary Population-Based Randomized Controlled Trial (MOPO study). BMC Public Health. 2013;13(100968562):32.
6. Almeida FA, Michaud TL, Wilson KE, Schwab RJ, Goessl C, Porter GC, et al. Preventing diabetes with digital health and coaching for translation and scalability (PREDICTS): A type 1 hybrid effectiveness-implementation trial protocol. Contemp Clin Trials. 2020;88(101242342):105877.
7. An LC, Demers MRS, Kirch MA, Considine-Dunn S, Nair V, Dasgupta K, et al. A randomized trial of an avatar-hosted multiple behavior change intervention for young adult smokers. Journal of the National Cancer Institute Monographs. 2013;2013(47):209-15.
8. Anderson DJ, Seib C, McCarthy AL, Yates P, Porter-Steele J, McGuire A, et al. Facilitating lifestyle changes to manage menopausal symptoms in women with breast cancer: a randomized controlled pilot trial of The Pink Women's Wellness Program. Menopause (New York, NY). 2015;22(9):937-45.
9. Ant Ozok A, Wu H, Garrido M, Pronovost PJ, Gurses AP. Usability and perceived usefulness of Personal Health Records for preventive health care: a case study focusing on patients' and primary care providers' perspectives. Appl Ergon. 2014;45(3):613-28.
10. Archibald C. Cultural tailoring for an Afro-Caribbean community: a naturalistic approach. Journal of cultural diversity. 2011;18(4):114-9.
11. Arens JH, Hauth W, Weissmann J. Novel App- and Web-Supported Diabetes Prevention Program to Promote Weight Reduction, Physical Activity, and a Healthier Lifestyle: Observation of the Clinical Application. Journal of diabetes science and technology. 2018;12(4):831-8.
12. Atack L, Luke R. The impact of validated, online health education resources on patient and community members' satisfaction and health behaviour. Health Educ J. 2012;71(2):211-8.
13. Atzmueller M, Hayat N, Trojahn M, Kroll D. Explicative human activity recognition using adaptive association rule-based classification. IEEE Int Conf Future IoT Technol, Future IoT. 2018;2018-January:1-6.
14. Avery KNL, Richards HS, Portal A, Reed T, Harding R, Carter R, et al. Developing a real-time electronic symptom monitoring system for patients after discharge following cancer-related surgery. BMC Cancer. 2019;19(1):463.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
15. Ayres K, Conner M, Prestwich A, Hurling R, Cobain M, Lawton R, et al. Exploring the question-behaviour effect: randomized controlled trial of motivational and question-behaviour interventions. Br J Health Psychol. 2013;18(1):31-44.
16. Badawi H, Eid M, El Saddik A. A real-time biofeedback health advisory system for children care. Proc IEEE Int Conf Multimedia Expo Workshops, ICMEW. 2012:429-34.
17. Bannink R, Joosten-van Zwanenburg E, van de Looij-Jansen P, van As E, Raat H. Evaluation of computer-tailored health education ('E-health4Uth') combined with personal counselling ('E-health4Uth + counselling') on adolescents' behaviours and mental health status: design of a three-armed cluster randomised controlled trial. BMC Public Health. 2012;12(100968562):1083.
18. Bariya M, Shahpar Z, Park H, Sun J, Jung Y, Gao W, et al. Roll-to-Roll Gravure Printed Electrochemical Sensors for Wearable and Medical Devices. ACS Nano. 2018;12(7):6978-87.
19. Barnes R, Votova K, Rahimzadeh V, Osman N, Penn AM, Zawati MnH, et al. Biobanking for Genomic and Personalized Health Research: Participant Perceptions and Preferences. Biopreserv Biobank. 2020;18(3):204-12.
20. Barron JS, Finkelstein J. Feasibility of providing personalized health information to older adults and their caregivers. IEEE EMBS Spec Top Conf Point-Care (POC) Healthc Technol: Synergy Towards Better Global Healthc, PHT. 2013:232-5.
21. Bassett RL, Ginis KAM. Risky business: the effects of an individualized health information intervention on health risk perceptions and leisure time physical activity among people with spinal cord injury. Disabil Health J. 2011;4(3):165-76.
22. Batool R, Khan WA, Hussain M, Maqbool J, Afzal M, Lee S. Towards personalized health profiling in social network. Proc - Int Conf New Trends Inf Sci, Serv Sci Data Min (NISS, ICMIA NASNIT), ISSDM. 2012:760-5.
23. Bazdarevic SH, Cristea AI. How emotions stimulate people affected by cancer to use personalised health websites. Knowl Manage E-Learn. 2015;7(4):658-76.
24. Beckmann S, Lahmer S, Markgraf M, Meindl O, Rauscher J, Regal C, et al. Generic sensor framework enabling personalized healthcare. IEEE Life Sci Conf, LSC. 2018;2018-January:83-6.
25. Berks D, Hoedjes M, Raat H, Franx A, Looman CWN, Van Oostwaard MF, et al. Feasibility and effectiveness of a lifestyle intervention after complicated pregnancies to improve risk factors for future cardiometabolic disease. Pregnancy hypertension. 2019;15(101552483):98-107.
26. Bidargaddi N, Almirall D, Murphy S, Nahum-Shani I, Kovalcik M, Pituch T, et al. To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App. JMIR mHealth uHealth. 2018;6(11):e10123.
27. Blake H, Hussain B, Hand J, Rowlands D, Juma A, Evans C. Employee perceptions of a workplace HIV testing intervention. Int J Workplace Health Manag. 2018;11(5):333-48.
28. Blake-Lamb T, Boudreau AA, Matathia S, Tiburcio E, Perkins ME, Roche B, et al. Strengthening integration of clinical and public health systems to prevent maternal-child obesity in the First 1,000Days: A Collective Impact approach. Contemp Clin Trials. 2018;65(101242342):46-52.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
29. Borbolla D, Del Fiol G, Taliercio V, Otero C, Campos F, Martinez M, et al. Integrating personalized health information from MedlinePlus in a patient portal. Studies in health technology and informatics. 2014;205(ck1, 9214582):348-52.
30. Bosak KA, Papa VB, Brucks MG, Savage CR, Donnelly JE, Martin LE. Novel Biomarkers of Physical Activity Maintenance in Midlife Women: Preliminary Investigation. BioResearch Open Access. 2018;7(1):39-46.
31. Braun L, Stanguts C, Spitzer O, Hose L, Gunawan M, Kure CE, et al. A wellness program for cardiac surgery improves clinical outcomes. Adv Integr Med. 2014;1(1):32-7.
32. Brown RF, Davis R, Wilson Genderson M, Grant S, Cadet D, Lessard M, et al. African-American patients with cancer Talking About Clinical Trials (TACT) with oncologists during consultations: evaluating the efficacy of tailored health messages in a randomised controlled trial-the TACT study protocol. BMJ open. 2016;6(12):e012864.
33. Brown RF, Muller TR, Olsen A. Australian women's cervical cancer screening attendance as a function of screening barriers and facilitators. Social science & medicine (1982). 2019;220(ut9, 8303205):396-402.
34. Cappelletti ER, Kreuter MW, Boyum S, Thompson T. Basic needs, stress and the effects of tailored health communication in vulnerable populations. Health Educ Res. 2014;30(4):591-8.
35. Chang AK, Park Y-H, Fritschi C, Kim MJ. A family involvement and patient-tailored health management program in elderly Korean stroke patients' day care centers. Rehabilitation nursing : the official journal of the Association of Rehabilitation Nurses. 2015;40(3):179-87.
36. Chen L, Xu J, Zhang L, Xue Y. Big data analytic based personalized air quality health advisory model. IEEE Int Conf Autom Sci Eng. 2017;2017-August:88-93.
37. Chen YJ, Wang JK, Liu CY, Yang CY, Chiang YT, Chen CW. Healthcare needs and quality of life in youths with congenital heart disease: Health-promoting behaviors as a mediator. Journal of pediatric nursing. 2019((Chen Y.-J.) Department of Nursing, KK Women's and Children's Hospital, Singapore(Wang J.-K.) Department of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan(Liu C.-Y.) Department of Speech Language Pathology and Audiology, National Taipei U).
38. Chen Z, Geng J, Wang M, Hu L, de Melo Ghisi GL, Yu H. The Chinese version of the Coronary Artery Disease Education Questionnaire-II (CADEQ-II): translation and validation. Patient Prefer Adherence. 2018;12(101475748):1587-96.
39. Chiang PH, Dey S. Offline and Online Learning Techniques for Personalized Blood Pressure Prediction and Health Behavior Recommendations. IEEE Access. 2019;7:130854-64.
40. Chua HF, Ho SS, Jasinska AJ, Polk TA, Welsh RC, Liberzon I, et al. Self-related neural response to tailored smoking-cessation messages predicts quitting. Nat Neurosci. 2011;14(4):426-7.
41. Colkesen EB, Ferket BS, Tijssen JGP, Kraaijenhagen RA, van Kalken CK, Peters RJG. Effects on cardiovascular disease risk of a web-based health risk assessment with tailored health advice: a follow-up study. Vascular health and risk management. 2011;7(101273479):67-74.
42. Cortese J, Lustria MLA. Can tailoring increase elaboration of health messages delivered via an adaptive educational site on adolescent sexual health and decision making? J Am Soc Inf Sci Technol. 2012;63(8):1567-80.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
43. Cote J, Cossette S, Ramirez-Garcia P, De Pokomandy A, Worthington C, Gagnon M-P, et al. Evaluation of a Web-based tailored intervention (TAVIE en sante) to support people living with HIV in the adoption of health promoting behaviours: an online randomized controlled trial protocol. BMC Public Health. 2015;15(100968562):1042.
44. Crosby LE, Joffe NE, Irwin MK, Strong H, Peugh J, Shook L, et al. School Performance and Disease Interference in Adolescents with Sickle Cell Disease. Physical disabilities : education and related services. 2015;34(1):14-30.
45. D'Addario M, Cappelletti ER, Sarini M, Greco A, Steca P. The TTCYB Study Protocol: A Tailored Print Message Intervention to Improve Cardiovascular Patients' Lifestyles. Int J Environ Res Public Health. 2020;17(8).
46. De Gagne JC, Oh J, So A, Haidermota M, Lee S-Y. A Mixed Methods Study of Health Care Experience Among Asian Indians in the Southeastern United States. Journal of transcultural nursing : official journal of the Transcultural Nursing Society. 2015;26(4):354-64.
47. de Souto Barreto P, Lapeyre-Mestre M, Vellas B, Rolland Y. Indicators of influenza and pneumococcal vaccination in French nursing home residents in 2011. Vaccine. 2014;32(7):846-51.
48. de Vries H, Logister M, Krekels G, Klaasse F, Servranckx V, van Osch L. Internet based computer tailored feedback on sunscreen use. Journal of medical Internet research. 2012;14(2):e48.
49. Devaux Y, Dankiewicz J, Salgado-Somoza A, Stammet P, Collignon O, Gilje P, et al. Association of Circulating MicroRNA-124-3p Levels With Outcomes After Out-of-Hospital Cardiac Arrest: A Substudy of a Randomized Clinical Trial. JAMA Cardiol. 2016;1(3):305-13.
50. Donovan E, Chiauzzi E, Floyd DL, Bond K, Wood M. The Feasibility of an Online Health Program for Community College Students. Community Coll J Res Pract. 2012;36(9):637-55.
51. Doove LL, Van Deun K, Dusseldorp E, Van Mechelen I. QUINT: A tool to detect qualitative treatment-subgroup interactions in randomized controlled trials. Psychotherapy research : journal of the Society for Psychotherapy Research. 2016;26(5):612-22.
52. Dos Santos CS, Picoito J, Loureiro I, Nunes C. Clustering of health-related behaviours and its relationship with individual and contextual factors in Portuguese adolescents: results from a cross-sectional study. BMC Pediatr. 2020;20(1):247.
53. Doyle J, Walsh L, Sassu A, McDonagh T. Designing a wellness self-management tool for older adults - Results from a field trial of YourWellness. Proc - PERVASIVEHEALTH: Int Conf Pervasive Comput Technol Healthc. 2014:134-41.
54. Drake C, Meade C, Hull SK, Price A, Snyderman R. Integration of Personalized Health Planning and Shared Medical Appointments for Patients with Type 2 Diabetes Mellitus. SouthMedJ. 2018;111(11):674-82.
55. Dreer LE, Owsley C, Campbell L, Gao L, Wood A, Girkin CA. Feasibility, Patient Acceptability, and Preliminary Efficacy of a Culturally Informed, Health Promotion Program to Improve Glaucoma Medication Adherence among African Americans: " G laucoma Management O ptimism for A frican Americans L iving with Glaucoma. Curr Eye Res. 2016;41(1):50-8.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
56. Drost M, Tiersma Y, Glubb D, Kathe S, van Hees S, Calleja F, et al. Two integrated and highly predictive functional analysis-based procedures for the classification of MSH6 variants in Lynch syndrome. Genetics in medicine : official journal of the American College of Medical Genetics. 2020;22(5):847-56.
57. Drozdovska S, Andrieieva O, Yarmak O, Blagii O. Personalization of health-promoting fitness programs for young women based on genetic factors. J Phys Educ Sport. 2020;20:331-7.
58. Elbert SP, Dijkstra A, Oenema A. A Mobile Phone App Intervention Targeting Fruit and Vegetable Consumption: The Efficacy of Textual and Auditory Tailored Health Information Tested in a Randomized Controlled Trial. Journal of medical Internet research. 2016;18(6):e147.
59. Engel J, Blanchet L, Engelke UFH, Wevers RA, Buydens LMC. Towards the disease biomarker in an individual patient using statistical health monitoring. PLoS One. 2014;9(4):e92452.
60. Enwald H, Hirvonen N, Korpelainen R, Huotari ML. Young men's perceptions of fear appeal versus neutral health messages: associations with everyday health information literacy, education, and health. Inf Res. 2015;20(1):12.
61. Enwald HPK, Kortelainen T, Leppäluoto J, Keinänen-Kiukaanniemi D, Jämsä T, Oinas-Kukkonen H, et al. Perceptions of fear appeal and preferences for feedback in tailored health communication: An explorative study among pre-diabetic individuals. Inf Res. 2013;18(3).
62. Enwald HPK, Niemela RM, Keinanen-Kiukaanniemi S, Leppaluoto J, Jamsa T, Herzig K-H, et al. Human information behaviour and physiological measurements as a basis to tailor health information. An explorative study in a physical activity intervention among prediabetic individuals in Northern Finland. Heatlth Info Libr J. 2012;29(2):131-40.
63. Fadhil A, Wang Y, Reiterer H. Assistive Conversational Agent for Health Coaching: A Validation Study. Methods Inf Med. 2019;58(1):9-23.
64. Fan K, Aiello AE, Heller KA. Bayesian models for heterogeneous personalized health data. arXiv preprint arXiv:150900110. 2015.
65. Fan X, Zhao Y, Wang H, Tsui KL. Forecasting one-day-forward wellness conditions for community-dwelling elderly with single lead short electrocardiogram signals. BMC Med Inform Decis Mak. 2019;19(1):285.
66. Faro JM, Orvek EA, Blok AC, Nagawa CS, McDonald AJ, Seward G, et al. Dissemination and Effectiveness of the Peer Marketing and Messaging of a Web-Assisted Tobacco Intervention: Protocol for a Hybrid Effectiveness Trial. JMIR RES Protoc. 2019;8(7):e14814.
67. Fayorsey RN, Wang C, Chege D, Reidy W, Syengo M, Owino SO, et al. Effectiveness of a Lay Counselor-Led Combination Intervention for Retention of Mothers and Infants in HIV Care: A Randomized Trial in Kenya. Journal of acquired immune deficiency syndromes (1999). 2019;80(1):56-63.
68. Ferrao JL, Mendes JM, Painho M. Modelling the influence of climate on malaria occurrence in Chimoio Municipality, Mozambique. Parasites Vectors. 2017;10(1):260.
69. Ferrer RA, Lipkus IM, Cerully JL, McBride CM, Shepperd JA, Klein WMP. Developing a scale to assess health regulatory focus. Social science & medicine (1982). 2017;195(ut9, 8303205):50-60.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
70. Fucito LM, Hanrahan TH. Heavy-Drinking Smokers' Treatment Needs and Preferences: A Mixed-Methods Study. J Subst Abus Treat. 2015;59(kai, 8500909):38-44.
71. Gamp M, Renner B. Pre-Feedback Risk Expectancies and Reception of Low-Risk Health Feedback: Absolute and Comparative Lack of Reassurance. Applied psychology Health and well-being. 2016;8(3):364-85.
72. Gany F, Levy A, Basu P, Misra S, Silberstein J, Bari S, et al. Culturally tailored health camps and cardiovascular risk among South Asian immigrants. J Health Care Poor Underserved. 2012;23(2):615-25.
73. Gatwood J, Shuvo S, Ross A, Riordan C, Smith P, Gutierrez ML, et al. The Management of Diabetes in Everyday Life (MODEL) program: development of a tailored text message intervention to improve diabetes self-care activities among underserved African-American adults. Translational behavioral medicine. 2020;10(1):204-12.
74. Ghahari RR, Holden RJ, Flanagan ME, Wagner S, Martin E, Ahmed R, et al. Using cardiac implantable electronic device data to facilitate health decision making: A design study. Int J Ind Ergon. 2018;64(Abedtash, H., & Holden, R.J. (2017). Systematic review of the effectiveness of health-related behavioral interventions using portable activity sensing devices (PASDs). http://dx.doi.org/10.1093/jamia/ocx006Ahmad, M., Bloomstein, L., Roelke, M., Bernstein):143-54.
75. Gholizadeh L, Digiacomo M, Salamonson Y, Davidson PM. Stressors influencing Middle Eastern women's perceptions of the risk of cardiovascular disease: a focus group study. Health Care Women Int. 2011;32(8):723-45.
76. Gilmore LA, Klempel MC, Martin CK, Myers CA, Burton JH, Sutton EF, et al. Personalized Mobile Health Intervention for Health and Weight Loss in Postpartum Women Receiving Women, Infants, and Children Benefit: A Randomized Controlled Pilot Study. Journal of women's health (2002). 2017;26(7):719-27.
77. Ginsburg OM, Fischer HD, Shah BR, Lipscombe L, Fu L, Anderson GM, et al. A population-based study of ethnicity and breast cancer stage at diagnosis in Ontario. Current oncology (Toronto, Ont). 2015;22(2):97-104.
78. Gonzales MJ, Riek LD. Co-designing patient-centered health communication tools for cancer care. Proc Int Conf Pervasive Comput Technol Healthc Workshops, PervasiveHealth. 2013:208-15.
79. Goodman JR, Theis R, Shenkman E. Communicating with underserved audiences: Focus group findings from two studies testing messages with low-income Hispanic, African-American and White audiences. Int J Pharm Healthc Mark. 2017;11(2):133-50.
80. Gordon TF, Bass SB, Ruzek SB, Wolak C, Rovito MJ, Ruggieri DG, et al. Developing a typology of African Americans with limited literacy based on preventive health practice orientation: implications for colorectal cancer screening strategies. J Health Commun. 2014;19(11):1259-77.
81. Gray KM, Clarke K, Alzougool B, Hines C, Tidhar G, Frukhtman F. Internet protocol television for personalized home-based health information: design-based research on a diabetes education system. JMIR RES Protoc. 2014;3(1):e13.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
82. Guiñazú MF, Cortés V, Ibáñez CF, Velásquez JD. Employing online social networks in precision-medicine approach using information fusion predictive model to improve substance use surveillance: A lesson from Twitter and marijuana consumption. Inf Fusion. 2020;55:150-63.
83. Guo J. Smartphone-Powered Electrochemical Biosensing Dongle for Emerging Medical IoTs Application. IEEE Trans Ind Inf. 2018;14(6):2592-7.
84. Han W, Ye Y. A repository of microbial marker genes related to human health and diseases for host phenotype prediction using microbiome data. Pacific Symposium on Biocomputing Pacific Symposium on Biocomputing. 2019;24(cwq, 9711271):236-47.
85. Handley MA, Harleman E, Gonzalez-Mendez E, Stotland NE, Althavale P, Fisher L, et al. Applying the COM-B model to creation of an IT-enabled health coaching and resource linkage program for low-income Latina moms with recent gestational diabetes: the STAR MAMA program. Implementation science : IS. 2016;11(1):73.
86. Hardie EA. Australian community responses to the use of genetic testing for personalised health promotion. Aust J Psychol. 2011;63(2):119-29.
87. Haslam C, Kazi A, Duncan M, Twumasi R, Clemes S. Walking Works Wonders: A Workplace Health Intervention Evaluated Over 24 Months. Adv Intell Sys Comput. 2019;824:1571-8.
88. Haze KA, Lynaugh J. Building patient relationships: a smartphone application supporting communication between teenagers with asthma and the RN care coordinator. Computers, informatics, nursing : CIN. 2013;31(6):266-3.
89. Hernandez EM, Vuolo M, Frizzell LC, Kelly BC. Moving Upstream: The Effect of Tobacco Clean Air Restrictions on Educational Inequalities in Smoking Among Young Adults. Demography. 2019;56(5):1693-721.
90. Hollands GJ, Marteau TM. The impact of using visual images of the body within a personalized health risk assessment: an experimental study. Br J Health Psychol. 2013;18(2):263-78.
91. Hong YJ, Lee H, Kim J, Lee M, Choi HJ, Hyeon T, et al. Multifunctional Wearable System that Integrates Sweat-Based Sensing and Vital-Sign Monitoring to Estimate Pre-/Post-Exercise Glucose Levels. Adv Funct Mater. 2018;28(47).
92. Hors-Fraile S, Schneider F, Fernandez-Luque L, Luna-Perejon F, Civit A, Spachos D, et al. Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol. BMC Public Health. 2018;18(1):698.
93. Huang Y, Hsu CL, Tseng VS. PURL: Periodic user representation learning from temporal event records for personalized health management. Proc - IEEE Int Conf Big Data Smart Comput, BigComp. 2020:358-65.
94. Huang Z, Zhan X, Xiang S, Johnson TS, Helm B, Yu CY, et al. SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer. Front Genet. 2019;10(101560621):166.
95. Huh JH. Big data analysis for personalized health activities: Machine learning processing for automatic keyword extraction approach. Symmetry. 2018;10(4).
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
96. Hwang YC. An e-service design on stroke-precaution for elderly. IET Conf Publ. 2010;2010:336-41.
97. Jackson C, Lewis K, Conner M, Lawton R, McEachan RRC. Are incremental changes in physical activity and sedentary behaviours associated with improved employee health?: A 12-month prospective study in five organisations. Int J Workplace Health Manage. 2014;7(1):16-39.
98. Jacobs M, Johnson J, Mynatt ED. MyPath: Investigating breast cancer patients’ use of personalized health information. Proc ACM Hum Comput Interact. 2018;2(CSCW).
99. Jacobs RJ, Caballero J, Ownby RL, Kane MN. Development of a culturally appropriate computer-delivered tailored Internet-based health literacy intervention for Spanish-dominant Hispanics living with HIV. BMC Med Inform Decis Mak. 2014;14(101088682):103.
100. Jacobs RJ, Kane MN. Teaching disease self-management skills to older adults with multimorbid chronic conditions using mobile technology health education interventions. Iceri2016: 9th International Conference of Education, Research and Innovation. 2016:5607-18.
101. Jang K, Baek YM. How to effectively design public health interventions: Implications from the interaction effects between socioeconomic status and health locus of control beliefs on healthy dietary behaviours among US adults. Health & social care in the community. 2018(9306359).
102. Kampusch S, Kaniusas E, Thürk F, Felten D, Hofmann I, Széles JC. Device development guided by user satisfaction survey on auricular vagus nerve stimulation. Curr Dir Biomed Eng. 2016;2(1):593-7.
103. Kang M, Sung J. A genome-wide search for gene-by-obesity interaction loci of dyslipidemia in Koreans shows diverse genetic risk alleles S. J Lipid Res. 2019;60(12):2090-101.
104. Karatekin C, Ahluwalia R, Desir M. Tailoring health-related messages for young adults with adverse childhood experiences (ACEs). Child Abuse Negl. 2018;80(can, 7801702):194-202.
105. Karkar R, Zia J, Vilardaga R, Mishra SR, Fogarty J, Munson SA, et al. A framework for self-experimentation in personalized health. Journal of the American Medical Informatics Association : JAMIA. 2016;23(3):440-8.
106. Kasthurirathne SN, Grannis S, Halverson PK, Morea J, Menachemi N, Vest JR. Use of Patient and Population-Level Datasets to Identify Need of Wraparound Social Services: A Precision Health Enabled Machine Learning Approach. JMIR medical informatics. 2020(101645109).
107. Katariya S, Bose J, Reddy MV, Sharma A, Tappashetty S. A personalized health recommendation system based on smartphone calendar events. Lect Notes Comput Sci. 2018;10898 LNCS:110-20.
108. Kemp CL, Ball MM, Perkins MM. Individualization and the Health Care Mosaic in Assisted Living. The Gerontologist. 2019;59(4):644-54.
109. Kemp J, Moore K, Fransen M, Russell T, Freke M, Crossley KM. A pilot randomised clinical trial of physiotherapy (manual therapy, exercise, and education) for early-onset hip osteoarthritis post-hip arthroscopy. Pilot and feasibility studies. 2018;4(101676536):16.
110. Kemp JL, Moore K, Fransen M, Russell TG, Crossley KM. A phase II trial for the efficacy of physiotherapy intervention for early-onset hip osteoarthritis: study protocol for a randomised controlled trial. Trials. 2015;16(101263253):26.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
111. Kerrigan D, Sanchez Karver T, Muraleetharan O, Savage V, Mbwambo J, Donastorg Y, et al. "A dream come true": Perspectives on long-acting injectable antiretroviral therapy among female sex workers living with HIV from the Dominican Republic and Tanzania. PLoS One. 2020;15(6):e0234666.
112. Kessels LTE, Ruiter RAC, Brug J, Jansma BM. The effects of tailored and threatening nutrition information on message attention. Evidence from an event-related potential study. Appetite. 2011;56(1):32-8.
113. Khalilia M, Chakraborty S, Popescu M. Predicting disease risks from highly imbalanced data using random forest. BMC Med Inform Decis Mak. 2011;11(101088682):51.
114. Kim KJ, Shin DH, Yoon H. Information tailoring and framing in wearable health communication. Inf Process Manage. 2017;53(2):351-8.
115. Kim KM, Park KS, Lee HJ, Lee YH, Bae JS, Lee YJ, et al. Efficacy of a New Medical Information system, Ubiquitous Healthcare Service with Voice Inception Technique in Elderly Diabetic Patients. Sci Rep. 2015;5(101563288):18214.
116. Kitagawa R. Texting and Sexual Health: Experimental Evidence from an Information Intervention in Kenya. ACM Int Conf Proc Ser. 2015;15.
117. Kizakevich PN, Eckhoff R, Brown J, Tueller SJ, Weimer B, Bell S, et al. PHIT for Duty, a Mobile Application for Stress Reduction, Sleep Improvement, and Alcohol Moderation. Milit Med. 2018;183(suppl_1):353-63.
118. Kulyk O, Den Daas C, David S, Van Gemert-Pijnen L. How persuasive are serious games, social media and mHealth technologies for vulnerable young adults? Design factors for health behavior and lifestyle change support: Sexual health case. Third International Workshop on Behavior Change Support Systems (BCSS 2015). 2015;1369:28-42.
119. Lan GC, Lee CH, Lee YY, Tseng VS, Chin CY, Day ML, et al. Disease risk prediction by mining personalized health trend patterns: A case study on diabetes. Proc - Conf Technol Appl Artif Intell, TAAI. 2012:27-32.
120. Lee H-J, Kang K-J, Park S-H, Ju S-J, Jin M-H, Park B-N. Effect of Integrated Personalized Health Care System on Middle-Aged and Elderly Women's Health. Healthc Inform Res. 2012;18(3):199-207.
121. Lee JA, Nguyen AL, Berg J, Amin A, Bachman M, Guo Y, et al. Attitudes and preferences on the use of mobile health technology and health games for self-management: Interviews with older adults on anticoagulation therapy. J Med Internet Res. 2014;16(7).
122. Lee S-K, Son Y-J, Kim J, Kim H-G, Lee J-I, Kang B-Y, et al. Prediction Model for Health-Related Quality of Life of Elderly with Chronic Diseases using Machine Learning Techniques. Healthc Inform Res. 2014;20(2):125-34.
123. Leinonen A-M, Pyky R, Ahola R, Kangas M, Siirtola P, Luoto T, et al. Feasibility of Gamified Mobile Service Aimed at Physical Activation in Young Men: Population-Based Randomized Controlled Study (MOPO). JMIR mHealth uHealth. 2017;5(10):e146.
124. Liang B, Scammon DL. E-word-of-mouth on health social networking sites: An opportunity for tailored health communication. J Consum Behav. 2011;10(6):322-31.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
125. Lim S, Kang SM, Shin H, Lee HJ, Won Yoon J, Yu SH, et al. Improved glycemic control without hypoglycemia in elderly diabetic patients using the ubiquitous healthcare service, a new medical information system. Diabetes Care. 2011;34(2):308-13.
