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Published in: Translational Behavioral Medicine 2/2017

Open Access 01-06-2017 | Systematic Reviews

Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis

Authors: Olga Perski, Ann Blandford, Robert West, Susan Michie

Published in: Translational Behavioral Medicine | Issue 2/2017

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Abstract

“Engagement” with digital behaviour change interventions (DBCIs) is considered important for their effectiveness. Evaluating engagement is therefore a priority; however, a shared understanding of how to usefully conceptualise engagement is lacking. This review aimed to synthesise literature on engagement to identify key conceptualisations and to develop an integrative conceptual framework involving potential direct and indirect influences on engagement and relationships between engagement and intervention effectiveness. Four electronic databases (Ovid MEDLINE, PsycINFO, ISI Web of Knowledge, ScienceDirect) were searched in November 2015. We identified 117 articles that met the inclusion criteria: studies employing experimental or non-experimental designs with adult participants explicitly or implicitly referring to engagement with DBCIs, digital games or technology. Data were synthesised using principles from critical interpretive synthesis. Engagement with DBCIs is conceptualised in terms of both experiential and behavioural aspects. A conceptual framework is proposed in which engagement with a DBCI is influenced by the DBCI itself (content and delivery), the context (the setting in which the DBCI is used and the population using it) and the behaviour that the DBCI is targeting. The context and “mechanisms of action” may moderate the influence of the DBCI on engagement. Engagement, in turn, moderates the influence of the DBCI on those mechanisms of action. In the research literature, engagement with DBCIs has been conceptualised in terms of both experience and behaviour and sits within a complex system involving the DBCI, the context of use, the mechanisms of action of the DBCI and the target behaviour.
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Literature
3.
go back to reference Kontos, E., Blake, K. D., Chou, W.-Y. S., & Prestin, A. (2014). Predictors of eHealth usage: insights on the digital divide from the Health Information National Trends Survey 2012. Journal of Medical Internet Research, 16(7), e172. doi:10.2196/jmir.3117.PubMedPubMedCentralCrossRef Kontos, E., Blake, K. D., Chou, W.-Y. S., & Prestin, A. (2014). Predictors of eHealth usage: insights on the digital divide from the Health Information National Trends Survey 2012. Journal of Medical Internet Research, 16(7), e172. doi:10.​2196/​jmir.​3117.PubMedPubMedCentralCrossRef
4.
go back to reference West, R., & Michie, S. (2016). A Guide to Development and Evaluation of Digital Interventions in Healthcare. London: Silverback Publishing. West, R., & Michie, S. (2016). A Guide to Development and Evaluation of Digital Interventions in Healthcare. London: Silverback Publishing.
5.
go back to reference Civljak, M., Stead, L. F., Sheikh, A., & Car, J. (2013). Internet-based interventions for smoking cessation. Cochrane Database Syst Rev, 7, CD007078. Civljak, M., Stead, L. F., Sheikh, A., & Car, J. (2013). Internet-based interventions for smoking cessation. Cochrane Database Syst Rev, 7, CD007078.
6.
go back to reference Whittaker, R., Borland, R., Bullen, C., Rb, L., Mcrobbie, H., & Rodgers, A. (2009). Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev, 4. Whittaker, R., Borland, R., Bullen, C., Rb, L., Mcrobbie, H., & Rodgers, A. (2009). Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev, 4.
7.
go back to reference Nair, N. K., Newton, N. C., Shakeshaft, A., Wallace, P., & Teesson, M. (2015). A systematic review of digital and computer-based alcohol intervention programs in primary care. Current Drug Abuse Reviews, 8(2), 111–118.PubMedCrossRef Nair, N. K., Newton, N. C., Shakeshaft, A., Wallace, P., & Teesson, M. (2015). A systematic review of digital and computer-based alcohol intervention programs in primary care. Current Drug Abuse Reviews, 8(2), 111–118.PubMedCrossRef
8.
9.
go back to reference Muntaner, A., Vidal-Conti, J., & Palou, P. (2015). Increasing physical activity through mobile device interventions: a systematic review. Health Informatics Journal, 1–19. doi:10.1177/1460458214567004. Muntaner, A., Vidal-Conti, J., & Palou, P. (2015). Increasing physical activity through mobile device interventions: a systematic review. Health Informatics Journal, 1–19. doi:10.​1177/​1460458214567004​.
10.
go back to reference Jones, K. R., Lekhak, N., & Kaewluang, N. (2014). Using mobile phones and short message service to deliver self-management interventions for chronic conditions: a meta-review. Worldviews on Evidence-Based Nursing/Sigma Theta Tau International, Honor Society of Nursing, 11(2), 81–88. doi:10.1111/wvn.12030.CrossRef Jones, K. R., Lekhak, N., & Kaewluang, N. (2014). Using mobile phones and short message service to deliver self-management interventions for chronic conditions: a meta-review. Worldviews on Evidence-Based Nursing/Sigma Theta Tau International, Honor Society of Nursing, 11(2), 81–88. doi:10.​1111/​wvn.​12030.CrossRef
11.
12.
go back to reference Cobb, N. K., Graham, A. L., Bock, B. C., Papandonatos, G., & Abrams, D. B. (2005). Initial evaluation of a real-world Internet smoking cessation system. Nicotine & Tobacco Research, 7(2), 207–216. doi:10.1080/14622200500055319.CrossRef Cobb, N. K., Graham, A. L., Bock, B. C., Papandonatos, G., & Abrams, D. B. (2005). Initial evaluation of a real-world Internet smoking cessation system. Nicotine & Tobacco Research, 7(2), 207–216. doi:10.​1080/​1462220050005531​9.CrossRef
14.
15.
go back to reference The Cochrane Collaboration. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. [Updated March 2011]. (J. Higgins & S. Green, Eds.) 2011 Retrieved from www.cochrane-handbook.org. The Cochrane Collaboration. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. [Updated March 2011]. (J. Higgins & S. Green, Eds.) 2011 Retrieved from www.cochrane-handbook.org.
16.
go back to reference Krishnan A What are academic disciplines? NCRM Working Paper Series: ESRC National Centre for Research Methods (2009). Krishnan A What are academic disciplines? NCRM Working Paper Series: ESRC National Centre for Research Methods (2009).
18.
go back to reference Csikszentmihalyi, M. (1990). Flow: the Psychology of Optimal Performance. New York: Cambridge University Press. Csikszentmihalyi, M. (1990). Flow: the Psychology of Optimal Performance. New York: Cambridge University Press.
