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Design and Implementation of Behavioral Informatics Interventions

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Cognitive Informatics in Health and Biomedicine

Part of the book series: Health Informatics ((HI))

Abstract

The growing burden of chronic disease is drawing unprecedented attention to the importance of optimizing lifestyle behaviors. Interventions to promote behavior change seem promising, but their full potential can be missed when they are not easily disseminated or accessible to a larger audience. The ability of technology to address these issues, as well as to facilitate the tailoring of interventions, has led to the growing popularity of the field of behavioral informatics (BI).

Behavioral informatics interventions are designed to support patients and healthy consumers in modifying behaviors to improve health, with the help of computers, the Internet, mobile phones, wireless devices, or social media, among other technologies. To date, BI interventions have been applied in several health domains, from the promotion of healthy lifestyle behaviors to mental health and chronic disease self-management.

The effectiveness and impact of BI interventions are largely dependent on their meaningful design, development, evaluation, and implementation. Key elements for success include: performing a comprehensive observation and framing of the particular behavioral challenge within context; recognizing the relevant behavior change theories, models and techniques; having a deep understanding of user characteristics and needs; involving users throughout design and development; and refining the design through user-centred evaluation.

Due to the rapid pace of technology development, the evaluation of interventions and translation of research to practice are met with particular challenges. Innovative methodologies and implementation strategies are increasingly required to bring to fruition the potential of BI interventions in delivering cost-effective, personalized interventions, with broad scalability.

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References

  • Abraham C, Michie S. A taxonomy of behavior change techniques used in interventions. Heal Psychol [Internet]. 2008;27(3):379–87. Available from: http://doi.apa.org/getdoi.cfm?doi=10.1037/0278-6133.27.3.379

    Article  Google Scholar 

  • Albarracín D, Johnson BT, Fishbein M, Muellerleile P. Theories of reasoned action and planned behavior as models of condom use: a meta-analysis. Psychol Bull. 2001;127(1):142–61.

    Article  PubMed  PubMed Central  Google Scholar 

  • Andrews G, Cuijpers P, Craske MG, McEvoy P, Titov N. Computer therapy for the anxiety and depressive disorders is effective, acceptable and practical health care: a meta-analysis. PLoS One. 2010;5(10):e13196.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Bandura A. Social foundations of thought and action: a social cognitive theory. Prentice Hall: Englewood Cliffs, NJ; 1986.

    Google Scholar 

  • Bellg AJ, Borrelli B, Resnick B, Hecht J, Minicucci DS, Ory M, et al. Enhancing treatment fidelity in health behavior change studies: best practices and recommendations from the NIH Behavior Change Consortium. Heal Psychol [Internet]. 2004;23(5):443–51. Available from: <Go to ISI>://WOS:000223541300001

    Article  Google Scholar 

  • Bennett GG, Glasgow RE. The delivery of public health interventions via the Internet: actualizing their potential. Annu Rev Public Health [Internet]. 2009;30:273–92. [cited 2014 May 27]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19296777

    Article  Google Scholar 

  • van den Berg MH, Schoones JW, Vliet Vlieland TPM. Internet-based physical activity interventions: a systematic review of the literature. J Med Internet Res. 2007;9(3):e26.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bodenheimer T, Lorig K, Holman H, Grumbach K. Patient self-management of chronic disease in primary care. JAMA. 2002;288(19):2469–75.

    Article  PubMed  Google Scholar 

  • Boyd DM, Ellison NB. Social network sites: definition, history, and scholarship. J Comput Commun. 2007;13(1):210–30.

    Google Scholar 

  • Bravata DM, Smith-Spangler C, Sundaram V, Gienger AL, Lin N, Lewis R, et al. Using pedometers to increase physical activity and improve health: a systematic review. JAMA. 2007 Nov 21;298(19):2296–304.

    Article  CAS  PubMed  Google Scholar 

  • Brendryen H, Kraft P. Happy ending: a randomized controlled trial of a digital multi-media smoking cessation intervention. Addiction. 2008;103(3):478–84.

    Article  PubMed  Google Scholar 

  • Brendryen H, Drozd F, Kraft P. A digital smoking cessation program delivered through internet and cell phone without nicotine replacement (happy ending): Randomized controlled trial. J Med Internet Res. 2008;10(5):1–11.

    Article  Google Scholar 

  • Bridle C, Riemsma RP, Pattenden J, Sowden AJ, Mather L, Watt IS, et al. Systematic review of the effectiveness of health behavior interventions based on the transtheoretical model. Psychol Health [Internet]. 2005;20(3):283–301. Available from: http://tandfprod.literatumonline.com/doi/abs/10.1080/08870440512331333997

    Article  Google Scholar 

  • Brindal E, Freyne J, Saunders I, Berkovsky S, Smith G, Noakes M. Features predicting weight loss in overweight or obese participants in a web-based intervention: randomized trial. J Med Internet Res [Internet]. 2012;14(6):e173. [cited 2014 May 27]. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3558051%26tool=pmcentrez%26rendertype=abstract

    Article  Google Scholar 

  • Bull SS, Gaglio B, McKay HG, Glasgow RE. Harnessing the potential of the internet to promote chronic illness self-management: diabetes as an example of how well we are doing. Chronic Illn. 2005;1:143–55.