126. Lim WK, Davila S, Teo JX, Yang C, Pua CJ, Blocker C, et al. Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research. PLoS Biol. 2018;16(2):e2004285.
127. Liu CC, Liu XM, Jiang Q, Liu JM. Impact of individualized health management on self-perceived burden, fatigue and negative emotions in angina patients. Int J Clin Exp Med. 2019;12(3):2612-7.
128. Liu D, Baskett W, Beversdorf D, Shyu C-R. Exploratory Data Mining for Subgroup Cohort Discoveries and Prioritization. IEEE journal of biomedical and health informatics. 2020;24(5):1456-68.
129. Liu T. The Effects of a Health Partner Program on Alleviating Depressive Symptoms Among Healthy Overweight/Obese Individuals. Res Theory Nurs Pract. 2018;32(4):400-12.
130. Lohmann S, Herold A, Bergauer T, Belousov A, Betzl G, Demario M, et al. Gene expression analysis in biomarker research and early drug development using function tested reverse transcription quantitative real-time PCR assays. Methods (San Diego, Calif). 2013;59(1):10-9.
131. Lu K, Yang K, Niyongabo E, Shu Z, Wang J, Chang K, et al. Integrated network analysis of symptom clusters across disease conditions. J Biomed Inform. 2020;107(100970413, d2m):103482.
132. Lumpkins CY, Philp A, Nelson KL, Miller LM, Greiner KA. A road map for the future: An exploration of attitudes, perceptions, and beliefs among African Americans to tailor health promotion of cancer-related genetic counseling and testing. J Genet Couns. 2020(9206865).
133. Luo A, Xin Z, Yuan Y, Wen T, Xie W, Zhong Z, et al. Multidimensional Feature Classification of the Health Information Needs of Patients With Hypertension in an Online Health Community Through Analysis of 1000 Patient Question Records: Observational Study. Journal of medical Internet research. 2020;22(5):e17349.
134. Mabuto T, Charalambous S, Hoffmann CJ. Effective interpersonal health communication for linkage to care after HIV diagnosis in south africa. J Acquired Immune Defic Syndr. 2017;74:S23-S8.
135. Magadzire BP, Joao G, Shendale S, Ogbuanu IU. Reducing missed opportunities for vaccination in selected provinces of Mozambique: A study protocol. Gates open research. 2017;1(101717821):5.
136. Marthick M, Janssen A, Cheema BS, Alison J, Shaw T, Dhillon H. Feasibility of an Interactive Patient Portal in Oncology: Qualitative Study. JMIR Cancer. 2019;5(2):10.
137. Martinsson J, Schliep A, Eliasson B, Meijner C, Persson S, Mogren O. Automatic blood glucose prediction with confidence using recurrent neural networks. Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data. 2018;2148:64-8.
138. McHugh J, Suggs LS. Online tailored weight management in the worksite: does it make a difference in biennial health risk assessment data? J Health Commun. 2012;17(3):278-93.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
139. McPhee PG, Gorter JW, MacDonald MJ, Martin Ginis KA. The effects of an individualized health-risk report intervention on changes in perceived inactivity-related disease risk in adults with cerebral palsy. Disabil Health J. 2020;13(2):100868.
140. McReynolds KM, Connors LM. Genomics of Prostate Cancer: What Nurses Need to Know. Semin Oncol Nurs. 2019;35(1):79-92.
141. Meng K, Zhao S, Zhou Y, Wu Y, Zhang S, He Q, et al. A Wireless Textile-Based Sensor System for Self-Powered Personalized Health Care. Matter. 2020;2(4):896-907.
142. Mohan S, Jarhyan P, Ghosh S, Venkateshmurthy NS, Gupta R, Rana R, et al. UDAY: A comprehensive diabetes and hypertension prevention and management program in India. BMJ open. 2018;8(6):e015919.
143. Moore SM, Musil CM, Jack AI, Alder ML, Fresco DM, Webel A, et al. Characterization of Brain Signatures to Add Precision to Self-Management Health Information Interventions. Nurs Res. 2019;68(2):127-34.
144. Mozafarinia M, Rajabiyazdi F, Brouillette M-J, Fellows LK, Mayo NE. Development and usability of a feedback tool, "My Personal Brain Health Dashboard", to improve setting of self-management goals among people living with HIV in Canada. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. 2020(9210257, bqm).
145. Nag N, Pandey V, Putzel PJ, Bhimaraju H, Krishnan S, Jain R. Cross-Modal Health State Estimation. Proceedings of the ACM International Conference on Multimedia, with co-located Symposium & Workshops ACM International Conference on Multimedia. 2018;2018(101582521):1993-2002.
146. Nakamura K, Watanabe M, Okuda N, Yoshita K, Kabayama M, Torii S, et al. The Influence of the Japanese Nationwide Cardiovascular Prevention System Health Guidance on Smoking Cessation Among Smokers: A Propensity Score Matching Analysis. J Atheroscler Thromb. 2018;25(4):323-34.
147. Nedungadi P, Jayakumar A, Raman R. Personalized Health Monitoring System for Managing Well-Being in Rural Areas. J Med Syst. 2018;42(1).
148. New A, Bennett KP. A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models. IEEE journal of biomedical and health informatics. 2020;24(3):916-25.
149. Newman-Casey PA, Niziol LM, Mackenzie CK, Resnicow K, Lee PP, Musch DC, et al. Personalized behavior change program for glaucoma patients with poor adherence: a pilot interventional cohort study with a pre-post design. Pilot and feasibility studies. 2018;4(101676536):128.
150. Nishita CM, Uehara DL, Tom T. Self-perceptions on the impact of diabetes among working adults: insights into disability prevention. The journal of primary prevention. 2011;32(5-6):299-309.
151. Noar SM, Crosby R, Benac C, Snow G, Troutman A. Application of the attitude-social influence-efficacy model to condom use among African-American STD clinic patients: implications for tailored health communication. AIDS Behav. 2011;15(5):1045-57.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
152. Noble N, Paul C, Carey M, Blunden S, Turner N. A randomised trial assessing the acceptability and effectiveness of providing generic versus tailored feedback about health risks for a high need primary care sample. BMC Fam Pract. 2015;16(100967792):95.
153. Oh EG, Yoo JY, Lee JE, Hyun SS, Ko IS, Chu SH. Effects of a three-month therapeutic lifestyle modification program to improve bone health in postmenopausal Korean women in a rural community: a randomized controlled trial. Res Nurs Health. 2014;37(4):292-301.
154. Page A, Turner JT, Mohsenin T, Oates T. Comparing raw data and feature extraction for seizure detection with deep learning methods. Proc Int Florida Artif Intell Res Soc Conf, FLAIRS. 2014:284-7.
155. Pak GD, Haselbeck AH, Seo HW, Osei I, Amuasi J, Breiman RF, et al. The HPAfrica protocol: Assessment of health behaviour and population-based socioeconomic, hygiene behavioural factors - a standardised repeated cross-sectional study in multiple cohorts in sub-Saharan Africa. BMJ open. 2018;8(12):e021438.
156. Patel V, Hale TM, Palakodeti S, Kvedar JC, Jethwani K. Prescription Tablets in the Digital Age: A Cross-Sectional Study Exploring Patient and Physician Attitudes Toward the Use of Tablets for Clinic-Based Personalized Health Care Information Exchange. JMIR RES Protoc. 2015;4(4):e116.
157. Paterno MT, Iradukunda F, Hawkins M. Feasibility of a pilot, randomized controlled trial using a personalized health monitoring device with pregnant women for behavioral sleep research. Applied nursing research : ANR. 2020;52(6lv, 8901557):151246.
158. Pathinarupothi RK, Durga P, Rangan ES. IoT-based smart edge for global health: Remote monitoring with severity detection and alerts transmission. IEEE Internet Things J. 2019;6(2):2449-62.
159. Pethiyagoda T, Chanani N, Cheng C, Wang MD. PEPCOR - A Risk Prediction Model for Pediatric Intensive Care Units Utilizing Ventilator Days and Length of Stay. IEEE-EMBS International Conference on Biomedical and Health Informatics IEEE-EMBS International Conference on Biomedical and Health Informatics. 2016;2016(101683138):86-9.
160. Pleasant A, O'Leary C, Carmona RH. Using formative research to tailor a community intervention focused on the prevention of chronic disease. Eval Program Plan. 2020;78(7801727, eob):101716.
161. Poorani M, Badri Narayanan CG, Bharathi A, Sasidharan J, Varalakshmi P, Vaidehi V. Abnormality Detection in Human based on Hybrid Model - NB3 AkMGA. Int Conf Adv Comput, ICoAC. 2018:112-7.
162. Popescu M, Khalilia M. Improving disease prediction using ICD-9 ontological features. IEEE Int Conf Fuzzy Syst. 2011:1805-9.
163. Pozaic T, Varga M, Dzaja D, Zulj S. Closed-loop system for assisted strength exercising. Int Convention Inf Commun Technol, Electron Microelectron, MIPRO - Proc. 2013:1314-9.
164. Prichard I, Lee A, Hutchinson AD, Wilson C. Familial risk for lifestyle-related chronic diseases: can family health history be used as a motivational tool to promote health behaviour in young adults? Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals. 2015;26(2):122-8.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
165. Qin SJ, Yan B. A facile indicator box based on Eu3+ functionalized MOF hybrid for the determination of 1-naphthol, a biomarker for carbaryl in urine. Sens Actuators, B Chem. 2018;259:125-32.
166. Qin Y, Xie NZ, Liu WX, Geng BC, Chen T, Zeng Y. The influence of self-perceived burden, fatigue and negative emotions on the coronary atherosclerotic cardiopathy patients under the personalized health management. Int J Clin Exp Med. 2019;12(8):10358-65.
167. Raat H, Struijk MK, Remmers T, Vlasblom E, van Grieken A, Broeren SML, et al. Primary prevention of overweight in preschool children, the BeeBOFT study (breastfeeding, breakfast daily, outside playing, few sweet drinks, less TV viewing): design of a cluster randomized controlled trial. BMC Public Health. 2013;13(100968562):974.
168. Rabbi M, Aung MH, Zhang M, Choudhury T. MyBehavior: Automatic personalized health feedback from user behaviors and preferences using smartphones. UbiComp - Proc ACM Int Jt Conf Pervasive Ubiquitous Comput. 2015:707-18.
169. Rapisarda V, Marconi A, Candido S, Nicolosi D, Salmeri M, Gangemi P, et al. A tailored health surveillance program unveils a case of MALT lymphoma in an HCV-positive health-care worker. Oncol Lett. 2013;5(2):651-4.
170. Reid M, Walsh C, Raubenheimer J, Bradshaw T, Pienaar M, Hassan C, et al. Development of a health dialogue model for patients with diabetes: A complex intervention in a low-/middle income country. Int J Afr Nurs Sci. 2018;8:122-31.
171. Rezai LS, Chin J, Casares-Li R, He F, Bassett-Gunter R, Burns C. Can message-tailoring based on regulatory fit theory improve the efficacy of persuasive physical activity systems? Information. 2019;10(11).
172. Rikard RV, Thompson MS, Head R, McNeil C, White C. Problem posing and cultural tailoring: developing an HIV/AIDS health literacy toolkit with the African American community. Health Promot Pract. 2012;13(5):626-36.
173. Rosas LG, Nasrallah C, Park VT, Vasquez JJ, Duron Y, Garrick O, et al. Perspectives on Precision Health Among Racial/Ethnic Minority Communities and the Physicians That Serve Them. Ethn Dis. 2020;30(Suppl 1):137-48.
174. Rosenberg CA, Flanagan C, Brockstein B, Obel JC, Dragon LH, Merkel DE, et al. Promotion of self-management for post treatment cancer survivors: evaluation of a risk-adapted visit. Journal of cancer survivorship : research and practice. 2016;10(1):206-19.
175. Rykov Y, Thach T-Q, Dunleavy G, Roberts AC, Christopoulos G, Soh C-K, et al. Activity Tracker-Based Metrics as Digital Markers of Cardiometabolic Health in Working Adults: Cross-Sectional Study. JMIR mHealth uHealth. 2020;8(1):e16409.
176. Samaan Z, Schulze KM, Middleton C, Irvine J, Joseph P, Mente A, et al. South asian heart risk assessment (SAHARA): Randomized controlled trial design and pilot study. J Med Internet Res. 2013;15(8).
177. Sant'anna A. Activity monitoring as a tool for person-centered care: Preliminary report. Proc - IEEE Int Conf Bioinform Biomed, IEEE BIBM. 2014:48-51.
178. Sastre LR, Wright LD, Haldeman L. Use of Digital Photography With Newcomer Immigrant and Refugee Youth to Examine Behaviors and Promote Health. Health Promot Pract. 2019;20(5):639-41.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
179. Savage RD, Rosella LC, Crowcroft NS, Arneja J, de Villa E, Horn M, et al. How Can We Keep Immigrant Travelers Healthy? Health Challenges Experienced by Canadian South Asian Travelers Visiting Friends and Relatives. Qual Health Res. 2018;28(4):610-23.
180. Schussler-Fiorenza Rose SM, Contrepois K, Moneghetti KJ, Zhou W, Mishra T, Mataraso S, et al. A longitudinal big data approach for precision health. Nat Med. 2019;25(5):792-804.
181. Sengupta D, Pei Y, Kottapalli AGP. Ultralightweight and 3D Squeezable Graphene-Polydimethylsiloxane Composite Foams as Piezoresistive Sensors. ACS Appl Mater Interfaces. 2019;11(38):35201-11.
182. Sim JA, Chang YJ, Shin A, Noh D-Y, Han W, Yang H-K, et al. Perceived needs for the information communication technology (ICT)-based personalized health management program, and its association with information provision, health-related quality of life (HRQOL), and decisional conflict in cancer patients. Psycho-Oncol. 2017;26(11):1810-7.
183. Simione M, Sharifi M, Gerber MW, Marshall R, Avalon E, Fiechtner L, et al. Family-centeredness of childhood obesity interventions: psychometrics & outcomes of the family-centered care assessment tool. Health Qual Life Outcomes. 2020;18(1):179.
184. Smith SC, Hendriks AAJ, Cano SJ, Black N. Proxy reporting of health-related quality of life for people with dementia: a psychometric solution. Health Qual Life Outcomes. 2020;18(1):148.
185. Stewart KFJ, Kokole D, Wesselius A, Schols AMWJ, Zeegers MP, De Vries H, et al. Factors Associated with Acceptability, Consideration and Intention of Uptake of Direct-To-Consumer Genetic Testing: A Survey Study. Pub Health Genomics. 2019;21(1-2):45-52.
186. Stewart KFJ, Wesselius A, Schols AMWJ, Zeegers MP. Stages of behavioural change after direct-to-consumer disease risk profiling: study protocol of two integrated controlled pragmatic trials. Trials. 2018;19(1):240.
187. Stienen JJ, Ottevanger PB, Wennekes L, Dekker HM, van der Maazen RW, Mandigers CM, et al. Development and Evaluation of an Educational E-Tool to Help Patients With Non-Hodgkin's Lymphoma Manage Their Personal Care Pathway. JMIR RES Protoc. 2015;4(1):e6.
188. Stolee P, Awad M, Byrne K, Deforge R, Clements S, Glenny C, et al. A multi-site study of the feasibility and clinical utility of Goal Attainment Scaling in geriatric day hospitals. Disabil Rehabil. 2012;34(20):1716-26.
189. Sturm AC, Schmidlen T, Scheinfeldt L, Hovick S, McElroy JP, Toland AE, et al. Early Outcome Data Assessing Utility of a Post-Test Genomic Counseling Framework for the Scalable Delivery of Precision Health. J Pers Med. 2018;8(3).
190. Sullivan SS, Casucci S, Li C-S. Eliminating the Surprise Question Leaves Home Care Providers With Few Options for Identifying Mortality Risk. The American journal of hospice & palliative care. 2020;37(7):542-8.
191. Sun J, Zhang Z-W, Ma Y-X, Liu W, Wang C-Y. Application of self-care based on full-course individualized health education in patients with chronic heart failure and its influencing factors. World J Clin Cases. 2019;7(16):2165-75.
192. Sztyler T, Völker J, Carmona J, Meier O, Stuckenschmidt H. Discovery of personal processes from labeled sensor data - An application of process mining to personalized health care. ATAED 2015 Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data. 2015;1371:31-46.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
193. Tabatabaei SA, Hoogendoorn M, van Halteren A. Narrowing reinforcement learning: Overcoming the cold start problem for personalized health interventions. PRIMA 2018: Principles and Practice of Multi-Agent Systems. 2018;11224 LNAI:312-27.
194. Takahashi H, Sai K, Saito Y, Kaniwa N, Matsumura Y, Hamaguchi T, et al. Application of a combination of a knowledge-based algorithm and 2-stage screening to hypothesis-free genomic data on irinotecan-treated patients for identification of a candidate single nucleotide polymorphism related to an adverse effect. PLoS One. 2014;9(8):e105160.
195. Tampubolon SET, Antarianto RD. Could Tenascin-C Be Introduced as Post-Circumcision Wound Healing Biomarker? Adv Sci Lett. 2018;24(9):6487-91.
196. Tauali i M, Davis EL, Braun KL, Tsark JU, Brown N, Hudson M, et al. Native Hawaiian views on biobanking. Journal of cancer education : the official journal of the American Association for Cancer Education. 2014;29(3):570-6.
197. Taylor JO, Hartzler AL, Osterhage KP, Demiris G, Turner AM. Monitoring for change: the role of family and friends in helping older adults manage personal health information. Journal of the American Medical Informatics Association : JAMIA. 2018;25(8):989-99.
198. Thiel A, Diehl K, Giel KE, Schnell A, Schubring AM, Mayer J, et al. The German Young Olympic Athletes' Lifestyle and Health Management Study (GOAL Study): design of a mixed-method study. BMC Public Health. 2011;11(100968562):410.
199. Thompson EL, Vamos CA, Straub DM, Sappenfield WM, Daley EM. "We've Been Together. We Don't Have It. We're Fine." How Relationship Status Impacts Human Papillomavirus Vaccine Behavior among Young Adult Women. Women's health issues : official publication of the Jacobs Institute of Women's Health. 2017;27(2):228-36.
200. Truong B, Zhou X, Shin J, Li J, van der Werf JHJ, Le TD, et al. Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives. Nature communications. 2020;11(1):3074.
201. Tseng VS, Chou CH, Yang KQ, Tseng JCC. A Big Data Analytical Framework for Sports Behavior Mining and Personalized Health Services. 2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI). 2018:178-83.
202. Tucker S, Farrington M, Lanningham-Foster LM, Clark MK, Dawson C, Quinn GJ, et al. Worksite Physical Activity Intervention for Ambulatory Clinic Nursing Staff. Workplace Health Saf. 2016;64(7):313-25.
203. Turner JT, Page A, Mohsenin T, Oates T. Deep belief networks used on high resolution multichannel electroencephalography data for seizure detection. AAAI Spring Symp Tech Rep. 2014;SS-14-01:75-81.
204. van den Brekel-Dijkstra K, Rengers AH, Niessen MAJ, de Wit NJ, Kraaijenhagen RA. Personalized prevention approach with use of a web-based cardiovascular risk assessment with tailored lifestyle follow-up in primary care practice--a pilot study. Eur J Prev Cardiol. 2016;23(5):544-51.
205. van den Broek I, Fu Q, Kushon S, Kowalski MP, Millis K, Percy A, et al. Application of volumetric absorptive microsampling for robust, high-throughput mass spectrometric quantification of circulating protein biomarkers. Clin Mass Spectrom. 2017;4-5:25-33.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
206. van den Broek TJ, Bakker GCM, Rubingh CM, Bijlsma S, Stroeve JHM, van Ommen B, et al. Ranges of phenotypic flexibility in healthy subjects. Genes & nutrition. 2017;12(101280108):32.
207. van Dongen BM, Ridder MAM, Steenhuis IHM, Renders CM. Background and evaluation design of a community-based health-promoting school intervention: Fit Lifestyle at School and at Home (FLASH). BMC Public Health. 2019;19(1):784.
208. van Limpt PM, Harting J, van Assema P, Ruland E, Kester A, Gorgels T, et al. Effects of a brief cardiovascular prevention program by a health advisor in primary care; the 'Hartslag Limburg' project, a cluster randomized trial. Prev Med. 2011;53(6):395-401.
209. van Os J, Verhagen S, Marsman A, Peeters F, Bak M, Marcelis M, et al. The experience sampling method as an mHealth tool to support self-monitoring, self-insight, and personalized health care in clinical practice. Depress Anxiety. 2017;34(6):481-93.
210. Vaughn J, Summers-Goeckerman E, Shaw RJ, Shah N. A Protocol to Assess Feasibility, Acceptability, and Usability of Mobile Technology for Symptom Management in Pediatric Transplant Patients. Nurs Res. 2019;68(4):317-23.
211. Vela LM, Kwon H, Rutkove SB, Sanchez B. Standalone IoT Bioimpedance Device Supporting Real-Time Online Data Access. IEEE Internet Things J. 2019;6(6):9545-54.
212. Vilaro MJ, Zhou W, Colby SE, Byrd-Bredbenner C, Riggsbee K, Olfert MD, et al. Development and Preliminary Testing of the Food Choice Priorities Survey (FCPS): Assessing the Importance of Multiple Factors on College Students' Food Choices. Eval Health Prof. 2017;40(4):425-49.
213. Vosbergen S, Mulder-Wiggers JMR, Lacroix JP, Kemps HMC, Kraaijenhagen RA, Jaspers MWM, et al. Using personas to tailor educational messages to the preferences of coronary heart disease patients. J Biomed Inform. 2015;53(100970413, d2m):100-12.
214. Wahbi K, Porcher R, Laforet P, Fayssoil A, Becane HM, Lazarus A, et al. Development and Validation of a New Scoring System to Predict Survival in Patients With Myotonic Dystrophy Type 1. JAMA Neurol. 2018;75(5):573-81.
215. Wang SL, Chen YL, Kuo AMH, Chen HM, Shiu YS. Design and evaluation of a cloud-based Mobile Health Information Recommendation system on wireless sensor networks. Comput Electr Eng. 2016;49:221-35.
216. Weijers M, Feron FJM, Bastiaenen CHG. The 3600CHILD-profile, a reliable and valid tool to visualize integral child-information. Preventive medicine reports. 2018;9(101643766):29-36.
217. Wheeler KJ, Early JO. Using Photovoice to Explore Quality of Life Factors of Adults With Crouzon Syndrome. Qual Health Res. 2018;28(3):357-70.
218. Williams SA, Kivimaki M, Langenberg C, Hingorani AD, Casas JP, Bouchard C, et al. Plasma protein patterns as comprehensive indicators of health. Nat Med. 2019;25(12):1851-7.
219. Xia YY, Hu DY, Liu FY, Wang XM, Yuan YL, Tu DH, et al. Design of the anti-tuberculosis drugs induced adverse reactions in China National Tuberculosis Prevention and Control Scheme Study (ADACS). BMC Public Health. 2010;10(100968562):267.
220. Xiao C, Gui S, Liu J, Cheng Y, Qian X, Huang S. Longitudinal planning for personalized health management using daily behavioral data. IISE Transactions Healthc Syst Eng. 2019;9(3):243-9.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
221. Yang NY, Wroth S, Parham C, Strait M, Simmons LA. Personalized health planning with integrative health coaching to reduce obesity risk among women gaining excess weight during pregnancy. Global advances in health and medicine. 2013;2(4):72-7.
222. Youm S, Liu S. Development healthcare PC and multimedia software for improvement of health status and exercise habits. Multimedia Tools Appl. 2017;76(17):17751-63.
223. Zang S, Wang Q, Mi Q, Zhang J, Ren X. A facile, precise radial artery pulse sensor based on stretchable graphene-coated fiber. Sens Actuators A Phys. 2017;267:532-7.
224. Zhou B, Chen K, Yu Y, Wang H, Zhang S, Zheng W. Individualized health intervention: Behavioral change and quality of life in an older rural Chinese population. Educ Gerontol. 2010;36(10-11):919-39.
225. Zhu CY, Chi SQ, Li RZ, Tong DY, Tian Y, Li JS. Design and development of a readmission risk assessment system for patients with cardiovascular disease. Proc - Int Conf Inf Technol Med Educ, ITME. 2017:121-4.
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Appendix 4a. Bibliometric information and methodological characteristics of reviewed studies on precision health (n=225)
BIBLIOMETRIC INFORMATION METHODOLOGICAL CHARACTERISTICS
First author
and year of
publication.
Funding
sources
Number
of
authors
Country
(study
setting)
Disciplines of
authors
Institution
of authors
Study aim Study design Technology
being
developed
Focal health
condition
Abbott 2018 Not Supplied 4 USA Medical and Health Sciences
Academia What characteristics of the rural African-American participants in a cardiovascular health promotion study served as moderators of the intervention effects?
Randomised controlled trial
Community/in-person program
Cardiovascular disease
Adams 2014 Institutional, Government, Non-governmental
6 USA Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia A case study evaluating nine rating prediction methods for use in the Patient Experience Recommender System for Persuasive Communication Tailoring, a system developed for use in a clinical trial of CTHC-based smoking cessation support interventions.
Cross sectional Algorithm Smoking
Afzal 2018 Government 9 Not Supplied Information, Computing, and Communication Sciences; Commerce, Management, and Tourism Services
Academia By not handling the contextual factors, the users of the Mining Minds are unable to get the final personalized recommendation services. The main objective of the proposed work is to solve the above mentioned problem by adding the capability to the existing system to exploit not only the user's profile information but also their current context, preferences, and the environmental variables.
Cross sectional study, Text and opinion
Algorithm Sedentary lifestyle
Ahmed 2015 International 1 Spain, Slovenia
Engineering and Technology
Academia This paper proposed a personalized self-served health-monitoring system for elderly in home environment by combining general rules with a case-based reasoning (CBR) approach. Classification accuracy of the CBR retrieval has observed and presented in the paper where percentages of correctly classified cases, sensitivity, specificity and overall accuracy have calculated.
Diagnostic test accuracy study
Algorithm Older adults general health based on blood pressure, blood glucose, weight, activity, pulse, etc.
Ahola 2013 Institutional, Government
10 Finland Social Sciences, Humanities, and Arts (general); Engineering and Technology; Medical and Health Sciences
Academia, Health facility, Non-profit organisation, Defense
The overall aim of the study is to provide new evidence-based knowledge for promoting health and wellbeing in young men. The purpose is to set up a multidisciplinary approach for assessing the effectiveness of 1) an interactive, gamified activation method, based on peer networks and participation, on physical activity, aerobic fitness and relationship towards physical activity in young men 2) the gamified activation on physical health, with special emphasis on weight and related factors, and on mental and social health and wellbeing. The hypotheses are that by the end of the intervention the men in the activation group: 1) are physically more active and fit, and 2) their self-determined and measured health is better and there are fewer obese subjects com-pared to the control group
Randomised controlled trial, Protocol
Individual digital health promotion tool
Physical health, with special emphasis on weight and related factors, and on mental and social health and wellbeing.
Almeida 2020 Industry 13 USA Mathematical Sciences; Medical and Health Sciences
Academia, Industry
To describe the methods and design of a type 1 hybrid effectiveness-implementation trial of a digital diabetes prevention program (DPP) using the iPARIHS (Promoting Action on Research Implementation in Health Services) and RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) frameworks.
Randomised controlled trial
Individual digital health promotion tool
Prediabetes
An 2013 Government 9 USA Medical and Health Sciences
Academia The primary objective of this study was to determine whether providing individually tailored cessation messages with or with-out online peer support increased self-reported 30-day abstinence from cigarette use among young adult smokers.
Randomised controlled trial
Individual digital health promotion tool
Smoking
Anderson 2015 Non-governmental
7 Australia Medical and Health Sciences
Academia, Health facility
The aims of this study were to (1) develop a behavioral intervention for managing menopausal symptoms in women with breast cancer and (2) evaluate the feasibility and efficacy
Randomised controlled trial
Community/in-person program
Menopausal symptoms caused by breast cancer treatment
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
of the intervention before developing a larger randomized controlled trial of the program.
AntOzok 2014 Institutional 5 USA Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia Using a case study, we specifically aimed at determining patients' and providers' perceptions regarding (1) whether a PHR system can be useful in improving patient ecare provider interactions, preventive health screening, and compliance with healthier lifestyle behaviors; and (2) the key usability factors of such a system.
Qualitative research
Individual digital health promotion tool
Preventive health
Archibald 2011 Government 1 USA Medical and Health Sciences
Academia The purpose of this study was to discover from interviews, ways to tailor health care interventions to fit the cultural identity of a minority group of people in order to reduce health disparity.
Qualitative research
Community/in-person program
Not Applicable
Arens 2018 Industry 3 Germany Medical and Health Sciences
Health facility
Bring weight reduction and lifestyle modification away from a personal lifestyle topic by involving qualified health care professionals with an evidence-based medical perspective. Capitalize on advanced digital technology to allow for close and personalized interaction of HCPs with the patients. Foster sustainable lifestyle changes and T2DM prevention while staying affordable for the health care system. Establish this way a win-win situation for patients and the health care system
Non-randomised experimental study
Individual digital health promotion tool
Metabolic syndrome
Atack 2012 Institutional, government, Non-governmental
2 Canada Medical and Health Sciences
Academia A study was conducted to implement PEPTalk and to examine patient and community group members' satisfaction and the impact of the health education materials on their health behaviour. Community staff and health providers' experiences with the new education tool were also examined.