20.
go back to reference Couper, M. P., Alexander, G. L., Zhang, N., Little, R. J. A., Maddy, N., Nowak, M. A., et al. (2010). Engagement and retention: measuring breadth and depth of participant use of an online intervention. Journal of Medical Internet Research, 12(4), e52. doi:10.2196/jmir.1430.PubMedPubMedCentralCrossRef Couper, M. P., Alexander, G. L., Zhang, N., Little, R. J. A., Maddy, N., Nowak, M. A., et al. (2010). Engagement and retention: measuring breadth and depth of participant use of an online intervention. Journal of Medical Internet Research, 12(4), e52. doi:10.​2196/​jmir.​1430.PubMedPubMedCentralCrossRef
24.
go back to reference Brouwer, W., Oenema, A., Raat, H., Crutzen, R., De Nooijer, J., De Vries, N. K., & Brug, J. (2010). Characteristics of visitors and revisitors to an Internet-delivered computer-tailored lifestyle intervention implemented for use by the general public. Health Educ Res, 25(4), 585–595. doi:10.1093/her/cyp063.PubMedCrossRef Brouwer, W., Oenema, A., Raat, H., Crutzen, R., De Nooijer, J., De Vries, N. K., & Brug, J. (2010). Characteristics of visitors and revisitors to an Internet-delivered computer-tailored lifestyle intervention implemented for use by the general public. Health Educ Res, 25(4), 585–595. doi:10.​1093/​her/​cyp063.PubMedCrossRef
25.
go back to reference Kelders, S. M., Kok, R. N., Ossebaard, H. C., & Van Gemert-Pijnen, J. E. W. C. (2012). Persuasive system design does matter: a systematic review of adherence to web-based interventions. Journal of Medical Internet Research, 14(6), e152. doi:10.2196/jmir.2104.PubMedPubMedCentralCrossRef Kelders, S. M., Kok, R. N., Ossebaard, H. C., & Van Gemert-Pijnen, J. E. W. C. (2012). Persuasive system design does matter: a systematic review of adherence to web-based interventions. Journal of Medical Internet Research, 14(6), e152. doi:10.​2196/​jmir.​2104.PubMedPubMedCentralCrossRef
26.
go back to reference Schubart, J. R., Stuckey, H. L., Ganeshamoorthy, A., & Sciamanna, C. N. (2011). Chronic health conditions and internet behavioral interventions: a review of factors to enhance user engagement. Computers, Informatics, Nursing, 29(2), 81–92. doi:10.1097/NCN.0b013e3182065eed.PubMedCrossRef Schubart, J. R., Stuckey, H. L., Ganeshamoorthy, A., & Sciamanna, C. N. (2011). Chronic health conditions and internet behavioral interventions: a review of factors to enhance user engagement. Computers, Informatics, Nursing, 29(2), 81–92. doi:10.​1097/​NCN.​0b013e3182065eed​.PubMedCrossRef
27.
go back to reference Huberman, M. A., & Miles, M. B. (1994). Data management and analysis methods. In Handbook of Qualitative Research (pp. 428–443). Thousand Oaks: SAGE Publications. Huberman, M. A., & Miles, M. B. (1994). Data management and analysis methods. In Handbook of Qualitative Research (pp. 428–443). Thousand Oaks: SAGE Publications.
28.
go back to reference O’Brien, H. L., & Toms, E. G. (2008). What is user engagement? A conceptual framework for defining user engagement with technology. J Am Soc Inf Sci Technol, 59(6), 938–955.CrossRef O’Brien, H. L., & Toms, E. G. (2008). What is user engagement? A conceptual framework for defining user engagement with technology. J Am Soc Inf Sci Technol, 59(6), 938–955.CrossRef
30.
go back to reference Short, C. E., Rebar, A. L., Plotnikoff, R. C., & Vandelanotte, C. (2015). Designing engaging online behaviour change interventions: a proposed model of user engagement. The European Health Psychologist, 17(1), 32–38. Short, C. E., Rebar, A. L., Plotnikoff, R. C., & Vandelanotte, C. (2015). Designing engaging online behaviour change interventions: a proposed model of user engagement. The European Health Psychologist, 17(1), 32–38.
31.
32.
34.
go back to reference Entwistle, V., Firnigl, D., Ryan, M., Francis, J., & Kinghorn, P. (2012). Which experiences of health care delivery matter to service users and why? A critical interpretive synthesis and conceptual map. Journal of Health Services Research & Policy, 17(2), 70–78. doi:10.1258/jhsrp.2011.011029.CrossRef Entwistle, V., Firnigl, D., Ryan, M., Francis, J., & Kinghorn, P. (2012). Which experiences of health care delivery matter to service users and why? A critical interpretive synthesis and conceptual map. Journal of Health Services Research & Policy, 17(2), 70–78. doi:10.​1258/​jhsrp.​2011.​011029.CrossRef
35.
go back to reference Kazimierczak, K. A., Skea, Z. C., Dixon-Woods, M., Entwistle, V. A., Feldman-Stewart, D., N’Dow, J. M. O., & MacLennan, S. J. (2013). Provision of cancer information as a “support for navigating the knowledge landscape”: findings from a critical interpretive literature synthesis. Eur J Oncol Nurs, 17(3), 360–369. doi:10.1016/j.ejon.2012.10.002.PubMedCrossRef Kazimierczak, K. A., Skea, Z. C., Dixon-Woods, M., Entwistle, V. A., Feldman-Stewart, D., N’Dow, J. M. O., & MacLennan, S. J. (2013). Provision of cancer information as a “support for navigating the knowledge landscape”: findings from a critical interpretive literature synthesis. Eur J Oncol Nurs, 17(3), 360–369. doi:10.​1016/​j.​ejon.​2012.​10.​002.PubMedCrossRef
36.
go back to reference Morrison, L., Yardley, L., Powell, J., & Michie, S. (2012). What design features are used in effective e-health interventions? A review using techniques from critical interpretive synthesis. Telemedicine and e-Health, 18(2), 137–144. doi:10.1089/tmj.2011.0062.PubMedCrossRef Morrison, L., Yardley, L., Powell, J., & Michie, S. (2012). What design features are used in effective e-health interventions? A review using techniques from critical interpretive synthesis. Telemedicine and e-Health, 18(2), 137–144. doi:10.​1089/​tmj.​2011.​0062.PubMedCrossRef
38.
go back to reference Thomson Reuters. EndNote X7. Philadelphia, USA 2013. Thomson Reuters. EndNote X7. Philadelphia, USA 2013.
40.
go back to reference Dixon-Woods, M., Sutton, A., Shaw, R., Miller, T., Smith, J., Young, B., et al. (2007). Appraising qualitative research for inclusion in systematic reviews: a quantitative and qualitative comparison of three methods. Journal of Health Services Research & Policy, 12(1), 42–47. doi:10.1258/135581907779497486.CrossRef Dixon-Woods, M., Sutton, A., Shaw, R., Miller, T., Smith, J., Young, B., et al. (2007). Appraising qualitative research for inclusion in systematic reviews: a quantitative and qualitative comparison of three methods. Journal of Health Services Research & Policy, 12(1), 42–47. doi:10.​1258/​1355819077794974​86.CrossRef
43.
go back to reference Brown E, Cairns P. A grounded investigation of game immersion. In CHI ‘04 Extended Abstracts on Human Factors in Computing Systems. (2004) 1297–1300. ACM. doi:10.1145/985921.986048. Brown E, Cairns P. A grounded investigation of game immersion. In CHI ‘04 Extended Abstracts on Human Factors in Computing Systems. (2004) 1297–1300. ACM. doi:10.​1145/​985921.​986048.
44.
go back to reference Bianchi-Berthouze N, Kim WW, Patel D. Does body movement engage you more in digital game play? and why? In Proceedings of the International Conference on Affective Computing and Intelligent Interaction. 2007: 102–113. Bianchi-Berthouze N, Kim WW, Patel D. Does body movement engage you more in digital game play? and why? In Proceedings of the International Conference on Affective Computing and Intelligent Interaction. 2007: 102–113.