    Article  PubMed  Google Scholar 

  • Bull S, Levine D, Black S, Schmiege S, Santelli J. Social media–delivered sexual health intervention—a cluster randomized trial. Am J Prev Med. 2012;43(5):467–74.

    Article  PubMed  PubMed Central  Google Scholar 

  • Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc [Internet]. 2011;111(1):92–102. Available from: http://dx.doi.org/10.1016/j.jada.2010.10.008

    Article  Google Scholar 

  • Burns MN, Begale M, Duffecy J, Gergle D, Karr CJ, Giangrande E, et al. Harnessing context sensing to develop a mobile intervention for depression. J Med Internet Res. 2011;13(3):1–17.

    Article  Google Scholar 

  • Cavallo DN, Tate DF, Ries AV, Brown JD, Devellis RF, Ammerman AS. A social media–based physical activity intervention. Am J Prev Med. 2012;43(5):527–32.

    Article  PubMed  PubMed Central  Google Scholar 

  • Centola D. The spread of behavior in an online social network experiment. Science [Internet]. 2010;329(5996):1194–7. [cited 2014 May 23]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/20813952

    CAS  Google Scholar 

  • Centola D. An experimental study of homophily in the adoption of health behavior. Science [Internet]. 2011;334(6060):1269–72. [cited 2014 May 27]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22144624

    CAS  Google Scholar 

  • Chambers DA, Feero WG, Khoury MJ. Convergence of implementation science, precision medicine, and the learning health care system: a new model for biomedical research. JAMA [Internet]. 2016;315(18):1941–2. Available from: http://www.ncbi.nlm.nih.gov/pubmed/27163980

    Article  CAS  Google Scholar 

  • Chang T, Chopra V, Zhang C, Woolford SJ. The role of social media in online weight management: systematic review. J Med Internet Res [Internet]. 2013;15(11):e262. [cited 2014 May 27]. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3868982&tool=pmcentrez&rendertype=abstract

    Article  Google Scholar 

  • Cho JH, Chang SA, Kwon HS, Choi YH, Ko SH, Moon SD, et al. Long-term effect of the internet-based glucose monitoring system on HbA1c reduction and glucose stability: a 30-month follow-up study for diabetes management with a ubiquitous medical care system. Diabetes Care. 2006;29(12):2625–31.

    Article  PubMed  Google Scholar 

  • Chou WS, Prestin A, Lyons C, Wen K. Web 2.0 for health promotion: reviewing the current evidence. Am J Public Health. 2013 Jan;103(1):e9–18.

    Article  PubMed  PubMed Central  Google Scholar 

  • Civljak M, Stead LF, Hartmann-Boyce J, Sheikh A, Car J. Internet-based interventions for smoking cessation. In: Car J, editor. Cochrane database of systematic reviews [Internet]. John Wiley & Sons, Ltd: Chichester, UK; 2013. Available from: http://doi.wiley.com/10.1002/14651858.CD007078.pub4.

    Google Scholar 

  • Cobb NK, Graham AL. Health behavior interventions in the age of facebook. Am J Prev Med [Internet]. 2012;43(5):571–2. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23079184

    Article  Google Scholar 

  • Cohn AM, Hunter-Reel D, Hagman BT, Mitchell J. Promoting behavior change from alcohol use through mobile technology: the future of ecological momentary assessment. Alcohol Clin Exp Res. 2011 Dec;35(12):2209–15.

    Article  PubMed  PubMed Central  Google Scholar 

  • Coiera E. Guide to health informatics. 3rd ed. New York: CRC Press; 2015. 710 p.

    Google Scholar 

  • Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010;32(1):56–69.

    Article  PubMed  PubMed Central  Google Scholar 

  • Collins LM, Murphy SA, Bierman KL. A conceptual framework for adaptive preventive interventions. Prev Sci [Internet]. 2004;5(3):185–96. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3544191&tool=pmcentrez&rendertype=abstract

    Article  Google Scholar 

  • 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 [Internet]. 2007;32(5 Suppl):S112–8. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21959306

    Article  Google Scholar 

  • Collins LM, Dziak JJ, Li R. Design of experiments with multiple independent variables: a resource management perspective on complete and reduced factorial designs. Psychol Methods [Internet]. 2009;14(3):202–24. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19719358

    Article  Google Scholar 

  • Collins CE, Morgan PJ, Jones P, Fletcher K, Martin J, Aguiar EJ, et al. A 12-week commercial web-based weight-loss program for overweight and obese adults: randomized controlled trial comparing basic versus enhanced features. J Med Internet Res. 2012;14(2):128–43.

    Article  Google Scholar 

  • Costa BM, Fitzgerald KJ, Jones KM, Dunning AT. Effectiveness of IT-based diabetes management interventions: a review of the literature. BMC Fam Pract. 2009;10:72.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Cotter AP, Durant N, Agne AA, Cherrington AL. Internet interventions to support lifestyle modification for diabetes management: a systematic review of the evidence. J Diabetes Complicat. 2014;28:243–51.

    Article  PubMed  Google Scholar 

  • Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander J, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009;4(50):40–55.

