Predicting user adherence to behavioral eHealth interventions in the real world: Examining which aspects of intervention design matter most

Translational Behavioral Medicine

Volumn 8, Issue 5, 2018, Pages 793-798

  Baumel, Amit ^a,b   Yom Tov, Elad ^c  

^a UNIVERSITY OF HAIFA   (Israel)

^b ZUCKER HILLSIDE HOSPITAL   (United States)

^c MICROSOFT RESEARCH   (United States)

Author keywords

Adherence; Behavior change; eHealth; Engagement; Evaluation; Persuasive design

Indexed keywords

ARTICLE; BEHAVIOR CHANGE; INTERNET; TELEHEALTH; ADULT; BEHAVIOR THERAPY; HUMAN; MENTAL DISEASE; PATIENT COMPLIANCE; PERSUASIVE COMMUNICATION; PROCEDURES; TELEMEDICINE; TREATMENT OUTCOME;

ADULT; BEHAVIOR THERAPY; HUMANS; INTERNET; MENTAL DISORDERS; OUTCOME AND PROCESS ASSESSMENT (HEALTH CARE); PATIENT COMPLIANCE; PERSUASIVE COMMUNICATION; TELEMEDICINE; THERAPEUTIC ALLIANCE;

EID: 85048880111     PISSN: 18696716     EISSN: 16139860     Source Type: Journal    
DOI: 10.1093/tbm/ibx037     Document Type: Article

References (30)

1. Aitken M, Gauntlett C. Patient apps for improved healthcare from novelty to mainstream. Parsippany, NJ: IMS Institute for Healthcare Informatics; 2013.
2. Catwell L, Sheikh A. Evaluating eHealth interventions: The need for continuous systemic evaluation. PLoS Med. 2009;6(8):e1000126.
3. Moller AC, Merchant G, Conroy DE, et al. Applying and advancing behavior change theories and techniques in the context of a digital health revolution: Proposals for more effectively realizing untapped potential. J Behav Med. 2017;40(1):85-98.
4. Krishna S, Boren SA, Balas EA. Healthcare via cell phones: A systematic review. Telemed J E Health. 2009;15(3):231-240.
5. Norman GJ, Zabinski MF, Adams MA, Rosenberg DE, Yaroch AL, Atienza AA. A review of eHealth interventions for physical activity and dietary behavior change. Am J Prev Med. 2007;33(4):336-345.
6. Naslund JA, Marsch LA, McHugo GJ, Bartels SJ. Emerging mHealth and eHealth interventions for serious mental illness: A review of the literature. J Ment Health. 2015;24(5):321-332.
7. van Ballegooijen W, Cuijpers P, van Straten A, et al. Adherence to Internet-based and face-to-face cognitive behavioural therapy for depression: A meta-analysis. PLoS One. 2014;9(7):e100674.
8. Christensen H, Griffiths KM, Farrer L. Adherence in internet interventions for anxiety and depression. J Med Internet Res. 2009;11(2):e13.
9. Wangberg SC, Bergmo TS, Johnsen JA. Adherence in Internet-based interventions. Patient Prefer Adherence. 2008;2:57-65.
10. Eysenbach G. The law of attrition. J Med Internet Res. 2005;7(1):e11.
11. Kohl LF, Crutzen R, de Vries NK. Online prevention aimed at lifestyle behaviors: A systematic review of reviews. J Med Internet Res. 2013;15(7):e146.
12. Ritterband LM, Thorndike FP, Cox DJ, Kovatchev BP, Gonder-Frederick LA. A behavior change model for internet interventions. Ann Behav Med. 2009;38(1):18-27.
13. Kok G, Schaalma H, Ruiter RA, van Empelen P, Brug J. Intervention mapping: Protocol for applying health psychology theory to prevention programmes. J Health Psychol. 2004;9(1):85-98.
14. Provost M, Koompalum D, Dong D, Martin BC. The initial development of the WebMedQual scale: Domain assessment of the construct of quality of health web sites. Int J Med Inform. 2006;75(1):42-57.
15. Kelders SM, Kok RN, Ossebaard HC, Van Gemert-Pijnen JE. Persuasive system design does matter: A systematic review of adherence to webbased interventions. J Med Internet Res. 2012;14(6):e152.
16. Webb TL, Joseph J, Yardley L, Michie S. Using the internet to promote health behavior change: A systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J Med Internet Res. 2010;12(1):e4.
17. Lalmas M, O'Brien H, Yom-Tov E. Measuring user engagement. Synthesis Lectures on Information Concepts, Retrieval, and Services. 2014;6(4):1-132.
18. Baumel A, Faber K, Mathur N, Kane JM, Muench F. Enlight: A comprehensive quality and therapeutic potential evaluation tool for mobile and web-based eHealth interventions. J Med Internet Res. 2017;19(3):e82.
19. White RW, Horvitz E. From health search to healthcare: Explorations of intention and utilization via query logs and user surveys. J Am Med Inform Assoc. 2014;21(1):49-55.
20. Couper MP, Alexander GL, Zhang N, et al. Engagement and retention: Measuring breadth and depth of participant use of an online intervention. J Med Internet Res. 2010;12(4):e52.
21. Danaher BG, Seeley JR. Methodological issues in research on web-based behavioral interventions. Ann Behav Med. 2009;38(1):28-39.
22. Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: Are our theories up to the task?. Transl Behav Med. 2011;1(1):53-71.
23. O'Brien HL, Toms EG. What is user engagement? A conceptual framework for defining user engagement with technology. J Assoc Inf Sci Technol. 2008;59(6):938-955.
24. Atkinson M, Kydd C. Individual characteristics associated with World Wide Web use: An empirical study of playfulness and motivation. ACM SIGMIS Database. 1997;28(2):53-62.
25. Baumel A. Making the case for a feasible evaluation method of available e-mental health products. Adm Policy Ment Health. 2016:1-4.
26. Cugelman B, Thelwall M, Dawes P. Online interventions for social marketing health behavior change campaigns: A meta-analysis of psychological architectures and adherence factors. J Med Internet Res. 2011;13(1):e17.
27. Danaher BG, Smolkowski K, Seeley JR, Severson HH. Mediators of a successful web-based smokeless tobacco cessation program. Addiction. 2008;103(10):1706-1712.
28. Makai P, Perry M, Robben SH, et al. Evaluation of an eHealth intervention in chronic care for frail older people: why adherence is the first target. J Med Internet Res. 2014;16(6):e156.
29. Christensen H, Griffiths K, Groves C, Korten A. Free range users and one hit wonders: Community users of an Internet-based cognitive behaviour therapy program. Aust N Z J Psychiatry. 2006;40(1):59-62.
30. Goel S, Hofman JM, Sirer MI. Who does what on the web: A large-scale study of browsing behavior. Paper presented at: ICWSM 122012; Dublin, Ireland.