45.
go back to reference Chou JC, Hung C, Hung Y. Design factors of mobile games for increasing gamers’ flow experiences. In Proceedings of the 2014 I.E. ICMIT. 2014:137–139. Chou JC, Hung C, Hung Y. Design factors of mobile games for increasing gamers’ flow experiences. In Proceedings of the 2014 I.E. ICMIT. 2014:137–139.
48.
go back to reference Oh, J., & Sundar, S. S. (2015). How does interactivity persuade? An experimental test of interactivity on cognitive absorption, elaboration, and attitudes. J Commun, 65, 213–236. doi:10.1111/jcom.12147.CrossRef Oh, J., & Sundar, S. S. (2015). How does interactivity persuade? An experimental test of interactivity on cognitive absorption, elaboration, and attitudes. J Commun, 65, 213–236. doi:10.​1111/​jcom.​12147.CrossRef
50.
go back to reference Schønau-Fog, H., & Bjørner, T. (2012). “Sure, I would like to continue”: a method for mapping the experience of engagement in video games. Bull Sci Technol Soc, 32(5), 405–412. doi:10.1177/0270467612469068.CrossRef Schønau-Fog, H., & Bjørner, T. (2012). “Sure, I would like to continue”: a method for mapping the experience of engagement in video games. Bull Sci Technol Soc, 32(5), 405–412. doi:10.​1177/​0270467612469068​.CrossRef
51.
go back to reference Jennett, C., Cox, A. L., Cairns, P., Dhoparee, S., Epps, A., Tijs, T., & Walton, A. (2008). Measuring and defining the experience of immersion in games. International Journal of Human-Computer Studies, 66(9), 641–661.CrossRef Jennett, C., Cox, A. L., Cairns, P., Dhoparee, S., Epps, A., Tijs, T., & Walton, A. (2008). Measuring and defining the experience of immersion in games. International Journal of Human-Computer Studies, 66(9), 641–661.CrossRef
52.
go back to reference McClure, J. B., Shortreed, S. M., Bogart, A., Derry, H., Riggs, K., St John, J., et al. (2013). The effect of program design on engagement with an internet-based smoking intervention: randomized factorial trial. Journal of Medical Internet Research, 15(3), e69. doi:10.2196/jmir.2508.PubMedPubMedCentralCrossRef McClure, J. B., Shortreed, S. M., Bogart, A., Derry, H., Riggs, K., St John, J., et al. (2013). The effect of program design on engagement with an internet-based smoking intervention: randomized factorial trial. Journal of Medical Internet Research, 15(3), e69. doi:10.​2196/​jmir.​2508.PubMedPubMedCentralCrossRef
54.
go back to reference Wang, J., Sereika, S. M., Chasens, E. R., Ewing, L. J., Matthews, J. T., & Burke, L. E. (2012). Effect of adherence to self-monitoring of diet and physical activity on weight loss in a technology-supported behavioral intervention. Patient Preference and Adherence, 6, 221–226.PubMedPubMedCentralCrossRef Wang, J., Sereika, S. M., Chasens, E. R., Ewing, L. J., Matthews, J. T., & Burke, L. E. (2012). Effect of adherence to self-monitoring of diet and physical activity on weight loss in a technology-supported behavioral intervention. Patient Preference and Adherence, 6, 221–226.PubMedPubMedCentralCrossRef
55.
go back to reference Calleja, G. (2007). Digital game involvement. Games & Culture, 2(3), 236–260.CrossRef Calleja, G. (2007). Digital game involvement. Games & Culture, 2(3), 236–260.CrossRef
57.
go back to reference Han, J. Y., Kim, J.-H., Yoon, H. J., Shim, M., McTavish, F. M., & Gustafson, D. H. (2012). Social and psychological determinants of levels of engagement with an online breast cancer support group: posters, lurkers, and non-users. J Health Commun, 17(3), 356–371. doi:10.1080/10810730.2011.585696.Social.PubMedCrossRef Han, J. Y., Kim, J.-H., Yoon, H. J., Shim, M., McTavish, F. M., & Gustafson, D. H. (2012). Social and psychological determinants of levels of engagement with an online breast cancer support group: posters, lurkers, and non-users. J Health Commun, 17(3), 356–371. doi:10.​1080/​10810730.​2011.​585696.​Social.PubMedCrossRef
59.
go back to reference Chiang, Y.-T., Lin, S. S. J., Cheng, C.-Y., & Liu, E. Z.-F. (2011). Exploring online game players’ flow experiences and positive affect. The Turkish Online Journal of Educational Technology, 10(1), 106–114. Chiang, Y.-T., Lin, S. S. J., Cheng, C.-Y., & Liu, E. Z.-F. (2011). Exploring online game players’ flow experiences and positive affect. The Turkish Online Journal of Educational Technology, 10(1), 106–114.
63.
go back to reference Hilvert-Bruce, Z., Rossouw, P. J., Wong, N., Sunderland, M., & Andrews, G. (2012). Adherence as a determinant of effectiveness of internet cognitive behavioural therapy for anxiety and depressive disorders. Behav Res Ther, 50(7–8), 463–468. doi:10.1016/j.brat.2012.04.001.PubMedCrossRef Hilvert-Bruce, Z., Rossouw, P. J., Wong, N., Sunderland, M., & Andrews, G. (2012). Adherence as a determinant of effectiveness of internet cognitive behavioural therapy for anxiety and depressive disorders. Behav Res Ther, 50(7–8), 463–468. doi:10.​1016/​j.​brat.​2012.​04.​001.PubMedCrossRef
65.
go back to reference Martey, R. M., Kenski, K., Folkestad, J., Feldman, L., Gordis, E., Shaw, A., et al. (2014). Measuring game engagement: multiple methods and construct complexity. Simulation & Gaming, 45, 528–547. doi:10.1177/1046878114553575.CrossRef Martey, R. M., Kenski, K., Folkestad, J., Feldman, L., Gordis, E., Shaw, A., et al. (2014). Measuring game engagement: multiple methods and construct complexity. Simulation & Gaming, 45, 528–547. doi:10.​1177/​1046878114553575​.CrossRef
66.
go back to reference Morrison, L., Moss-Morris, R., Michie, S., & Yardley, L. (2014). Optimizing engagement with Internet-based health behaviour change interventions: comparison of self-assessment with and without tailored feedback using a mixed methods approach. Br J Health Psychol, 19, 839–855. doi:10.1111/bjhp.12083.PubMedCrossRef Morrison, L., Moss-Morris, R., Michie, S., & Yardley, L. (2014). Optimizing engagement with Internet-based health behaviour change interventions: comparison of self-assessment with and without tailored feedback using a mixed methods approach. Br J Health Psychol, 19, 839–855. doi:10.​1111/​bjhp.​12083.PubMedCrossRef
67.
go back to reference O’Brien, H. L., & Toms, E. G. (2010). The development and evaluation of a survey to measure user engagement. Journal of the American Society for Information Science & Technology, 61(1), 50–69. doi:10.1002/asi.CrossRef O’Brien, H. L., & Toms, E. G. (2010). The development and evaluation of a survey to measure user engagement. Journal of the American Society for Information Science & Technology, 61(1), 50–69. doi:10.​1002/​asi.CrossRef
68.
