IDEAS (integrate, design, assess, and share): A framework and toolkit of strategies for the development of more effective digital interventions to change health behavior

Journal of Medical Internet Research

Volumn 18, Issue 12, 2016, Pages

  Mummah, Sarah Ann ^a,b   Robinson, Thomas N ^a   King, Abby C ^a,c   Gardner, Christopher D ^a   Sutton, Stephen ^b  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c STANFORD UNIVERSITY   (United States)

Author keywords

Behavior change techniques; Behavioral theory; Design thinking; Diet; Digital health; Digital interventions; Exercise; Health behavior; Medication adherence; Mobile phones; Obesity; Sleep; Smoking cessation; Telemedicine; User centered design; Weight loss

Indexed keywords

BEHAVIOR THERAPY; HEALTH BEHAVIOR; HUMAN; PROCEDURES; TELEMEDICINE;

BEHAVIOR THERAPY; HEALTH BEHAVIOR; HUMANS; TELEMEDICINE;

EID: 85008429780     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.5927     Document Type: Article

References (87)

1. Azar KM, Lesser LI, Laing BY, Stephens J, Aurora MS, Burke LE, et al. Mobile applications for weight management: theory-based content analysis. Am J Prev Med 2013 Nov;45(5):583-589. [doi: 10.1016/j.amepre.2013.07.005] [Medline: 24139771]
2. 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 Mar;1(1):53-71 [FREE Full text] [doi: 10.1007/s13142-011-0021-7] [Medline: 21796270]
3. Pagoto S, Schneider K, Jojic M, DeBiasse M, Mann D. Evidence-based strategies in weight-loss mobile apps. Am J Prev Med 2013 Nov;45(5):576-582. [doi: 10.1016/j.amepre.2013.04.025] [Medline: 24139770]
4. Chen J, Cade JE, Allman-Farinelli M. The most popular smartphone apps for weight loss: a quality assessment. JMIR Mhealth Uhealth 2015;3(4):e104 [FREE Full text] [doi: 10.2196/mhealth.4334] [Medline: 26678569]
5. McLean V. Motivating patients to use smartphone health apps. PRWeb. 2011 Apr URL: http://www.prweb.com/releases/2011/04/prweb5268884.htm [accessed 2016-06-26] [WebCite Cache ID 6iYtbn6pb]
6. Payne HE, Lister C, West JH, Bernhardt JM. Behavioral functionality of mobile apps in health interventions: a systematic review of the literature. JMIR Mhealth Uhealth 2015;3(1):e20 [FREE Full text] [doi: 10.2196/mhealth.3335] [Medline: 25803705]
7. Baker TB, Gustafson DH, Shah D. How can research keep up with eHealth? Ten strategies for increasing the timeliness and usefulness of eHealth research. J Med Internet Res 2014;16(2):e36 [FREE Full text] [doi: 10.2196/jmir.2925] [Medline: 24554442]
8. Robinson T, Patrick K, Eng T, Gustafson D. An evidence-based approach to interactive health communication: a challenge to medicine in the information age. Science Panel on Interactive Communication and Health. JAMA 1998;280(14):1264-1269.
9. Pagoto S, Bennett GG. How behavioral science can advance digital health. Transl Behav Med 2013 Sep;3(3):271-276 [FREE Full text] [doi: 10.1007/s13142-013-0234-z] [Medline: 24073178]
10. Yardley L, Morrison L, Bradbury K, Muller I. The person-based approach to intervention development: application to digital health-related behavior change interventions. J Med Internet Res 2015;17(1):e30 [FREE Full text] [doi: 10.2196/jmir.4055]
11. Tate EB, Spruijt-Metz D, O'Reilly G, Jordan-Marsh M, Gotsis M, Pentz MA, et al. mHealth approaches to child obesity prevention: successes, unique challenges, and next directions. Transl Behav Med 2013 Dec;3(4):406-415 [FREE Full text] [doi: 10.1007/s13142-013-0222-3] [Medline: 24294329]
12. Hekler E, King A, Banerjee B, Robinson T, Alonso M, Cirimele J. A case study of BSUED: behavioral science-informed user experience design. In: Proceedings of the SIGCHI Conference Extended Abstracts on Human Factors in Computing Systems. 2011 Presented at: CHI 2011; May 7-12, 2011; Vancouver, BC p. 7-12.