    Google Scholar 

  • Davies C, Spence JC, Vandelanotte C, Caperchione CM, Mummery W. Meta-analysis of internet-delivered interventions to increase physical activity levels. Int J Behav Nutr Phys Act. 2012;9(1):52.

    Article  PubMed  PubMed Central  Google Scholar 

  • Dombrowski SU, Sniehotta FF, Avenell A, Johnston M, MacLennan G, Araújo-Soares V. Identifying active ingredients in complex behavioral interventions for obese adults with obesity-related co-morbidities or additional risk factors for co-morbidities: a systematic review. Health Psychol Rev. 2012;6(1):7–32.

    Article  Google Scholar 

  • Doumas DM, Andersen LL. Reducing alcohol use in first-year university students: evaluation of a web-based personalized feedback program. J Coll Couns [Internet]. 2009;12(1):18–32. Available from: http://doi.wiley.com/10.1002/j.2161-1882.2009.tb00037.x

    Article  Google Scholar 

  • Dusseldorp E, van Genugten L, van Buuren S, Verheijden MW, van Empelen P. Combinations of techniques that effectively change health behavior: evidence from Meta-CART analysis. Health Psychol [Internet]. 2014;33(12):1530–40. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24274802

    Article  Google Scholar 

  • Eapen ZJ, Peterson ED. Can mobile health applications facilitate meaningful behavior change?: Time for answers. JAMA. 2015;314(12):1236–7.

    Article  CAS  PubMed  Google Scholar 

  • Eccles M, Mittman B. Welcome to implementation science. Implement Sci [Internet]. 2006;1(1):1. Available from: http://www.implementationscience.com/content/1/1/1

    Article  Google Scholar 

  • El-Gayar O, Timsina P, Nawar N, Eid W. Mobile applications for diabetes self-management: status and potential. J Diabetes Sci Technol United States. 2013;7(1):247–62.

    Article  Google Scholar 

  • Eysenbach G, Powell J, Englesakis M, Rizo C, Stern A. Health related virtual communities and electronic support groups: systematic review of the effects of online peer to peer interactions. BMJ. 2004;328(4):1166.

    Article  PubMed  PubMed Central  Google Scholar 

  • Facebook Newsroom [Internet]. 2014. Available from: http://newsroom.fb.com/content/default.aspx?newsareaid=22.

  • Fanning J, Mullen SP, Mcauley E. Increasing physical activity with mobile devices: a meta-analysis. J Med Internet Res. 2012;14(6):1–11.

    Article  Google Scholar 

  • Fisher ES, Shortell SM, Savitz LA. Implementation science a potential catalyst for delivery system reform. JAMA [Internet]. 2016;315(4):1–2. Available from: http://jama.jamanetwork.com/article.aspx?articleid=2484347

    Google Scholar 

  • Fogg B. Texting 4 health: a simple, powerful way to improve lives. Stanford: Captology media; 2009.

    Google Scholar 

  • Foster D, Linehan C, Kirman B, Lawson S, Gary J. Motivating physical activity at work: using persuasive social media for competitive step counting. ACM [Internet] 2010 [cited 2014 May 27];(6):111–6. Available from: http://dl.acm.org/citation.cfm?id=1930510.

  • Foster C, Richards J, Thorogood M, Hillsdon M. Remote and web 2.0 interventions for promoting physical activity. Cochrane Database Syst Rev. 2013;9(9):CD010395.

    PubMed  Google Scholar 

  • Free C, Knight R, Robertson S, Whittaker R, Edwards P, Zhou W, et al. Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial. Lancet [Internet]. 2011;378(9785):49–55. Available from: http://dx.doi.org/10.1016/S0140-6736(11)60701-0

    Article  Google Scholar 

  • Free C, Phillips G, Watson L, Galli L, Felix L, Edwards P, et al. The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis. PLoS Med. 2013;10(1):e1001363.

    Article  PubMed  PubMed Central  Google Scholar 

  • Fry JP, Neff RA. Periodic prompts and reminders in health promotion and health behavior interventions: systematic review. J Med Internet Res. 2009;11(2):1–15.

    Article  Google Scholar 

  • Fulton E, Brown K, Kwah K, Wild S. StopApp: using the behavior change wheel to develop an app to increase uptake and attendance at NHS stop smoking services. Healthcare [Internet]. 2016;4(2):31. Available from: http://www.mdpi.com/2227-9032/4/2/31

    Article  Google Scholar 

  • Glanz K, Rimer B, Viswanath K. Health behavior and health education. 4th ed. San Francisco: John Wiley & Sons; 2008.