go back to reference Bossen, D., Buskermolen, M., Veenhof, C., de Bakker, D., & Dekker, J. (2013). Adherence to a web-based physical activity intervention for patients with knee and/or hip osteoarthritis: a mixed method study. Journal of Medical Internet Research, 15(10), e223. doi:10.2196/jmir.2742.PubMedPubMedCentralCrossRef Bossen, D., Buskermolen, M., Veenhof, C., de Bakker, D., & Dekker, J. (2013). Adherence to a web-based physical activity intervention for patients with knee and/or hip osteoarthritis: a mixed method study. Journal of Medical Internet Research, 15(10), e223. doi:10.​2196/​jmir.​2742.PubMedPubMedCentralCrossRef
70.
go back to reference Arden-Close, E. J., Smith, E., Bradbury, K., Morrison, L., Dennison, L., Michaelides, D., & Yardley, L. (2015). A visualization tool to analyse usage of web-based interventions: the example of positive online weight reduction (POWeR). Journal of Medical Internet Research, 2(1), e8. doi:10.2196/humanfactors.4310. Arden-Close, E. J., Smith, E., Bradbury, K., Morrison, L., Dennison, L., Michaelides, D., & Yardley, L. (2015). A visualization tool to analyse usage of web-based interventions: the example of positive online weight reduction (POWeR). Journal of Medical Internet Research, 2(1), e8. doi:10.​2196/​humanfactors.​4310.
71.
go back to reference Carter, M. C., Burley, V. J., Nykjaer, C., & Cade, J. E. (2013). Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial. Journal of Medical Internet Research, 15(4), e32. doi:10.2196/jmir.2283.PubMedPubMedCentralCrossRef Carter, M. C., Burley, V. J., Nykjaer, C., & Cade, J. E. (2013). Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial. Journal of Medical Internet Research, 15(4), e32. doi:10.​2196/​jmir.​2283.PubMedPubMedCentralCrossRef
72.
go back to reference Chen, Z., Koh, P. W., Ritter, P. L., Lorig, K., Bantum, E. O. C., & Saria, S. (2015). Dissecting an online intervention for cancer survivors: four exploratory analyses of internet engagement and its effects on health status and health behaviors. Health Educ Behav, 42(1), 32–45. doi:10.1177/1090198114550822.PubMedCrossRef Chen, Z., Koh, P. W., Ritter, P. L., Lorig, K., Bantum, E. O. C., & Saria, S. (2015). Dissecting an online intervention for cancer survivors: four exploratory analyses of internet engagement and its effects on health status and health behaviors. Health Educ Behav, 42(1), 32–45. doi:10.​1177/​1090198114550822​.PubMedCrossRef
74.
go back to reference Crutzen, R., Cyr, D., & de Vries, N. K. (2012). The role of user control in adherence to and knowledge gained from a website: randomized comparison between a tunneled version and a freedom-of-choice version. Journal of Medical Internet Research, 14(2), e45. doi:10.2196/jmir.1922.PubMedPubMedCentralCrossRef Crutzen, R., Cyr, D., & de Vries, N. K. (2012). The role of user control in adherence to and knowledge gained from a website: randomized comparison between a tunneled version and a freedom-of-choice version. Journal of Medical Internet Research, 14(2), e45. doi:10.​2196/​jmir.​1922.PubMedPubMedCentralCrossRef
75.
go back to reference Cussler, E. C., Teixeira, P. J., Going, S. B., Houtkooper, L. B., Metcalfe, L. L., Blew, R. M., et al. (2008). Maintenance of weight loss in overweight middle-aged women through the internet. Obesity, 16(5), 1052–1060. doi:10.1038/oby.2008.19.PubMedCrossRef Cussler, E. C., Teixeira, P. J., Going, S. B., Houtkooper, L. B., Metcalfe, L. L., Blew, R. M., et al. (2008). Maintenance of weight loss in overweight middle-aged women through the internet. Obesity, 16(5), 1052–1060. doi:10.​1038/​oby.​2008.​19.PubMedCrossRef
76.
go back to reference Davies, C., Corry, K., Van Itallie, A., Vandelanotte, C., Caperchione, C., & Mummery, W. K. (2012). Prospective associations between intervention components and website engagement in a publicly available physical activity website: the case of 10,000 steps Australia. Journal of Medical Internet Research, 14(1), e4. doi:10.2196/jmir.1792.PubMedPubMedCentralCrossRef Davies, C., Corry, K., Van Itallie, A., Vandelanotte, C., Caperchione, C., & Mummery, W. K. (2012). Prospective associations between intervention components and website engagement in a publicly available physical activity website: the case of 10,000 steps Australia. Journal of Medical Internet Research, 14(1), e4. doi:10.​2196/​jmir.​1792.PubMedPubMedCentralCrossRef
77.
go back to reference Dennison, L., Morrison, L., Lloyd, S., Phillips, D., Stuart, B., Williams, S., et al. (2014). Does brief telephone support improve engagement with a web-based weight management intervention? Randomized controlled trial. Journal of Medical Internet Research, 16(3), e95. doi:10.2196/jmir.3199.PubMedPubMedCentralCrossRef Dennison, L., Morrison, L., Lloyd, S., Phillips, D., Stuart, B., Williams, S., et al. (2014). Does brief telephone support improve engagement with a web-based weight management intervention? Randomized controlled trial. Journal of Medical Internet Research, 16(3), e95. doi:10.​2196/​jmir.​3199.PubMedPubMedCentralCrossRef
78.
go back to reference Glasgow, R. E., Christiansen, S. M., Kurz, D., King, D. K., Woolley, T., Faber, A. J., et al. (2011). Engagement in a diabetes self-management website: usage patterns and generalizability of program use. Journal of Medical Internet Research, 13(1), e9. doi:10.2196/jmir.1391.PubMedPubMedCentralCrossRef Glasgow, R. E., Christiansen, S. M., Kurz, D., King, D. K., Woolley, T., Faber, A. J., et al. (2011). Engagement in a diabetes self-management website: usage patterns and generalizability of program use. Journal of Medical Internet Research, 13(1), e9. doi:10.​2196/​jmir.​1391.PubMedPubMedCentralCrossRef
79.
go back to reference Manwaring, J. L., Bryson, S. W., Goldschmidt, A. B., Winzelberg, A. J., Luce, K. H., Wilfley, D. E., & Taylor, C. B. (2008). Do adherence variables predict outcome in an online program for the prevention of eating disorders? J Consult Clin Psychol, 76(2), 341–346. doi:10.1037/0022-006X.76.2.341.PubMedCrossRef Manwaring, J. L., Bryson, S. W., Goldschmidt, A. B., Winzelberg, A. J., Luce, K. H., Wilfley, D. E., & Taylor, C. B. (2008). Do adherence variables predict outcome in an online program for the prevention of eating disorders? J Consult Clin Psychol, 76(2), 341–346. doi:10.​1037/​0022-006X.​76.​2.​341.PubMedCrossRef
81.