13. Kumar S, Nilsen WJ, Abernethy A, Atienza A, Patrick K, Pavel M, et al. Mobile health technology evaluation: the mHealth evidence workshop. Am J Prev Med 2013 Aug;45(2):228-236 [FREE Full text] [doi: 10.1016/j.amepre.2013.03.017] [Medline: 23867031]
14. Bennett GG, Glasgow RE. The delivery of public health interventions via the Internet: actualizing their potential. Annu Rev Public Health 2009;30:273-292. [doi: 10.1146/annurev.publhealth.031308.100235] [Medline: 19296777]
15. Whittaker R, Merry S, Dorey E, Maddison R. A development and evaluation process for mHealth interventions: examples from New Zealand. J Health Commun 2012 May;17 Suppl 1:11-21. [doi: 10.1080/10810730.2011.649103] [Medline: 22548594]
16. Davis R, Campbell R, Hildon Z, Hobbs L, Michie S. Theories of behaviour and behaviour change across the social and behavioural sciences: a scoping review. Health Psychol Rev 2015 Sep;9(3):323-344 [FREE Full text] [doi: 10.1080/17437199.2014.941722] [Medline: 25104107]
17. Campbell M, Fitzpatrick R, Haines A, Kinmonth AL, Sandercock P, Spiegelhalter D, et al. Framework for design and evaluation of complex interventions to improve health. BMJ 2000 Sep 16;321(7262):694-696 [FREE Full text] [Medline: 10987780]
18. Campbell NC, Murray E, Darbyshire J, Emery J, Farmer A, Griffiths F, et al. Designing and evaluating complex interventions to improve health care. BMJ 2007 Mar 3;334(7591):455-459 [FREE Full text] [doi: 10.1136/bmj.39108.379965.BE] [Medline: 17332585]
19. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M, Medical Research Council Guidance. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ 2008;337:a1655 [FREE Full text] [Medline: 18824488]
20. Painter JE, Borba CP, Hynes M, Mays D, Glanz K. The use of theory in health behavior research from 2000 to 2005: a systematic review. Ann Behav Med 2008 Jun;35(3):358-362. [doi: 10.1007/s12160-008-9042-y] [Medline: 18633685]
21. Glanz K, Bishop DB. The role of behavioral science theory in development and implementation of public health interventions. Annu Rev Public Health 2010;31:399-418. [doi: 10.1146/annurev.publhealth.012809.103604] [Medline: 20070207]
22. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med 2013 Aug;46(1):81-95. [doi: 10.1007/s12160-013-9486-6] [Medline: 23512568]
23. Matheson GO, Klügl M, Engebretsen L, Bendiksen F, Blair SN, Börjesson M, et al. Prevention and management of noncommunicable disease: the IOC Consensus Statement, Lausanne 2013. Clin J Sport Med 2013 Nov;23(6):419-429. [doi: 10.1097/JSM.0000000000000038] [Medline: 24169298]
24. Kelley T, Kelley D. Creative Confidence: Unleashing the Creative Potential Within All of Us. New York: Crown Business; 2013.
25. Stanford d.school: Design Thinking Bootcamp Bootleg. 2011. URL: http://dschool.stanford.edu/wp-content/uploads/2011/03/BootcampBootleg2010v2SLIM.pdf [accessed 2016-11-22] [WebCite Cache ID 6mIYu233k]
26. Norman D, Draper S. User-centred system design: new perspective on human-computer interaction. Hillsdale, NJ: Lawrence Earlbaum Associate; 1986.
27. Hermawati S, Lawson G. Managing obesity through mobile phone applications: a state-of-the-Art review from a user-centred design perspective. Pers Ubiquit Comput 2014;18(8):2003-2023.
28. Martin R. Design of Business: Why Design Thinking is the Next Competitive Advantage. Boston: Harvard Business Press; 2009.
29. Dow SP, Glassco A, Kass J, Schwarz M, Schwartz DL, Klemmer SR. Parallel prototyping leads to better design results, more divergence, and increased self-efficacy. ACM Trans Comput-Hum Interact 2010 Dec 01;17(4):1-24. [doi: 10.1145/1879831.1879836]
30. Katoppo M, Sudradjat I. Combining Participatory Action Research (PAR) and Design Thinking (DT) as an alternative research method in architecture. Procedia Soc Behav Sci 2015 May;184:118-125. [doi: 10.1016/j.sbspro.2015.05.069]