    Google Scholar 

  • Graham A, Cobb N, Papandonatos G, Moreno J, Kang H, Tinkelman D. A randomized trial of internet and telephone treatment for smoking cessation. Arch Intern Med [Internet]. 2011;171(8):46–53. [cited 2014 May 27]. Available from: http://archpsyc.jamanetwork.com/article.aspx?articleid=226380

    Google Scholar 

  • Greaves CJ, Sheppard KE, Abraham C, Hardeman W, Roden M, Evans PH, et al. Systematic review of reviews of intervention components associated with increased effectiveness in dietary and physical activity interventions. BMC Public Health [Internet]. 2011;11(1):119. Available from: http://www.biomedcentral.com/1471-2458/11/119

    Article  Google Scholar 

  • Gustafson DH, Shaw BR, Isham A, Baker T, Boyle MG, Levy M. Explicating an evidence-based, theoretically informed, mobile technology-based system to improve outcomes for people in recovery for alcohol dependence. Subst Use Misuse [Internet]. 2011;46(1):96–111. Available from: http://www.tandfonline.com/doi/full/10.3109/10826084.2011.521413

    Article  Google Scholar 

  • Hamm MP, Chisholm A, Shulhan J, Milne A, Scott SD, Given LM, et al. Social media use among patients and caregivers: a scoping review. BMJ Open [Internet]. 2013;3(5):1–10. [cited 2014 May 27]. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3651969&tool=pmcentrez&rendertype=abstract

    Google Scholar 

  • Harrison V, Proudfoot J, Wee PP, Parker G, Pavlovic DH, Manicavasagar V. Mobile mental health: review of the emerging field and proof of concept study. J Ment Health [Internet]. 2011;20(6):509–24. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21988230

    Article  Google Scholar 

  • Head KJ, Noar SM, Iannarino NT, Grant HN. Efficacy of text messaging-based interventions for health promotion: a meta-analysis. Soc Sci Med [Internet]. 2013;97:41–8. Available from: http://dx.doi.org/10.1016/j.socscimed.2013.08.003

    Article  Google Scholar 

  • Heron KE, Smyth JM. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behavior treatments. Br J Health Psychol [Internet]. 2010a;15(Pt 1):1–39. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19646331

    Article  Google Scholar 

  • Heron KE, Smyth JM. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behavior treatments. Br J Health Psychol Engl. 2010b;15(Pt 1):1–39.

    Article  Google Scholar 

  • Hester RK, Lenberg KL, Campbell W, Delaney HD. Overcoming addictions, a Web-based application, and SMART recovery, an online and in-person mutual help group for problem drinkers, part 1: three-month outcomes of a randomized controlled trial. J Med Internet Res. 2013;15(7):e134.

    Article  PubMed  PubMed Central  Google Scholar 

  • ISO 9241-210. Human-centred design for interactive systems. 2010.

    Google Scholar 

  • Jackson CL, Bolen S, Brancati FL, Batts-Turner ML, Gary TL. A systematic review of interactive computer-assisted technology in diabetes care: interactive information technology in diabetes care. J Gen Intern Med. 2006;21:105–10.

    PubMed  PubMed Central  Google Scholar 

  • Jimison H, Gorman P, Woods S, Nygren P, Walker M, Norris S, et al. Barriers and drivers of health information technology use for the elderly, chronically ill, and underserved. Evid Rep Technol Assess (Full Rep) [Internet]. 2008;(175):1–1422. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19408968.

  • Kiluk BD, Sugarman DE, Nich C, Gibbons CJ, Martino S, Rounsaville BJ, et al. A methodological analysis of randomized clinical trials of computer-assisted therapies for psychiatric disorders: Toward improved standards for an emerging field. Am J Psychiatry. 2011;168(8):790–9.

    Article  PubMed  PubMed Central  Google Scholar 

  • Krebs P, Prochaska JO, Rossi JS. A meta-analysis of computer-tailored interventions for health behavior change. Prev Med (Baltim) [Internet]. 2010;51(3–4):214–21. Available from: http://dx.doi.org/10.1016/j.ypmed.2010.06.004

    Article  Google Scholar 

  • Kreuter MW, Strecher VJ. Do tailored behavior change messages enhance the effectiveness of health risk appraisal? Results from a randomized trial. Heal Educ Res [Internet]. 1996;11(1):97–105. Available from: http://www.ncbi.nlm.nih.gov/pubmed/10160231

    Article  CAS  Google Scholar 

  • Kreuter MW, Strecher VJ, Glassman B. One size does not fit all: the case for tailoring print materials. Ann Behav Med. 1999;21(4):276–83.

    Article  CAS  PubMed  Google Scholar 

  • Kroeze W, Sc M, Werkman A, Brug J, Ph D, Med AB. A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviors. Ann Behav Med [Internet]. 2006;31:205–23. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16700634

    Article  Google Scholar 

  • Krummenacher I, Cavassini M, Bugnon O, Schneider MP. An interdisciplinary HIV-adherence program combining motivational interviewing and electronic antiretroviral drug monitoring. AIDS Care [Internet]. 2011;23(5):550–61. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21271406

    Article  Google Scholar 

  • Laranjo L, Arguel A, Neves AL, Gallagher AM, Kaplan R, Mortimer N, et al. The influence of social networking sites on health behavior change: a systematic review and meta-analysis. J Am Med Inform Assoc. 2015;22(1):243–56.

    Article  PubMed  Google Scholar 

  • Lorig KR, Sobel DS, Stewart AL, Brown BW, Bandura A, Ritter P, et al. Evidence suggesting that a chronic disease self-management program can improve health status while reducing hospitalization: a randomized trial. Med Care. 1999;37(1):5–14.

    Article  CAS  PubMed  Google Scholar 

  • Lorig K, Ritter PL, Laurent DD, Plant K, Green M, Jernigan VBB, et al. Online diabetes self-management program. Diabetes Care. 2010;33(6):1275–81.