83.
go back to reference Cugelman, B., Thelwall, M., & Dawes, P. (2011). Online interventions for social marketing health behavior change campaigns: a meta-analysis of psychological architectures and adherence factors. Journal of Medical Internet Research, 13(1), e17. doi:10.2196/jmir.1367.PubMedPubMedCentralCrossRef Cugelman, B., Thelwall, M., & Dawes, P. (2011). Online interventions for social marketing health behavior change campaigns: a meta-analysis of psychological architectures and adherence factors. Journal of Medical Internet Research, 13(1), e17. doi:10.​2196/​jmir.​1367.PubMedPubMedCentralCrossRef
84.
go back to reference Henshaw, H., McCormack, A., & Ferguson, M. A. (2015). Intrinsic and extrinsic motivation is associated with computer-based auditory training uptake, engagement, and adherence for people with hearing loss. Front Psychol, 6, 1–13. doi:10.3389/fpsyg.2015.01067.CrossRef Henshaw, H., McCormack, A., & Ferguson, M. A. (2015). Intrinsic and extrinsic motivation is associated with computer-based auditory training uptake, engagement, and adherence for people with hearing loss. Front Psychol, 6, 1–13. doi:10.​3389/​fpsyg.​2015.​01067.CrossRef
86.
go back to reference McCabe, M. P., & Price, E. (2009). Attrition from an internet-based psychological intervention for erectile dysfunction: who is likely to drop out? Journal of Sex & Marital Therapy, 35(5), 391–401. doi:10.1080/00926230903065963.CrossRef McCabe, M. P., & Price, E. (2009). Attrition from an internet-based psychological intervention for erectile dysfunction: who is likely to drop out? Journal of Sex & Marital Therapy, 35(5), 391–401. doi:10.​1080/​0092623090306596​3.CrossRef
89.
go back to reference Sainsbury, K., Mullan, B., & Sharpe, L. (2015). Dissemination of an online theory-based intervention to improve gluten-free diet adherence in coeliac disease: the relationship between acceptability, effectiveness, and attrition. International Journal of Behavioral Medicine, 22, 356–364. doi:10.1007/s12529-014-9416-4.PubMedCrossRef Sainsbury, K., Mullan, B., & Sharpe, L. (2015). Dissemination of an online theory-based intervention to improve gluten-free diet adherence in coeliac disease: the relationship between acceptability, effectiveness, and attrition. International Journal of Behavioral Medicine, 22, 356–364. doi:10.​1007/​s12529-014-9416-4.PubMedCrossRef
90.
go back to reference VanDeMark, N. R., Burrell, N. R., Lamendola, W. F., Hoich, C. A., Berg, N. P., & Medina, E. (2010). An exploratory study of engagement in a technology-supported substance abuse intervention. Substance Abuse Treatment, Prevention, and Policy, 5(10), 1–14. VanDeMark, N. R., Burrell, N. R., Lamendola, W. F., Hoich, C. A., Berg, N. P., & Medina, E. (2010). An exploratory study of engagement in a technology-supported substance abuse intervention. Substance Abuse Treatment, Prevention, and Policy, 5(10), 1–14.
91.
go back to reference Al-Asadi, A. M., Klein, B., & Meyer, D. (2014). Pretreatment attrition and formal withdrawal during treatment and their predictors: an exploratory study of the anxiety online data. Journal of Medical Internet Research, 16(6), e152. doi:10.2196/jmir.2989.PubMedPubMedCentralCrossRef Al-Asadi, A. M., Klein, B., & Meyer, D. (2014). Pretreatment attrition and formal withdrawal during treatment and their predictors: an exploratory study of the anxiety online data. Journal of Medical Internet Research, 16(6), e152. doi:10.​2196/​jmir.​2989.PubMedPubMedCentralCrossRef
92.
go back to reference Habibović, M., Cuijpers, P., Alings, M., van der Voort, P., Theuns, D., Bouwels, L., et al. (2014). Attrition and adherence in a WEB-based distress management program for implantable cardioverter defibrillator patients (WEBCARE): randomized controlled trial. Journal of Medical Internet Research, 16(2), e52. doi:10.2196/jmir.2809.PubMedPubMedCentralCrossRef Habibović, M., Cuijpers, P., Alings, M., van der Voort, P., Theuns, D., Bouwels, L., et al. (2014). Attrition and adherence in a WEB-based distress management program for implantable cardioverter defibrillator patients (WEBCARE): randomized controlled trial. Journal of Medical Internet Research, 16(2), e52. doi:10.​2196/​jmir.​2809.PubMedPubMedCentralCrossRef
94.
95.
go back to reference Nicholas, J., Proudfoot, J., Parker, G., Gillis, I., Burckhardt, R., Manicavasagar, V., & Smith, M. (2010). The ins and outs of an online bipolar education program: a study of program attrition. Journal of Medical Internet Research, 12(5), e57. doi:10.2196/jmir.1450.PubMedPubMedCentralCrossRef Nicholas, J., Proudfoot, J., Parker, G., Gillis, I., Burckhardt, R., Manicavasagar, V., & Smith, M. (2010). The ins and outs of an online bipolar education program: a study of program attrition. Journal of Medical Internet Research, 12(5), e57. doi:10.​2196/​jmir.​1450.PubMedPubMedCentralCrossRef
96.
97.
go back to reference Oinas-Kukkonen, H., & Harjumaa, M. (2009). Persuasive systems design: key issues, process model, and system features. Commun Assoc Inf Syst, 24(28), 486–501. Oinas-Kukkonen, H., & Harjumaa, M. (2009). Persuasive systems design: key issues, process model, and system features. Commun Assoc Inf Syst, 24(28), 486–501.
98.
go back to reference Hong, J.-C., Chiu, P.-Y., Shih, H.-F., & Lin, P.-S. (2012). Computer self-efficacy, competitive anxiety and flow state: escaping from firing online game. The Turkish Online Journal of Educational Technology, 11(3), 70–76. Hong, J.-C., Chiu, P.-Y., Shih, H.-F., & Lin, P.-S. (2012). Computer self-efficacy, competitive anxiety and flow state: escaping from firing online game. The Turkish Online Journal of Educational Technology, 11(3), 70–76.
101.
go back to reference Haines-Saah, R. J., Kelly, M. T., Oliffe, J. L., & Bottorff, J. L. (2015). Picture Me Smokefree: a qualitative study using social media and digital photography to engage young adults in tobacco reduction and cessation. Journal of Medical Internet Research, 17(1), e27. doi:10.2196/jmir.4061.PubMedPubMedCentralCrossRef Haines-Saah, R. J., Kelly, M. T., Oliffe, J. L., & Bottorff, J. L. (2015). Picture Me Smokefree: a qualitative study using social media and digital photography to engage young adults in tobacco reduction and cessation. Journal of Medical Internet Research, 17(1), e27. doi:10.​2196/​jmir.​4061.PubMedPubMedCentralCrossRef
102.
go back to reference Kim, Y. H., Kim, D. J., & Wachter, K. (2013). A study of mobile user engagement (MoEN): engagement motivations, perceived value, satisfaction, and continued engagement intention. Decis Support Syst, 56, 361–370. doi:10.1016/j.dss.2013.07.002.CrossRef Kim, Y. H., Kim, D. J., & Wachter, K. (2013). A study of mobile user engagement (MoEN): engagement motivations, perceived value, satisfaction, and continued engagement intention. Decis Support Syst, 56, 361–370. doi:10.​1016/​j.​dss.​2013.​07.​002.CrossRef
103.
105.