31. Quade S, Schlueter O. Adapting design thinking for media prototyping: innovative collaboration at universities and workplaces. In: ICERI2014 Proceedings. 2014 Nov 17 Presented at: 7th International Conference of Education, Research and Innovation; Nov 17-19, 2014; Seville, Spain p. 5221-5229.
32. Fiordelli M, Diviani N, Schulz PJ. Mapping mHealth research: a decade of evolution. J Med Internet Res 2013;15(5):e95 [FREE Full text] [doi: 10.2196/jmir.2430] [Medline: 23697600]
33. Coughlin SS, Whitehead M, Sheats JQ, Mastromonico J, Hardy D, Smith SA. Smartphone applications for promoting healthy diet and nutrition: a literature review. Jacobs J Food Nutr 2015;2(3):21 [FREE Full text] [Medline: 26819969]
34. Horvath KJ, Ecklund AM, Hunt SL, Nelson TF, Toomey TL. Developing Internet-based health interventions: a guide for public health researchers and practitioners. J Med Internet Res 2015;17(1):e28 [FREE Full text] [doi: 10.2196/jmir.3770] [Medline: 25650702]
35. van Gemert-Pijnen JE, Nijland N, van LM, Ossebaard HC, Kelders SM, Eysenbach G, et al. A holistic framework to improve the uptake and impact of eHealth technologies. J Med Internet Res 2011;13(4):e111 [FREE Full text] [doi: 10.2196/jmir.1672] [Medline: 22155738]
36. Van Velsen L, Wentzel J, Van Gemert-Pijnen JE. Designing eHealth that matters via a multidisciplinary requirements development approach. JMIR Res Protoc 2013;2(1):e21 [FREE Full text] [doi: 10.2196/resprot.2547] [Medline: 23796508]
37. Ludden GD, van Rompay TJ, Kelders SM, van Gemert-Pijnen JE. How to increase reach and adherence of web-based interventions: a design research viewpoint. J Med Internet Res 2015;17(7):e172 [FREE Full text] [doi: 10.2196/jmir.4201] [Medline: 26163456]
38. Brown W, Yen P, Rojas M, Schnall R. Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating mobile health (mHealth) technology. J Biomed Inform 2013 Dec;46(6):1080-1087 [FREE Full text] [doi: 10.1016/j.jbi.2013.08.001] [Medline: 23973872]
39. Fjeldsoe BS, Miller YD, O'Brien JL, Marshall AL. Iterative development of MobileMums: a physical activity intervention for women with young children. Int J Behav Nutr Phys Act 2012;9:151 [FREE Full text] [doi: 10.1186/1479-5868-9-151] [Medline: 23256730]
40. Waterlander W, Whittaker R, McRobbie H, Dorey E, Ball K, Maddison R, et al. Development of an evidence-based mHealth weight management program using a formative research process. JMIR Mhealth Uhealth 2014;2(3):e18 [FREE Full text] [doi: 10.2196/mhealth.2850] [Medline: 25098337]
41. Whittaker R, Dorey E, Bramley D, Bullen C, Denny S, Elley CR, et al. A theory-based video messaging mobile phone intervention for smoking cessation: randomized controlled trial. J Med Internet Res 2011;13(1):e10 [FREE Full text] [doi: 10.2196/jmir.1553] [Medline: 21371991]
42. Whittaker R, Merry S, Stasiak K, McDowell H, Doherty I, Shepherd M, et al. MEMO-A mobile phone depression prevention intervention for adolescents: development process and postprogram findings on acceptability from a randomized controlled trial. J Med Internet Res 2012;14(1):e13 [FREE Full text] [doi: 10.2196/jmir.1857] [Medline: 22278284]
43. Mummah SA, Mathur M, King AC, Gardner CD, Sutton S. Mobile technology for vegetable consumption: a randomized controlled pilot study in overweight adults. JMIR Mhealth Uhealth 2016 May;4(2):e51 [FREE Full text] [doi: 10.2196/mhealth.5146] [Medline: 27193036]
44. Brown T, Wyatt J. Design thinking for social innovation. Stanford Soc Innov Rev 2010;30(5):29-53.
45. Thondoo M, Strachan DL, Nakirunda M, Ndima S, Muiambo A, Källander K, et al. Potential roles of Mhealth for community health workers: formative research with end users in Uganda and Mozambique. JMIR Mhealth Uhealth 2015;3(3):e76 [FREE Full text] [doi: 10.2196/mhealth.4208] [Medline: 26206419]
46. Hammersley M. Reading Ethnographic Research: A Critical Guide. London: Longman; 1990.
