Technology and adherence in web-based interventions for weight control: a systematic review

While technology based health interventions can be effective, high attrition rates are commonly observed in research and practice and are a major issue in eHealth. Research on adherence has recently gained some scientific attention, but little has been done as to how technology itself engages users. It seems plausible that technology plays a role in persuading people to use an eHealth intervention and keep on using it. The present study seeks to apply the PSD-model with regard to this major issue in eHealth. A comprehensive literature search was conducted using the databases Web of Knowledge, EBSCOHOST, Picarta, Scopus and ScienceDirect. The following characteristics were coded: Health care domain, Study level, Sample size, Intended usage, Usage web-based intervention, Adherence, Predictors of adherence, Intervention, Interaction, Persuasive technology in the intervention. The search yielded 4939 unique titles, of which 460 articles were deemed relevant. After title, abstract and full text screening by two researchers, 109 articles were included. Concluding, we can say that it seems that when designing web-based interventions, most attention is given to support the primary task. Dialogue support and social support appear neglected. Taking into account that more extensive use of persuasive technology seems to be positively related to adherence, more attention should be paid to all forms of support through technology.

[1]  D. Tate,et al.  A randomized comparison of two motivationally enhanced Internet behavioral weight loss programs. , 2008, Behaviour research and therapy.

[2]  S. Michie,et al.  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 , 2010, Journal of medical Internet research.

[3]  Alan Bauck,et al.  Comparison of strategies for sustaining weight loss: the weight loss maintenance randomized controlled trial. , 2008, JAMA.

[4]  Harri Oinas-Kukkonen,et al.  Persuasive Systems Design: Key Issues, Process Model, and System Features , 2009, Commun. Assoc. Inf. Syst..

[5]  E. Seydel,et al.  Evaluation of Internet-Based Technology for Supporting Self-Care: Problems Encountered by Patients and Caregivers When Using Self-Care Applications , 2008, Journal of medical Internet research.

[6]  Robert Hurling,et al.  Rates and Determinants of Uptake and Use of an Internet Physical Activity and Weight Management Program in Office and Manufacturing Work Sites in England: Cohort Study , 2008, Journal of medical Internet research.

[7]  H. Christensen,et al.  Adherence in Internet Interventions for Anxiety and Depression: Systematic Review , 2009, Journal of medical Internet research.

[8]  J. Scott,et al.  The Mediterranean Eating in Scotland Experience project: evaluation of an Internet-based intervention promoting the Mediterranean diet , 2005, British Journal of Nutrition.

[9]  B. J. Fogg,et al.  Persuasive technology: using computers to change what we think and do , 2002, UBIQ.

[10]  Nicol Nijland,et al.  Grounding eHealth : towards a holistic framework for sustainable eHealth technologies , 2011 .

[11]  R. Winett,et al.  Using Internet technology to deliver a behavioral weight loss program. , 2001, JAMA.

[12]  Christine M Hunter,et al.  Weight management using the internet a randomized controlled trial. , 2008, American journal of preventive medicine.

[13]  C. Champagne,et al.  Design and Implementation of an Interactive Website to Support Long-Term Maintenance of Weight Loss , 2008, Journal of medical Internet research.

[14]  G. Eysenbach The Law of Attrition , 2005, Journal of medical Internet research.

[15]  J. Scott,et al.  Follow-up of a web-based tailored intervention promoting the Mediterranean diet in Scotland. , 2008, Patient education and counseling.

[16]  Jean Harvey-Berino,et al.  Minimal in-person support as an adjunct to internet obesity treatment , 2007, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[17]  Gary L. Kreps,et al.  New directions in eHealth communication: opportunities and challenges. , 2010, Patient education and counseling.

[18]  Jean Harvey-Berino,et al.  Internet-based weight control: the relationship between web features and weight loss. , 2008, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[19]  J. Scott,et al.  Process evaluation of an innovative healthy eating website promoting the Mediterranean diet. , 2005, Health education research.

[20]  D. Tate,et al.  Perinatal mortality and congenital anomalies in babies of women with type 1 or type 2 diabetes in England, Wales, and Northern Ireland: population based study , 2006, BMJ : British Medical Journal.

[21]  J. S. Sodhi,et al.  Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial , 2007, Journal of medical Internet research.

[22]  B. J. Fogg,et al.  The elements of computer credibility , 1999, CHI '99.

[23]  Reinier Akkermans,et al.  Web-Based Targeted Nutrition Counselling and Social Support for Patients at Increased Cardiovascular Risk in General Practice: Randomized Controlled Trial , 2004, Journal of medical Internet research.