Cross sectional study, Qualitative research
Individual digital health promotion tool
Not Supplied
Atzmueller 2018
Not Supplied 4 Not Supplied Not Supplied Academia, Industry
We provide a novel explicative machine learning approach, using adaptive association rule-based classification for human activity recognition.
Clinical prediction rule
Algorithm Parkinson's disease
Avery 2019 Institutional, Government
11 UK Medical and Health Sciences
Academia, Health facility
Here, we describe the development of a hospital EHR (electronic health record)-integrated ePRO system to improve the detection of complications and AEs (adverse effects) after discharge following cancer-related surgery, illustrated in the first instance in the example context of cancer-related major abdominal surgery.
Clinical prediction rule
Non-diagnostic implanted medical device
Adverse effects post-discharge
Ayres 2013 Industry 7 UK Behavioural and Cognitive Sciences
Academia, Industry
The present research tested the individual and combined effectiveness of a motivation manipulation and a question-behaviour effect (QBE) manipulation in a fully crossed design using an RCT.
Randomised controlled trial
Individual digital health promotion tool
Cardiovascular disease
Badawi 2012 Not Supplied 3 Not Supplied Information, Computing, and Communication Sciences
Academia General aim: In this paper, we proposed a personalized health advisory system for children based on real-time biofeedback sensors to provide accurate and up-to-date decisions about childrens' food, clothing, and activities using electronics child record, as the health profile for each child, and ontologies for both vitamins and allergies as knowledge base system to support the decision making.
Cross sectional study
Individual digital health promotion tool
Children's diet
Bannink 2012 Government 5 The Netherlands
Medical and Health Sciences
Academia, Health facility
The aim of this study is to evaluate the effect of two interventions on mental health and health behaviour (alcohol and drug use, smoking, safe sex). Additionally, a process evaluation will be conducted to provide insight in the feasibility of the two interventions. This article describes the design of the study.
Randomised controlled trial, Protocol
Individual digital health promotion tool
Mental health problems, health risk behaviours
Bariya 2018 Government 15 USA Information, Computing, and Communication Sciences;
Academia, Government
We use inks and electrode morphologies designed for electrochemical and mechanical stability, achieving devices with uniform redox kinetics printed on 150 flexible substrate rolls. We show that these electrodes can be functionalized into
Technology/tool testing
Non-diagnostic implanted medical device
Not Supplied
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Engineering and Technology
consistently high performing sensors for detecting ions, metabolites, heavy metals, and other small molecules in noninvasively accessed biofluids, including sensors for real-time, in situ perspiration monitoring during exercise. This development of robust and versatile R2R gravure printed electrodes represents a key translational step in enabling large-scale, low-cost fabrication of disposable wearable sensors for personalized health monitoring applications.
Barnes 2020 Government 7 Canada Medical and Health Sciences
Academia, Health facility
Here we present the results of a survey that gauged understanding of the biobanking component and data sharing preferences among stroke patients participating in a GAPH (Genomics and Personalized Health) study and disease-specific biobank.
Cross sectional study
Diagnostic test Stroke
Barron 2013 Non-governmental
2 USA Medical and Health Sciences
Academia The goal of this study was to assess feasibility of providing personal health information to older adults and their caregivers via web-based patient portal.
Cross sectional study
Individual digital health promotion tool
Chronic obstructive pulmonary disease, congestive heart failure
Bassett 2011 None 2 Canada Medical and Health Sciences
Academia The purposes of this study were to (1) examine changes in perceived risk for disease following an individualized health information intervention and (2) examine changes in perceived risk for disease as a predictor of changes in leisure time physical activity (LTPA).
Non-randomised experimental study
Community/in-person program
Heart disease, obesity, diabetes
Batool 2012 Government 6 Not Applicable (Twitter)
Information, Computing, and Communication Sciences; Engineering and Technology
Academia The proposed system monitors changing health conditions, emotions and interests of users to provide real time personalized health information and guidance from highly qualified physician’s knowledge. User interests and emotions are extracted by investigating user’s social data which is passed to Smart CDSS for decision making. The response is in the form of approved recommendations or alerts, based on stored clinicians' knowledge. Decision from Smart CDSS is personalized information based on users' interest and health condition. This system improves healthcare activities, self-management of care and enhances communication between patients and physicians.
Technology/tool testing
Algorithm Diabetes
Bazdarevic 2015
Not Supplied 2 Bosnia, Herzegovina
Information, Computing, and Communication Sciences
Academia Two main aims guided this research: ï‚· discovering the factors that can be incorporated into user models to improve personalisation, in particular the connection between emotions and personalisation needs. ï‚· understanding the factors, in particular emotion-related, that can predict subsequent intention to use a health website.
Cohort study Individual digital health promotion tool
Cancer
Beckmann 2018
Not Supplied 8 Germany Information, Computing, and Communication Sciences; Engineering and Technology; Economics
Academia, Industry
After introducing our approach for a personalized healthcare sensor fusion we present our Java Data Collecting (JDC) Framework. The architecture, components and functions will be shown.
Technology/tool testing
Individual digital health promotion tool
Stress
Berks 2019 Government 9 Netherlands Medical and Health Sciences
Health facility
The primary aim of this study is to evaluate the feasibility of a lifestyle intervention program after complicated pregnancies associated with an increased risk of future cardiometabolic disease by comparing the proportion of eligible women who completed the intervention to other lifestyle intervention programs.
Non-randomised experimental study
Community/in-person program
Pregnancy complications (preeclampsia, fetal growth restriction and/or gestational diabetes mellitus)
Bidargaddi 2018
Not Supplied 8 Not Supplied Social Sciences, Humanities, and Arts (general); Medical and
Academia, Industry
To test whether sending a push notification containing a contextually tailored health message versus not sending push notification (in moments of availability) results in an increased
Randomised controlled trial
Individual digital health promotion tool
Help users find their purpose in life and develop the energy and willpower they need to
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Health Sciences; Studies in Human Society
likelihood of proximal engagement with the app (ie, the user is self-monitored via the app at some point in the next 24 hours).
live in accordance with their purpose every day.
Blake 2018 Government 6 UK Medical and Health Sciences; Studies in Human Society
Academia, Industry, Government, Non-profit organisation
The aim of this study was to: determine the feasibility of delivering HIV testing within workplace health checks, describe the demographic characteristics of employees who chose to attend, ascertain the views of attending employees towards workplace HIV testing.
Cross sectional study
Community/in-person program
HIV
Blake-Lamb 2018
Institutional, Government, Non-governmental
10 USA Medical and Health Sciences
Academia, Health facility
To describe the study protocol for a quasi-experimental evaluation design of The First 1000 Days program that will examine changes, between 2015 and 2019, in gestational weight gain and prevalence of infant overweight from 0 to 24 months of age. The First 1000 Days program will examine the effectiveness of an early life obesity prevention program for mother-infant pairs.
Non-randomised experimental study, Protocol
Community/in-person program
Obesity in pregnancy, infant obesity
Borbolla 2014 Not Supplied 8 Argentina Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Health facility
This paper describes the implementation process of info buttons within a PHR (personal health record) system as well as the use of MedlinePlus information in Spanish through these info button links.
Cross sectional study
Individual digital health promotion tool
Medical records/self-management of medical processes
Bosak 2018 Institutional, Government, Non-governmental
6 USA Medical and Health Sciences
Academia, Health facility
The aims of this preliminary study were to investigate: (1) brain biomarkers in the resting state of the left dlPFC in midlife women maintaining physical activity, compared to a previously acquired age-matched inactive control group and (2) functional brain biomarkers during goal-directed task learning and implementation phases between the physical activity maintenance group, and a previously acquired age-matched inactive control group.
Case control study
Diagnostic test Physical activity
Braun 2014 Non-governmental
10 Australia Medical and Health Sciences
Academia, Health facility
This study reports on an audit of an existing trial and aims to determine whether the ICWP improved postoperative recovery of CABG and valve surgery patients without increasing the incidence of serious bleeding events. We also assessed whether the ICWP increased participation in rehabilitation programs, was feasible to deliver in a public hospital and was well accepted by patients.
Non-randomised experimental study
Community/in-person program
Cardiothoracic surgery recovery
Brown 2016 Non-governmental
9 USA Medical and Health Sciences
Academia The goal of this study is to test the efficacy of (1) providing AA (African-American) patients with cancer with tailored CT (clinical trial) messages with two different depths of tailoring and (2) either providing feedback to oncologists about the patients' tailored CT messages or not.
Randomised controlled trial, Protocol
Community/in-person program
Cancer
Brown 2019 Not Supplied 3 Australia Medical and Health Sciences; Behavioural and Cognitive Sciences
Academia Thus, we examined if the number of screening barriers and facilitators, and individual barriers and facilitators listed by women, were related to their screening status and prior screening.
Cross sectional study
Community/in-person program
Cervical cancer screening
Cappelletti 2014
Government 4 USA Medical and Health Sciences; Behavioural and Cognitive Sciences
Academia We examine the extent to which four unmet basic needs (insufficient food and income, inadequate housing and unsafe neighborhoods and personal safety) and perceived life stress predict recall of a tailored intervention and contacting a recommended health referral contained in the intervention one month later.
Cross sectional study
Community/in-person program
Cancer
Chang 2015 Government 4 Korea Medical and Health Sciences
Academia This study aimed to examine the effects of a family involvement and functional rehabilitation program in an adult day care center on elderly Korean stroke patients perceived health, activities of daily living, instrumental activities of daily
Non-randomised experimental study
Community/in-person program
Stroke
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
living, and cost of health services, and on family caregivers’ satisfaction.
Chen 2017 Not Supplied 4 China Information, Computing, and Communication Sciences
Industry This paper proposes a big data analytic (BDA) based personalized air quality health advisory model based on high resolution estimation of air quality concentration, pollutant mixture modeling techniques and personalized air quality health risk estimation. *21 Diseases addressed: Certain infections and parasitic disease; neoplasms; blood and immune mechanism related diseases; endocrine, nutritional, and metabolic diseases; mental and behavioural disorders; diseases of the nervous system; diseases of the eye and adnexa; disease of the ear and mastoid process; diseases of the circulatory system; diseases of the respiratory system; diseases of the digestive system, diseases of the skin and subcutaneous tissue; diseases of the musculoskeletal system and connective tissue; diseases of the genitourinary system; pregnancy, childbirth, and puerperium; certain conditions originating in the perinatal period; congenital malformations, deformations, and chromosomal abnormalities; symptoms, signs, and abnormal clinical and laboratory findings; injury, poisoning and certain other consequences of external causes; external causes of morbidity and mortality; factors influencing health status and contact with health services
Technology/ tool testing
Algorithm 21 disease groups (ICD-10): (See Methods column for more detaisl)
Chen 2019 Government 6 Taiwan Medical and Health Sciences
Academia, Health facility
The aims of this study were to examine the relationship between healthcare needs, health-promoting behaviors and quality of life (QoL) of youths with congenital heart disease (CHD), and to determine whether health-promoting behaviors were a mediating variable.
Cross sectional study
Community/in-person program
Congenital heart disease
Chen 2018 Not Supplied 7 China Medical and Health Sciences
Academia, Health facility
The objective of this study was to translate and validate a Chinese version of the Coronary Artery Disease Education Questionnaire-II (CADEQ-II).
Technology/tool testing
Questionnaire Coronary heart disease
Chiang 2019 Institutional 2 USA Information, Computing, and Communication Sciences; Engineering and Technology
Academia To the best of our knowledge, this is the first work investigating the relationship between daily BP prediction and health behavior data collected by wearables, especially in both offline (batch) and online learning scenario.
Cohort study Algorithm hypertension
Chua 2011 Government 7 USA Medical and Health Sciences; Behavioural and Cognitive Sciences
Academia In the present study, we examined whether the neural response to tailored smoking-cessation messages overlaps with self-related processing regions, determined via an independent Self task and, more critically, whether the activation in these regions predicts subsequent real-life quitting.
Non-randomised experimental study
Community/in-person program
smoking
Colkesen 2011 Institutional, Industry
6 The Netherlands
Medical and Health Sciences
Academia, Industry, Health facility
In the present study we evaluated CVD risk changes among employees who voluntarily participated in a Web-based HRA (health risk assessment) including tailored feedback that was offered to them by their employer as part of a worksite health management program. The HRA was designed to collect data that are necessary to screen for the risk of a number of preventable diseases, including CVD, and provide tailored feedback in order to educate, motivate, and empower participants in CVD risk reduction. The primary aim was to measure whether CVD risk was improved after participation in the program at a Dutch worksite.
Non-randomised experimental study
Individual digital health promotion tool
Cardiovascular disease
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Cortese 2012 Not Supplied 2 USA Information, Computing, and Communication Sciences, Journalism, Librarianship, and Curatorial Studies
Academia This study examines the effects of a tailored health education site on participants' evaluations of and elaboration on health messages.
Randomised controlled trial
Individual digital health promotion tool
Adolescent sexual health and decision making
Cote 2015 Government 11 Canada Medical and Health Sciences; Information, Computing, and Communication Sciences, Engineering and Technology
Academia, Health facility
This study aims to evaluate the effectiveness of a Web-based tailored intervention, TAVIE en sante, in supporting PLHIV to adopt health promoting behaviours, such as smoking cessation, being physically active and eating healthy.
Randomised controlled trial, Protocol
Individual digital health promotion tool
Human Immunodeficiency Virus (HIV)
Crosby 2015 Not Supplied 8 USA Medical and Health Sciences
Academia, Health facility
The current study provides preliminary data on adolescent perceptions of school performance and SCD (sickle cell disease) interference (i.e., how much participants saw SCD as getting in the way of their school performance) and examines the relationship between these variables and demographic factors. A secondary goal of the study was to explore the acceptability of potential educational support strategies and their relationship to demographic variables (e.g., gender, hospitalizations).
Cross sectional study
Community/in-person program
Sickle cell disease
Da'Addario 2020
Government 5 Italy Medical and Health Sciences; Studies in Human Society; Behavioural and Cognitive Sciences
Academia, Government
This article describes the development of theTime to Change Your Behavior (TTCYB) study protocol, a theory-based, tailored print message intervention to improve compliance with the self-care regimen in patients with cardiovascular diseases.
Randomised controlled trial, Protocol
Community/in-person program
Cardio-vascular disease: acute coronary syndrome (ACS) or essential hypertension
DeGagne 2015 Institutional 5 USA Medical and Health Sciences
Academia The purpose of this study was to explore experiences of health care utilization, perceptions of the health care system, and the needs for health maintenance and promotion programs in the community among Asian Indian immigrants living in NC Triangle area located in the Southeastern United States.
Cross sectional study, Qualitative research
Community/in-person program
Health care utilization, perceptions of the health care system, and the needs for health maintenance and promotion programs in the community
deSoutoBarreto 2014
Government 4 France Medical and Health Sciences
Academia, Health facility
The objectives of this study were to examine the vaccination coverage among NH (nursing home) residents characterised by selected medical conditions (at-risk groups) and to investigate if facilities’ structure and internal organisation impact residents’ vaccination in French NHs.
Cross sectional study
Exploratory Influenza, pneumococcal (vaccination against)
deVries 2012 Not Supplied 6 The Netherlands
Medical and Health Sciences
Academia, Health facility
In the present study, we first assessed program evaluations of a new, Dutch, Internet Computer Tailored program on skin cancer. We next assessed potential differences in program reactions between respondents with a high- and low-educational level, as well as between patients and non-patients, by assessing perceived advantages and disadvantages pertaining to items such as relevance, completeness, and credibility of the Computer Tailored messages.
Cross sectional study
Individual digital health promotion tool
Skin cancer
Devaux 2016 Institutional, Government Non-governmental, International
16 Czech Republic, Denmark, Italy, Luxembourg,
Not Supplied Academia, Health facility
In the present ad hoc substudy of the multicenter TTM trial, we addressed the prognostic value of circulating miRNAs for neurologic outcome and mortality 6 months after cardiac arrest.
Cohort study Diagnostic test Neurologic outcome and mortality 6 months after cardiac arrest
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
the Netherlands, Norway, Sweden, Switzerland, UK
Donovan 2012 Government 5 USA Education Academia, Industry
The current study was designed to test the feasibility of an online, tailored health program for community college students.
Technology/tool testing
Individual digital health promotion tool
Stress management, drugs/alcohol/tobacco, wellness (Nutrition; Physical Activity; Mental Health, and Sexual Health)
Doove 2016 Institutional, Government
4 Not Applicable (data from another study)
Mathematical Sciences; Social Sciences, Humanities, and Arts (general)
Academia In the present paper we will present a nontechnical review of the conceptual basis of QUINT and show its significance for psychological applications. To this end we will subject data from an RCT on drug abuse treatments to a reanalysis with QUINT. This will make it possible to arrive at a more pronounced picture of the information on treatment effectiveness embedded in the data.
Cross sectional study
Algorithm Not Applicable
DosSantos 2020
None 4 Portugal Medical and Health Sciences
Academia, Health facility
In our study, we aimed to identify and characterise patterns of health-related behaviours among Portuguese adolescents and correlate them with individual and contextual factors.
Cross sectional study
Community/in-person program
Health Behaviours: physical activity, eating, and substance use
Doyle 2014 Government 4 Ireland Engineering and Technology
Academia The purpose of this trial was to examine long-term adherence to self-reporting in an older population, to gauge opinions on whether the application increased awareness of one's wellbeing, whether it encouraged people to alter their behaviour in some way and whether people found the application, particularly the feedback provided, useful and usable
Technology/tool testing
Individual digital health promotion tool
Wellness self-management for older adults
Drake 2018 Non-governmental
5 USA Medical and Health Sciences
Academia This study explores the feasibility of integrating personalized health planning (PHP) into a diabetes mellitus shared medical appointments (SMAs) series and implementing the series to leverage the complementary advantages of PHP and SMAs.
Randomised controlled trial
Community/in-person program
Type 2 diabetes
Dreer 2016 Institutional, Government, Non-governmental
6 USA Medical and Health Sciences; Behavioural and Cognitive Sciences
Academia Building upon our previous work, we examined the feasibility and preliminary efficacy of the program (Glaucoma Management Optimism for African Americans Living with Glaucoma) on a sample of AAs (African Americans) who were nonadherent with their glaucoma medications.
Cohort study Community/in-person program
Glaucoma
Drost 2020 Non-governmental
16 Australia, USA, Netherlands
Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Industry
Here, we have used the available clinically classified MSH6 variants to calibrate the CIMRA assay output and allow its Bayesian integration with previously calibrated and validated computational analysis into a two-component classification procedure. Then, we addressed the shortage of classified variants for validation purposes by generating a large number of in vivo inactivating Msh6 variants in a cell-based genetic screen. We have extensively characterized these variants, using cellular and biochemical analyses, to confirm their suitability as a proxy for pathogenic human variants. This has enabled the validation of the two-component classification procedure. Moreover, our finding that many inactivating variants identified in the genetic screen match human MSH6 VUS listed in variant databases supports their classification as pathogenic.
Diagnostic test accuracy study
Diagnostic test Cancer
Drozdovska 2020
Not Supplied 4 Ukraine Medical and Health Sciences
Academia The study was focused on the substantiation of a personalized approach to designing health-promoting exercise programs for young women based on the genetic factors.
Diagnostic test accuracy study
Diagnostic test Physical activity
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Elbert 2016 Government 3 Netherlands Medical and Health Sciences; Behavioural and Cognitive Sciences
Academia In summary, we aim to test the efficacy of two different fruit and vegetable promotion interventions delivered via a mobile phone app that communicates persuasive health information via an auditory or textual mode. The efficacy of the auditory and textual intervention will be compared with a control condition in which no intervention is present, and the textual and auditory interventions will be compared to each other.
Randomised controlled trial
Individual digital health promotion tool
Not Supplied
Engel 2014 Institutional 5 The Netherlands
Biological Sciences; Medical and Health Sciences
Academia To assess the value of statistical health monitoring for disease diagnosis
Cross sectional study, Clinical prediction rule
Algorithm Diseases: inborn errors of metabolism (IEM) that comprise a substantial group of rare genetic diseases
Enwald 2015 Government, International
3 Finland Social Sciences, Humanities, and Arts (general); Medical and Health Sciences
Academia This study aims at increasing knowledge on perceptions of fear appeal message strategy as a factor affecting information use. The objective is to investigate whether young men with different characteristics perceive health-related fear appeal messages differently in different contexts. If differences are found they could be utilised as a basis to tailor health communication.
Cross sectional study
Individual digital health promotion tool
Preventive health
Enwald 2013 Government, Non-governmental
8 Finland Social Sciences, Humanities, and Arts (general); Information, Computing, and Communication Sciences; Engineering and Technology; Medical and Health Sciences,
Academia The objective of this study is to specify individual differences in perceptions of a fear appeal message strategy and preferences for feedback message tactics particularly in relation to sex, age, physiological health status (identified by objective measurements of physical fitness, body composition and glucose homeostasis) and changes in health status during the trial.
Cross sectional study
Individual digital health promotion tool
Preventive health
Enwald 2012 Government, Non-governmental
8 Finland Social Sciences, Humanities, and Arts (general); Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Health facility
The aim of this study is to explore the potential to tailor health information on the basis of human information behaviour (HIB), that is, individuals' interest in, searching for, and use of information, and their health status identified by the basic physiological measurements in this context, namely body mass index (BMI), physical fitness classification and glucose test values.
Cross sectional study
Individual digital health promotion tool
Prediabetes, diabetes
Fadhil 2019 Not Supplied 3 Italy Information, Computing, and Communication Sciences
Academia We describe the results from our validation study to assess the acceptability of this form of coaching by the users, and the feasibility of delivering behavior counseling using the conversational agent medium. Specifically, we are interested in assessing user trust and general satisfaction with the virtual agent to guide our next steps in development and help form hypotheses for future research.
Technology/tool testing
Individual digital health promotion tool
Preventive health/health promotion
Fan 2015 Government 3 USA Mathematical Sciences; Biological Sciences; Medical and Health Sciences
Academia The purpose of this study is to leverage modern technology (such as mobile or web apps in Beckman et al. (2014)) to enrich epidemiology data and infer the transmission of disease.
Clinical prediction rule
Algorithm Influenza
Fan 2019 Institutional, Government
4 Hong Kong Information, Computing, and Communication Sciences
Academia We propose a novel framework using single lead ECG signals for forecasting one-day-forward wellness conditions of community-dwelling elderly using short ECG signals. Therefore, two popular deep learning-based approaches called
Technology/tool testing
Algorithm Wellness
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
long short-term memory network (LSTM)and bidirectional long short-term memory network (BiLSTM) are utilized to forecast one-day-forward wellness conditions for elderly in this study. Meanwhile, two traditional machine learning-based methods of SVM and ANN are also employed for model selection.
Faro 2019 Government, Non-governmental
17 USA Medical and Health Sciences
Academia, Health facility
We aim to evaluate the effectiveness of a machine learning-based approach (recommender system) for computer-tailored health communication (CTHC) over a standard CTHC system based on quit rates and risk reduction. In addition, this study will assess the dissemination of providing access to a peer recruitment toolset on recruitment rate and variability of the sample.
Randomised controlled trial, Protocol
Individual digital health promotion tool
Smoking cessation
Fayorsey 2019 Government 10 Kenya Medical and Health Sciences
Academia, Government
The Mother Infant Retention for Health (MIR4Health) study was designed to evaluate the effectiveness of a combination intervention (structural, social, and behavioral) administered by trained lay workers to decrease attrition among HIV-positive pregnant women initiating PMTCT services and their infants through 6 months postpartum in Kenya.
Randomised controlled trial
Individual digital health promotion tool; Community/in-person program
HIV in pregnancy
Ferrao 2017 Non-governmental
3 Mozambique Information, Computing, and Communication Sciences; Engineering and Technology
Academia Therefore, the objective of this study was to model the effects of several climatic variables (i.e. maximum, minimum, and mean temperature, relative humidity, precipitation, wind speed, visibility and precipitation) on malaria occurrence in Chimoio municipality, using weekly data to define the role of each variable in malaria occurrence.
Case series Algorithm Malaria
Ferrer 2017 Government 6 USA Science (general); Medical and Health Sciences
Academia, Government, Non-profit organisation
We developed and validated a Health Regulatory Focus Scale (HRFS), which assesses tendencies to avoid negative health consequences (prevention focus) or achieve positive health outcomes (promotion focus).
Cross sectional study
Survey instrument
Preventive health/health promotion
Fucito 2015 Government 2 USA Medical and Health Sciences
Academia, Health facility
The purpose of this mixed methods study was to understand heavy-drinking smokers' smoking and drinking behaviors and their reactions to a proposed integrated smoking and alcohol treatment program to inform intervention development. The aims were threefold: (1) to describe the self-reported smoking, drinking, and psychological characteristics of heavy-drinking smokers, (2) to characterize heavy drinking smokers' perceptions of smoking and the association between smoking and alcohol use, and (3) to describe heavy drinking smokers' smoking and alcohol treatment preferences.
Cross sectional study, Qualitative research
Community/in-person program
Smoking, alcohol consumption
Gamp 2016 Institutional, Government
2 Germany Behavioural and Cognitive Sciences
Academia Previous research on responses to health risk feedback has commonly focused on the reception of bad news (highrisk feedback). The reception of low-risk feedback has been comparably neglected since it is assumed that good news is reassuring and readily received. However, field studies suggest mixed responses to low-risk health feedback. Accordingly, we examine whether pre-feedback risk expectancies can mitigate the reassuring effects of good news.
Cross sectional study
Individual digital health promotion tool
Not Supplied
Gany 2012 None 10 USA Medical and Health Sciences
Academia, Health facility
Because of their potential to overcome these barriers, health fairs are a promising model for CVD intervention for U.S. South Asian immigrants. This study assesses their ability to identify CVD risk factors in the at-risk population.
Cross sectional study
Community/in-person program
Cardiovascular disease, diabetes, hypertension, hypercholesterolemia
Gatwood 2020 Government 8 USA Medical and Health Sciences
Academia This paper describes an approach to developing theory-based tailored messages designed for mobile phone delivery using both expert and patient input to develop effective messages specific to an underserved, minority population.
Qualitative research
Individual digital health promotion tool
Diabetes
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Ghahari 2018 Industry 12 USA Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Health facility
Hence, the purpose of this research is to accomplish the following objectives: 1) Explore patient experience with CIEDs and CIED remote monitoring; 2) Identify patient preferences for receiving alerts about heart function and other CIED related data; 3) Understand educational support available to patients with CIEDs and other opportunities for providing educational support.
Qualitative research
Individual digital health promotion tool
Chronic heart failure
Gholizadeh 2011
Government 4 Australia Medical and Health Sciences
Academia To better understand Australia-dwelling Middle Eastern womens' lack of service utilization in cardiovascular health, we undertook a study to investigate their understandings and meanings of cardiovascular disease (CVD) and its risk factors.
Qualitative research
Individual digital health promotion tool, Community/in-person program
Cardiovascular disease
Gilmore 2017 Government 7 USA Medical and Health Sciences
Academia Thus, the objective of this study, E-Moms: A personalized mHealth intervention for health and weight loss in postpartum women, is to capitalize on the ease of increased contact and information delivery through SmartPhones to promote weight loss and improve diet quality in overweight and obese postpartum women enrolled in the supplemental nutrition Women, Infants, and Childrens' program.
Randomised controlled trial
Individual digital health promotion tool
Obesity/overweight in postpartum
Ginsburg 2015 Government 7 Canada Medical and Health Sciences
Academia, Health facility, Non-profit organisation
We set out to describe and compare breast cancer stage at diagnosis in Chinese and sa (South Asian) women and in the remaining general population in Ontario.
Cross sectional study
Algorithm Breast cancer
Gonzales 2013 Not Supplied 2 USA Information, Computing, and Communication Sciences; Engineering and Technology
Academia In this paper, we present our findings from interviews and design workshops we have conducted with patients with gynecological cancer and oncologists.
Qualitative research
Individual digital health promotion tool
Ovarian cancer
Goodman 2017 Government 3 USA Medical and Health Sciences; Commerce, Management, and Tourism Services
Academia Thus, the present study summarizes findings from two funded [1] studies that incorporated patient-centered and culturally sensitive approaches to health communication. Specifically, it asks how low-income Hispanic, African-American and non-Hispanic White populations read, understand and respond to health messages with an emphasis on visual messaging.
Qualitative research
Community/in-person program
None
Gordon 2014 Government 9 USA Medical and Health Sciences
Academia, Health facility
Colonoscopy is a particularly important preventive procedure for African Americans because of their excess rates of CRC mortality, more proximal distribution of cancers and adenomas that are addressed more effectively by this method, and the younger mean age at which they develop CRC (Agrawal et al., 2005). Research has shown that African Americans are particularly likely to remain unscreened even when access to screening is available (American Cancer Society, 2010), and although a number of studies have addressed CRC screening behaviors in broad African American populations (Hornik & Ramirez, 2006; James, Campbell, & Hudson, 2002; Katz et al., 2004; Palmer, Midgette, & Buadoo, 2008), no study has used overall orientations toward preventive health practices as a basis for segmentation. This study addressed that gap by developing a typology of patients on the basis of their preventive health practices.