    Article  PubMed  PubMed Central  Google Scholar 

  • LUMA Institute. Innovating for people: handbook of human-centered design methods. LUMA Institute, LLC: Pittsburgh, PA; 2012.

    Google Scholar 

  • Lustria MLA, Cortese J, Noar SM, Glueckauf RL. Computer-tailored health interventions delivered over the web: review and analysis of key components. Patient Educ Couns. 2009;74(2):156–73.

    Article  PubMed  Google Scholar 

  • Lustria ML, Noar SM, Cortese J, Van Stee SK, Glueckauf RL, Lee J. A meta-analysis of web-delivered tailored health behavior change interventions. J Health Commun [Internet]. 2013;18(9):1039–69. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23750972

    Article  Google Scholar 

  • Lyzwinski L. A systematic review and meta-analysis of mobile devices and weight loss with an intervention content analysis. J Pers Med. 2014;4(3):311–85.

    Article  PubMed  PubMed Central  Google Scholar 

  • Marsch L, Lord S, Dallery J, editors. Behavioral healthcare and technology: using science-based innovations to transform practice. 1st ed. New York: Oxford University Press; 2014. 368 p.

    Google Scholar 

  • Mayer A, Harrison J. Safe eats: an evaluation of the use of social media for food safety education. J Food Prot [Internet]. 2012;75(8):1453–63. [cited 2014 May 27]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22856569

    Article  Google Scholar 

  • McMahon GT, Gomes HE, Hohne SH, Hu TMJ, Levine BA, Conlin PR. Web-based care management in patients with poorly controlled diabetes. Diabetes Care. 2005;28:1624–9.

    Article  PubMed  PubMed Central  Google Scholar 

  • Michie S. Designing and implementing behavior change interventions to improve population health. Health Serv Res. 2008;13(October):64–70.

    Article  Google Scholar 

  • Michie S, Johnston M. Theories and techniques of behavior change: Developing a cumulative science of behavior change. Health Psychol Rev. 2012;6(1):37–41.

    Article  Google Scholar 

  • Michie S, Johnston M, Francis J, Hardeman W, Eccles M. From theory to intervention: mapping theoretically derived behavioral determinants to behavior change techniques. Appl Psychol. 2008;57(4):660–80.

    Article  Google Scholar 

  • Michie S, Fixsen D, Grimshaw JM, Eccles MP. Specifying and reporting complex behavior change interventions: the need for a scientific method. Implement Sci [Internet]. 2009a;4:40. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2717906&tool=pmcentrez&rendertype=abstract

    Article  Google Scholar 

  • Michie S, Abraham C, Whittington C, McAteer J, Gupta S. Effective techniques in healthy eating and physical activity interventions: a meta-regression. Health Psychol. 2009b;28(6):690–701.

    Article  PubMed  Google Scholar 

  • Michie S, van Stralen MM, West R. The behavior change wheel: a new method for characterising and designing behavior change interventions. Implement Sci. 2011a;6(1):42.

    Article  PubMed  PubMed Central  Google Scholar 

  • Michie S, Hyder N, Walia A, West R. Development of a taxonomy of behavior change techniques used in individual behavioral support for smoking cessation. Addict Behav [Internet]. 2011b;36(4):315–9. Available from: http://dx.doi.org/10.1016/j.addbeh.2010.11.016

    Article  Google Scholar 

  • Michie S, Churchill S, West R. Identifying evidence-based competences required to deliver behavioral support for smoking cessation. Ann Behav Med. 2011c;41(1):59–70.

    Article  PubMed  Google Scholar 

  • Michie S, Whittington C, Hamoudi Z, Zarnani F, Tober G, West R. Identification of behavior change techniques to reduce excessive alcohol consumption. Addiction. 2012;107(8):1431–40.

    Article  PubMed  Google Scholar 

  • 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;46(1):81–95.

    Article  PubMed  Google Scholar 

  • Michie S, West R, Campbell R, Brown J, Gainforth H. ABC of behavior change theories. London: Silverback Publishing; 2014.

    Google Scholar 

  • Moorhead SA, Hazlett DE, Harrison L, Carroll JK, Irwin A, Hoving C. A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. J Med Internet Res. 2013;15(4):e85.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mortimer NJ, Rhee J, Guy R, Hayen A, Lau AYS. A web-based personally controlled health management system increases sexually transmitted infection screening rates in young people: a randomized controlled trial. J Am Med Inform Assoc. 2015;22(4):805–14.

    Article  PubMed  Google Scholar 

  • Murphy SA. An experimental design for the development of adaptive treatment strategies. Stat Med [Internet]. 2005;24(10):1455–81. Available from: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15586395

    Article  CAS  Google Scholar 

  • Murray E, Burns J, See TS, Lai R, Nazareth I. Interactive Health Communication Applications for people with chronic disease. Cochrane database Syst Rev [Internet]. Chichester, UK: John Wiley & Sons, Ltd; 2005 [cited 2014 May 27];(4):CD004274. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16235356.