106.
go back to reference Funk, K. L., Stevens, V. J., Appel, L. J., Bauck, A., Brantley, P. J., Champagne, C. M., et al. (2010). Associations of internet website use with weight change in a long-term weight loss maintenance program. Journal of Medical Internet Research, 12(3), e29. doi:10.2196/jmir.1504.PubMedPubMedCentralCrossRef Funk, K. L., Stevens, V. J., Appel, L. J., Bauck, A., Brantley, P. J., Champagne, C. M., et al. (2010). Associations of internet website use with weight change in a long-term weight loss maintenance program. Journal of Medical Internet Research, 12(3), e29. doi:10.​2196/​jmir.​1504.PubMedPubMedCentralCrossRef
107.
go back to reference Graham, A. L., Cha, S., Cobb, N. K., Fang, Y., Niaura, R. S., & Mushro, A. (2013). Impact of seasonality on recruitment, retention, adherence, and outcomes in a web-based smoking cessation intervention: randomized controlled trial. Journal of Medical Internet Research, 15(11), e249. doi:10.2196/jmir.2880.PubMedPubMedCentralCrossRef Graham, A. L., Cha, S., Cobb, N. K., Fang, Y., Niaura, R. S., & Mushro, A. (2013). Impact of seasonality on recruitment, retention, adherence, and outcomes in a web-based smoking cessation intervention: randomized controlled trial. Journal of Medical Internet Research, 15(11), e249. doi:10.​2196/​jmir.​2880.PubMedPubMedCentralCrossRef
108.
go back to reference Peels, D. A., Bolman, C., Golsteijn, R. H. J., De Vries, H., Mudde, A. N., van Stralen, M. M., & Lechner, L. (2012). Differences in reach and attrition between web-based and print-delivered tailored interventions among adults over 50 years of age: clustered randomized trial. Journal of Medical Internet Research, 14(6), e179. doi:10.2196/jmir.2229.PubMedPubMedCentralCrossRef Peels, D. A., Bolman, C., Golsteijn, R. H. J., De Vries, H., Mudde, A. N., van Stralen, M. M., & Lechner, L. (2012). Differences in reach and attrition between web-based and print-delivered tailored interventions among adults over 50 years of age: clustered randomized trial. Journal of Medical Internet Research, 14(6), e179. doi:10.​2196/​jmir.​2229.PubMedPubMedCentralCrossRef
109.
go back to reference Steinberg, D. M., Levine, E. L., Lane, I., Askew, S., Foley, P. B., Puleo, E., & Bennett, G. G. (2014). Adherence to self-monitoring via interactive voice response technology in an eHealth intervention targeting weight gain prevention among black women: randomized controlled trial. Journal of Medical Internet Research, 16(4), e114. doi:10.2196/jmir.2996.PubMedPubMedCentralCrossRef Steinberg, D. M., Levine, E. L., Lane, I., Askew, S., Foley, P. B., Puleo, E., & Bennett, G. G. (2014). Adherence to self-monitoring via interactive voice response technology in an eHealth intervention targeting weight gain prevention among black women: randomized controlled trial. Journal of Medical Internet Research, 16(4), e114. doi:10.​2196/​jmir.​2996.PubMedPubMedCentralCrossRef
110.
go back to reference Strecher, V. J., McClure, J., Alexander, G., Chakraborty, B., Nair, V., Konkel, J., et al. (2008). The role of engagement in a tailored web-based smoking cessation program: randomized controlled trial. Journal of Medical Internet Research, 10(5), e36. doi:10.2196/jmir.1002.PubMedPubMedCentralCrossRef Strecher, V. J., McClure, J., Alexander, G., Chakraborty, B., Nair, V., Konkel, J., et al. (2008). The role of engagement in a tailored web-based smoking cessation program: randomized controlled trial. Journal of Medical Internet Research, 10(5), e36. doi:10.​2196/​jmir.​1002.PubMedPubMedCentralCrossRef
111.
go back to reference Wanner, M., Martin-Diener, E., Bauer, G., Braun-Fahrländer, C., & Martin, B. W. (2010). Comparison of trial participants and open access users of a web-based physical activity intervention regarding adherence, attrition, and repeated participation. Journal of Medical Internet Research, 12(1), e3. doi:10.2196/jmir.1361.PubMedPubMedCentralCrossRef Wanner, M., Martin-Diener, E., Bauer, G., Braun-Fahrländer, C., & Martin, B. W. (2010). Comparison of trial participants and open access users of a web-based physical activity intervention regarding adherence, attrition, and repeated participation. Journal of Medical Internet Research, 12(1), e3. doi:10.​2196/​jmir.​1361.PubMedPubMedCentralCrossRef
112.
go back to reference Jahangiry, L., Shojaeizadeh, D., Montazeri, A., & Najafi, M. (2014). Adherence and attrition in a web-based lifestyle intervention for people with metabolic syndrome. Iranian Journal of Public Health, 43(9), 1248–1258.PubMedPubMedCentral Jahangiry, L., Shojaeizadeh, D., Montazeri, A., & Najafi, M. (2014). Adherence and attrition in a web-based lifestyle intervention for people with metabolic syndrome. Iranian Journal of Public Health, 43(9), 1248–1258.PubMedPubMedCentral
113.
go back to reference Kuijpers, W., Groen, W. G., Aaronson, N. K., & van Harten, W. H. (2013). A systematic review of web-based interventions for patient empowerment and physical activity in chronic diseases: relevance for cancer survivors. Journal of Medical Internet Research, 15(2), e37. doi:10.2196/jmir.2281.PubMedPubMedCentralCrossRef Kuijpers, W., Groen, W. G., Aaronson, N. K., & van Harten, W. H. (2013). A systematic review of web-based interventions for patient empowerment and physical activity in chronic diseases: relevance for cancer survivors. Journal of Medical Internet Research, 15(2), e37. doi:10.​2196/​jmir.​2281.PubMedPubMedCentralCrossRef
114.
go back to reference Mahmassani, H. S., Chen, R. B., Huang, Y., Williams, D., & Contractor, N. (2010). Time to play? Activity engagement in multiplayer online role-playing games. Transportation Research Record: Journal of the Transportation Research Board, 2157, 129–137. doi:10.3141/2157-16.CrossRef Mahmassani, H. S., Chen, R. B., Huang, Y., Williams, D., & Contractor, N. (2010). Time to play? Activity engagement in multiplayer online role-playing games. Transportation Research Record: Journal of the Transportation Research Board, 2157, 129–137. doi:10.​3141/​2157-16.CrossRef
115.
go back to reference Ferguson, M. A., & Henshaw, H. (2015). Computer and internet interventions to optimize listening and learning for people with hearing loss: accessibility, use, and adherence. Am J Audiol, 24, 338–343. doi:10.1044/2015.PubMedCrossRef Ferguson, M. A., & Henshaw, H. (2015). Computer and internet interventions to optimize listening and learning for people with hearing loss: accessibility, use, and adherence. Am J Audiol, 24, 338–343. doi:10.​1044/​2015.PubMedCrossRef
116.
go back to reference Weston A, Morrison L, Yardley L, Van Kleek M, Weal M. Measurements of engagement in mobile behavioural interventions? In Digital Health. 2015:1–8. Weston A, Morrison L, Yardley L, Van Kleek M, Weal M. Measurements of engagement in mobile behavioural interventions? In Digital Health. 2015:1–8.