47. Peeters M, Megens C, Hummels C, Brombacher A. Experiential probes: probing for emerging behavior patterns in everyday life. 2013 Aug 26 Presented at: 2013 IASDR Conference: Consilience and Innovation in Design; Aug 26-30, 2013; Tokyo, Japan.
48. Gasparini A. Perspective and use of empathy in design thinking. 2015 Presented at: The Eighth International Conference on Advances in Computer-Human Interactions; Feb 22-27, 2015; Lisbon, Portugal.
49. Lynna GS, Akgunb AE. Project visioning: its components and impact on new product success. J Prod Innov Manag 2001 Nov;18(6):374-387. [doi: 10.1111/1540-5885.1860374]
50. Duhigg C. The power of habit: why we do what we do in life and business. New York: Random House Trade Paperbacks; 2012.
51. Dennison L, Morrison L, Conway G, Yardley L. Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study. J Med Internet Res 2013;15(4):e86 [FREE Full text] [doi: 10.2196/jmir.2583] [Medline: 23598614]
52. Bandura A. Social Foundations of Thought and Action. Englewood Cliffs, NJ: Prentice-Hall; 1986.
53. Robinson T. Stealth interventions for obesity prevention and control: motvating behavior change. In: Dubé L, Bechara A, Dagher A, Drewnowski A, Lebel J, James P, editors. Obesity Prevention: The Role of Brain and Society on Individual Behavior. New York: Elsevier Inc; 2010:319-327.
54. Wansink B. Mindless Eating: Why We Eat More Than We Think. New York: Bantam Books; 2006.
55. Ariely D. Predictably Irrational: The Hidden Forces that Shape our Decisions. New York: HarperCollins; 2008.
56. Bandura A. Self-Efficacy: The Exercise of Control. New York: Freeman and Company; 1997.
57. Lepper M, Master A, Yow W. Intrinsic motivation in education. In: Maehr ML, Karabenick SA, Urdan TC, editors. Advances in Motivation and Achievement, Volume 15: Social Psychological Perspectives. Bingley: Emerald; 2008:521-555.
58. Robinson TN, Borzekowski DLG. Effects of the SMART classroom curriculum to reduce child and family screen time. J Communication 2006 Mar;56(1):1-26. [doi: 10.1111/j.1460-2466.2006.00001.x]
59. Robinson TN. Save the world, prevent obesity: piggybacking on existing social and ideological movements. Obesity (Silver Spring) 2010 Feb;18 Suppl 1:S17-S22 [FREE Full text] [doi: 10.1038/oby.2009.427] [Medline: 20107456]
60. Dweck C. Mindset: The New Psychology of Success. New York: Ballantine Books; 2008.
61. Crum AJ, Langer EJ. Mind-set matters: exercise and the placebo effect. Psychol Sci 2007 Feb;18(2):165-171. [doi: 10.1111/j.1467-9280.2007.01867.x] [Medline: 17425538]
62. Petrie K, Cameron L, Ellis C, Buick D, Weinman J. Changing illness perceptions after myocardial infarction: an early intervention randomized controlled trial. Psychosom Med 2002;64(4):580-586.
63. Kelley T, Littman J. The Ten Faces of Innovation: IDEO's Strategies for Defeating the Devil's Advocate and Driving Creativity Throughout Your Organization. New York: Random House; 2005.
64. Pelled LH, Eisenhardt KM, Xin KR. Exploring the black box: an analysis of work group diversity, conflict, and performance. Admin Sci Quart 1999 Mar;44(1):1. [doi: 10.2307/2667029]
65. Dow S, Heddleston K, Klemmer S. The efficacy of prototyping under time constraints. In: Proceedings of the Seventh ACM Conference on Creativity and Cognition. 1640260: ACM; 2009 Presented at: C&C '09: Seventh ACM Conference on Creativity and Cognition; Oct 27-30, 2009; Berkeley, CA p. 165-174.
66. Vredenburg K, Isensee S, Righi C. User-Centered Design: An Integrated Approach. Upper Saddle River, NJ: Prentice Hall; 2002.
67. Schrage M. Serious Play: How the World's Best Companies Simulate to Innovate. Brighton: Harvard Business School Press; 1999.
68. Seidel V, Fixon S. Adopting design thinking in novice mutlidisciplinary teams: the application and limits of design methods and reflexive practices. J Prod Innov Manage 2013;30:19-33.