  • Myung S-K, McDonnell DD, Kazinets G, Seo HG, Moskowitz JM. Effects of Web- and computer-based smoking cessation programs: meta-analysis of randomized controlled trials. Arch Intern Med [Internet]. 2009;169(10):929–37. Available from: http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=dare&NEWS=N&AN=00125498-100000000-22074

    Article  Google Scholar 

  • Napolitano M, Hayes S, Bennett GG, Ives AK, Foster GD. Using Facebook and text messaging to deliver a weight loss program to college students. Obesity [Internet]. 2012;21(1):25–31. [cited 2014 May 27]. Available from: http://doi.wiley.com/10.1038/oby.2012.107

    Article  Google Scholar 

  • Narayan KMV, Ali MK, Koplan JP. Global noncommunicable diseases—where worlds meet. N Engl J Med. 2010;363:1196–8.

    Article  CAS  PubMed  Google Scholar 

  • Neve M, Morgan PJ, Jones PR, Collins CE. Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta-analysis. Obes Rev [Internet]. 2010;11(4):306–21. [cited 2014 May 27]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19754633

    Article  CAS  Google Scholar 

  • Newman S, Steed L, Mulligan K. Self-management interventions for chronic illness. Lancet. 2004;364(3):1523–37.

    Article  PubMed  Google Scholar 

  • Norris S, Engelgau M, Narayan K. Effectiveness of self-management training in type 2 diabetes: a systematic review of randomized controlled trials. Diabetes Care. 2001;24(3):561–87.

    Article  CAS  PubMed  Google Scholar 

  • Onken LS, Carroll KM, Shoham V, Cuthbert BN, Riddle M. Reenvisioning clinical science: unifying the discipline to improve the public health. Clin Psychol Sci [Internet]. 2014;2(1):22–34. Available from: http://cpx.sagepub.com/lookup/doi/10.1177/2167702613497932

    Article  Google Scholar 

  • Pal K, Eastwood SV, Michie S, Farmer A, Barnard ML, Peacock R, et al. Computer-based interventions to improve self-management in adults with type 2 diabetes: a systematic review and meta-analysis. Diabetes Care United States. 2014;37(6):1759–66.

    Article  Google Scholar 

  • Patel VL, Kaufman DR, Cohen T. Cognitive informatics. In: Patel VL, Kaufman DR, Cohen T, editors. Health and Biomedicine [Internet]. London: Springer; 2014. Available from: http://link.springer.com/10.1007/978-1-4471-5490-7.

    Google Scholar 

  • Pellegrini CA, Hoffman SA, Collins LM, Spring B. Optimization of remotely delivered intensive lifestyle treatment for obesity using the Multiphase Optimization Strategy: Opt-IN study protocol. Contemp Clin Trials [Internet]. 2014;38(2):251–9. Available from: http://dx.doi.org/10.1016/j.cct.2014.05.007

    Article  PubMed  PubMed Central  Google Scholar 

  • Pew Research Center. Social Media Update [Internet]. 2013. Available from: http://www.pewinternet.org/2013/12/30/social-media-update-2013/.

  • Portnoy DB, Scott-Sheldon LAJ, Johnson BT, Carey MP. Computer-delivered interventions for health promotion and behavioral risk reduction: a meta-analysis of 75 randomized controlled trials, 1988–2007. Prev Med (Baltim). 2008;47(1):3–16.

    Article  Google Scholar 

  • Prestwich A, Sniehotta FF, Whittington C, Dombrowski SU, Rogers L, Michie S. Does theory influence the effectiveness of health behavior interventions? Meta-analysis. Health Psychol [Internet]. 2014;33(5):465–74. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23730717

    Article  Google Scholar 

  • Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Heal Promot [Internet]. 1997;12(1):38–48. Available from: http://www.ajhpcontents.org/doi/abs/10.4278/0890-1171-12.1.38 and http://www.ncbi.nlm.nih.gov/pubmed/10170434

  • Proudfoot J. The future is in our hands: The role of mobile phones in the prevention and management of mental disorders. Aust N Z J Psychiatry [Internet]. 2013;47(2):111–3. Available from: http://pitt.idm.oclc.org/login?url=http://search.proquest.com/docview/1350347755?accountid=14709 and http://rt4rf9qn2y.search.serialssolutions.com/?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&rfr_id=info:sid/ProQ:psycinfo&rft_val_fmt=info:ofi/fmt:kev:mtx

  • Proudfoot J, Klein B, Barak A, Carlbring P, Cuijpers P, Lange A, et al. Establishing guidelines for executing and reporting internet intervention research. Cogn Behav Ther. 2011;40(2):82–97.

    Article  PubMed  Google Scholar 

  • Ralston JD, Revere D, Robins LS, Goldberg HI. Patients’ experience with a diabetes support programme based on an interactive electronic medical record: qualitative study. BMJ. 2004;328(7449):1159.

    Article  PubMed  PubMed Central  Google Scholar 

  • Reed VA, Schifferdecker KE, Rezaee ME, O’Connor S, Larson RJ. The effect of computers for weight loss: a systematic review and meta-analysis of randomized trials. J Gen Intern Med. 2012;27(1):99–108.