117.
go back to reference Donovan, E., Mahapatra, P. D., Green, T. C., Chiauzzi, E., Mchugh, K., Hemm, A., et al. (2015). Efficacy of an online intervention to reduce alcohol-related risks among community college students. Addiction Research & Theory, 23(5), 437–447. doi:10.3109/16066359.2015.1043625.CrossRef Donovan, E., Mahapatra, P. D., Green, T. C., Chiauzzi, E., Mchugh, K., Hemm, A., et al. (2015). Efficacy of an online intervention to reduce alcohol-related risks among community college students. Addiction Research & Theory, 23(5), 437–447. doi:10.​3109/​16066359.​2015.​1043625.CrossRef
118.
go back to reference Khadjesari, Z., Murray, E., Kalaitzaki, E., White, I. R., McCambridge, J., Thompson, S. G., et al. (2011). Impact and costs of incentives to reduce attrition in online trials: two randomized controlled trials. Journal of Medical Internet Research, 13(1), e26. doi:10.2196/jmir.1523.PubMedPubMedCentralCrossRef Khadjesari, Z., Murray, E., Kalaitzaki, E., White, I. R., McCambridge, J., Thompson, S. G., et al. (2011). Impact and costs of incentives to reduce attrition in online trials: two randomized controlled trials. Journal of Medical Internet Research, 13(1), e26. doi:10.​2196/​jmir.​1523.PubMedPubMedCentralCrossRef
119.
go back to reference An, L. C., Perry, C. L., Lein, E. B., Klatt, C., Farley, D. M., Bliss, R. L., et al. (2006). Strategies for increasing adherence to an online smoking cessation intervention for college students. Nicotine & Tobacco Research, 8(December), S7–S12. doi:10.1080/14622200601039881.CrossRef An, L. C., Perry, C. L., Lein, E. B., Klatt, C., Farley, D. M., Bliss, R. L., et al. (2006). Strategies for increasing adherence to an online smoking cessation intervention for college students. Nicotine & Tobacco Research, 8(December), S7–S12. doi:10.​1080/​1462220060103988​1.CrossRef
120.
go back to reference Brouwer, W., Kroeze, W., Crutzen, R., de Nooijer, J., de Vries, N. K., Brug, J., & Oenema, A. (2011). Which intervention characteristics are related to more exposure to internet-delivered healthy lifestyle promotion interventions? A systematic review. Journal of Medical Internet Research, 13(1), e2. doi:10.2196/jmir.1639.PubMedPubMedCentralCrossRef Brouwer, W., Kroeze, W., Crutzen, R., de Nooijer, J., de Vries, N. K., Brug, J., & Oenema, A. (2011). Which intervention characteristics are related to more exposure to internet-delivered healthy lifestyle promotion interventions? A systematic review. Journal of Medical Internet Research, 13(1), e2. doi:10.​2196/​jmir.​1639.PubMedPubMedCentralCrossRef
122.
go back to reference Morris, R. R., Schueller, S. M., & Picard, R. W. (2015). Efficacy of a web-based, crowdsourced peer-to-peer cognitive reappraisal platform for depression: randomized controlled trial. Journal of Medical Internet Research, 17(3), e72. doi:10.2196/jmir.4167.PubMedPubMedCentralCrossRef Morris, R. R., Schueller, S. M., & Picard, R. W. (2015). Efficacy of a web-based, crowdsourced peer-to-peer cognitive reappraisal platform for depression: randomized controlled trial. Journal of Medical Internet Research, 17(3), e72. doi:10.​2196/​jmir.​4167.PubMedPubMedCentralCrossRef
125.
go back to reference Miller, A. S., Cafazzo, J. A., & Seto, E. (2014). A game plan: gamification design principles in mHealth applications for chronic disease management. Health Informatics Journal, 1–10. doi:10.1177/1460458214537511. Miller, A. S., Cafazzo, J. A., & Seto, E. (2014). A game plan: gamification design principles in mHealth applications for chronic disease management. Health Informatics Journal, 1–10. doi:10.​1177/​1460458214537511​.
127.
go back to reference Richardson, C. R., Buis, L. R., Janney, A. W., Goodrich, D. E., Sen, A., Hess, M. L., et al. (2010). An online community improves adherence in an internet-mediated walking program. Part 1: results of a randomized controlled trial. Journal of Medical Internet Research, 12(4), e71. doi:10.2196/jmir.1338.PubMedPubMedCentralCrossRef Richardson, C. R., Buis, L. R., Janney, A. W., Goodrich, D. E., Sen, A., Hess, M. L., et al. (2010). An online community improves adherence in an internet-mediated walking program. Part 1: results of a randomized controlled trial. Journal of Medical Internet Research, 12(4), e71. doi:10.​2196/​jmir.​1338.PubMedPubMedCentralCrossRef
129.
131.
go back to reference Kok, G., Bockting, C., Burger, H., Smit, F., & Riper, H. (2014). Mobile cognitive therapy: adherence and acceptability of an online intervention in remitted recurrently depressed patients. Internet Interventions, 1, 65–73. doi:10.1016/j.invent.2014.05.002.CrossRef Kok, G., Bockting, C., Burger, H., Smit, F., & Riper, H. (2014). Mobile cognitive therapy: adherence and acceptability of an online intervention in remitted recurrently depressed patients. Internet Interventions, 1, 65–73. doi:10.​1016/​j.​invent.​2014.​05.​002.CrossRef
132.
go back to reference van den Berg, M. H., Ronday, H. K., Peeters, A. J., Voogt-van der Harst, E. M., Munneke, M., Breedveld, F. C., & Vliet Vlieland, T. P. M. (2007). Engagement and satisfaction with an internet-based physical activity intervention in patients with rheumatoid arthritis. Rheumatology, 46(3), 545–552. doi:10.1093/rheumatology/kel341.PubMedCrossRef van den Berg, M. H., Ronday, H. K., Peeters, A. J., Voogt-van der Harst, E. M., Munneke, M., Breedveld, F. C., & Vliet Vlieland, T. P. M. (2007). Engagement and satisfaction with an internet-based physical activity intervention in patients with rheumatoid arthritis. Rheumatology, 46(3), 545–552. doi:10.​1093/​rheumatology/​kel341.PubMedCrossRef
134.
136.
go back to reference McCambridge, J., Kalaitzaki, E., White, I. R., Khadjesari, Z., Murray, E., Linke, S., et al. (2011). Impact of length or relevance of questionnaires on attrition in online trials: randomized controlled trial. Journal of Medical Internet Research, 13(4), e96. doi:10.2196/jmir.1733.PubMedPubMedCentralCrossRef McCambridge, J., Kalaitzaki, E., White, I. R., Khadjesari, Z., Murray, E., Linke, S., et al. (2011). Impact of length or relevance of questionnaires on attrition in online trials: randomized controlled trial. Journal of Medical Internet Research, 13(4), e96. doi:10.​2196/​jmir.​1733.PubMedPubMedCentralCrossRef
137.
go back to reference Helander, E., Kaipainen, K., Korhonen, I., & Wansink, B. (2014). Factors related to sustained use of a free mobile app for dietary self-monitoring with photography and peer feedback: retrospective cohort study. Journal of Medical Internet Research, 16(4), e109. doi:10.2196/jmir.3084.PubMedPubMedCentralCrossRef Helander, E., Kaipainen, K., Korhonen, I., & Wansink, B. (2014). Factors related to sustained use of a free mobile app for dietary self-monitoring with photography and peer feedback: retrospective cohort study. Journal of Medical Internet Research, 16(4), e109. doi:10.​2196/​jmir.​3084.PubMedPubMedCentralCrossRef
138.