Cross sectional study
Algorithm Colorectal cancer
Gray 2014 Institutional 7 Australia Information, Computing, and Communication Sciences; Medical
Academia, Industry
This paper aims to report empirical findings about the implementation and evaluation of an integrated Internet protocol television 2.0 system.
Qualitative research, Technology/tool testing
Individual digital health promotion tool
Diabetes
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
and Health Sciences
Guinazu 2020 Government, Non-governmental
4 Chile Engineering and Technology; Medical and Health Sciences
Academia The aim of this research is to generated an information fusion model of marijuana use tendency confident enough to be employed by stakeholders. So, we will: (a) collect and process the data from Twitter; (b) design a set of algorithms to estimate the tendency of marijuana use in relation to age, localization and gender, moreover, used a set of processes and activities to verify if our model were performing as expected; and (c) fusion of the information in a model to fully characterize the marijuana use population comparable to the national marijuana consume survey for policy makers utilization to improve drug use prevention.
Technology/tool testing
Algorithm Marijuana use
Guo 2018 Not Supplied 1 China Engineering and Technology
Academia In this paper, we proposed a smartphone powering medical dongle working as a miniaturized electrochemical analyzer incorporating with the corresponding glucose and UA electrochemical test strip to measure blood glucose and UA (uric acid), which has the great commercial potentials incorporating with the disposable test strip for glucose and UA monitoring to provide long-term healthcare or medical service for chronic disease.
Technology/tool testing
Non-diagnostic implanted medical device
Diabetes, gout
Han 2019 Institutional, Government
2 USA Information, Computing, and Communication Sciences
Academia In this paper, we report the curation of a repository of microbial marker genes and predictors built from these markers for microbiome-based prediction of host phenotype, and a computational pipeline called Mi2P (from Microbiome to Phenotype) for using the repository. As an initial effort, we focus on microbial marker genes related to two diseases, type 2 diabetes and liver cirrhosis, and immunotherapy efficacy for two types of cancer, non-small-cell lung cancer (NSCLC) and renal cell carcinoma (RCC). We characterized the marker genes from metagenomic data using our recently developed subtractive assembly approach. We showed that predictors built from these microbial marker genes can provide fast and reasonably accurate prediction of host phenotype given microbiome data.
Clinical prediction rule
Diagnostic test Type 2 diabetes, Cirrhosis, NSCLC (non-small-cell lung cancer), RCC (renal cell carcinoma)
Handley 2016 Government 10 USA Medical and Health Sciences
Academia, Health facility
This paper describes the theoretical framework and development process for STAR MAMA [Support via Telephone Advice and Resources/Sistema Telefonico de Apoyo y Recoursos-MAMA)]. STAR MAMA is a bilingual (English and Spanish) postpartum diabetes prevention ATSM-based health coaching program designed to decrease diabetes risk behaviors among pGDM women in the San Francisco Bay Area. STAR MAMA is focused specifically on implementation of an adapted version of the DPP among primarily younger pGDM Latina women (ages 18-39 years). An ATSM model was selected at the outset because it allows participants to receive content and health coaching support in their primary language on a weekly basis while remaining in their homes, as traveling to appointments and group sessions are known to be an important barrier to receiving preventive services in community settings. We used a theory-informed step-wise approach based on the recently developed COM-B model and Behaviour Change Wheel (BCW) to adapt the DPP to a high-risk population for type 2 diabetes. To our knowledge, the COM-B model and BCW have not been previously applied to
Qualitative research
Individual digital health promotion tool
Gestational diabetes and type 2 diabetes
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
adapting diabetes prevention interventions for high-risk postpartum women.
Hardie 2011 Institutional 1 Australia Medical and Health Sciences
Academia The current study examined Australians’ likely intentions to have their genes tested by a (hypothetical) medical expert in order to explore the roles of general trust in the medical industry, specific trust in the medical expert, and beliefs about the risks and benefits of medical advances on the formation of intentions. It was thought that Australians would readily accept the potential application of genetic technology to personalised health promotion, as they generally endorse the benefits of scientific advances (SNTSM, 2003–2010) and have high levels of trust in medical experts (Hardie & Critchley, 2008).
Cross sectional study
Algorithm Intentions to undertake a genetic test
Haslam 2019 Government 5 UK Medical and Health Sciences; Commerce, Management, and Tourism Services
Academia This paper provides an evaluation of Walking Works Wonders over the intervention period (12 months) and a further 12 months follow-up. Identify whether significant differences exist between changes in the outcome measures for the conditions (standard, staged and control)
Non-randomised experimental study
Community/in-person program
Physical activity
Haze 2013 Not Supplied 2 USA Medical and Health Sciences
Academia The objective of the beta-testing was to study the feasibility and efficacy of using a smartphone to communicate between a patient with asthma and his/her RN care coordinator.
Qualitative research
Individual digital health promotion tool
Asthma
Hernandez 2019
Government 4 USA Social Sciences, Humanities, and Arts (general)
Academia We use indicators of parental and individual educational attainment to test whether smoking bans widen the association between education and smoking behavior.
Cross sectional study
Community/in-person program
Smoking
Hollands 2013 Not Supplied 2 UK Medical and Health Sciences
Academia To examine the motivational impact of the addition of a visual image to a personalized health risk assessment and the underlying cognitive and emotional mechanisms.
Cross sectional study
Individual digital health promotion tool
Not Supplied
Hong 2018 Government, Industry
7 South Korea Physical Sciences; Chemical Sciences; Medical and Health Sciences
Academia Herein, we report an integrated wearable health monitoring system that consists of a disposable sweat-analysis strip for glucose measurement and a wearable smart band for monitoring vital signs such as heart rate (HR), blood oxygen saturation level (SpO2), and physical activity (Figure 1a). Disposable strip-type sensor has been chosen over wearable patch-type sensor in that wearable patches require consideration of sweat inlet/outlet, sweat evaporation, and enzyme degradation over time. In addition, it is difficult for users to perspire continuously without the help of sweat-inducing drugs. By using the integrated system with customized software, we conducted multiple short- and long-term studies with human subjects for different sweat generation methods, physical activities, and collection sites, leading to optimized protocols for accurate and user-friendly sweat analysis. Combining the electrochemical and physiological data collected, we obtained the interdata correlation between glucose-level decrease and physical activity and could estimate post-exercise glucose levels, which is important to prevent the hypoglycemic shock during intense exercise.
Technology/tool testing
Individual digital health promotion tool
Preventive health
Hors-Fraile 2018
International 8 Spain Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Industry
The goal of this study is develop and evaluate the quality of a health recommender system to fill this existing gap.
Non-randomised experimental study
Algorithm Smoking cessation
Huang 2020 Government 3 Taiwan Information, Computing, and
Academia In this paper, we propose a user modeling framework, namely Periodic User Representation Learning (PURL), which learns
Cohort study, Clinical prediction rule
Algorithm Exercise
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Communication Sciences
interpretable user representations based on human temporal event records.
Huang 2019 Institutional, Government
11 USA Information, Computing, and Communication Science; Medical and Health Sciences
Academia, Industry
In this study, we implement Deep Learning-based networks to determine how gene expression data predicts Cox regression survival in breast cancer.
Diagnostic test accuracy study
Algorithm Breast cancer
Huh 2018 Government 1 Korea Information, Computing, and Communication Sciences
Academia I collected big data by applying the machine learning and crawling method to the unstructured citizen health data in Korea and the search data of Naver, which is a Korean portal company, and Google for keyword analysis for personalized health activities. It visualized the big data using text mining and word cloud. This study collected and analyzed the data concerning the interests related to obesity, change of interest on obesity, and treatment articles.
Cross sectional study
Algorithm Obesity
Hwang 2010 Not supplied 1 Taiwan Information, Computing, and Communication Sciences
Academia In order to help elderly to obtain knowledge for stroke precaution, this study provides a health information system and its interface design that specifically addresses the physiological issues for elderly.
Randomised controlled trial, Technology/tool testing
Individual digital health promotion tool
Stroke
Jackson 2014 Non-governmental
5 UK Medical and Health Sciences; Behavioural and Cognitive Sciences
Academia The purpose of this paper is to compare the physical activity and sedentary behaviours over 12 months of employees within and across five UK organisations. The paper also explores the association of these health behaviours with objective and self-reported health outcomes; and investigates the association between physical activity and sedentary behaviours.
Non-randomised experimental study
Algorithm Physical activity, sedentary behavior
Jacobs 2018 Government 3 USA Engineering and Technology
Academia We developed MyPath, a mobile health application, to address these common challenges related to accessing and using health information following a cancer diagnosis, connecting patients with personalized and dynamic educational material.
Technology/tool testing
Individual digital health promotion tool
Breast cancer
Jacobs 2014 Not Supplied 4 USA Medical and Health Sciences; Studies in Human Society
Academia The purpose of this research was to adapt a theoretically-based computer application (initially developed for English-speaking HIV-positive persons) that will provide linguistically and culturally appropriate tailored health education to Spanish-dominant Hispanics with HIV.
Cross sectional study, Qualitative research
Individual digital health promotion tool
HIV
Jacobs 2016 Not Supplied 2 USA Not Supplied Academia The goal of this study was to investigate factors associated with medication adherence in our study population to help guide future disease self-management skills to older adults with multimorbid chronic conditions using mobile technology.
Qualitative research
Individual digital health promotion tool
medication adherence for people with for at least two major non-communicable chronic conditions (e.g., diabetes, hypertension, hypercholesterolemia, congestive heart failure)
Jang 2018 Not Supplied 2 USA Information, Computing, and Communication Sciences; The Arts
Academia This study investigated whether individuals with different socioeconomic status (SES) should be provided differently tailored health messages to promote healthy dietary behaviour (HDB).
Cross sectional study
Individual digital health promotion tool, Community/in-person program
Not Supplied
Kampusch 2016
Government 6 Austria Engineering and Technology; Medical and Health Sciences
Academia In this paper, we present a survey on satisfaction with and demands for a wearable medical device for percutaneous auricular vagus nerve stimulation (pVNS).
Cross sectional study
Non-diagnostic implanted medical device
Aspects of improvement of current pVNS treatment for people with chronic lower extremity ulcers, chronic pain,
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
neurological disorders, acute pain, peripheral arterial occlusive disease, and other diseases
Kang 2019 Government 2 Korea Medical and Health Sciences
Academia We hypothesized that some loci modify the effects of obesity on dyslipidemia risk and analyzed extensive gene-environment interactions at genome-wide levels to search for replicated gene-obesity interactive SNPs.
Cross sectional study
Algorithm Dyslipidemia - risk factor for CVD
Karatekin 2018 None 3 USA Medical and Health Sciences; Commerce, Management, and Tourism Services
Academia The goal was to identify factors that might affect likelihood of seeking health-related interven-tions for young adults with adverse childhood experiences (ACEs).
Cross sectional study
Individual digital health promotion tool, Community/in-person program
Mental health
Karkar 2016 Institutional, Government, Industry
7 USA Social Sciences Humanities, and Arts (general); Information, Computing, and Communication Sciences; Medical and Health Sciences; Studies in Human Society; Behavioural and Cognitive Sciences
Academia Motivated by these gaps, we are pursuing an interdisciplinary research program to develop and test a methodological framework for SCDs in health self-experimentation. This paper details components of this framework and presents a case study: a mobile application supporting self-experimentation for people with irritable bowel syndrome (IBS).
Text and opinion
Individual digital health promotion tool
Irritable bowel syndrome
Kasthurirathne 2020
Non-governmental
6 USA Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Health facility, Non-profit organisation
The objective of this study was to leverage a comprehensive range of clinical, behavioral, social risk, and social determinants of health factors in order to develop decision models capable of identifying patients in need of various wraparound social services.
Cross sectional study, Clinical prediction rule
Algorithm Need to access social services
Katariya 2018 Not Supplied 5 Not Applicable (Online)
Information, Computing, and Communication Sciences; Engineering and Technology
Industry In this paper, we present a system to generate personalized health recommendations from various providers, based on classification of health related calendar events on the user's smartphone.
Technology/tool testing
Algorithm Health promotion
Kemp 2019 Government 3 USA Social Sciences, Humanities, and Arts (general); Medical and Health Sciences
Academia, Government
Our goal is to understand how health care is managed and experienced in AL (Assisted Living) by residents and their care network members.
Cohort study, Qualitative research
Community/in-person program
Not Applicable
Kemp 2018 Non-governmental
6 Australia Medical and Health Sciences
Academia, Health facility
The aims of this study were to determine (i) what is the feasibility of a randomised controlled trial (RCT) investigating a targeted physiotherapy intervention for early-onset hip osteoarthritis (OA) post-hip arthroscopy? and (ii) what are the within-group treatment effects of the physiotherapy intervention and a health-education control group?
Randomised controlled trial, Qualitative research
Community/in-person program
Early-onset hip osteoarthritis
Kemp 2015 Industry, Non-governmental
5 Australia Medical and Health Sciences
Academia, Health facility
The primary aim is to establish the feasibility of a phase III randomised controlled trial investigating a targeted physiotherapy intervention for people with early-onset hip osteoarthritis.
Randomised controlled trial, Protocol
Community/in-person program
Early-onset hip osteoarthritis
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Kerrigan 2020 Government, Industry
15 Dominican Republic, Tanzania
Mathematical Sciences; Medical and Health Sciences; Studies in Human Society
Academia, Industry, Health facility
The purpose of this analysis was to assess interest in LA ART (Long-acting injectable antiretroviral therapy) among FSW (female sex workers) living with HIV and to identify factors that could facilitate or inhibit its future use as part of routine care, using a mixed methods approach.
Qualitative research, Non-randomised experimental study
Community/in-person program
HIV
Kessels 2011 Not Supplied 4 Netherlands Medical and Health Sciences
Academia, Health facility
The present study examined whether the predicted increased attention for the tailored as opposed to general nutrition education messages is moderated by presenting high vs. low threat information about the negative consequences of an unhealthy diet.
Non-randomised experimental study
Community/in-person program
Dietary intake
Khalilia 2011 Institutional 3 USA Mathematical Sciences; Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia We present a method utilizing Healthcare Cost and Utilization Project (HCUP) dataset for predicting disease risk of individuals based on their medical diagnosis history. The presented methodology may be incorporated in a variety of applications such as risk management, tailored health communication and decision support systems in healthcare.
Clinical prediction rule
Algorithm All diseases in general, top 8 are: Hypertension, Coronary Atherosclerosis, Hyperlipidemia, Dysrhythmia, Other Circulatory Diseases, Diabetes mellitus no complication, Anemia
Kim 2017 Not Supplied 3 Korea Information, Computing, and Communication Sciences
Academia The present study intends to validate the role of different types of information tailoring (personalization vs. customization) and framing (promotion vs. prevention) strategies in shaping user attitudes toward and perceptions of health information and increasing the tendency for self-preservation.
Randomised controlled trial
Individual digital health promotion tool
Influenza, food poisoning, bird flu, and mites (as test cases for the messaging strategies evaluated)
Kim 2015 Government 12 Korea Medical and Health Sciences
Academia, Health facility, Non-profit organisation
To solve this problem, we recently generated a new u-healthcare system using a voice inception technique for monitoring information about glucose control, physical activity and diet. We believe that this new method is easier to use. We investigated the efficacy of the new u-healthcare service in managing glucose control without causing hypoglycemia in an elderly population.
Randomised controlled trial
Individual digital health promotion tool
Type 2 diabetes
Kitagawa 2015 Institutional 1 Nairobi Policy and Political Science
Academia This paper presents findings from a randomized field experiment that evaluates the impact of a Short Message Service (SMS) sexual health counseling service on individuals' knowledge and behavior in an urban informal settlement of Nairobi, Kenya.
Randomised controlled trial
Individual digital health promotion tool
Sexual and reproductive health
Kizakevich 2018
Government 10 USA Science (general); Medical and Health Sciences
Academia In this work, we set out to advance the use of resilience building techniques for individuals with subclinical psychological health issues through innovation in mobile health assessment and self-help intervention. To better support research in this domain, we first created the Personal Health Intervention Toolkit (PHIT), a mobile application (app) framework for personalized health intervention studies. Using this new framework, we implemented PHIT for Duty, an evidence-based app with mindfulness-based relaxation training, behavioral education in sleep quality and alcohol use, and psychometric and psychophysiological data capture for mobile health research. This article introduces and evaluates these technologies in the context of usability and health assessment quality.
Technology/tool testing
Individual digital health promotion tool
PTSD, mental health
Kulyk 2015 Government 4 The Netherlands
Medical and Health Sciences
Academia, Government
The aim of this exploratory user study is to identify the persuasive features and design factors that contribute to the use and uptake of existing and new health technologies.
Qualitative research
Individual digital health promotion tool
Sexual health
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Lan 2012 Industry 9 Taiwan Information, Computing, and Communication Sciences
Academia, Industry
In this paper, we proposed an effective mechanism for chronic disease risk prediction by mining the data containing historical health records and personal life style information.
Technology/tool testing
Algorithm Not Supplied
Lee 2012 Government 6 Korea Information, Computing, and Communication Sciences; Engineering and Technology; Medical and Health Sciences; Studies in Human Society
Academia The purpose of this study was to explore possibilities related to health promotion nursing interventions utilizing the system as a tool.
Cohort study Individual digital health promotion tool
Hypertension, obesity
Lee 2014 Government 7 USA Information, Computing, and Communication Sciences; Engineering and Technology; Medical and Health Sciences
Academia The objective of the study was to explore the attitudes and preferences of older adults on warfarin therapy regarding the use of mHealth technology and health games to gain skills for self-management.
Qualitative research
Individual digital health promotion tool
Blood clots
Lee 2014 Government 8 Korea Information, Computing, and Communication Science; Engineering and Technology; Medical and Health Sciences
Academia, Government
The purposes of this study were to identify the factors that affect the health-related quality of life (HRQoL) of the elderly with chronic diseases and to subsequently develop from such factors a prediction model to help identify HRQoL risk groups that require intervention.
Clinical prediction rule
Algorithm Chronic diseases
Leinonen 2017 Institutional, Government, Non-governmental, International
13 Finland Physical Sciences; Information, Computing, and Communication Sciences; Engineering and Technology; Medical and Health Sciences; Studies in Human Society
Academia, Industry, Health facility, Defense
The study aimed to study the feasibility of an automated, gamified, tailored Web-based mobile service aimed at physical and social activation among young men.
Randomised controlled trial
Individual digital health promotion tool
Physical activity
Liang 2011 Not Supplied 2 USA Information, Computing, and Communication Sciences
Academia Using netnography, a well structured internet-based ethonography, we analyze discussion threads posted to an obesity support group on a popular health SNS based in the US. We classify e-group members as support seekers and providers.
Qualitative research
Community/in-person program
Various health conditions
Lim 2011 Institutional, Government
12 South Korea Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Industry, Health facility
To improve quality and efficiency of care for elderly patients with type 2 diabetes, we introduced elderly-friendly strategies to the clinical decision support system (CDSS)-based ubiquitous healthcare (u-healthcare) service, which is an individualized health management system using advanced medical information technology.
Randomised controlled trial
Individual digital health promotion tool
Type 2 Diabetes
Lim 2018 Institutional, Government, Non-governmental
17 Singapore Medical and Health Sciences
Academia, Health facility
In this study, our goal was to investigate the utility of consumer-grade wearables in cardiovascular and lipidomics research.
Cross sectional study
Individual digital health promotion tool
Cardiovascular and metabolic disorders
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Liu 2019 Government 4 China Medical and Health Sciences
Academia To explore the effect of individualized health management on angina patients, a total of 98 patients with angina pectoris admitted to our hospital from January 2017 to June 2017 were enrolled.
Randomised controlled trial
Community/in-person program
Angina pectoris
Liu 2020 Government 4 Not Supplied Information, Computing, and Communication Sciences; Behavioural and Cognitive Sciences
Academia We conducted computational experiments on both synthesized data and a clinical autism data set to assess performance quantitatively for coverage of pre-defined cohorts and qualitatively for novel knowledge discovery, respectively. We also conducted a scaling analysis using a distributed computing environment to suggest computational resource needs for when the subpopulation number increases. This work will provide a robust data-driven framework to automatically tailor potential interventions for precision health.
Technology/tool testing
Algorithm Autism
Liu 2018 Institutional, Government
1 USA Medical and Health Sciences
Academia Therefore, the aim of the study was to determine whether a health partner program may alleviate depressive symptoms among healthy overweight/obese individuals at 1 year.
Non-randomised experimental study
Community/in-person program
Obesity; depression
Lohmann 2013 Not Supplied 15 Not Supplied Medical and Health Sciences
Industry The aim of the pre-clinical and early clinical data generation was to select the most appropriate biomarkers for prospective hypothesis testing and ultimately for potential companion diagnostics (Dx) development.
Diagnostic test accuracy study
Diagnostic test Cancer
Lu 2020 Government 11 Not Supplied Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia Here, we utilized a network-based clustering algorithm (i.e., BigCLAM) to obtain 208 typical SCs across disease conditions on a large-scale symptom network derived from integrated high-quality disease-symptom associations. Furthermore, we evaluated the underlying shared molecular mechanisms for SCs, i.e., shared genes, protein-protein interaction (PPI) and gene functional annotations using integrated networks and similarity measures
Clinical prediction rule
Diagnostic test Not Supplied
Lumpkins 2020 Non-governmental
5 USA Medical and Health Sciences
Academia, Non-profit organisation
This study was designed to gather pilot data through community participation with FBOs (faith-based organizations) in the Midwest of the United States, specifically through engagement with African American community members. Participants’ attitudes, perceptions, and beliefs toward genetics and CGT as well as their opinions toward tailored health promotion strategies targeting African Americans were explored.
Qualitative research
Community/in-person program
Cancer
Luo 2020 Government 12 China Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Health facility
This study aimed to discuss how to fully reveal the health information needs expressed by patients with hypertension in their questions in a web-based environment and how to use the internet to help patients with hypertension receive personalized health education.
Cross sectional study
Algorithm Hypertension
Mabuto 2017 Government 3 South Africa Medical and Health Sciences
Academia, Non-profit organisation
We sought to describe how a strategy of interpersonal communication allows for precision health communication to influence behavior regarding care engagement.
Qualitative research
Community/in-person program
HIV
Magadzire 2017
Non-governmental; International
4 Mozambique Not Supplied Government, Non-profit organisation
This study will assess the magnitude and causes of MOV (missed opportunities for vaccination) in three provinces that have received varying degrees of vaccine delivery strengthening interventions (e.g. optimized vaccine supply chain) and short-term interventions (e.g. immunization campaigns). This study will allow for some comparisons by province or type of barrier (e.g. vaccine shortages or other logistics barriers; the failure or inability of health providers to screen patients for eligibility; perceived contraindications to vaccination on the part of providers and parents).
Qualitative research, Protocol
Community/in-person program
Children vaccination
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Marthick 2019 Not Supplied 6 Australia Medical and Health Sciences
Academia, Health facility, Non-profit organisation
This study aimed to explore the participant experience and perception of using an interactive Web-based portal for monitoring physical activity, remote symptom reporting, and delivering educational components.
Qualitative research
Individual digital health promotion tool
Cancer
Martinsson 2018
Not Supplied 6 Sweden Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Industry, Health facility
We present an approach for predicting blood glucose levels for diabetics up to one hour into the future.
Technology/tool testing
Algorithm Type-1 diabetes
McHugh 2012 Not Supplied 2 USA Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Health facility
This study aimed to evaluate the effects of a commercially available web-based tailored communication intervention on the health biometrics of overweight and obese employees 2 years after initial biometric collection.
Non-randomised experimental study
Individual digital health promotion tool
Overweight, obesity
McPhee 2020 Non-governmental
4 Canada Medical and Health Sciences
Academia The primary objective of this study was to explore the effect of an individualized health-risk report intervention on changes in perceived disease risk in adults with CP (cerebral palsy). Secondary aims were to assess the relationship between health risk factors and perceived disease risk, and whether changes in perceived disease risk predict changes in PA (physical activity).
Case series Community/in-person program
Heart disease, diabetes, obesity
McReynolds 2019
Not Supplied 2 USA Medical and Health Sciences
Academia To review the current state of genomics and genetic testing in prostate cancer. DATA SOURCES: National guidelines, evidence-based summaries, peerreviewed studies, and Web sites. A case study is presented to illustrate key points.
Case report Diagnostic test Prostate cancer
Meng 2020 Institutional, Government
12 China Physical Sciences, Engineering and Technology
Academia Here, we present a textile-based sensor (TS) with greatly improved wearing comfort for practical and long-term continuous on-body biomonitoring.
Technology/tool testing
Non-diagnostic implanted medical device
Cardiovascular disease, obstructive sleep apnea-hypopnea syndrome
Mohan 2018 Non-governmental
12 India Medical and Health Sciences
Academia, Health facility, Non-profit organisation
This paper describes the design and methods of UDAY- A Comprehensive Diabetes and Hypertension Prevention and Management Program In India.
Case series, Protocol
Individual digital health promotion tool, Community/in-person program
Type 2 diabetes, hypertension
Moore 2019 Institutional, Government
9 USA Medical and Health Sciences; Behavioural and Cognitive Sciences; Philosophy and Religion
Academia We describe a program of research addressing the identification of brain biomarkers that differentially predict responses to two types of health information (analytic focused and emotion focused) designed to support optimal self-management of chronic conditions.
Cross sectional study
Algorithm Not Supplied
Mozafarinia 2020
Government 5 Canada Medical and Health Sciences
Academia, Health facility
To develop a personalized health outcome profile as a feedback tool to improve self-management in people living with chronic conditions such as HIV and (2) to evaluate the interpretability and usefulness of the feedback tool for setting specific goals.
Cross sectional study
Individual digital health promotion tool
HIV
Nag 2018 Not supplied 6 USA Not Supplied Academia In this work we fuse multiple user created and open source data streams along with established biomedical domain knowledge to give two types of quantitative state estimates of cardiovascular health. First, we use wearable devices to calculate cardiorespiratory fitness (CRF), a known quantitative leading predictor of heart disease which is not routinely collected in clinical settings.
Technology/tool testing
Algorithm Not Supplied
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Nakamura 2018 Government 11 Japan Social Sciences, Humanities, and Arts (general); Medical and Health Sciences
Academia, Government, Health facility
We investigated whether 2 types of personalized health guidance (repeated and single counseling) in the Japanese nationwide cardiovascular prevention system promoted smoking cessation among smokers.
Non-randomised experimental study
Community/in-person program
Smoking cessation
Nedungadi 2018
Not Supplied 3 India Information, Computing, and Communication Sciences; Commerce, Management, and Tourism Services
Academia This paper describes the concept of AmritaJeevanam, which aims to provide a one-of-a-kind healthcare platform that targets the needs of rural populations.
Diagnostic test accuracy study
Individual digital health promotion tool
Not Supplied
New 2020 Institutional, Industry
2 USA Mathematical Sciences; Information, Computing, and Communication Sciences
Academia This class of study analyzes the association between one or more response condition(s) for us, bloodpressure and hypertension and many different environmental exposure risk factors, such as trace metals and pesticides. Using the SCM, we generalize existing environmental exposure risk analysis methods.
Technology/tool testing
Algorithm Hypertension
Newman-Casey 2018
Government 7 USA Medical and Health Sciences
Academia This study was designed to pilot a personalized intervention that leverages these strategies (reminder systems and motivational interviewing (MI)-based counseling) to assess their impact on medication adherence in glaucoma patients.
Case series, Protocol
Individual digital health promotion tool, Community/in-person program
Glaucoma
Nishita 2011 Not Supplied 3 USA Medical and Health Sciences
Academia This study explores perceptions on the impact of diabetes on future independence and employment.
Cross sectional study
Individual digital health promotion tool
Type 2 Diabetes
Noar 2011 Institutional 5 USA Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Health facility
The purpose of the current investigation was to apply the attitude-social influence-efficacy (ASE) model to achieve a theory-based understanding of condom use among low income, heterosexually active African-American STD clinic patients.
Cross sectional study
Community/in-person program
Heterosexually active African-American STD clinic patients
Noble 2015 Institutional, Government
5 Australia Medical and Health Sciences
Academia, Health facility
The aims of this study were to examine the acceptability and effectiveness of providing generic compared to tailored feedback on self-reported health risk behaviours among a high need sample of people attending an Aboriginal Community Controlled Health Service (ACCHS).
Randomised controlled trial
Community/in-person program
Cardiovascular disease, Type 2 Diabetes, Cancer
Oh 2014 Institutional 6 South Korea Medical and Health Sciences
Academia In this randomized controlled trial, we examined the effects of a 3-month therapeutic lifestyle modification (TLM) intervention on knowledge, self- efficacy, and health behaviors related to bone health in postmenopausal women in rural Korea
Randomised controlled trial
Community/in-person program
Osteoporosis
Page 2014 Not Supplied 4 USA Information, Computing, and Communication Sciences; Engineering and Technology
Academia In this paper, we aim at dealing with this challenge for the application of automated seizure detection. We explore the use of a variety of representations and machine learning algorithms to the particular task of seizure detection in high-resolution, multi-channel EEG data. In doing so, we explore the classification accuracy, computational complexity and memory requirements with a view toward understanding which approaches are most suitable.