    Article  PubMed  Google Scholar 

  • Resnicow K, Strecher V, Couper M, Chua H, Little R, Nair V, et al. Methodologic and design issues in patient-centered e-Health research. Am J Prev Med [Internet]. 2010;38(1):98–102. Available from: http://dx.doi.org/10.1016/j.amepre.2009.09.034

    Article  Google Scholar 

  • 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 [Internet]. 2011;1(1):53–71. [cited 2014 Jan 22]. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3142960&tool=pmcentrez&rendertype=abstract

    Article  Google Scholar 

  • Riley WT, Glasgow RE, Etheredge L, Abernethy AP. Rapid, responsive, relevant (R3) research: a call for a rapid learning health research enterprise. Clin Transl Med [Internet]. 2013;2(1):10. [cited 2014 Feb 4]. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3658895&tool=pmcentrez&rendertype=abstract

    Article  Google Scholar 

  • Rivera DE, Pew MD, Collins LM. Using engineering control principles to inform the design of adaptive interventions: a conceptual introduction. Drug Alcohol Depend. 2007;88(Suppl. 2):1–23.

    Google Scholar 

  • Saitz R, Helmuth ED, Aromaa SE, Guard A, Belanger M, Rosenbloom DL. Web-based screening and brief intervention for the spectrum of alcohol problems. Prev Med (Baltim). 2004;39(5):969–75.

    Article  Google Scholar 

  • Samoocha D, Bruinvels DJ, Elbers NA, Anema JR, van der Beek AJ. Effectiveness of web-based interventions on patient empowerment: a systematic review and meta-analysis. J Med Internet Res. 2010;12(2):1–21.

    Article  Google Scholar 

  • Shahab L, McEwen A. Online support for smoking cessation: a systematic review of the literature. Addiction. 2009;104(11):1792–804.

    Article  PubMed  Google Scholar 

  • Shaw RJ, Steinberg DM, Zullig LL, Bosworth HB, Johnson CM, Davis LL. mHealth interventions for weight loss: a guide for achieving treatment fidelity. J Am Med Inform Assoc [Internet]. 2014;21:939–63. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24853065

    Google Scholar 

  • Solomon M, Wagner SL, Goes J. Effects of a Web-based intervention for adults with chronic conditions on patient activation: online randomized controlled trial. J Med Internet Res. 2012;14(1):e32.

    Article  PubMed  PubMed Central  Google Scholar 

  • Steinhubl SR, Muse ED, Topol EJ. Can mobile health technologies transform health care? JAMA. 2013;310(22):2395–6.

    Article  CAS  PubMed  Google Scholar 

  • Stevens VJ, Funk KL, Brantley PJ, Erlinger TP, Myers VH, Champagne CM, et al. Design and implementation of an interactive website to support long-term maintenance of weight loss. J Med Internet Res [Internet]. 2008;10(1):13–26. Available from: http://ezproxy.staffs.ac.uk/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2008-16986-002&site=ehost-live\nKristine.funk@kpchr.org

    Google Scholar 

  • Strecher VJ. Computer-tailored smoking cessation materials: a review and discussion. Patient Educ Couns. 1999;36(2):107–17.

    Article  CAS  PubMed  Google Scholar 

  • Strecher VJ, Kreuter M, Den Boer DJ, Kobrin S, Hospers HJ, Skinner CS. The effects of computer-tailored smoking cessation messages in family practice settings. J Fam Pract. 1994;39(3):262–70.

    CAS  PubMed  Google Scholar 

  • Suffoletto B, Callaway C, Kristan J, Kraemer K, Clark DB. Text-message-based drinking assessments and brief interventions for young adults discharged from the Emergency Department. Alcohol Clin Exp Res. 2012;36(3):552–60.

    Article  PubMed  Google Scholar 

  • Suffoletto B, Kristan J, Chung T, Jeong K, Fabio A, Monti P, et al. An interactive text message intervention to reduce binge drinking in young adults: a randomized controlled trial with 9-month outcomes. PLoS One. 2015;10(11):1–12.

    Article  CAS  Google Scholar 

  • Syrowatka A, Krömker D, Meguerditchian AN, Tamblyn R. Features of computer-based decision aids: systematic review, thematic synthesis, and meta-analyses. J Med Internet Res [Internet]. 2016;18(1):e20. Available from: http://www.jmir.org/2016/1/e20/

    Article  Google Scholar 

  • Tate DF, Wing RR, Winett RA. Using Internet technology to deliver a behavioral weight loss program. JAMA. 2001;285(9):1172–7. Available from: http://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&D=med4&AN=11231746 and http://jama.jamanetwork.com/data/Journals/JAMA/4774/JOC01569.pdf

  • Thakkar J, Kurup R, Laba T-L, Santo K, Thiagalingam A, Rodgers A, et al. Mobile telephone text messaging for medication adherence in chronic disease a meta-analysis. JAMA Intern Med. 2016;176(3):340–9.