go back to reference Whiteside, U., Lungu, A., Richards, J., Simon, G. E., Clingan, S., Siler, J., et al. (2014). Designing messaging to engage patients in an online suicide prevention intervention: survey results from patients with current suicidal ideation. Journal of Medical Internet Research, 16(2), e42. doi:10.2196/jmir.3173.PubMedPubMedCentralCrossRef Whiteside, U., Lungu, A., Richards, J., Simon, G. E., Clingan, S., Siler, J., et al. (2014). Designing messaging to engage patients in an online suicide prevention intervention: survey results from patients with current suicidal ideation. Journal of Medical Internet Research, 16(2), e42. doi:10.​2196/​jmir.​3173.PubMedPubMedCentralCrossRef
139.
go back to reference Jennings, M. (2000). Theory and models for creating engaging and immersive e-commerce websites. In Proceedings of the 2000 ACM SIGCPR Conference on Computer Personnel Research (pp. 77–85). New York: ACM.CrossRef Jennings, M. (2000). Theory and models for creating engaging and immersive e-commerce websites. In Proceedings of the 2000 ACM SIGCPR Conference on Computer Personnel Research (pp. 77–85). New York: ACM.CrossRef
141.
go back to reference Hwang, M.-Y., Hong, J.-C., Hao, Y.-W., & Jong, J.-T. (2011). Elders’ usability, dependability, and flow experiences on embodied interactive video games. Educ Gerontol, 37(8), 715–731. doi:10.1080/03601271003723636.CrossRef Hwang, M.-Y., Hong, J.-C., Hao, Y.-W., & Jong, J.-T. (2011). Elders’ usability, dependability, and flow experiences on embodied interactive video games. Educ Gerontol, 37(8), 715–731. doi:10.​1080/​0360127100372363​6.CrossRef
142.
go back to reference Chapman P, Selvarajah S, Webster J. Engagement in multimedia training systems. In Proceedings of the 32nd Hawaii International Conference on System Sciences 1999; 0: 1–9. Washington, DC: IEEE. doi:10.1109/HICSS.1999.772808. Chapman P, Selvarajah S, Webster J. Engagement in multimedia training systems. In Proceedings of the 32nd Hawaii International Conference on System Sciences 1999; 0: 1–9. Washington, DC: IEEE. doi:10.​1109/​HICSS.​1999.​772808.
144.
go back to reference Miller, A. S., Cafazzo, J. A., & Seto, E. (2014). A game plan: gamification design principles in mHealth applications for chronic disease management. Health Informatics Journal. doi:10.1177/1460458214537511.PubMed Miller, A. S., Cafazzo, J. A., & Seto, E. (2014). A game plan: gamification design principles in mHealth applications for chronic disease management. Health Informatics Journal. doi:10.​1177/​1460458214537511​.PubMed
145.
go back to reference Lieberman, D. Z. (2006). Effects of a personified guide on adherence to an online program for alcohol abusers. Cyberpsychology & Behavior, 9(5), 603–607.CrossRef Lieberman, D. Z. (2006). Effects of a personified guide on adherence to an online program for alcohol abusers. Cyberpsychology & Behavior, 9(5), 603–607.CrossRef
146.
go back to reference Bellg, A. J., Borrelli, B., Resnick, B., Hecht, J., Minicucci, D. S., Ory, M., et al. (2004). Enhancing treatment fidelity in health behavior change studies: best practices and recommendations from the NIH Behavior Change Consortium. Health Psychol, 23(5), 443–451. doi:10.1037/0278-6133.23.5.443.PubMedCrossRef Bellg, A. J., Borrelli, B., Resnick, B., Hecht, J., Minicucci, D. S., Ory, M., et al. (2004). Enhancing treatment fidelity in health behavior change studies: best practices and recommendations from the NIH Behavior Change Consortium. Health Psychol, 23(5), 443–451. doi:10.​1037/​0278-6133.​23.​5.​443.PubMedCrossRef
149.
go back to reference Chinn, P. L., & Kramer, M. K. (1991). Theory and nursing: a systematic approach. St. Louis: Mosby-Year Book. Chinn, P. L., & Kramer, M. K. (1991). Theory and nursing: a systematic approach. St. Louis: Mosby-Year Book.
150.
go back to reference Fiannaca A, La Rosa M, Rizzo R, Urso A, Gaglio S. An ontology design methodology for Knowledge-Based systems with application to bioinformatics. In Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2012 I.E. Symposium. 2012:85–91. Fiannaca A, La Rosa M, Rizzo R, Urso A, Gaglio S. An ontology design methodology for Knowledge-Based systems with application to bioinformatics. In Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2012 I.E. Symposium. 2012:85–91.
151.
go back to reference Weber, R. (2012). Evaluating and developing theories in the information systems discipline. J Assoc Inf Syst, 13(1), 1–30. Weber, R. (2012). Evaluating and developing theories in the information systems discipline. J Assoc Inf Syst, 13(1), 1–30.
152.
go back to reference O’Brien, H. L., & Toms, E. G. (2010). The development and evaluation of a survey to measure user engagement. Journal of the American Society for Information Science & Technology, 61(1), 50–69. doi:10.1002/asi.21229.CrossRef O’Brien, H. L., & Toms, E. G. (2010). The development and evaluation of a survey to measure user engagement. Journal of the American Society for Information Science & Technology, 61(1), 50–69. doi:10.​1002/​asi.​21229.CrossRef
153.
go back to reference Stone, A. A., & Shiffman, S. (1994). Ecological momentary assessment (EMA) in behavorial medicine. Ann Behav Med, 16(3), 199–202. Stone, A. A., & Shiffman, S. (1994). Ecological momentary assessment (EMA) in behavorial medicine. Ann Behav Med, 16(3), 199–202.
154.
go back to reference Haukkala, A., Uutela, A., Vartiainen, E., Mcalister, A., & Knekt, P. (2000). Depression and smoking cessation: the role of motivation and self-efficacy. Addict Behav, 25. doi:10.1016/S0306-4603(98)00125-7. Haukkala, A., Uutela, A., Vartiainen, E., Mcalister, A., & Knekt, P. (2000). Depression and smoking cessation: the role of motivation and self-efficacy. Addict Behav, 25. doi:10.​1016/​S0306-4603(98)00125-7.
155.
go back to reference Linde, J. A., Jeffery, R. W., Levy, R. L., Sherwood, N. E., Utter, J., Pronk, N. P., & Boyle, R. G. (2004). Binge eating disorder, weight control self-efficacy, and depression in overweight men and women. Int J Obes, 28(3), 418–425. doi:10.1038/sj.ijo.0802570.CrossRef Linde, J. A., Jeffery, R. W., Levy, R. L., Sherwood, N. E., Utter, J., Pronk, N. P., & Boyle, R. G. (2004). Binge eating disorder, weight control self-efficacy, and depression in overweight men and women. Int J Obes, 28(3), 418–425. doi:10.​1038/​sj.​ijo.​0802570.CrossRef
Metadata
Title
Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis
Authors
Olga Perski
Ann Blandford
Robert West
Susan Michie
Publication date
01-06-2017
Publisher
Springer US
Published in
Translational Behavioral Medicine / Issue 2/2017
Print ISSN: 1869-6716
Electronic ISSN: 1613-9860
DOI
https://doi.org/10.1007/s13142-016-0453-1

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