Technology/tool testing
Algorithm Seizure
Pak 2018 Government, Non-governmental
30 Burkina Faso, the Democratic Republic of the Congo, Ethiopia, Ghana,
Medical and Health Sciences
Academia, Government, Non-profit organisation
The objective of the Health Population Africa (HPAfrica) study is to determine health behaviour and population-based factors, including socioeconomic, ethnographic, hygiene and sanitation factors, at sites of the Severe Typhoid Fever in Africa (SETA) programme.
Cross sectional study, Protocol
Algorithm Typhoid fever
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Madagascar, Nigeria
Patel 2015 Institutional 5 USA Medical and Health Sciences
Health facility
The aim of this study is to explore patient and provider attitudes and interest in a proposed clinic-based tablet system for personal health information exchange. To provide a context to understand patients' use of tablets during their clinic visit, we also examine patients' current activities and time spent in the waiting room, and their use of health information resources.
Cross sectional study
Community/in-person program
Health in general
Paterno 2020 Government 3 USA Biological Sciences
Academia The purpose of this pilot, randomized controlledtrial was to determine the feasibility of recruitment (i.e., recruiting a 20% minority sample, most successfulrecruitment methods), retention, adherence, and data collection methods with a sample of pregnant women(n = 24) at 24 weeks gestation for a 12-week intervention using a PHM device.
Randomised controlled trial
Individual digital health promotion tool
Behaviour, sleep
Pathinarupothi 2019
Not Supplied 3 India Engineering and Technolog; Medical and Health Sciences
Academia We present an IoT-based smart edge system for remote health monitoring, in which wearable vital sensors transmit data into two novel software engines, namely rapid active summarization for effective prognosis (RASPRO) and criticality measure index (CMI) alerts, both of which we have implemented in the IoT smart edge.
Technology/tool testing
Individual digital health promotion tool
Cardiac risk
Pethiyagoda 2016
Government, Industry
4 Not Supplied Biological Sciences; Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia This paper attempts to create a usable clinical decision support system (PEPCOR) that would help improve personalized health care and avoid unnecessary secondary, and costly, procedures that do not improve the care of a critically ill patient.
Case report Algorithm Hospital complications
Pleasant 2020 Government 3 USA Medical and Health Sciences
Industry In particular, a best practice of health literacy is the imperative to know your audience and tailor interventions to that audience. In this article, we focus upon formative research as a critically important method to achieve those ends.
Qualitative research
Community/in-person program
Chronic disease prevention
Poorani 2018 Institutional 6 India Information, Computing, and Communication Sciences; Engineering and Technology
Academia This paper proposed a hybrid model NB3AkMGA for a personalized health care using machine learning methods and genetic algorithm
Technology/tool testing
Algorithm Not Applicable
Popescu 2011 Institutional 2 USA Information, Computing, and Communication Sciences
Academia In this paper we compare the disease prediction based on crisp DRG features with the results obtained employing a new set of features that consist of the fuzzy membership of patient diagnoses in the DRG groups.
Technology/tool testing
Algorithm Hypertension, diabetes mellitus, and coronary atherosclerosis
Pozaic 2013 Not Supplied 4 Croatia Information, Computing, and Communication Sciences; Engineering and Technology
Academia We have developed Wireless Body Area Network for continuous and personalized health monitoring of basic physiological parameters (ECG, breathing rate and body temperature) and added the functionality of mobility measurement and closed-loop assisted strength exercising.
Technology/tool testing
Individual digital health promotion tool
Physical activity
Prichard 2015 Government 4 Australia Medical and Health Sciences; Behavioural and Cognitive Sciences
Academia, Non-profit organisation
This quasi-experimental study aimed to determine whether a Family Health History (FHH) assessment and the subsequent provision of risk information would increase young adults' (17-29 years) intentions to modify health behaviours associated withthe risk of these chronic diseases (i.e. alcohol consumption, fruit and vegetable intake and physical activity) and to talk to their family about their risk.
Non-randomised experimental study
Community/in-person program
Colorectal cancer, breast cancer, heart disease and diabetes
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Qin 2018 Institutional, Government
2 China Chemical Sciences
Academia The present study, amied to investigate the potential application of Eu3+functionalized metal-organic frameworks for the effective detection of the 1-N in human urine.
Diagnostic test accuracy study
Diagnostic test Neurological disorder, cancer
Qin 2019 Not Supplied 6 China Medical and Health Sciences
Health facility
To explore the influence of self-perceived burden, fatigue and negative emotions on the coronary atherosclerotic cardiopathy patients by the individualized health management.
Non-randomised experimental study
Community/in-person program
Coronary atherosclerotic cardiopathy
Raat 2013 Government 10 The Netherlands
Medical and Health Sciences; Policy and Political Science
Academia, Non-profit organisation
The aim of this study is to assess the effects of the two overweight prevention interventions with regard to child health behaviors and child Body Mass Index.
Randomised controlled trial, Protocol
Community/in-person program
Overweight and obesity in early childhood
Rabbi 2015 Industry 4 USA Engineering and Technology
Academia This paper introduces MyBehavior, a smartphone application that takes a novel approach to generate deeply personalized health feedback.
Cohort study Individual digital health promotion tool
Preventive health (weight loss)
Rapisarda 2013 Not Supplied 11 Italy Medical and Health Sciences
Academia The development of NHL among HCV-infected HCWs has recently been shown. To investigate this issue further a tailored health surveillance program was applied to 3,138 HCWs from four Medical Institutions.
Cross sectional study
Algorithm Non-Hodgkin lymphoma (NHL) among hepatitis C virus (HCV)-infected individuals
Reid 2018 Government 8 South Africa Medical and Health Sciences
Academia The current study aimed to develop a health dialogue model by applying a multiple-methods design informed by the United Kingdom Medical Research Council’s guidelines for the development and evaluation of complex interventions.
Qualitative research
Community/in-person program
Type2 diabetes
Rezai 2019 Government 6 Canada Information, Computing, and Communication Sciences; Engineering and Technology; Medical and Health Sciences
Academia The goal of this study was to explore the impact of message tailoring, when tailoring was grounded in Higgins' Regulatory Fit Theory, and messages were constructed to promote physical activity.
Non-randomised experimental study
Individual digital health promotion tool
Sedentary lifestyle
Rikard 2012 Institutional 5 USA Medical and Health Sciences
Academia, Non-profit organisation
The present research describes a community and university project to develop a culturally tailored HIV/AIDS HL toolkit in the African American community
Qualitative research
Community/in-person program
HIV/AIDS
Rosas 2020 Not Supplied 12 USA Medical and Health Sciences, Studies in Human Society
Academia, Industry, Government, Non-profit organisation
The goal of this study was to examine views from these groups about precision health and precision health research to inform strategies for conducting precision health research that will address health disparities.
Qualitative research
Community/in-person program
Health disparities
Rosenberg 2016
None 10 USA Medical and Health Sciences
Health facility
The LIFE Cancer Survivorship Program at North Shore University Health System provides risk-adapted visits (RAV) facilitated by an oncology nurse during which a survivorship care plan (SCP) is provided and discussed. In this report, we describe and evaluate RAV in promoting individualized health care and self-management during survivorship transition
Cohort study Community/in-person program
Transitional care for adult post-treatment cancer survivors
Rykov 2020 Government 7 Singapore Engineering and Technology; Medical and Health Sciences; Commerce, Management, and Tourism Services
Academia Thus, the objective of this study was to investigate the associations between different activity metrics retrievable from a consumer-grade fitness tracker and major modifiable biomarkers of cardiometabolic disease, relying on prolonged activity monitoring.
Cross sectional study
Individual digital health promotion tool
Cardiometabolic disease
Samaan 2013 Non-governmental
11 Canada Medical and Health Sciences
Academia Among at-risk South Asians living in Canada, our objectives are to determine: (1) the feasibility of a culturally tailored multimedia intervention to induce positive behavioral changes associated with reduced MI risk factors, and (2) the
Randomised controlled trial
Individual digital health promotion tool
Myocardial infarction
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
effectiveness and acceptability of information communicated by individualized MI and genetic risk score (GRS) reports.
Sant'anna 2014 Institutional 1 Sweden Information, Computing, and Communication Sciences
Academia In order to investigate this matter, we undertook a pilot study aimed at determining if and how activity monitoring can support person-centered care routines for patients undergoing total hip replacement surgery. This is a preliminary report describing the methodology, preliminary results, and some practical challenges.
Technology/tool testing
Individual digital health promotion tool
Total hip replacement
Sastre 2019 Institutional 3 USA Medical and Health Sciences
Academia This project examined health behaviors of newly arrived immigrant and refugee youth through digital photography as part of a health promotion intervention.
Qualitative research
Individual digital health promotion tool
Health promotion
Savage 2018 Government 8 Canada Medical and Health Sciences
Academia, Government, Health facility
We sought to understand how South Asian VFR (visit friends and relatives) travelers perceived and responded to travel-related health risks by conducting group interviews with 32 adult travelers from an ethnoculturally diverse Canadian region
Qualitative research
Community/in-person program
Travel-related health risk
Schussler-FiorenzaRose 2019
Institutional, Government
30 USA Information, Computing, and Communication Sciences; Engineering and Technology; Medical and Health Sciences
Academia, Government, Health facility,
The study objectives were three-fold. We first evaluated the usefulness of emerging technologies in combination with standard and enhanced clinical tests to detect diseases early. We then characterized multi-omics associations with clinical pathophysiologies including glucose and insulin dysregulation, inflammation and cardiovascular risk; we also evaluated the ability of multi-omics measures to predict insulin resistance and response to glucose load. Last, we examined how participation affected health habits.
Cohort study Algorithm Type 2 diabetes
Sengupta 2019 Institutional 3 Not Supplied Engineering and Technology
Academia Herein, we report a sensitive, 3D squeezable graphene-polydimethylsiloxane (PDMS) foam-based piezo resistive sensor realized by infusing multilayered graphene nanoparticles into a sugar-scaffolded porous PDMS foam structure.
Technology/tool testing
Individual digital health promotion tool
Gait characteristics as indicators for diseases such as Parkinsons, multiple sclerosis
Sim 2017 Institutional, Government
20 South Korea Information, Computing, and Communication Sciences; Medical and Health Sciences; Policy and Political Science
Academia, Health facility
Finally, the aim of this study was to investigate the perceived need of cancer patients for ICT-based self-management programs and the association of this need with several sociodemographic variables and medical experience including information provision, decisional conflicts, and health-related quality of life (HRQOL).
Cross sectional study
Individual digital health promotion tool
Cancer
Simione 2020 Institutioanl, Government
10 USA Medical and Health Sciences
Academia, Health facility
The purpose of this study is to evaluate the psychometric properties of a modified version of the Family Centered-Care Assessment (mFCCA) tool and to assess the family-centeredness of two clinical-community childhood obesity interventions.
Randomised controlled trial
Community/in-person program
Childhood obesity
Smith 2020 Government 4 UK Medical and Health Sciences
Academia, Industry
This paper investigates whether DEMQOL and DEMQOL-Proxy can be placed on the same continuum and consequently whether a revised scoring algorithm, based on this equated model can be developed that takes account of the relationship between self- and proxy-reports.
Cross sectional study
Algorithm Dementia
Stewart 2019 Institutional 7 Not Supplied Medical and Health Sciences
Academia With interest in personalised health care growing, so is interest in personal genetic testing. This is now offered direct-to-consumer, thereby referred to as direct-to-consumer genetic testing (DTC-GT). Criticisms have been expressed on whether a truly informed decision to undergo testing is made with regard to these services. In order to provide relevant information to achieve this, knowing the characteristics of the expected user population is helpful. Therefore, the aim of this study is to identify characteristics of individuals who (1) find
Cross sectional study
Community/in-person program
Common chronic diseases
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
the concept of DTC-GT acceptable and (2) consider undergoing DTC-GT in the distant or near future.
Stewart 2018 Institutional 4 The Netherlands
Biological Sciences; Medical and Health Sciences
Academia The primary aim of the study is to study the effect of the Health Potential advice on change in lifestyle behaviour in distinguishable customer populations. The secondary aims are (1) to study the effect of the Health Potential service on determinants of behaviour change, (2) to study the effect of additional lifestyle counselling on behaviour change and determinants thereof, and (3) to study the characteristics of the Health Potential customer.
Randomised controlled trial, Non-randomised experimental study, Protocol
Community/in-person program
Not Supplied
Stienen 2015 Government 9 The Netherlands
Medical and Health Sciences
Academia, Health facility
This study evaluates an educational e-tool for patients with non-Hodgkin's lymphoma (NHL) designed to meet patient needs with respect to personalized and complete health-related information provision. The e-tool aims to help NHL patients manage and understand their personal care pathway, by providing them with insight into their own care pathway, the possibility to keep a diary, and structured health-related information.
Technology/tool testing
Individual digital health promotion tool
Non-Hodgkin's lymphoma
Stolee 2012 Not Supplied 7 Canada Medical and Health Sciences; Studies in Human Society
Academia, Health facility, Non-profit organisation
To assess the feasibility and utility of GAS in a multi-site study of six GDH affiliated with the Regional Geriatric Programmes of Ontario.
Cross sectional study Cross sectional study
Community/in-person program
Geriatric care for people with co-morbid chronic medical conditions
Sturm 2018 Institutional, Government, Non-governmental
8 USA Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia We examined patient preferences in the context of use of a post-test genomic counseling framework on patients (n = 44) with chronic disease receiving online test reports for eight different diseases and one drug-response result. We also explored patients’ disease risk awareness, recall of test report information, and confidence in knowing what to do with their test results.
Cross sectional study Cross sectional study
Non-diagnostic implanted medical device
Genetic disease
Sullivan 2020 Institutional, Government
3 USA Engineering and Technology; Medical and Health Sciences
Academia This study examines the prognostic ability of 12- and 24-month mortality risk reflected in the OASIS-SQ and develops an alternative approach for classifying mortality risk to support decision-making in the absence of the OASIS-SQ.
Cohort study Community/in-person program
Mortality risk
Sun 2019 Government 5 China Medical and Health Sciences
Academia, Health facility
To investigate the application of self-care based on full-course individualized health education (FCIHE) and its influencing factors in patients with chronic heart failure (CHF).
Randomised controlled trial
Community/in-person program
Chronic heart failure
Sztyler 2015 Government, International
5 Not Supplied Engineering and Technology
Academia We want to develop an application which monitors the personal lifestyle of the users and provides appropriate visualizations. However, this still needs a sufficient acceptance because the user has to view and interpret the visualizations. Therefore, we also want to provide automatically generated recommendations resulting from the monitoring data and, e.g., references (practical guidance). In the long term, we also have to automatically recognize a persona's daily activities such as different types of sports and desk work. This is necessary to ensure that the required user input is a minimum which also is a requirement to make the application practical.
Technology/tool testing
Individual digital health promotion tool
Not Supplied
Tabatabaei 2018
Not Supplied 3 Not Applicable
Information, Computing, and Communication Sciences
Academia Because of its focus on finding suitable actions/interventions that lead to long term rewards, reinforcement learning is very suitable for personalization but requires a substantial learning period. To overcome this so-called cold start problem, we propose a novel approach called narrowing reinforcement learning.
Technology/tool testing
Algorithm Physical activity
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Takahashi 2014 Government, Non-governmental
20 Japan Biological Sciences; Medical and Health Sciences
Academia, Government, Health facility
Therefore, in a previous study, we proposed a combined method consisting of a knowledge-based algorithm, 2 stages of screening, and a permutation test for identifying SNPs. In the present study, we applied this method to a pharmacogenomics study where 109,365 SNPs were genotyped using Illumina Human-1 BeadChip in 168 cancer patients treated with irinotecan chemotherapy.
Diagnostic test accuracy study
Diagnostic test Cancer
Tampubolon 2018
Not Supplied 2 Indonesia Medical and Health Sciences
Academia In this study, the author analyzed the outcome of skin tissue repair dorsal-slit and laser (cauterization) through expression of tenascin-C. (TNC) is an extracellular glycoprotein expressed during embryogenesis and markedly increased in wound healing, especially in resolution phase.
Diagnostic test accuracy study
Diagnostic test Would healing
Taualii 2014 Government 7 USA Medical and Health Sciences
Academia, Non-profit organisation
This study explored Native Hawaiian perceptions of and expectations for biobanking.
Qualitative research
Non-diagnostic implanted medical device
Cancer
Taylor 2018 Government 5 USA Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Government
The objective of this qualitative study is to describe the health information work of FF (family and friends) in the context of OA (older adults) PHIM, identify barriers that stand in the way of that support, and offer design recommendations for supportive HIT.
Qualitative research
Community/in-person program
Older adults' personal health information management
Thiel 2011 Institutional, Government
8 Germany Medical and Health Sciences
Academia, Health facility
The GOAL Study (German Young Olympic Athletes' Lifestyle and Health Management Study) analyzes the individual and organizational management of health in adolescent elite sports.
Cross sectional study
Community/in-person program
Health promotion
Thompson 2017
Institutional 5 USA Medical and Health Sciences
Academia This study aimed to understand how relationship status and vaccination status impact risk perceptions and perceived need for the HPV vaccine among young adult women.
Qualitative research
Community/in-person program
HPV
Truong 2020 Government 7 UK Science (general); Agriculture, Veterinary, and Environmental Sciences; Medical and Health Sciences
Academia Here, we use UK Biobank data and show an efficient polygenic prediction when we use relatives in a PRS approach to predict phenotypes of complex traits
Clinical prediction rule
Algorithm mental, physical and lifestyle traits
Tseng 2018 Government 4 Taiwan Information, Computing, and Communication Sciences
Academia In this work, we aim to build a big data analytics framework for sports behavior mining and personalized health services. We analyzed users' exercise data including heart rate and GPS data, which were collected in a practical sports and social platform, to discover users' periodic sports patterns and the trend of heart rate change during exercise.
Technology/tool testing
Algorithm Health and wellness
Tucker 2016 None 8 USA Medical and Health Sciences
Academia, Health facility
The primary purpose of this study was to explore the feasibility, preliminary effects, and barriers and facilitators of integrating a 6-month worksite NEAT+ PA intervention, with personalized health coaching via text messaging, into the workflow of ambulatory clinic nursing staff (RNs and MAs).
Cohort study Community/in-person program
Physical inactivity
Turner 2014 Not Supplied 4 USA Information, Computing, and Communication Sciences
Academia In this study we consider the problem of detecting whether a patient is having a seizure or not based upon the patients EEG readings for any given second, and how those readings differ from a baseline that is standardized from either the patient's EEG history or other patient's EEG readings.
Technology/tool testing
Algorithm Seizures
vandenBrekel-Dijkstra 2016
Government 5 The Netherlands
Medical and Health Sciences
Academia, Industry, Health facility
The aim of this pilot study is to evaluate feasibility and the effectiveness of a personalized prevention approach with use of a web-based cardiovascular risk assessment with tailored lifestyle follow-up.
Case series Individual digital health promotion tool
Cardiovascular disease
vandenBroek 2017
Government 9 Not Supplied Medical and Health Sciences
Industry Industry
We describe the first application of VAMS with the Mitra microsampling device for the quantification of protein
Technology/tool testing
Diagnostic test Monitoring
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
biomarkers using an automated, high-throughput sample preparation method coupled with mass spectrometric (MS) detection.
vandenBroek 2017
Government, Industry, International
8 The Netherlands
Science (general) Industry Industry
This study aims to demonstrate that quantification of PFT response can discriminate between different states of health within the healthy range of the population.
Cohort study Diagnostic test Metabolic health
vanDongen 2019
Government 4 The Netherlands
Medical and Health Sciences
Academia The objective of the study is to monitor the capacity-building processes of the FLASH intervention, including the design and implementation of health-promotion activities by each school community, and to explore if these processes contribute to changes in community capacity. In addition, we will explore if the FLASH intervention relates to changes is PA, dietary behaviours (including determinants of PA and dietary behaviours) and BMI of students. This paper provides a description of the study design.
Protocol, Non-randomised experimental study
Community/in-person program
Physical inactivity, diet, overweight.
vanLimpt 2011 Non-governmental
9 The Netherlands
Mathematical Sciences; Medical and Health Sciences
Academia, Industry, Health facility
To determine in primary care patients at high risk for a cardiovascular event, the effects on biomedical risk factors for and incidence of cardiovascular events, of a brief cardiovascular prevention program executed by a health advisor
Randomised controlled trial
Community/in-person program
Cardiovascular disease or diabetes
vanOs 2017 Government, Non-governmental, International
18 The Netherlands
Medical and Health Sciences; Behavioural and Cognitive Sciences
Academia, Health facility
Multiple examples of ESM (experience sampling method) data collections across different patient groups and settings are shown and discussed, varying from an ESM evaluation of a 6-week randomized trial of mindfulness, to a twin study on emotion dynamics in daily life.
Technology/tool testing
Individual digital health promotion tool
Psychotic disorder, depression, residual depression
Vaughn 2019 Government 4 USA Medical and Health Sciences
Academia, Health facility
To present a study protocol to explore feasibility, acceptability and, usability of integrating mobile health technologies to collect and monitor symptom data for pediatric blood and bone marrow transplant (PBMT) patients.
Protocol, Technology/tool testing
Individual digital health promotion tool
Pediatric blood and marrow transplant patients
Vela 2019 Government 4 USA Information, Computing, and Communication Sciences; Engineering and Technology; Medical and Health Sciences
Academia Here, we describe Zik, a standalone bioimpedance analyzer with Internet of Things (IoT) monitoring features. Zi k can be connected to a secure wireless or local area network and accessed using any device with a Web browser and Internet access. Through a user-friendly Web-based access able to handle multiple simultaneous connections, the user(s) can perform single or multiple bioimpedance measurement(s) remotely.
Technology/tool testing
Algorithm Not Applicable
Vilaro 2017 Government 8 USA Not Supplied Academia Thus, the purpose of this article is to describe the development and preliminary testing of the Food Choice Priorities Survey (FCPS), which is designed to identify the factors having the greatest effect on the food choices of college students.
Cross sectional study, Qualitative research
survey development
Food choice
Vosbergen 2015
Government 7 The Netherlands
Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Health facility
The aim of this study was to develop a method for tailoring health education messages to patients' preferences for message features using the concept of personas. This is a preliminary study focused on education for CHD patients.
Qualitative research
Individual digital health promotion tool
Coronary heart disease
Wahbi 2018 Not Supplied 20 France Medical and Health Sciences
Academia This paper focuses on the development of the MI (motivational interviewing) intervention delivered by telephone to one-third of the study sample. The purpose of the original longitudinal randomized controlled trial, from which this report is drawn, is to assess the efficacy of two separate interventions designed to increase colorectal screening test use when compared to a usual care, control group
Cohort study Cohort Study
Algorithm Dystrophy type 1
Wang 2016 Not Supplied 5 Not Supplied Information, Computing, and
Academia Therefore, this study integrates mobile devices, context-aware technology, and collaborative recommendation algorithms to
Technology/tool testing
Algorithm Health and wellness
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Communication Sciences
develop a health care system. The major application of this system is as a daily health care information recommendation service. The target subjects are young people. It is hoped to assist users of this system to pay more attention to preventive health care and health self-management.
Weijers 2018 Not Supplied 3 The Netherlands
Medical and Health Sciences
Academia The aim of this study of the 3600Child-profile was to investigate the inter- and intra-rater reliability and concurrent validity in a population of CYHC-medical doctors (MD's) to estimate overall- and psychosocial functioning and needed intervention.
Cross sectional study
Algorithm Children's health/functioning
Wheeler 2018 None 2 USA Medical and Health Sciences
Academia The primary aim of this study was to gain a richer understanding of the lived experiences of adults living with CS (Crouzon Syndrome) and to identify perceived biopsychosocial and socioecological factors that affect perceived QOL (quality of life) among this population.
Qualitative research
Community/in-person program
Crouzen Syndrome
Williams 2019 Government, Industry, Non-governmental
21 USA Medical and Health Sciences
Academia, Industry, Government
Here, we show that plasma protein expression patterns strongly encode for multiple different health states, future disease risks and lifestyle behaviors.
Diagnostic test accuracy study
Diagnostic test Future metabolic health risk
Xia 2010 Government 18 China Medical and Health Sciences
Academia, Government
The ADACS (Anti-tuberculosis Drugs induced Adverse Reactions in China National Tuberculosis Prevention and Control Scheme Study) aimed to explore ADRs' (adverse reactions) incidences, prognoses, economical and public health impacts for TB (tuberculosis) patients and TB control, and build a DNA bank of TB patients.
Cross sectional study, Case control study, Protocol
Algorithm Tuberculosis
Xiao 2019 Not Supplied 6 USA Information, Computing, and Communication Sciences; Medical and Health Sciences
Academia, Industry
To address such challenges, we develop an integrated framework that unifies dynamic modeling, sparse learning, dictionary learning and matrix completion to translate users' behavioral data into personalized dynamic system models and use them as constraints for deriving deeply personalized longitudinal health plans. We evaluate the proposed framework on a real-world user behavioral dataset and demonstrate its promising utility and efficacy.
Clinical prediction rule
Algorithm Health promotion
Yang 2013 Institutional 5 USA Medical and Health Sciences
Academia, Industry
Here we provide a case review of a participant who completed the PHP-IHC intervention.
Case report Community/in-person program
Excess weight during pregnancy
Youm 2017 Not Supplied 2 Korea Information, Computing, and Communication Sciences
Academia The objectives of this study were to evaluate the effectiveness of home healthcare products and multimedia software, and suggest ways to stimulate their use by analyzing the effect of a consistent awareness of one's health status on the change in one's exercise habits and health-improvement activities.
Non-randomised experimental study
Individual digital health promotion tool
Physical activity
Zang 2017 Government 5 China Physical Sciences Academia In this study, we designed and fabricated a facile, portable radial artery pulse sensor using a flexible and stretchable graphene-coated fiber.
Technology/tool testing
Non-diagnostic implanted medical device
Cardiovascular disease
Zhou 2010
Not Supplied 6 China Medical and Health Sciences
Academia A randomized cluster trial was conducted to assess the impact of individualized health intervention guided by the transtheoretical model (TTM) theory on behavior change and quality of life (QoL) among the older rural population of China.
Randomised controlled trial
Community/in-person program
Health risk behaviours
Zhu 2017 Government 6 China Engineering and Technology; Medical and Health Sciences
Academia In order to solve this problem, this paper summarizes the current situation and problems of risk prediction relevant to the readmission for patients.
Technology/tool testing
Algorithm Cardiovascular disease
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Appendix 4b. Characteristics of samples/participants and details on precision and personalisation in the reviewed studies (n=225)
SAMPLE CHARACTERISTICS PRECISION ELEMENTS
First author
and year of
publication
Participant
health status
Actual health
condition of
participants at-
risk/with an
acute or
chronic illness
Age
(mean/
median;
years)
Age
(standard
deviation/
Interquarti
le range;
years)
Age
range
(years)
Sample
size
Percentage
of female
participants
Percentage
of non-
Caucasian
participants
Included
participants
with socio-
economic
disadvantage
Sentence in the body defining
precision health
Precision
Health
Category (most
representative;
Gambhir 2018)
Type of data used
for the
tailoring/personalis
ation component
Abbott 2018 Explicit "recruitment" of healthy populations, At-risk/pre-clinical disease stage, With chronic illness
Pre-diabetes, diabetes, heart disease
59 12.9 >= 24 229 71.18 100 Yes Developing such tailored health programs for specifically targeted groups can be facilitated by considering the moderators of intervention effects that were determined from previous studies (MacKinnon, 2011).
Intervention Sociodemographic/ economic, Psychological/ psychiatric, Diet/ nutritional
Adams 2014 No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
946 Not Supplied/ Applicable
Not Supplied/ Applicable
No Computer tailored health communications (CTHC) systems aim to elicit healthy behavior changes by sending motivational messages personalized to individual patients. Cur- rent CTHC systems start by creating a pool of messages and a fixed set of theory-driven, expert-written rules that relate the characteristics of messages to the characteristics of the patients [4].
Data analytics Perspective/ opinion/ usage
Afzal 2018 Explicit "recruitment" of healthy populations
Not Applicable Not Supplied
Not Supplied
25 - 49 40 25 Not Supplied/ Applicable
No Mining Minds platform consists of an array of innovative services, tools, and techniques, working collaboratively to investigate human's daily life data, generated from heterogeneous resources, for personalized health and wellness support (Banos et al., 2016).
Data analytics Sociodemographic/ economic, Behavioural/ lifestyle/ physical activity, Socio-environmental
Ahmed 2015 No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
6 Not Supplied/ Applicable
Not Supplied/ Applicable
No 1.1. System for Personalized Health Monitoring. The steps in process diagram of the proposed system for personalized health monitoring service are presented in Figure 1. As can be seen, the proposed system started from sensor signals as Step1, there are five different sensor devices that are sending measurements for five different health parameters of a user i.e., 1) Blood Pressure (BP), 2) Blood Glucose (BG), 3) Weight (WGT), 4) Activity (AC) and 5) Pulse Rate (PR).