    Article  PubMed  Google Scholar 

  • Turner-McGrievy G, Tate D. Tweets, Apps, and Pods: results of the 6-month Mobile Pounds Off Digitally (Mobile POD) randomized weight-loss intervention among adults. J Med Internet Res [Internet]. 2011;13(4):e120. [cited 2014 May 27]. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3278106&tool=pmcentrez&rendertype=abstract

    Article  Google Scholar 

  • Turner-McGrievy GM, Campbell MK, Tate DF, Truesdale KP, Bowling JM, Crosby L. Pounds off digitally study: a randomized podcasting weight-loss intervention. Am J Prev Med [Internet]. 2009;37(4):263–9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19765496

    Article  Google Scholar 

  • Valdez RS, Holden RJ, Novak LL, Veinot TC. Transforming consumer health informatics through a patient work framework: connecting patients to context. J Am Med Informatics Assoc [Internet]. 2014;22:2–10. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25125685 and http://jamia.oxfordjournals.org/cgi/doi/10.1136/amiajnl-2014-002826

  • Valle CG, Tate DF, Mayer DK, Allicock M, Cai J. A randomized trial of a Facebook-based physical activity intervention for young adult cancer survivors. J Cancer Surviv [Internet]. 2013;7(3):355–68. [cited 2014 May 27]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23532799

    Article  Google Scholar 

  • Van Genugten L, Van Empelen P, Boon B, Borsboom G, Visscher T, Oenema A. Results from an online computer-tailored weight management intervention for overweight adults: randomized controlled trial. J Med Internet Res. 2012;14(2):100–14.

    Google Scholar 

  • Voth EC, Oelke ND, Jung ME. A theory-based exercise app to enhance exercise adherence: a pilot study. JMIR mHealth uHealth [Internet]. 2016;4(2):e62. Available from: http://mhealth.jmir.org/2016/2/e62/

    Article  Google Scholar 

  • Walters ST, Wright JA, Shegog R. A review of computer and Internet-based interventions for smoking behavior. Addict Behav. 2006;31(2):264–77.

    Article  PubMed  Google Scholar 

  • Wantland DJ, Portillo CJ, Holzemer WL, Slaughter R, McGhee EM. The effectiveness of web-based vs. non-web-based interventions: a meta-analysis of behavioral change outcomes. J Med Internet Res. 2004;6(4):e40.

    Article  PubMed  PubMed Central  Google Scholar 

  • 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 Jan;12(1):e4.

    Article  PubMed  PubMed Central  Google Scholar 

  • Weitzel JA, Bernhardt JM, Usdan S, Mays D, Glanz K. Using wireless handheld computers and tailored text messaging to reduce negative consequence of drinking alcohol. J Stud Alcohol Drugs [Internet]. 2007;68(4):534–7. Available from: http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=psyc5&NEWS=N&AN=2007-09451-007

    Article  Google Scholar 

  • West R, Walia A, Hyder N, Shahab L, Michie S. Behavior change techniques used by the English Stop Smoking Services and their associations with short-term quit outcomes. Nicotine Tob Res. 2010;12(7):742–7.

    Article  PubMed  Google Scholar 

  • Whittaker R, Borland R, Bullen C, Lin RB, McRobbie H, Rodgers A. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev [Internet] 2009;(4):CD006611. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19821377

  • WHO—Department of Noncommunicable Disease Surveillance. Global status report on noncommunicable diseases [Internet]. 2014. Available from: http://www.who.int/nmh/publications/ncd_report_full_en.pdf.

  • Wieland LS, Falzon L, Sciamanna CN, Trudeau KJ, Brodney S, Schwartz JE, et al. Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people (Review). Cochrane Database Syst Rev [Internet]. 2012;8(8):CD007675. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22895964

    Google Scholar 

  • Williams G, Hamm MP, Shulhan J, Vandermeer B, Hartling L. Social media interventions for diet and exercise behaviors: a systematic review and meta-analysis of randomised controlled trials. BMJ Open. 2014;4(2):e003926.

    Article  PubMed  PubMed Central  Google Scholar 

  • Young SD, Jaganath D. Online social networking for HIV education and prevention: a mixed-methods analysis. Sex Transm Dis [Internet]. 2013;40(2):162–7. [cited 2014 May 24]. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3869787&tool=pmcentrez&rendertype=abstract

    Google Scholar 

  • Zeller A, Schroeder K, Peters TJ. Electronic pillboxes (MEMS) to assess the relationship between medication adherence and blood pressure control in primary care. Scand J Prim Health Care [Internet]. 2007;25(4):202–7. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3379760&tool=pmcentrez&rendertype=abstract

    Article  Google Scholar 

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  1. Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, North Ryde 2113, Sydney, NSW, Australia

    Liliana Laranjo M.D., M.P.H., Ph.D., Annie Lau B.E., Ph.D. & Enrico Coiera M.B.B.S., Ph.D.

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  1. Liliana Laranjo M.D., M.P.H., Ph.D.
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  2. Annie Lau B.E., Ph.D.
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  3. Enrico Coiera M.B.B.S., Ph.D.
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Correspondence to Liliana Laranjo M.D., M.P.H., Ph.D. .

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  1. The New York Academy of Medicine, New York, NY, USA

    Vimla L. Patel

  2. University of Waterloo, Waterloo, ON, Canada

    Jose F. Arocha

  3. Weill Cornell Medical College, New York, NY, USA

    Jessica S. Ancker

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Laranjo, L., Lau, A., Coiera, E. (2017). Design and Implementation of Behavioral Informatics Interventions. In: Patel, V., Arocha, J., Ancker, J. (eds) Cognitive Informatics in Health and Biomedicine. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-319-51732-2_2

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