69. Spruijt-Metz D, Nilsen W. Dynamic models of behavior for just-in-time adaptive interventions. Lect Notes Comput Sc 2014;13(3):13-17.
70. Nahum-Shani S, Smith S, Tewari A, Witkiewitz K, Collins L, Spring B. Just-in-Time Adaptive Interventions (JITAIs): An Organizing Framework for Ongoing Health Behavior Support (Technical Report No. 14-126). University Park, PA: The Methodology Center; 2014:1-37.
71. Ries E. The Lean Startup: How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses. New York: Crown Business; 2011.
72. King AC, Hekler EB, Grieco LA, Winter SJ, Sheats JL, Buman MP, et al. Harnessing different motivational frames via mobile phones to promote daily physical activity and reduce sedentary behavior in aging adults. PLoS One 2013;8(4):e62613 [FREE Full text] [doi: 10.1371/journal.pone.0062613] [Medline: 23638127]
73. Eldridge SM, Ashby D, Feder GS, Rudnicka AR, Ukoumunne OC. Lessons for cluster randomized trials in the twenty-first century: a systematic review of trials in primary care. Clin Trials 2004 Feb 01;1(1):80-90. [doi: 10.1191/1740774504cn006rr]
74. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. Int J Nurs Stud 2013 May;50(5):587-592. [doi: 10.1016/j.ijnurstu.2012.09.010] [Medline: 23159157]
75. Nollen NL, Mayo MS, Carlson SE, Rapoff MA, Goggin KJ, Ellerbeck EF. Mobile technology for obesity prevention: a randomized pilot study in racial-And ethnic-minority girls. Am J Prev Med 2014 Apr;46(4):404-408 [FREE Full text] [doi: 10.1016/j.amepre.2013.12.011] [Medline: 24650843]
76. Evans D. Hierarchy of evidence: a framework for ranking evidence evaluating healthcare interventions. J Clin Nurs 2003 Jan;12(1):77-84. [Medline: 12519253]
77. Kraemer HC, Frank E, Kupfer DJ. Moderators of treatment outcomes: clinical, research, and policy importance. JAMA 2006 Sep 13;296(10):1286-1289. [doi: 10.1001/jama.296.10.1286] [Medline: 16968853]
78. Schulz KF. Randomized controlled trials. Clin Obstet Gynecol 1998 Jun;41(2):245-256. [Medline: 9646957]
79. Schulz KF, Chalmers I, Hayes RJ, Altman DG. Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials. JAMA 1995 Feb 1;273(5):408-412. [Medline: 7823387]
80. Schulz KF, Chalmers I, Grimes DA, Altman DG. Assessing the quality of randomization from reports of controlled trials published in obstetrics and gynecology journals. JAMA 1994 Jul 13;272(2):125-128. [Medline: 8015122]
81. Herman A, Botser IB, Tenenbaum S, Chechick A. Intention-to-treat analysis and accounting for missing data in orthopaedic randomized clinical trials. J Bone Joint Surg Am 2009 Sep;91(9):2137-2143. [doi: 10.2106/JBJS.H.01481] [Medline: 19723990]
82. Hollis S, Campbell F. What is meant by intention to treat analysis? Survey of published randomised controlled trials. BMJ 1999 Sep 11;319(7211):670-674. [doi: 10.1136/bmj.319.7211.670]
83. Moher D, Hopewell S, Schulz K, Montori V, Gøtzsche P, Devereaux P. CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials. J Clin Epidemiol 2010;63(8):e1-e37. [doi: 10.1016/j.jclinepi.2010.03.004]
84. Schneider F, Schulz DN, Pouwels LH, de Vries H, van Osch LA. The use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention. BMC Public Health 2013;13:721 [FREE Full text] [doi: 10.1186/1471-2458-13-721] [Medline: 23914991]
85. Gersick CJ. Marking time: predictable transitions in task groups. Acad Manage J 1989 Jun 01;32(2):274-309. [doi: 10.2307/256363]
86. Kelders SM, Van Gemert-Pijnen JE, Werkman A, Nijland N, Seydel ER. Effectiveness of a Web-based intervention aimed at healthy dietary and physical activity behavior: a randomized controlled trial about users and usage. J Med Internet Res 2011;13(2):e32 [FREE Full text] [doi: 10.2196/jmir.1624] [Medline: 21493191]
87. Collins LM, Murphy SA, Strecher V. The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions. Am J Prev Med 2007 May;32(5 Suppl):S112-S118 [FREE Full text] [doi: 10.1016/j.amepre.2007.01.022] [Medline: 17466815]