Data analytics Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Ahola 2013 At-risk/pre-clinical disease stage, With acute illness
Wide range of psychosocial problems
18 Not Supplied
Not Supplied
1280 0 Not Supplied/ Applicable
Yes Tailored health communication has proved to be an effective method in promoting healthy behaviours [20, 21], but has not been utilized in activation interventions among youth.
Intervention Anthropometric, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Almeida 2020 At-risk/pre-clinical disease stage
Prediabetes Not Applicable
Not Applicable
>= 19 years
482 Not Supplied/ Applicable
Not Supplied/ Applicable
No The digital DPP is a technology-enabled translation of the DPP lifestyle intervention [3] that consists of small group support, personalized health coaching, digital tracking tools, and weekly behavior change curriculum approved by the CDC Diabetes Prevention Re-cognition Program (the Omada Health Program).
Intervention Sociodemographic/ economic, Anthropometric, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional
An 2013 No mention of health condition
Not Applicable
24.07 Not Supplied
18 - 30 years
1698 72.44 26.09 No The tailored health message group targeted four behaviors as part of a general wellness-framed Web site: cigarette smoking, alcohol use, exercise, and eating breakfast.'
Intervention Sociodemographic/ economic, Behavioural/ lifestyle/ physical activity, Diet/ nutritional
Anderson 2015
With chronic illness
Breast cancer, with at least one moderate-severe menopausal symptom
49.2 6.2 Not Supplied
55 100 Not Supplied/ Applicable
No The nurses outlined the 12-week program, provided tailored health education, and assisted with individual goal setting for exercise, healthy eating, smoking, and alcohol consumption.
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional
AntOzok 2014
Explicit "recruitment" of healthy populations
Not Applicable Not Supplied
Not Supplied
>= 21 22 50 Not Supplied/ Applicable
No More individualized and tailored health information for patients with different illnesses and education levels
Intervention Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Archibald 2011
No mention of health condition
Not Applicable Not Supplied
Not Supplied
35 - 45 4 Not Supplied/ Applicable
100 Yes The purpose of this study was to discover from interviews, ways to tailor health care interventions to fit the cultural identity of a minority group of people in order to reduce health disparity.
Risk assessment Perspective/ opinion/ usage
Arens 2018 With chronic illness
Metabolic syndrome
49.6 9.3 35 - 60 166 59.04 Not Supplied/ Applicable
No Primary mission of this study of personalized health management in metabolic syndrome patients was to observe whether personalized digital feedback through the HCP would enhance the success rate of weight reduction relative to usual care.
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Diet/ nutritional
Atack 2012 No mention of health condition
Not Applicable Not Supplied
Not Supplied
21 - 69 57 31.58 26.32 Yes We anticipate that Internet access and the ability to tailor health materials will promote health education for all, but in particular for those who face traditional
Intervention Not Applicable
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
barriers related to literacy, education and geography.
Atzmueller 2018
With chronic illness
Parkinson's disease
Not Supplied
Not Supplied
Not Supplied
10 Not Supplied/ Applicable
Not Supplied/ Applicable
No We showed the efficacy of the proposed approach in an evaluation using two real-world datasets: (i) In the context of personalized health using wearable sensors, and (ii) for activity recognition using smartphones.
Risk assessment Behavioural/ lifestyle/ physical activity
Avery 2019 With chronic illness
Cancer-related major abdominal surgery
61.7 12.6 27 - 81 61 42.62 1.64 No Finally, making routinely collected ePRO (electronic patient reported outcomes) data available to clinicians through its integration into patients' electronic health records (EHR) has the potential to advance precision health and patient-centred care [24] by enabling ePRO data to be considered alongside other clinical data to better plan appropriate care, to inform patient-clinician encounters and to improve shared clinical decision-making
Data analytics Sociodemographic/ economic, Perspective/ opinion/ usage, Self-reported symptoms of adverse effects
Ayres 2013 At-risk/pre-clinical disease stage
Elevated cholesterol level
53.8 8.94 Not Supplied
292 71.23 Not Supplied/ Applicable
No A tailored health plan can include dietary and lifestyle changes that are tailored to helping you improve the health of your heart.
Intervention Sociodemographic/ economic, Anthropometric, Behavioural/ lifestyle/ physical activity, Diet/ nutritional,
Badawi 2012 Explicit "recruitment" of healthy populations
Not Applicable Not Supplied
Not Supplied
Not Supplied
16 50 Not Supplied/ Applicable
No In this paper, we proposed a personalized health advisory system for children based on real-time biofeedback sensors to provide accurate and up-to-date decisions about children's food, clothing, and activities using electronics child record, as the health profile for each child, and ontologies for both vitamins and allergies as knowledge base system to support the decision making
Intervention Perspective/ opinion/ usage
Bannink 2012 No mention of health condition
Not Applicable Not Supplied
Not Supplied
15 - 16 Not Supplied
Not Supplied/ Applicable
Not Supplied/ Applicable
No Computer-tailored health education is a good opportunity to provide health messages regarding individual health behaviour and behavioural determinants, because tailored messages eliminate (as far as possible) information that is not personally relevant [15-18].
Intervention Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
Bariya 2018 No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
2 Not Supplied/ Applicable
Not Supplied/ Applicable
No We demonstrate high throughput fabrication across large swathes of flexible substrate, enabling inexpensive, large-scale production of disposable sensing components for wearable hybrid electronics with a view to making personalized health monitoring at molecular levels accessible to the broader community.
Customized monitoring
Physiologic/ biochemical/ clinical
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Barnes 2020 With chronic illness
Stroke 69 Not Supplied
Not Supplied
196 46.94 10.20 No For well over a decade, personalized health, or more recently, precision medicine,1 has been widely viewed as the solution to improving the efficacy of medical therapies through individualized, targeted treatments.
Risk assessment Perspective/ opinion/ usage
Barron 2013 With chronic illness
Chronic obstructive pulmonary disease, congestive heart failure
76.4 Not Supplied
66 - 84 7 42.86 14.29 No Johns Hopkins Medicine is currently introducing a new patient portal to provide personalized health information.
Intervention Perspective/ opinion/ usage
Bassett 2011 With chronic illness
Spinal cord injury
42.98 12.23 Not Supplied
62 16.13 Not Supplied/ Applicable
No Alternatively, individualized health information is objective risk information that is specific to the recipient, such as: Your waist circumference is 110 cm. People with a waist circumference greater than 102 cm are at risk for type 2 diabetes.
Intervention Anthropometric, Physiologic/ biochemical/ clinical
Batool 2012 No mention of health condition
Not Supplied Not Supplied
Not Supplied
Not Supplied
Not Supplied
Not Supplied/ Applicable
Not Supplied/ Applicable
No The proposed system monitors changing health conditions, emotions and interests of users to provide real time personalized health information and guidance from highly qualified physician's knowledge.
Data analytics Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Psychological/ psychiatric
Bazdarevic 2015
No mention of health condition
Not Applicable 25.8 Not Supplied
Not Supplied
79 50.63 Not Supplied/ Applicable
No This paper, therefore, investigates the relations with emotions from multiple perspectives - their effect on personalisation needs and re-usage intentions, as well as the effect of usage of a personalised health website on the emotional state.
Intervention Sociodemographic/ economic, Perspective/ opinion/ usage, Psychological/ psychiatric
Beckmann 2018
No mention of health condition
Not Supplied Not Supplied
Not Supplied
Not Supplied
15 Not Supplied/ Applicable
Not Supplied/ Applicable
No We address the above named issue by developing a generic medical sensor framework which is able to combine sensors and collect data independent of devices. Through this solution we make sensor fusion generic, thus enable personalized health needs and the usage of desired sensors.
Customized monitoring
Perspective/ opinion/ usage
Berks 2019 With acute illness
Women with pregnancies complicated by preeclampsia, fetal growth restriction and/or gestational diabetes mellitus
31.6 4.2 >= 18 206 100 Not Supplied/ Applicable
No The computer-tailored health education program and the three questionnaires were completed by the participants before each counselling session.
Intervention Anthropometric, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Diet/ nutritional
Bidargaddi 2018
No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
1255 62.95 Not Supplied/ Applicable
No The app sends time-varying push notifications containing tailored health messages to provide feedback related to behavior modification and to encourage interaction with the app.
Intervention Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Diet/
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
nutritional, Socio-environmental
Blake 2018 At-risk/pre-clinical disease stage
At risk of HIV (workplaces selected for having a high proportion of employees from sub-Saharan Africa)
Not Supplied
Not Supplied
>= 18 806 46.53 14.27 Yes The events included on-the-spot tailored health advice, and take-away resources (e.g. condoms and leaflets on safer sex). Advice was tailored according to test results and included discussion and signposting around HIV testing and services, sexual health and healthy lifestyle behaviours.
Intervention Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Socio-environmental
Blake-Lamb 2018
Explicit "recruitment" of healthy populations
Not Applicable Not Supplied
Not Supplied
Not Supplied
Not Supplied
100 Not Supplied/ Applicable
Yes First 1000 Days Patient Navigators use the results to connect patients and partners to individualized health information, health center programs, and community resources.
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Diet/ nutritional, Socio-environmental
Borbolla 2014
No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
Not Supplied
Not Supplied/ Applicable
Not Supplied/ Applicable
No From tethered PHRs (personal health records), patients can have access to their problem list, medication list, laboratory test results, and links to personalized health information.
Intervention Perspective/ opinion/ usage
Bosak 2018 Explicit "recruitment" of healthy populations
Not Applicable 52 Not Supplied
44 - 64 43 100 4.65 No The Precision Health Initiative emphasizing individualized healthcare is leading the discovery of novel biomarkers.
Customized monitoring
Physiologic/ biochemical/ clinical
Braun 2014 With chronic illness
Heart disease 67 10.5 Not Supplied
922 35.57 Not Supplied/ Applicable
No The current ICWP has been extended to include, in addition to the metabolic supplements, ward visits by naturopaths to enable patients to receive individualised health promotion recommendations and learn more about their health and cardiac risk factors.
Intervention Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional
Brown 2016 With chronic illness
Cancer Not Applicable
Not Applicable
>= 21 357 Not Supplied/ Applicable
100 No One communication method that has demonstrated efficacy to promote patient activation (characterised by asking questions, expressing concerns and being assertive) in consultation communication is providing tailored health messages (THM). THM increase the relevance of health information by targeting individuals’ personalised needs based on a rigorous assessment of their characteristics and preferences and have been successfully used to promote AA cancer screening behaviours.
Intervention Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Socio-environmental
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Brown 2019 Explicit "recruitment" of healthy populations
Not Applicable 28.9 3.07 25 - 55 338 100 Not Supplied/ Applicable
No Few prior studies have elucidated the screening barriers and facilitators predicting women's screening attendance, upon which tailored health promotion strategies could be based (Sadler et al., 2013).
Risk assessment Sociodemographic/ economic, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Socio-environmental
Cappelletti 2014
At-risk/pre-clinical disease stage
At risk of cancer 42.2 13.3 19 - 86 372 84.68 58.87 Yes These findings suggest a plausible pathway through which unmet basic needs in vulnerable populations may interfere with the effects of tailored health behavior interventions
Intervention Sociodemographic/ economic, Socio-environmental
Chang 2015 With chronic illness
Stroke 74.47 4.64 61 - 74 19 47.37 100 No In addition to the usual ADC services, our intervention program incorporated two new key components: (1) family involvement in the elderly stroke patients’ care and (2) patient-tailored health management, both of which were developed from previous research findings in which family involvement and health management improved health and psychological outcomes of the elderly or their caregivers.
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Socio-environmental
Chen 2017 With acute illness, With chronic illness
Outpatient visits, with a condition in any of the 21 diseases in the ICD-10 manual
Not Supplied
Not Supplied
Not Supplied
1600000 Not Supplied/ Applicable
Not Supplied/ Applicable
No Personalized health advices are further provided for individuals based on risk estimates.
Data analytics Physiologic/ biochemical/ clinical, Socio-environmental
Chen 2019 With chronic illness
Congenital heart disease
19.2 2.6 15 - 24 205 43.41 Not Supplied/ Applicable
Yes The development of tailored health consulting interventions to fulfill healthcare needs is required to improve physical and psychosocial wellness among youths with CHD. (identical to sentence in abstract, and no other use of the term)
Risk assessment Sociodemographic/ economic, Anthropometric, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
Chen 2018 With chronic illness
Coronary heart disease
60.84 11.75 21 - 86 316 31.96 Not Supplied/ Applicable
No By assessing disease related knowledge of patients with CAD, healthcare professionals can develop tailored health education and evaluate the effectiveness of the intervention. Therefore, it is essential to have a suitable tool to measure disease-related knowledge for patients with CAD.
Risk assessment Perspective/ opinion/ usage
Chiang 2019 No mention of health condition
Not Applicable Not Supplied
Not Supplied
25 - 79 8 50 Not Supplied/ Applicable
No We also provide early validation of the effects of personalized health behavior recommendations suggested by the proposed RFFS model.
Data analytics Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Chua 2011 No mention of health condition
Not Applicable 37.5 11.5 21 - 55 91 48.35 Not Supplied/ Applicable
No FROM SUPPLEMENTARY METHODS: We based the Tailored and Untailored messages on cognitive-behavioral methods of smoking cessation and relapse prevention1. Tailored statements include self-relevant personalization and feedback about the smoker. It involves the degree to which there are recognizable features of the individual in the message (e.g., You have been smoking for 12 years), as well as references to the individual's state characteristics (e.g., levels of stress and coping) which were generated based on participants' responses.
Intervention Sociodemographic/ economic, Anthropometric, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
Colkesen 2011
At-risk/pre-clinical disease stage
Cardiovascular disease
45 7.8 Not Supplied
772 19.30 Not Supplied/ Applicable
No By a computer-based combination of the risk profiles with health-behavior concepts, individually tailored health advice was generated.
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Diet/ nutritional, Psychological/ psychiatric
Cortese 2012 No mention of health condition
Not Applicable 13.93 1.03 13 - 17 151 56.95 60.93 No This study evaluates a tailored health education site designed to help teens learn about sexual health and decision making. As a health education approach, tailoring involves the creation of customized messages and feedback that consider factors that may influence an individual's health behaviors.
Intervention Sociodemographic/ economic, Psychological/ psychiatric, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Socio-environmental
Cote 2015 With chronic illness
HIV Not Applicable
Not Applicable
>= 18 750 Not Supplied/ Applicable
Not Supplied/ Applicable
No Until now, most of the studies testing the efficacy of Web-based tailored health behaviour change interventions have been designed and conducted among the general population, were more preventive in nature and did not involve support for complex tasks required in self-management of chronic conditions (Lustria et al., 2013).
Intervention Psychological/ psychiatric
Crosby 2015 With chronic illness
Sickle cell disease
16 2.3 12 - 20 30 50 100 No They also worked with families to develop an individualized health plan and an emergency plan. At the end of the academic year, study participants showed an improvement in quality of life (as measured by the Pediatric Quality of Life Inventory; Varni, Seid, & Kurtin, 2001), grades, participation in classroom and extracurricular activities, and disease management (knowledge,
Risk assessment Sociodemographic/ economic, Perspective/ opinion/ usage
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
skills and confidence to manage a chronic disease).
D'Addario 2020
With chronic illness
Acute coronary syndrome or hypertension
Not Applicable
Not Applicable
>= 18 204 Not Supplied/ Applicable
Not Supplied/ Applicable
No The 'Time to Change Your Behavior' (TTCYB) is a randomized controlled intervention that uses tailored health print educational material to improve healthy lifestyle behaviors (dietary behavior, physical activity, alcohol intake and smoking behavior) in patients affected by acute coronary syndrome (ACS) or essential hypertension.
Intervention Anthropometric, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional
DeGagne 2015
No mention of health condition
Not Applicable 50.45 7.15 40 - 64 125 43.2 100 Yes The participants in the focus group expressed strong feelings about needs for health support system: (a) self-management demands, (b) community based health programs, and (c) culturally tailored health care services.
Risk assessment Sociodemographic/ economic, Perspective/ opinion/ usage, Socio-environmental
deSoutoBarreto 2014
At-risk/pre-clinical disease stage
Seasonal influenza
86 8.2 Not Supplied
6275 73.71 Not Supplied/ Applicable
No ...And the presence of an individualised health care project (i.e., care project specifically designed for one subject as the result of a multidisciplinary work developed to establish feasible strategies to delay the onset/progression of the resident's negative health outcomes).
Risk assessment Not Applicable
deVries 2012 With chronic illness
Skin cancer 46.2 Not Supplied
Not Supplied
387 59.69 Not Supplied/ Applicable
Yes Computer tailoring developed even before the Internet period fosters the development of highly individualized health communication messages that match each person's unique conditions, characteristics, motivational beliefs (such as knowledge, attitudes, and self-efficacy), and intentions to change and behavior.
Intervention Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
Devaux 2016 With chronic illness
Cardiac arrest 63 12 20 - 94 579 19.69 Not Supplied/ Applicable
No In the cardiovascular field, miRNot Applicables have been identified as potential novel tools for personalized health care of patients with heart disease such as myocardial infarction.
Risk assessment Physiologic/ biochemical/ clinical
Donovan 2012
No mention of health condition
Not Applicable 21.41 1.74 18 - 25 62 59.68 25.81 No The current study tested the feasibility of an online, tailored health program for community college students. Specifically, a prototype of the website was designed for traditional-aged community college students, as they are a group at high risk for substance use problems (SAMHSA, 2011). Feasibility testing was approached with a four-phase design. First, we conducted a needs assessment to determine the content themes and program features that students and practitioners perceived to be relevant and important.
Intervention Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Socio-environmental
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Doove 2016 At-risk/pre-clinical disease stage
Substance abuse 32.4 9.7 Not Supplied
423 33.33 28.13 No Beyond an assignment to universally best treatments, nowadays much importance is attached to personalized health, that is, to the fact that persons should receive the treatment that is optimal given their individual characteristics (Tunis, Benner, & McClellan, 2010). Personalized health is rooted in the idea that relative treatment effectiveness may vary over subgroups of clients (defined in terms of person pre-treatment characteristics, which are also called moderator variables).
Data analytics Sociodemographic/ economic, Physiologic/ biochemical/ clinical
DosSantos 2020
No mention of health condition
Not Applicable 13.58 3.5 11 - 15 4036 53.47 Not Supplied/ Applicable
Yes As a matter of fact, human development and health behaviours are strongly affected by different types of social factors, at the individual, family, community, and national levels [7]. Therefore, the understanding of these behavioural clusters and its relationship with individual and contextual factors is of extreme use to Public Health, allowing tailored health-promoting interventions [8].
Intervention Behavioural/ lifestyle/ physical activity
Doyle 2014 No mention of health condition
Not Supplied 70.6 4.13 65 - 77 7 28.57 Not Supplied/ Applicable
No We consider our main contribution to be an increased understanding of older adults' attitudes and behaviours in relation to wellbeing self-management and factors that affect acceptance and adoption of such, that can facilitate the creation of new, personalized health and wellbeing interventions for this population
Intervention Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Socio-environmental
Drake 2018 With chronic illness
Type 2 diabetes 59.4 10.5 Not Supplied
19 68.42 78.95 No This study adapted personalized health planning (PHP), an evidence-based intervention designed to engage patients in creating and achieving meaningful personal health-related goals, to be delivered within shared medical appointments (SMAs).
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional
Dreer 2016 With chronic illness
Glaucoma 61 7.02 Not Supplied
11 72.73 100 No Thus, in order to reduce the health disparity gap in glaucoma medication adherence, there is a demand for culturally and individually tailored health promotion programs that are designed to meet the needs of AA's living with glaucoma
Intervention Perspective/ opinion/ usage, Socio-environmental
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Drost 2020 At-risk/pre-clinical disease stage
Lynch syndrome
Not Supplied
Not Supplied
Not Supplied
24 Not Supplied/ Applicable
Not Supplied/ Applicable
No Missense variants comprise a significant fraction of the genetic variants identified in the MMR genes, particularly in MSH6.3 In case such a variant cannot be classified as (likely) pathogenic or (likely) non-pathogenic, personalized health care for affected families cannot be implemented.
Data analytics Genetic/ genomic
Drozdovska 2020
No mention of health condition
Not Applicable Not Supplied
Not Supplied
23 - 35 44 100 Not Supplied/ Applicable
No These results suggest that PPARG genotyping can be used to personalize health-promoting fitness programs. The data of genetic status and morphofunctional parameters assessment were used to develop aerobic and resistance training fitness programs for young women with Pro/Pro, Pro/Ala, and Ala/Ala genotypes of REG1, REG2, AEG2, and AEG2 subgroups
Risk assessment Anthropometric, Physiologic/ biochemical/ clinical, Genetic/ genomic, Behavioural/ lifestyle/ physical activity
Elbert 2016 No mention of health condition
Not Applicable 41.4 14.6 16 - 71 330 32.42 Not Supplied/ Applicable
No First, we aim to answer the question whether a tailored health intervention delivered via a mobile phone app is able to change fruit and vegetable intake in the advocated direction. Second, this study provides an exploratory test of the possible difference in efficacy between the more classic textual mode of communication (reading) and the auditory mode of communication (listening).
Intervention Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional
Engel 2014 Explicit "recruitment" of healthy populations, With chronic illness
Inborn errors of metabolism (rare genetic disease)
Not Supplied
Not Supplied
4 - 12 217 50 Not Supplied/ Applicable
No Three additional future development lines can be defined for SHM: (1) connection of SHM output to a disease database, (2) development of personalized health control, and (3) application of SHM in clinical trials.
Risk assessment Physiologic/ biochemical/ clinical
Enwald 2015 Explicit "recruitment" of healthy populations
Not Applicable 18 Not Supplied
Not Supplied
824 0 Not Supplied/ Applicable
No It has been argued that the differences in individuals' health information behaviour should be used as a basis to tailor health information and communication (for example, Fourie 2008, Harland and Bath 2008, Ek and Heinstrm 2011, Johnson and Case 2012: 207, Enwald 2013: 119-133). Tailored health communication is a means to increase the effectiveness of health information by providing more user-centred information. It aims to increase the possibility that the information content is received, processed and accepted by the receiver. (Kreuter 1999: 5, Hawkins 2008.
Risk assessment Not Applicable
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Enwald 2013 At-risk/pre-clinical disease stage
Prediabetes Not Supplied
Not Supplied
Not Supplied
69 73.91 Not Supplied/ Applicable
No Tailoring of health communication could increase the possibility that the information content is processed and accepted by the receiver to enhance healthy behaviour. Even minor differences in an individual's reception of the content of information should be given attention when planning tailored health communication. It has been stated that the reasons behind individual differences in health information behaviour should be taken into consideration in tailoring health information for information services (Ek and Heinström 2011; Bar-Ilan et al. 2006; Fourie 2008).
Risk assessment Not Applicable
Enwald 2012 At-risk/pre-clinical disease stage
Prediabetes Not Supplied
Not Supplied
Not Supplied
72 72.22 Not Supplied/ Applicable
No Rimer and Kreuter state that tailored health communication is any combination of information and behaviour change strategies intended to reach one specific person based on information unique to that person, related to the outcome of interest, and derived from an individual assessment.
Intervention Anthropometric, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Diet/ nutritional
Fadhil 2019 Explicit "recruitment" of healthy populations
Not Applicable 26.53 9.371 19 - 53 19 42.11 Not Supplied/ Applicable
No The approach focuses on providing tailored health activities that adhere to users' preferences. This is achieved by the human “conversational agent mediated coaching which provides a structured health plan to users after analyzing their conversation data with the conversational agent.
Intervention Sociodemographic/ economic, Behavioural/ lifestyle/ physical activity
Fan 2015 No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
590 Not Supplied/ Applicable
Not Supplied/ Applicable
No We also extend this model based on covariates, introducing associated parameter heterogeneity, and apply it to personalized health data given via wearable equipment
Data analytics Sociodemographic/ economic, Behavioural/ lifestyle/ physical activity, Socio-environmental
Fan 2019 No mention of health condition
Not Applicable 76 7.8 Not Supplied
11 81.82 Not Supplied/ Applicable
No Yu et al. [3] proposed a personalized healthcare monitoring platform to forecast one-day-forward wellness conditions for elderly.
Data analytics Physiologic/ biochemical/ clinical, Psychological/ psychiatric
Faro 2019 At-risk/pre-clinical disease stage
Smokers Not Applicable
Not Applicable
> 18 600 Not Supplied/ Applicable
Not Supplied/ Applicable
No Because of feedback from PCORI and peer review, we expanded our study to also test the effectiveness of a machine learning-based approach (recommender system) for computer-tailored health communication (CTHC).
Intervention Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Socio-environmental
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Fayorsey 2019
With chronic illness
HIV 26 22-30 > 16 340 100 Not Supplied/ Applicable
No We hypothesized that by combining interventions, we could target multiple barriers to engagement along the PMTCT cascade, social (peer mentoring, individualized health education at home and during clinic visits), behavioral (phone calls and SMS), and structural (enhanced referrals and patient escort) challenges threatening a woman's ability to remain in long-term PMTCT services.
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Socio-environmental
Ferrao 2017 With chronic illness
Malaria (prevalence data - no participants recruited)
Not Applicable
Not Applicable
Not Applicable
490,561 Not Supplied/ Applicable
Not Supplied/ Applicable
No Public precision health strategies can support decisions to reduce malaria by optimising resource use [8]. For example, decisions can focus spraying efforts to reduce vector numbers, where to build a water body, and when to drain it.
Risk assessment Socio-environmental
Ferrer 2017 No mention of health condition
Not Applicable 27.94 6.85 Not Supplied
1919 67.17 24.80 Yes Thus, a health-specific regulatory focus scale matched to the rationale for tailoring health messaging has the potential to further improve the precision with which framed health messages change behavior.
Risk assessment Not Applicable
Fucito 2015 No mention of health condition
Not Applicable 38.73 13.66 Not Supplied
26 38.46 57.69 No Most participants reported that they did not relate to general health promotion campaigns (i.e., television commercials, health posters) focused on other people suffering from the negative effects of smoking but indicated that personalized health information would be motivating.
Intervention Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
Gamp 2016 No mention of health condition
Not Supplied 30.7 10.5 Not Supplied
565 77.52 Not Supplied/ Applicable
No Accordingly, when communicating personalised health risk information, physicians may inquire after pre-feedback risk expectancies in order to facilitate the processing of risk status information.
Risk assessment Perspective/ opinion/ usage
Gany 2012 No mention of health condition
Prediabetes, diabetes, prehypertensive range, high blood pressure, hypertensive range
Not Supplied
Not Supplied
>= 18 289 28.37 100 Yes The NYU School of Medicine Center for Immigrant Health (CIH) held four culturally and linguistically tailored health camps between October 2009 and November 2010 to educate participants about and screen for CVD risk factors, including diabetes, hypertension, and hypercholesterolemia.
Risk assessment Sociodemographic/ economic, Physiologic/ biochemical/ clinical
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Gatwood 2020
With chronic illness
Diabetes 60.8 Not Supplied
45 - 70 Not Supplied
Not Supplied/ Applicable
100 Yes Consequently, tailored health communication is thought to improve the odds of capturing users' attention through individualization, increasing the likelihood that the message will be more thoughtfully considered and, ultimately, have a greater impact on health behavior.
Intervention Perspective/ opinion/ usage
Ghahari 2018 With chronic illness
Chronic health failure
67.4 Not Supplied
41 - 85 24 50 0 No Previous research found that providing properly tailored health data should be considered as a mean to activate individuals (Ball et al., 2007, Klasnja and Pratt, 2012, Pagliari et al., 2007).
Intervention Not Applicable
Gholizadeh 2011
No mention of health condition
Not Supplied 44 11.63 21 - 63 66 100 100 Yes In this article, we provide insight into the women's experiences and perceptions of CVD and discuss implications for development and delivery of tailored health interventions to target the needs of this vulnerable group.
Risk assessment Perspective/ opinion/ usage
Gilmore 2017 At-risk/pre-clinical disease stage At-risk/pre-clinical disease stage
Overweight or obese
26 5.4 Not Supplied
40 100 67.5 Yes Thus, the objective of this study, E-Moms: A personalized mHealth intervention for health and weight loss in postpartum women, is to capitalize on the ease of increased contact and information delivery through SmartPhones to promote weight loss and improve diet quality in overweight and obese postpartum women enrolled in the supplemental nutrition Women, Infants, and Children’s program.
Intervention Anthropometric, Behavioural/ lifestyle/ physical activity
Ginsburg 2015
With chronic illness
Breast cancer 60.71 13.65 <50 to >70
41296 t114.82 5.67 No Chinese-Canadian communities were among the first of Canada's ethnocultural groups to be offered tailored health promotion information on breast cancer16,20,39,40, but whether those initiatives are improving cancer outcomes remains unclear. More detailed data about ethnicity and immigration status would help to inform health policy, to target and tailor ethnoculturally appropriate health promotion initiatives, and to track the resulting clinical effects. Examining the association between ethnicity and stage at diagnosis is an important step in understanding cancer outcomes.
Risk assessment Sociodemographic/ economic, Physiologic/ biochemical/ clinical
Gonzales 2013
With chronic illness
Ovarian cancer 65 Not Supplied
55 - 75 8 100 Not Supplied/ Applicable
No In these interviews, we performed contextual inquiries to identify the key concerns oncologists have during their initial meetings with patients, as well as to brainstorm ideas for making it easier for oncologists to relay personalized health information.
Intervention Perspective/ opinion/ usage
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Goodman 2017
No mention of health condition
Not Supplied Not Supplied
Not Supplied
18 - 55 153 86.27 73.20 Yes Indeed, the literature supports culturally tailored health messages having greater influence in both print and online.
Intervention Perspective/ opinion/ usage
Gordon 2014 At-risk/pre-clinical disease stage
Colorectal cancer
69 Not Supplied
50 - 74 102 50 100 Yes Having such a tool would facilitate assessments in these areas of study while simultaneously enhancing cross-study comparisons. In addition, segmentation would allow for more uniquely targeted and tailored health messages.
Risk assessment Sociodemographic/ economic, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity
Gray 2014 With chronic illness
Diabetes Not Supplied
Not Supplied
45 - 80 13 38.46 Not Supplied/ Applicable
Yes Personalized health information content is provided based on people's specific needs, goals, and health conditions as these change over time.
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity
Guinazu 2020 No mention of health condition
Not Applicable Not Supplied
Not Supplied
18 - 64 675 Not Supplied/ Applicable
Not Supplied/ Applicable
No Precision health emphasizes in prevention and using shared-decision making with patients, policy makers and health workers offers an important opportunity to improve it in SUDs (substance-use disorders).
Data analytics Sociodemographic/ economic, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity
Guo 2018 Explicit "recruitment" of healthy populations, With chronic illness
Diabetes, gout Not Supplied
Not Supplied
Not Supplied
317 Not Supplied/ Applicable
Not Supplied/ Applicable
No The mIoTs is believed to fulfill the dramatically massive need for personalized healthcare management, which requires the pervasive digital medical devices linked and accessed to the Internet to interact all the parameters related to the personalized health, such as medical images, biochemical and biophysical parameters.
Customized monitoring
Physiologic/ biochemical/ clinical
Han 2019 With chronic illness
Type 2 diabetes, Cirrhosis, NSCLC (non-small-cell lung cancer), RCC (renal cell carcinoma)
70 Not Supplied
Not Supplied
401 23.19 45.14 No A working knowledge of the micro-biome (our second genome27) is vital as we move forward in this age of precision health and precision medicine,28 especially in the area of cancer research, which aims at effective treatments for various kinds of cancer based on the knowledge of genetics, biology of the disease and host-microbiome interactions.29
Data analytics Genetic/ genomic
Handley 2016 At-risk/pre-clinical disease stage
Prior Gestational Diabetes Mellitus
31.5 Not Supplied
Not Supplied
22 100 100 Yes ATSM programs represent a middle ground between live counseling and internet-based apps for tailored health communication and can access hard to reach populations not engaged in visit-based programs.
Intervention Physiologic/ biochemical/ clinical
Hardie 2011 No mention of health condition
Not Applicable 45 16 18 - 91 800 64 Not Supplied/ Applicable
No Recent research suggests that many Australians would be willing to adopt a genetically based personalised nutrition
Risk assessment Sociodemographic/ economic, Physiologic/ biochemical/
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
plan to maintain health and prevent illness (Pin, Critchley, & Hardie, 2008).
clinical, Perspective/ opinion/ usage
Haslam 2019 No mention of health condition
Not Applicable 42.2 10.3 Not Supplied
1120 13.04 13.04 No The Walking Works Wonders intervention involves tailoring health information according to employee's readiness to change.
Intervention Perspective/ opinion/ usage
Haze 2013 With chronic illness
Asthma Not Supplied
Not Supplied
13 - 18 25 Not Supplied/ Applicable
0 No Therefore, a systems and procedure analyst mapped the RN care coordinators' workflow and determined four core areas the application would need to address to add value: Health assessment Personalized health plan Disease-specific education Communication for follow-up evaluation
Intervention Perspective/ opinion/ usage
Hernandez 2019
At-risk/pre-clinical disease stage
Smoking-related health problems
24.82 2.73 19 - 31 9428 Not Supplied/ Applicable
25.99 Yes Education affords a range of direct and indirect benefits that promote longer and healthier lives (Cutler and Lleras-Muney 2010; Hummer and Hernandez 2013; Mirowsky and Ross 2003; Warren et al. 2004) and stratify health lifestyles (Pampel et al. 2010).
Data analytics Sociodemographic/ economic, Behavioural/ lifestyle/ physical activity, Socio-environmental
Hollands 2013
No mention of health condition
Not Supplied 27.2 Not Supplied
18 - 71 901 61.49 Not Supplied/ Applicable
No Such personalization of health riskinformation is applied within interventions in both clinical care and preventive medicine. Examples include the use of medical imaging scans to motivate behaviour change (Bovet,Perret, Cornuz, Quilindo & Paccaud, 2002; Hollands, Hankins & Marteau, 2010),behavioural interventions that tailor health information for recipients (Kroeze, Werkman& Brug, 2006; Neville, O’Hara & Milat, 2009) and the feedback of clinical biomarker results, such as lung function spirometry (Bize, Burnand, Mueller, Rî€ege Walther &Cornuz, 2009), and genetic tests for disease risk estimation (Hollands et al., 2012;Marteau et al., 2010).
Intervention Psychological/ psychiatric
Hong 2018 Explicit "recruitment" of healthy populations
Not Applicable Not Supplied
Not Supplied
20 - 35 15 Not Supplied/ Applicable
Not Supplied/ Applicable
No Mobile electronics with their flexible design[1-4] and wireless data communication capabilities[5-7] extend their applicability in wearable bioelectronics[8-11] and personalized healthcare.[12-14]
Customized monitoring
Physiologic/ biochemical/ clinical
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Hors-Fraile 2018
No mention of health condition
Not Supplied Not Supplied
Not Supplied
Not Supplied
120 Not Supplied/ Applicable
Not Supplied/ Applicable
No One of the ways in which technology is used to do so is by designing tailored health messages targeted at patients. Some such platforms use expert systems [8] that use the rules of human expert reasoning and infer results based on people's answers to questions about behavior knowledge and motivational aspects like attitude and self-efficacy. Yet another type of system is a recommender system, which aims at sending messages tailored to users' preferences [9,10,11]. These platforms employ algorithms to predict which message is most similar to its users' previously preferred messages.
Intervention Sociodemographic/ economic, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity
Huang 2020 No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
144 Not Supplied/ Applicable
Not Supplied/ Applicable
No By analyzing and modeling individual logging behaviors, predicting the future heart rate of a user can be helpful for personalized health management through giving suggestions on customized exercise plan
Data analytics Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Huang 2019 With chronic illness
Breast cancer 57 Not Supplied
26 - 90 583 100 Not Supplied/ Applicable
No The application of survival prognosis that incorporates Cox proportional hazards regression with a single transcriptomic dataset (Ching et al., 2018; Katzman et al., 2018; Shao et al., 2018) and with multi-omics data (Chaudhary et al., 2018; Poirion et al., 2018; Ramazzotti et al., 2018; Sun et al., 2018; Zhang et al., 2018a) is of major interest in precision health.
Data analytics Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Genetic/ genomic
Huh 2018 No mention of health condition
Not Applicable Not Supplied
Not Supplied
20 - 49 1000000 45.7679 100 No The purpose of this study is to visualize big data using text mining and word clouds and to prepare measures, if any, of personalized health activities from more various perspectives
Risk assessment Sociodemographic/ economic, Anthropometric
Hwang 2010 At-risk/pre-clinical disease stage
Stroke Not Supplied
Not Supplied
50 - 76 56 39.29 Not Supplied/ Applicable
No This function is connected to a recommendation service that generates the personalized healthcare course materials for their urgent needs.
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Genetic/ genomic, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional
Jackson 2014 No mention of health condition
Not Applicable 41.22 10.3 Not Supplied
467 59.10 10.92 Yes Successful programmes are those which are designed to meet the needs of employees (Price Waterhouse Coopers, 2008) which requires understanding employees' health behaviours to inform
Data analytics Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
the development of appropriate, tailored, health promotion interventions.
activity, Psychological/ psychiatric
Jacobs 2018 With chronic illness
Breast Cancer 66 Not Supplied
49 - 74 12 100 Not Supplied/ Applicable
Yes MyPath indexes these materials and provides patients with personalized information recommendations based on their diagnosis and treatments, and uses a comprehensive survey to elicit patient information needs and update content accordingly.
Intervention Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage
Jacobs 2014 With chronic illness
HIV 47.7 9.72 29 - 63 25 32 100 Yes We present how our findings guided the adaptation of a theory-based, culturally tailored HL (health literacy) intervention to improve medication adherence in HIV + SDH (to be tested in a future study).
Intervention Perspective/ opinion/ usage, Socio-environmental
Jacobs 2016 With chronic illness
Diabetes, hypertension, heart disease, hyperlipidemia, arthritis, COPD, anemia, hypothyroidism, cancer, gout, renal disease, and GERD
60.1 7.35 51 - 77 21 61.90 42.86 Yes We report on a sample of midlife and older persons with multimorbid chronic conditions who participated in a study designed to gather data on factors associated with medication adherence for the purpose of guiding the development of socially and culturally relevant, tailored mHealth interventions for midlife and older patients with multimorbid chronic conditions.
Intervention Sociodemographic/ economic, Perspective/ opinion/ usage, Psychological/ psychiatric
Jang 2018 No mention of health condition
Not Applicable 48.1 15.8 Not Supplied
6262 53.90 24.70 Yes Therefore, merely providing general instructions on a healthy diet might not ensure the success of health campaigns for low-SES populations. Instead, success might be ensured by providing tailored messages based on careful consideration of the population’s beliefs or life experiences.
Risk assessment Sociodemographic/ economic, Behavioural/ lifestyle/ physical activity, Diet/ nutritional
Kampusch 2016
With acute illness, With chronic illness
Chronic lower extremity ulcers, chronic pain, neurological disorders, acute pain, peripheral arterial occlusive disease, and other diseases
57.2 17.4 Not Supplied
36 25 Not Supplied/ Applicable
No Focusing on personalized healthcare, it is essential to consider not only technological and clinical aspects during the early design phase, but also experiences and demands of users, i.e. patients and operators.
Intervention Perspective/ opinion/ usage
Kang 2019 No mention of health condition
Dyslipidemia 50.1 7.7 Not Supplied
18,025 11.65 0 No We believe that the identification of genes interacting with potentially modifiable risk factors will facilitate knowledge-based approaches to personalize health guidelines according to an individual's genetic profile.
Data analytics Sociodemographic/ economic, Anthropometric, Genetic/ genomic
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Karatekin 2018
No mention of health condition
Not Applicable 19 3.1 18 - 49 321 76.01 28.97 No Fortunately, past research in regulatory focus provides us with several directions relating to how prevention focused individuals can be motivated to engage in health-related behaviors, through tailoring health messages to with their regulatory focus. For instance, individuals with high levels of ACEs might be more motivated by health messages that highlight the gravity of negative outcomes related with the health condition (e.g., insomnia, low energy, inability to do tasks) and present the treatment as a way to avoid them, instead of focusing on the benefits attained through the treatment and how it may help meet the hopes and aspirations of the individual (e.g., have more energy, feel great, become more productive).
Risk assessment Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
Karkar 2016 With chronic illness
Irritable bowel syndrome
Not Supplied
Not Supplied
25 - 45 66 87.88 Not Supplied/ Applicable
No Understanding individual variation and treating individual needs is important in medicine and clinical science, an approach also known as personalized medicine. Although this term historically emphasized genetics and pharmacology, it is now expanding to include other areas of health and disease,2 recapturing the importance of personalized health..... Single case designs (SCDs), sometimes referred to as n-of-1 trials, can potentially advance personalized health.3In this type of design, an individual serves as their own control, highlighting an individual’s response to an intervention rather than a group’s.
Customized monitoring
Perspective/ opinion/ usage, Diet/ nutritional
Kasthurirathne 2020
No mention of health condition
Not Applicable 44.1 16.6 18 - 107
72484 65.10 74.80 Yes The combination of precision health [1] and population health initiatives in the United States have raised awareness about how clinical, behavioral, social risk, and social determinants of health factors influence an individual's use of medical services and their overall health and well-being [2].
Data analytics Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Diet/ nutritional, Socio-environmental,
Katariya 2018 No mention of health condition
Not Supplied Not Supplied
Not Supplied
Not Supplied
Not Supplied
Not Supplied/ Applicable
Not Supplied/ Applicable
No The system is used to re-rank health related recommendations obtained from third party health service providers, using the calendar-classified events to decide how much a given recommendation is relevant for the user. Thus, it can generate personalized health related recommendations.
Data analytics Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Kemp 2019 With chronic illness
Respiratory arrest, cardiac arrest, falls, pneumonia, high blood pressure, dementia, heart disease, depression, arthritis, osteoporosis, diabetes, chronic obstructive pulmonary disease, cancer, stroke
Not Supplied
Not Supplied
Not Supplied
28 60.71 35.71 No Lack of uniformity in health care delivery within and across communities, paired with convoy member and resident change, meant fluctuating health care arrangements, experiences, and outcomes captured by our core category, a process we label individualizing health care.
Risk assessment Perspective/ opinion/ usage
Kemp 2018 With chronic illness
Early-onset hip osteoarthritis
31.7 10 18 - 50 17 52.94 Not Supplied/ Applicable
No The control intervention encompassed individualised health education sessions covering topics such as exercise, diet, weight loss, and appropriate stretching.
Intervention Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Kemp 2015 With chronic illness
Early-onset hip osteoarthritis
Not Applicable
Not Applicable
Not Applicable
20 Not Supplied/ Applicable
Not Supplied/ Applicable
No In order to control for the psychosocial contact inherent with the physiotherapy treatment, the control treatment will encompass individualised health education sessions covering topics such as exercise, diet, weight loss and appropriate stretching, in a similar fashion to previously published clinical trials looking at physiotherapy management in older people with advanced hip OA.
Intervention Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Kerrigan 2020
With chronic illness
HIV 40 Not Supplied
18 - 66 410 100 100 Yes Related to this dynamic, one DR participant worried that some FSW receiving LA ART might stop using condoms consistently, if they believed that they were cured of HIV, further highlighting the importance of clear communication and tailored health education and messaging related to LA ART.
Intervention Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Psychological/ psychiatric
Kessels 2011 No mention of health condition
Not Applicable 21.3 2.54 19 - 28 41 100 Not Supplied/ Applicable
No Indeed, systematic literature reviews suggest that tailoring is associated with stronger behavior change effects than generic health education, especially in nutrition education interventions (Brug, Oenema, & Campbell, 2003; Kroeze, Werkman, & Brug, 2006; Noar, Benac, & Harris, 2007), whereas a recent randomized controlled study confirmed that individually tailored nutrition education messages receive more attention from the reader than non-
Intervention Perspective/ opinion/ usage, Diet/ nutritional
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
tailored health communications (Ruiter, Kessels, Jansma, & Brug, 2006).
Khalilia 2011 With acute illness, With chronic illness
Hospital inpatient admissions
Not Supplied
Not Supplied
0 - 119 10000 Not Supplied/ Applicable
Not Supplied/ Applicable
No Disease risk prediction along with tailored health communication can lead to an effective channel for delivering disease specific information for people who will be likely to need it.
Data analytics Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical,
Kim 2017 No mention of health condition
Not Applicable 22 2.45 19 - 29 100 62 100 No Given such documented superiority of customization over personalization, users who receive customized health information via their wearable device are more likely to adopt a positive evaluation of the information and a higher tendency toward self-preservation compared with those who receive personalized health information.
Customized monitoring
Perspective/ opinion/ usage
Kim 2015 With chronic illness
Type 2 diabetes 65.7 5 60 - 85 70 50 Not Supplied/ Applicable
No Real-time individualized feedback to data transferred from monitoring devices is essential in current u-healthcare systems.
Intervention Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Diet/ nutritional
Kitagawa 2015
No mention of health condition
Not Supplied 26.29 0.58 18 - 80 821 51 Not Supplied/ Applicable
No However, those receiving non-personalized health information were not only more likely to engage in risky behavior compared to the pure control and other treatment groups, they also sought out additional sexual partners.
Intervention Behavioural/ lifestyle/ physical activity
Kizakevich 2018
At-risk/pre-clinical disease stage
PTSD Not Supplied
Not Supplied
18 - 66 108 57.41 54.63 No To better support research in this domain, we first created the Personal Health Intervention Toolkit (PHIT), a mobile application (app) framework for personalized health intervention studies.
Intervention Sociodemographic/ economic, T23, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
Kulyk 2015 No mention of health condition
Not Applicable 17.4 3.1 12 - 24 37 48.65 Not Supplied/ Applicable
Yes They could especially benefit from personalized health technologies, designed for their special needs.
Intervention Not Applicable
Lan 2012 No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
769 Not Supplied/ Applicable
Not Supplied/ Applicable
No The novel idea behind the proposed mechanism is to discover personalized health trend of a person from the historical health records and the personal life-style, such that effective prediction on potential diseases can be achieve based on the discovered health trend.
Risk assessment Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Lee 2012 No mention of health condition
Not Applicable 53.36 14.3 >= 35 83 100 Not Supplied/ Applicable
No HIMS-everyday (Health Improvement and Management System) manages the subjects' body weight, BMI, body fat, blood pressure, blood sugar, and daily habits on the basis of their personalized health information and induces the
Intervention Anthropometric, Physiologic/ biochemical/ clinical
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
subjects to take action for their health control by method of stimulation.
Lee 2014 At-risk/pre-clinical disease stage
Cardiovascular disease
74.9 7.5 61 - 89 11 27.27 45.45 No Advances in the area of mobile health (mHealth) technology and improvements in information technology have resulted in the design and development of new patient-centric models for the provision of personalized health care services [1].
Intervention Perspective/ opinion/ usage
Lee 2014 With chronic illness
Hypertension, hyperlipidemia, stroke, angina pectoris, myocardial infarction, diabetes, thyroid disease, kidney failure, osteoarthritis, rheumatoid arthritis, osteoporosis, tuberculosis, asthma, gastric cancer, hepatoma, colorectal cancer, breast cancer, cervical cancer, lung cancer, other cancers, hepatitis B, hepatitis C, and liver cirrhosis.
70.64 4.69 >= 65 716 47.07 Not Supplied/ Applicable
Yes This study provides vital insights that can be incorporated into the design of personalized health management strategies and the development of interventions program, specifically for HRQoL improvement for the elderly with chronic diseases.
Data analytics Not Supplied
Leinonen 2017
No mention of health condition
Not Applicable 17.8 0.6 Not Supplied
496 0 Not Supplied/ Applicable
No In short, it included (1) automated tailored health information, exercise, and physical activity instructions based on the stage of exercise behavior change; (2) regular automated change check concerning the stage of exercise behavior change; (3) feedback on physical activity and sitting time; (4) Clans of Oulu conquering game based on a map and global positioning system (GPS; see below); (5) social networking; and (6) interface to communal youth services and a Web-based helpdesk for technical issues.
Intervention Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric (stage of change)
Liang 2011 At-risk/pre-clinical disease stage
Obesity 39.7 Not Supplied
Not Supplied
520 Not Supplied/ Applicable
Not Supplied/ Applicable
No Health communication is an important factor in disease prevention and health promotion. Research on health communication has shown that the most effective health communication is tailored health communication (THC). That is, message framing should be
Risk assessment Not Applicable
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
congruent with individual message receivers' needs and characteristics (e.g. health locus of control), skills (e.g. reading skill), abilities (e.g. information literacy), and motivations (Salovey and Williams-Piehota, 2004; Rimer and Kreuter, 2006; Rothman et al., 2006; Hibbard et al., 2007; Updegraff et al., 2007)
Lim 2011 With chronic illness
Type 2 Diabetes 67.2 4.1 > 60 154 55.84 Not Supplied/ Applicable
No The u-healthcare system can potentially provide disease prevention, early diagnosis, and early treatment, as well as continuous followup that are available whenever and wherever they are needed and requested. Such personalized health care services are import to diabetic patients whose disease management is depends primarily on time and frequency.
Intervention Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
Lim 2018 Explicit "recruitment" of healthy populations
Not Applicable 47.49 11.44 21 - 69 233 58.80 100 No How well do wearable metrics (both step- and HR-based) correlate with CVMD risk markers such that they are useful in the areas of clinical and/or translational research and personalized health monitoring?
Customized monitoring
Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Liu 2019 With chronic illness
Angina pectoris 53.47 6.29 Not Supplied
98 41.84 Not Supplied/ Applicable
No The authors set up an individualized health management team to provide professional guidance to the angina patients through training the team members' nursing theory and skills.
Intervention Sociodemographic/ economic, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
Liu 2020 With chronic illness
Autism Not Supplied
Not Supplied
Not Supplied
2591 Not Supplied/ Applicable
Not Supplied/ Applicable
No The National Academy of Medicine [2] urges the research community to target high-need patients from smaller homogeneous subgroups for precision health with better outcomes.
Data analytics Sociodemographic/ economic, Genetic/ genomic, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
Liu 2018 At-risk/pre-clinical disease stage
Overweight, obese
48 10.7 > 18 297 64.98 31.65 No The health partner and the participant then collaborated to create a personalized health plan that might include changes in diet or exercise, modification of risk-related behaviors (e.g., tobacco use, alcohol use), and stress reduction strategies such as yoga.
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Lohmann 2013
With chronic illness
Cancer Not Supplied
Not Supplied
Not Supplied
9 Not Supplied/ Applicable
Not Supplied/ Applicable
No Personalized health care (PHC) uses genetic information to understand requirements for health maintenance, disease prevention, and therapy. The aim of PHC is to select the right medicine at the right dose for the right patient at the right time [1-3].
Risk assessment Genetic/ genomic
Lu 2020 No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
ns Not Supplied/ Applicable
Not Supplied/ Applicable
No Our findings suggest that the existence of SCs (symptom clusters) which has robust relationships with related components of symptoms across different disease conditions acts a critical role in the directions in symptom science and precision health.
Data analytics Physiologic/ biochemical/ clinical
Lumpkins 2020
At-risk/pre-clinical disease stage, No mention of health condition
With a family member who has cancer
Not Supplied
Not Supplied
18 - 86 34 79.41 100 No Tailored health information that incorporates personal relevance and personal risk may increase an individual's health literacy and promote empowerment in decision making by representing relatable attitudes toward testing, beliefs about testing, and perceptions of cancer risk and control.
Risk assessment Genetic/ genomic, Perspective/ opinion/ usage
Luo 2020 With chronic illness
Hypertension Not Supplied
Not Supplied
Not Supplied
1000 Not Supplied/ Applicable
Not Supplied/ Applicable
No In the long term, this will help patients with hypertension reduce information asymmetry with physicians by personalized health education and improve their compliance.
Data analytics Perspective/ opinion/ usage
Mabuto 2017 With chronic illness
HIV median 34
Not Supplied
18 - 66 28 64.29 Not Supplied/ Applicable
No Using data collected from a randomized entry-into-care study (Thol-impilo study), we analyzed the content of longitudinal counseling sessions to describe how structured IPC (interpersonal health communication) can provide precision health communication to encourage care seeking.
Intervention Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Socio-environmental
Magadzire 2017
No mention of health condition
Not Applicable Not Supplied
Not Supplied
>= 18 900 Not Supplied/ Applicable
Not Supplied/ Applicable
No The MOV strategy as described in the Methodology for the assessment of missed opportunities for vaccination will aim to demonstrate the magnitude and identify causes of these missed opportunities, followed by tailored health system interventions with the objective to reduce them, leading to an increase in vaccination coverage and timeliness of routine vaccinations.
Customized monitoring
Sociodemographic/ economic
Marthick 2019
With chronic illness
Cancer 54 Not Supplied
28 - 79 49 77.55 Not Supplied/ Applicable
No Personalized health coaching elements were designed to deliver a motivational interviewing style intervention through a remote delivery platform [15].
Intervention Behavioural/ lifestyle/ physical activity
Martinsson 2018
With chronic illness With chronic illness
Type 1 diabetes Not Supplied
Not Supplied
Not Supplied
Not Supplied
Not Supplied/ Applicable
Not Supplied/ Applicable
No Nevertheless, our results suggest that a substantially reduced human effort-avoiding labor-intensive prior work by experts hand-crafting features based on extensive domain knowledge in designing and training machine learning
Data analytics Physiologic/ biochemical/ clinical
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
methods for precision health management can be feasible.
McHugh 2012
At-risk/pre-clinical disease stage
Obesity, overweight
41 9.3 22-63 238 34.87 Not Supplied/ Applicable
No Tailored communication is a promising approach to facilitating health behavior change given its ability to provide individualized information to large numbers of people
Intervention Anthropometric, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional, Socio-environmental
McPhee 2020 With chronic illness
Cerebral palsy 33.7 13.1 Not Supplied
31 45.16 Not Supplied/ Applicable
No Future research should include individualized health reports that explain the relationship between health-risk factors and inactivity-related disease and the benefits of PA (physical activity) to adults with CP (cerebral palsy), while providing a longer, tailored intervention with information on how to overcome barriers to PA participation.
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Socio-environmental
McReynolds 2019
With chronic illness
Prostate cancer 56 Not applicable
Not Applicable
1 0 Not Supplied/ Applicable
No In this era of precision health care, where new advances are being translated into clinical practice every day, it is vital that oncology nurses have a basic understanding of genomics.
Data analytics Genetic/ genomic
Meng 2020 Explicit "recruitment" of healthy populations, With chronic illness , No mention of health condition
Obstructive sleep apnea-hypopnea syndrome, hypertension
65.66 Not Supplied
22 - 75 7 71.43 Not Supplied/ Applicable
No Empowering the utility of the Internet of Things-enabled technology in personalized healthcare is still significantly challenged by the shortage of cost-effective and wearing comfortable biomedical devices to continuously provide real-time, patient-generated health data.
Customized monitoring
Physiologic/ biochemical/ clinical
Mohan 2018 At-risk/pre-clinical disease stage, With chronic illness
At risk of Type 2 Diabetes / hypertension or with Type 2 Diabetes / hypertension
Not Applicable
Not Applicable
>=30 12243 54.15 Not Supplied/ Applicable
Yes The intervention components include tailored health promotion using social marketing approaches for increasing public awareness and promoting population risk factor modification and reduction;
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional, Socio-environmental
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Moore 2019 With chronic illness
HIV, prehypertension
52 11.48 24 - 76 52 44.23 98.08 No Expanding on this definition, the goal of precision health is to integrate data about lifestyle and preferences, health status and behaviors, genomics, other physiological measures of health, and environment to design and deliver targeted, personalized interventions to assist individuals achieve and maintain optimal health and wellbeing (Khoury, Iademarco, & Riley, 2016).
Customized monitoring
Physiologic/ biochemical/ clinical
Mozafarinia 2020
With chronic illness
HIV Not Supplied
Not Supplied
Not Supplied
15 26.67 Not Supplied/ Applicable
No The specific aims of this work were (1) to develop a personalized health outcome profile as a feedback tool to improve self management in people living with chronic conditions such as HIV and (2) to evaluate the interpretability and usefulness of the feedback tool for setting specific goals.
Intervention Psychological/ psychiatric
Nag 2018 No mention of health condition
Not Supplied Not Supplied
Not Supplied
18 - 57 24 0 Not Supplied/ Applicable
No Broadly, the motivation for this work in the Brave New Ideas track is to open the frontier into personalized health state estimation from multi-modal data.
Data analytics Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Socio-environmental
Nakamura 2018
At-risk/pre-clinical disease stage
Smokers 53.1 Not Supplied
40 - 74 47727 9.27 100 No Active support offers more intensive personalized health guidance comprised of face-to-face counseling for lifestyle modification, followed by repeated counseling for at least 3 months.
Intervention Sociodemographic/ economic, Anthropometric, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Diet/ nutritional
Nedungadi 2018
No mention of health condition
Not Applicable Not Supplied
Not Supplied
29 - 69 29 50 Not Supplied/ Applicable
Yes The platform consists of a combination of multiple low-cost invasive and non-invasive sensors, an interface unit and a personalized health monitoring and awareness application (Fig. 1).
Intervention Sociodemographic/ economic, Physiologic/ biochemical/ clinical
New 2020 At-risk/pre-clinical disease stage
Hypertension Not Supplied
Not Supplied
Not Applicable
Not Supplied
Not Supplied/ Applicable
Not Supplied/ Applicable
No When possible, as in these examples, domain knowledge should be used to infer what subpopulations are useful for a given precision health problem. In cases where existing knowledge is not sufficiently complete to do this, ma-chine learning methods can discover informative subpopulations that lie latent in large heterogenous datasets.
Data analytics Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical
Newman-Casey 2018
With chronic illness
Glaucoma Not Applicable
Not Applicable
>= 40 57 Not Supplied/ Applicable
26.32 No In order to test the preliminary impact of the personalized eHealth intervention among non-adherent glaucoma patients, we will electronically monitor medication adherence longitudinally over 2 years.
Intervention Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Socio-environmental
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Nishita 2011 With chronic illness
Diabetes 48.5 9.7 20 - 62 190 62.63 82.63 No Understanding the associations between individual characteristics and self-perceptions can enable health care professionals to tailor health prevention interventions and programs to the needs of specific subpopulations.
Risk assessment Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric,
Noar 2011 At-risk/pre-clinical disease stage
Sexually transmitted diseases
26.93 6.9 18 - 44 293 45.73 100 Yes The current study represents the first step in a line of research to develop an innovative, computer-based tailored health communication intervention for African-Americans who visit a sexually transmitted disease (STD) clinic
Risk assessment Sociodemographic/ economic, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Socio-environmental
Noble 2015 No mention of health condition
Not Applicable Not Supplied
Not Supplied
>= 18 87 59.77 71.26 Yes Tailored health risk feedback contains less redundant information than generic feedback, and is therefore more likely to be read and remembered by individuals
Intervention Sociodemographic/ economic, Anthropometric, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional
Oh 2014 At-risk/pre-clinical disease stage
Osteopetrosis 66.2 8.2 51 - 83 41 100 100 Yes The participants in the intervention group monitored their health status (i.e., general health assessment, blood pressure, pulse rate, and body weight), and brief individualized health counseling was provided during each session.
Intervention Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Page 2014 No mention of health condition
Not Supplied Not Supplied
Not Supplied
Not Supplied
10 Not Supplied/ Applicable
Not Supplied/ Applicable
No Personalized health care depends crucially on large volumes of data about both individuals and populations. It is easy to imagine a near future in which it is common to wear a number of bio-sensors that continuously monitor various aspects of our physiological state, including heart rate, blood pressure, eye movement, brain activity, and many others.
Data analytics Physiologic/ biochemical/ clinical
Pak 2018 With acute illness
Typhoid fever Not Applicable
Not Applicable
Not Supplied
Not Supplied
Not Supplied/ Applicable
Not Supplied/ Applicable
No The goal of the HPAfrica study is to assess the generic and actual age-stratified and sex-stratified health behaviour.
Customized monitoring
Sociodemographic/ economic, Socio-environmental
Patel 2015 No mention of health condition
Not Applicable 43.05 13.29 18 - 75 83 59.04 27.71 No Additionally, providers indicated that the flexibility of such a platform could be used to provide tailored health information content through the use of disease or medical condition specific modules
Risk assessment Not Applicable
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Paterno 2020 At-risk/pre-clinical disease stage
Pregnancy Not Supplied
Not Supplied
18 - 45 24 100 Not Supplied/ Applicable
No Personalized health monitoring devices have been used in physical activity (Cadmus-Bertram et al., 2015) and diet interventions, but not sleep interventions during pregnancy.
Intervention Behavioural/ lifestyle/ physical activity, Sociodemographic/ economic,
Pathinarupothi 2019
Explicit "recruitment" of healthy populations, With acute illness
Atrial fibrillation, acute hypotensive episodes
54 Not Supplied
Not Supplied
211 Not Supplied/ Applicable
Not Supplied/ Applicable
Yes Rapid Active Summarization for Effective Prognosis (RASPRO): A software algorithm that converts voluminous multi-sensor patient data into clinically interpretable summaries in the form of severity symbols that we call as Personalized Health Motifs (PHMs).
Customized monitoring
Physiologic/ biochemical/ clinical
Pethiyagoda 2016
At-risk/pre-clinical disease stage
Acute respiratory failure
Not Supplied
Not Supplied
Not Supplied
90 Not Supplied/ Applicable
Not Supplied/ Applicable
No These existing models for risk prediction in the pediatric ICU fail to address additional relevant outcomes such as length of stay and risks associated regarding medical procedures to be performed, which may be more beneficial features to be considered to help increase ICU performance by better-personalized healthcare.
Data analytics Physiologic/ biochemical/ clinical
Pleasant 2020 No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
Not Supplied
Not Supplied/ Applicable
Not Supplied/ Applicable
Not Applicable
Tailoring health communication is a method to enhance the relevance of the information presented, and tailored interventions are more effective than non-tailored ones
Intervention Perspective/ opinion/ usage
Poorani 2018 No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
200 50 Not Supplied/ Applicable
No Vignesh Raguraman et al 20157, proposed a Genetic Algorithm (GA) based Personalized Healthcare System (GAPHS) that collects vital health parameters from wearable sensors and then classifies the data based on the mean and encodes each parameter to represent as a gene in a chromosome.
Data analytics Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Popescu 2011 With chronic illness
Hypertension, diabetes mellitus, and coronary atherosclerosis
Not Supplied
Not Supplied
Not Supplied
7,995,048
Not Supplied/ Applicable
Not Supplied/ Applicable
No Disease prediction is employed in different domains such as risk management, tailored health communication and public health.
Data analytics Sociodemographic/ economic, Physiologic/ biochemical/ clinical
Pozaic 2013 Explicit "recruitment" of healthy populations
Not Applicable 23.5 3.25 21 - 26 10 20 Not Supplied/ Applicable
No Wireless Body Area Network (WBAN) for continuous and personalized health monitoring of basic physiological parameters (ECG, breathing rate and body temperature) was developed at the Department of Electronic Systems and Information Processing at the Faculty of Electrical Engineering and Computing, University of Zagreb and we added the functionality of mobility measurement and assisted exercising.
Customized monitoring
Sociodemographic/ economic, Anthropometric, Behavioural/ lifestyle/ physical activity
Prichard 2015 No mention of health condition
Colorectal cancer, breast cancer, heart
20.01 2.87 17 - 29 116 Not Supplied/ Applicable
12.93 No One week later, each participant received an email containing links to a tailored health message and general
Intervention Physiologic/ biochemical/ clinical,
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
disease, and diabetes
health information or general health information alone, depending on their category (FHH: average risk, FHH: above-average risk or Control).
Behavioural/ lifestyle/ physical activity, Diet/ nutritional, Socio-environmental
Qin 2018 No mention of health condition
Not Supplied Not Supplied
Not Supplied
Not Supplied
Not Supplied
Not Supplied/ Applicable
Not Supplied/ Applicable
No A sensitive and rapid 1-N detection method using cost-effective and field portable sensor testing box has potential applications in personalized health monitoring and environmental monitoring.
Risk assessment Physiologic/ biochemical/ clinical
Qin 2019 With chronic illness
Coronary atherosclerotic cardiopathy
53.47 9.36 Not Supplied
98 42.86 Not Supplied/ Applicable
No Meanwhile, the team leader conducted one-to-one instructions for the members of the personalized health management group on the weak links in the formulation of the theoretical knowledge of coronary atherosclerotic cardiopathy, the personalized health management method, the knowledge of controlling sodium and water intake, and the dietetic monitoring logs, so as to ensure that the members of the personalized health management group were familiar with the educational contents of the coronary atherosclerotic cardiopathy related knowledge, personalized health management, emotional management, and exercise training.
Intervention Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Psychological/ psychiatric
Raat 2013 No mention of health condition
Not Applicable Not Applicable
Not Applicable
0 - 3 1250 Not Supplied/ Applicable
Not Supplied/ Applicable
No The Ehealth4Uth Healthy toddler intervention consists of an E-health module providing tailored health education regarding healthy child nutrition and activity behaviors, which is combined with face to face counseling by YHC nurses.
Intervention Behavioural/ lifestyle/ physical activity, Diet/ nutritional
Rabbi 2015 No mention of health condition
Not Applicable Not Supplied
Not Supplied
19 - >50
16 56.25 Not Supplied/ Applicable
No The novel functionality is an intelligent engine that provides personalized suggestions by learning a user's physical activity and dietary behaviors.
Intervention Perspective/ opinion/ usage, Psychological/ psychiatric, Behavioural/ lifestyle/ physical activity, Diet/ nutritional
Rapisarda 2013
With chronic illness
HIV 51
26 - 69 3138 Not Supplied/ Applicable
Not Supplied/ Applicable
No To clarify this issue, a tailored health surveillance program was applied to 3,138 HCWs from four Medical Institutions. All HCWs were screened for anti-HCV antibodies and for HCV-related extrahepatic manifestations.
Risk assessment Physiologic/ biochemical/ clinical, Genetic/ genomic
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Reid 2018 With chronic illness
Type 2 diabetes mellitus
Not Supplied
Not Supplied
Not Supplied
289 Not Supplied/ Applicable
Not Supplied/ Applicable
Yes Such individual or group activities need to focus on tailored health communication during which patients could actively participate.
Intervention Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional
Rezai 2019 No mention of health condition
Not Supplied 23.55 5.8 18 - 65 120 72.5 Not Supplied/ Applicable
No Although public health researchers have studied a wide variety of techniques for tailoring health messages, their findings have not been employed broadly in the design of persuasive systems.
Intervention Sociodemographic/ economic, Behavioural/ lifestyle/ physical activity
Rikard 2012 No mention of health condition
Not Applicable Not Supplied
Not Supplied
18 - 65 21 66.67 100 Yes Culturally tailored health information captures a group's norms, values, practices, ways of life, and meanings
Intervention Perspective/ opinion/ usage
Rosas 2020 No mention of health condition
Not Applicable Not Supplied
Not Supplied
>= 18 100 69 100 Yes Precision health is a new paradigm for health promotion, disease prevention, and treatment that takes into account heterogeneity in genes, environment, lifestyle, and social factors across groups for optimal maintenance of health and wellness across the lifecourse.
Risk assessment Sociodemographic/ economic, Perspective/ opinion/ usage
Rosenberg 2016
With chronic illness
Cancer 57 Not Supplied
21 - 98 1615 88.67 9.29 No In this report, we describe and assess the degree to which an RAV (risk-adapted visits) and SCP (survivorship care plan) promote individualized health care and self-management at the re-entry phase as cancer survivors transition from active treatment to follow-up care.
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
Rykov 2020 Explicit "recruitment" of healthy populations
Not Applicable 44.3 11.9 22 - 65 87 21.84 100 No As greater adoption of wearables can enhance personalized health monitoring, scale up population health screening, and facilitate early detection of some diseases, research should explore associations between metrics derived from consumer-grade wearables and clinical and biological health markers.
Customized monitoring
Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Samaan 2013 At-risk/pre-clinical disease stage
Myocardial infarction
53.8 11.4 30 - 82 367 52.04 100 No Several studies have shown that multimedia interventions to manage risk factors of common disorders and to modify health behaviors are effective [13-19]. Multimedia interventions include use of email messaging, text messaging, video- or computer-based education, and electronic personalized health records, which are attractive because they involve components of goal setting and feedback key
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Genetic/ genomic, Behavioural/ lifestyle/ physical activity, Diet/ nutritional
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
components of health behavior modification, are relatively cost efficient, and have the potential to be scalable to large numbers of individuals.
Sant'anna 2014
With acute illness
Total hip replacement
65 15 Not Supplied
53 Not Supplied/ Applicable
Not Supplied/ Applicable
No In the future, what will individualized health care look like from an institutional perspective?
Intervention Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Sastre 2019 No mention of health condition
Not Applicable Not Supplied
Not Supplied
12 - 17 23 30.43 100 Yes Consequently, the objectives of this program with newly arrived immigrant and refugee youth were to (1) examine health and nutrition behaviors through digital photography and (2) utilize digital photography to address risks through development of tailored health promotion materials.
Risk assessment Perspective/ opinion/ usage
Savage 2018 At-risk/pre-clinical disease stage
Travel-related illness
Not Supplied
Not Supplied
18 - >65
32 68.75 100 No This article was conceived in collaboration with Peel Public Health to provide locally relevant information that could guide the development of tailored health promotion strategies.
Risk assessment Sociodemographic/ economic, Perspective/ opinion/ usage, Psychological/ psychiatric
Schussler-FiorenzaRose 2019
With chronic illness
Type 2 diabetes 53.4 9.2 25 - 75 109 Not Supplied/ Applicable
44.95 Yes Precision health and medicine are entering a new era in which wearable sensors, omics technologies and computational methods have the potential to improve health and lead to mechanistic discoveries.
Data analytics Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Genetic/ genomic, Behavioural/ lifestyle/ physical activity
Sengupta 2019
No mention of health condition
Not Supplied Not Supplied
Not Supplied
Not Supplied
2 Not Supplied/ Applicable
Not Supplied/ Applicable
No The growing demand for flexible, ultrasensitive wearable sensors for myoelectric prosthesis, soft robotics, and personalized health monitoring applications has been the main driving factor behind the rapid advancement in soft and flexible material processing technologies.
Customized monitoring
Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Sim 2017 With chronic illness
Cancer 61.77 76.19 <65 to >65
625 58.4 Not Supplied/ Applicable
Yes Recently, with the increased use of the Internet and smartphones, numerous information and communication technology (ICT)-based self-management programs have been developed to assist cancer patients with personalized health care,7,8 and these programs are expected to substantially improve health outcomes.
Data analytics Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Psychological/ psychiatric
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Simione 2020 With chronic illness
Obesity 8.04 2.98 2-Dec 629 52.15 64.86 No We randomized children into one of two intervention arms: [1] enhanced primary care (n=361); or [2] enhanced primary care plus contextually tailored, health coaching (n=360).
Intervention Sociodemographic/ economic, Anthropometric, Behavioural/ lifestyle/ physical activity
Smith 2020 With chronic illness
Dementia 77.9 8.5 42 - 98 1434 52.02 5.51 Yes The growing move towards personalised health and social care systems [1, 2] means that every effort needs to be made to generate patient-reported outcome data.
Risk assessment Psychological/ psychiatric
Stewart 2019 At-risk/pre-clinical disease stage
Chronic diseases
Not Supplied
18 - >60
1063 38.94 Not Supplied/ Applicable
No Personalised health care, that is, health care tailored to an individual's characteristics and needs, is undergoing rapid developments.
Risk assessment Sociodemographic/ economic, Genetic/ genomic, Perspective/ opinion/ usage
Stewart 2018 Explicit "recruitment" of healthy populations
Not Applicable Not Applicable
Not Applicable
>= 18 892 Not Supplied/ Applicable
Not Supplied/ Applicable
No Product 1: personalised health check (PHC). The PHC consists of the Health Potential service (future health) and a general health check of the customer's current health.
Intervention Sociodemographic/ economic, Perspective/ opinion/ usage
Stienen 2015 With chronic illness
Non-Hodgkin's Lymphoma
56 11 30 - 70 12 41.67 Not Supplied/ Applicable
No This also points to personalized care, which can be defined as the delivery of care that is tailored to an individual patient.
Intervention Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Stolee 2012 At-risk/pre-clinical disease stage
Co-morbid chronic medical conditions
76.2 8.3 >55 90 58.89 Not Supplied/ Applicable
No The frail older patients cared for in GDH typically have multiple, complex, and highly individualized health problems for which comprehensive, interdisciplinary assessment and treatment approaches are generally recommended.
Customized monitoring
Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
Sturm 2018 With chronic illness
Coronary artery disease, type 1 diabetes, type 2 diabetes, hemochromatosis, melanoma, age-related macular degeneration, prostate cancer, and lupus
57.73 13.58 Not Supplied
128 49.22 10.94 Yes He continued integration of precision health into clinical practice will require re-evaluation of conventional approaches as more patients seek genomic counseling and testing.
Risk assessment Sociodemographic/ economic, Genetic/ genomic, Perspective/ opinion/ usage
Sullivan 2020 At-risk/pre-clinical disease stage
Mortality Not Supplied
Not Supplied
>= 65 69097 Not Supplied/ Applicable
Not Supplied/ Applicable
No Precision health initiatives, which aim to deliver personalized decision support recommendations, are becoming increasingly more important in promoting person centered care.
Risk assessment Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Psychological/ psychiatric
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Sun 2019 With chronic illness
Chronic heart failure
68.21 4.69 Not Supplied
100 40 Not Supplied/ Applicable
No In the present study, based on the full-course disease management model and the individual features of patients, we applied full-course individualized health education (FCIHE) in CHF patients, providing patients with scientific, professional, and tailored health guidance and helping them learn and adopt the concept of self-care behavior, in an attempt to provide new guidance for the development of self-care programs for CHF patients.
Intervention Physiologic/ biochemical/ clinical, Psychological/ psychiatric, Socio-environmental
Sztyler 2015 No mention of health condition
Not Supplied 23.1 1.81 Not Supplied
7 Not Supplied/ Applicable
Not Supplied/ Applicable
No In this context, personalized health solutions and lifestyle monitoring can help to ensure that people doing the right activity at the right time. However, the regular use of such methods is critical to achieve the desired result. Hence, barriers for the adoption must be low, and using both software and devices should be as comfortable as possible.
Customized monitoring
Sociodemographic/ economic, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity
Tabatabaei 2018
No mention of health condition
Not Supplied Not Supplied
Not Supplied
Not Supplied
60 Not Supplied/ Applicable
Not Supplied/ Applicable
No Reinforcement learning is a natural choice for personalization for health and wellbeing as it focuses on selecting the best actions with a more long term reward in mind.
Data analytics Sociodemographic/ economic, Behavioural/ lifestyle/ physical activity
Takahashi 2014
With chronic illness
Cancer Not Supplied
Not Supplied
Not Supplied
168 32.74 100 No Genomic information has been proposed to be utilized as the basis for personalized health care.
Data analytics Sociodemographic/ economic, Anthropometric, Genetic/ genomic, Behavioural/ lifestyle/ physical activity
Tampubolon 2018
With acute illness
Wound from circumcision
8.7 2.2 5-Dec 20 Not Supplied/ Applicable
Not Supplied/ Applicable
No In the era of personalized health, the quest for biomarker as tools of examination, of diagnosis and of follow up deemed necessary.
Customized monitoring
Physiologic/ biochemical/ clinical
Taualii 2014 No mention of health condition
Cancer Not Supplied
Not Supplied
18- >65
92 78.26 100 No Genomic science represents a new frontier for health research and will provide important tools for personalizing health care [1]. Biorepositories are facilities that collect and store specimens, "for example, blood, cord blood, placentas, and cancer tissue “for future research
Risk assessment Sociodemographic/ economic, Perspective/ opinion/ usage
Taylor 2018 No mention of health condition
Not Applicable 67 11 42 - 92 52 76.92 7.69 No Other research describes the uncertainty that informal caregivers of OA with chronic conditions often live with, and their need for general and tailored health information that is detailed, proactive, timely, and communicated at different times of illness.
Risk assessment Perspective/ opinion/ usage
Thiel 2011 No mention of health condition
Not Applicable Not Supplied
Not Supplied
15 - 18 1138 37.17 100 No The studies' results will serve as the basis for tailored health promotion strategies to be developed in
Risk assessment Not Applicable
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
cooperation with representatives of German elite sports' associations.
Thompson 2017
At-risk/pre-clinical disease stage
Human Papillomavirus
21.3 2.1 18 - 26 50 100 24 No Moreover, future interventions based on this research can tailor health information and messages specific to the unvaccinated subgroups of interest (i.e., women in monogamous relationships) and reinforce messages to assist women in assessing risk for acquiring HPV infection
Risk assessment Perspective/ opinion/ usage
Truong 2020 No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
408218 Not Supplied/ Applicable
0 No This result suggests that polygenic prediction integrating family information will be a useful tool for precision health and preventive medicine.
Risk assessment Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Genetic/ genomic, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric
Tseng 2018 No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
Not Supplied/ Applicable
Not Supplied/ Applicable
No Lin et al. [8] proposed VASP (Virtual Assistant System for Personal health management), a virtual assistant system for personal health management, which can analyze the report of regular comprehensive physical examination result to evaluate the health risk and provide personalized healthcare services for users in terms of diet and exercise guideline recommendations.
Data analytics Sociodemographic/ economic, Anthropometric, Behavioural/ lifestyle/ physical activity
Tucker 2016 No mention of health condition
Not Applicable 43 12.4 21-64 40 100 2.5 No The primary purpose of this study was to explore the feasibility, preliminary effects, and barriers and facilitators of integrating a 6-month worksite NEAT+ PA intervention, with personalized health coaching via text messaging, into the workflow of ambulatory clinic nursing staff (RNs and MAs).
Intervention Behavioural/ lifestyle/ physical activity
Turner 2014 No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
10 Not Supplied/ Applicable
Not Supplied/ Applicable
No Evidence based, personalized health care depends crucially on large volumes of data about both individuals and populations.
Data analytics Physiologic/ biochemical/ clinical
vandenBrekel-Dijkstra 2016
At-risk/pre-clinical disease stage
Cardiovascular disease
52.2 6.3 45 - 70 230 52.17 Not Supplied/ Applicable
Yes It offers users an individually tailored health management plan, which may include advice to visit a health professional for further diagnostic testing or evaluation, to change health-related lifestyle behaviour(s), and/or to maintain present healthful behaviours.
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
nutritional, Socio-environmental
vandenBroek 2017
No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
Not Supplied
Not Supplied/ Applicable
Not Supplied/ Applicable
No Proteins are major drivers of many disease pathways, and remote or longitudinal sample collection would offer great opportunities in population-based or personalized health monitoring [1], [2].
Customized monitoring
Physiologic/ biochemical/ clinical
vandenBroek 2017
Explicit "recruitment" of healthy populations
Not Applicable Not Supplied
Not Supplied
19 - 71 100 50 Not Supplied/ Applicable
No The visual nature of the method enables intuitive display and tracking of individual health status. In personalized health, this can serve as both a personal feedback method and a way to determine and address areas of health in which changes are occurring, for targeted advice and interventions.
Customized monitoring
Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional
vanDongen 2019
No mention of health condition
Not Applicable Not Applicable (protocol)
Not Applicable (protocol)
Not Applicable (protocol)
200 Not Supplied/ Applicable
Not Supplied/ Applicable
No Fourth, the activities generate outputs including increased community capacity and the implementation of tailored health-promotion activities, the ownership of which is held by the school community itself.
Intervention Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Diet/ nutritional
vanLimpt 2011
At-risk/pre-clinical disease stage, With chronic illness
Cardiovascular disease or diabetes, or with only a high cardiovascular risk
62.2 Not Supplied
<= 75 1275 65.73 Not Supplied/ Applicable
No The health advisor should complete computerized risk profiles, should give tailored health education and advices and should confer with the GP to optimize treatment.
Intervention Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity
vanOs 2017 Explicit "recruitment" of healthy populations, At-risk/pre-clinical disease stage, With acute illness, With chronic illness
Psychotic disorder, depression, residual depression
Not Supplied
Not Supplied
Not Supplied
1698 Not Supplied/ Applicable
Not Supplied/ Applicable
No In this article, we will discuss how the collection of intensive contextual mental state data, known as the experience sampling method (ESM) or ecological momentary assessment (EMA; Csikszentmihalyi, Larson,&Prescott, 1977), in the form of an mHealth smartphone application, has the potential to become a mainstream instrument to support self-monitoring, personalized health care and the development of self-insight and avenues for personal change and acceptance of disabilities in clinical practice.
Data analytics Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional
Vaughn 2019 With chronic illness
Oncologic, hematologic, immunologic, or metabolic diseases
Not Supplied
Not Supplied
Jul-18 20 Not Supplied/ Applicable
Not Supplied/ Applicable
No Although PBMT symptoms and symptom clusters may not be completely prevented or eliminated, data from mobile technologies can be leveraged to help patients, caregivers, and clinicians monitor symptoms and develop personalized health strategies.
Customized monitoring
Sociodemographic/ economic, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity,
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Psychological/ psychiatric
Vela 2019 No mention of health condition
Not Supplied Not Supplied
Not Supplied
Not Supplied
2 Not Supplied/ Applicable
Not Supplied/ Applicable
No In the end, the integration and suitability of these solutions for medical and personalized health monitoring applications may be unclear.
Customized monitoring
Anthropometric (height, weight, etc.)
Vilaro 2017 No mention of health condition
Not Applicable 20.2 1.6 Not Supplied
1292 1.32 49.15 No The measure may yield key information for tailoring health behavior change interventions and understanding how priorities may vary based on participant characteristics, which may be particularly important for students with nonhealth-related food choice priorities.
Risk assessment Diet/ nutritional
Vosbergen 2015
With chronic illness
Coronary heart disease
71.9 9.6 Not Supplied
213 Not Supplied/ Applicable
Not Supplied/ Applicable
Other: While tailoring health communication materials to specific types of pathology, therapies, behaviors, or psychological characteristics of patients has been found to be beneficial individual differences in patients' preferences for message features are rarely considered.
Intervention Sociodemographic/ economic, Perspective/ opinion/ usage
Wahbi 2018 At-risk/pre-clinical disease stage
Dystrophy type 1
39.3 13.7 Not Supplied
1066 51.41 Not Supplied/ Applicable
No A reliable prediction of long-term mortality in this progressive disease is of major importance to plan a personalized health surveillance program based on appropriate screenings, monitoring of manageable complications, and specific preventive measures to improve its prognosis.
Risk assessment Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Behavioural/ lifestyle/ physical activity
Wang 2016 No mention of health condition
Not Supplied Not Supplied
Not Supplied
13 - 30 202 Not Supplied/ Applicable
Not Supplied/ Applicable
No With the increasing popularity of mobile devices and development of wireless communication network technologies, more and more studies integrate mobile devices and context-aware technology for developing healthcare service platforms to support personalized health management to enhance the effectiveness of preventive medicine.
Data analytics Perspective/ opinion/ usage
Weijers 2018 Other 'Specific medical or complex issues'
3.9 Not Supplied
Not Supplied
26 88.46 Not Supplied/ Applicable
No A transformation of the current conventional health care, with treatment after a diagnosis (find it and fix it) to a predictive and personalized health care (predict it and personalize it) is needed.
Risk assessment Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Genetic/ genomic, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Socio-environmental
Wheeler 2018 With chronic illness
Crouzon Syndrome
Not Supplied
Not Supplied
18 - 78 9 55.56 11.11 Yes Without effective coping strategies, remaining physical, psychological, and emotional scars may impede the overall
Customized monitoring
Perspective/ opinion/ usage
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
QOL of those with CS. There is a need to develop tailored health education resources and services for this population and for the health practitioners, providers, and family members who support them.
Williams 2019
No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
16,894 Not Supplied/ Applicable
Not Supplied/ Applicable
No We therefore hypothesized that protein scanning could deliver comprehensive individualized health assessments but with single-source convenience and greater usability in typical medical practice.
Customized monitoring
Sociodemographic/ economic, Anthropometric, Behavioural/ lifestyle/ physical activity, Diet/ nutritional
Xia 2010 At-risk/pre-clinical disease stage
Tuberculosis Not Supplied (protocol)
Not Supplied (protocol)
Not Supplied (protocol)
Not Supplied
Not Supplied/ Applicable
Not Supplied/ Applicable
No The aim of ADACS was to recognize incidences, prognoses, impacts, and risk factors of anti-tuberculosis drugs induced ADRs in CNTS, and provide individualized health care and TB control policy suggestions.
Risk assessment Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Genetic/ genomic
Xiao 2019 No mention of health condition
Not Applicable Not Supplied
Not Supplied
Not Supplied
1000 Not Supplied/ Applicable
Not Supplied/ Applicable
No As summarized in Section 2, various approaches were proposed to either learn physiological patterns from behavioral data or provide personalized health recommendation or both.
Data analytics Behavioural/ lifestyle/ physical activity
Yang 2013 At-risk/pre-clinical disease stage
Excess weight during pregnancy
32 Not Applicable - just one participant
32 1 100 Not Supplied/ Applicable
No Personalized health planning with integrative health coaching (PHP-IHC) is a strategic intervention that applies a holistic and individualized approach to optimizing physical, mental, and social health.
Intervention Sociodemographic/ economic, Anthropometric, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional, Socio-environmental
Youm 2017 No mention of health condition
Not Supplied Not Supplied
Not Supplied
Not Supplied
143 Not Supplied/ Applicable
Not Supplied/ Applicable
No To examine the differences in the level of interest in health and the amount of exercise between a group of individuals that consistently utilized a personalized health management program using a Home healthcare PC and a group of individuals who did not, a 16-week long study was conducted on 143 male and female adults residing in the Gyeongnam region.
Intervention Sociodemographic/ economic, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity
Zang 2017 Explicit "recruitment" of healthy populations
Not Applicable 23 Not Supplied
20 - 29 5 60 Not Supplied/ Applicable
No Aware of the seriousness and potential risk of this issue, people pay more attention to their health status and eagerly require more related information to realize personalized healthcare.
Customized monitoring
Sociodemographic/ economic, Physiologic/ biochemical/ clinical
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN
Zhou 2010 Explicit "recruitment" of healthy populations, With acute illness, With chronic illness
Not Supplied 71.5 7.4 Not Supplied
2073 49.59 100 No The individualized health intervention (IHI) model has been used especially in behavior change, and has been proved successful
Intervention Sociodemographic/ economic, Anthropometric, Physiologic/ biochemical/ clinical, Perspective/ opinion/ usage, Behavioural/ lifestyle/ physical activity, Psychological/ psychiatric, Diet/ nutritional
Zhu 2017 With chronic illness
Cardiovascular disease
Not Supplied
Not Supplied
Not Supplied
9897 Not Supplied/ Applicable
Not Supplied/ Applicable
No Therefore, risks assessment of readmission for discharging patients and analysis of its risk factors can provide personalized health management advice for both patients and followed-up doctors.
Risk assessment Sociodemographic/ economic, Anthropometric
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any relianceSupplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Open
doi: 10.1136/bmjopen-2021-056938:e056938. 11 2021;BMJ Open, et al. Viana JN