706
Views
16
CrossRef citations to date
0
Altmetric
Reviews

Persuasive system features in computer-mediated lifestyle modification interventions for physical activity

ORCID Icon, &

References

  • Pandita A, Sharma D, Pandita D, Pawar S, Tariq M, Kaul A. Childhood obesity: prevention is better than cure. Diabetes, Metab Syndr Obesity: Targets Ther. 2016;9:83–89. doi:10.2147/DMSO.S90783.
  • Hanusaik N, Contandriopoulos D, Kishchuk N, Maximova K, Paradis G, O’Loughlin JL. Chronicling changes to the chronic disease prevention landscape in Canada’s public health system 2004-2010. Public Health. 2014;128(8):716–24. doi:10.1016/j.puhe.2014.05.016.
  • Khalil A, Abdallah S. Harnessing social dynamics through persuasive technology to promote healthier lifestyle. Comput Human Behav. 2013;29(6):2674–81. doi:10.1016/j.chb.2013.07.008.
  • Oinas-Kukkonen H, Harjumaa M, editors. A systematic framework for designing and evaluating persuasive systems. Berlin, Heidelberg: Springer; 2008.
  • Doupi P, Van Wijk MA, Van Wyk JT, Van Der Lei J, editors. Personalizing patient education using Internet health resources and EPR data: pilot evaluation of the STEPPS prototype system. Proceedings - IEEE Symposium on Computer-Based Medical Systems; 2008; Jyvaskyla, Finland.
  • Win KT, Hassan N, Bonney A, Iverson D. Benefits of online health education: perception from consumers and health professionals. J Med Syst. 2015;39(3):1–8. doi:10.1007/s10916-014-0182-2.
  • Gómez Manchón M, Gómez Carrasco JA, Ramírez Fernández J, Díez Fernández T. García de Frías E. Necesidades del niño escolarizado con diabetes mellitus. Visión de padres y profesores. Anales de Pediatría. 2009;70(1):45–52. doi:10.1016/j.anpedi.2008.07.004.
  • Doupi P, van der Lei J. Design and implementation considerations for a personalized patient education system in burn care. Int J Med Inform. 2005;74(2–4):151–57. doi:10.1016/j.ijmedinf.2004.04.021.
  • Plougmann S, Hejlesen OK, Cavan DA. DiasNet–a diabetes advisory system for communication and education via the internet. Int J Med Inform. 2001;64:319–30.
  • Homer C, Susskind O, Alpert HR, Owusu MPM, Celestina SL, Rappaport LA, Rubin DH. An evaluation of an innovative multimedia educational software program for asthma management: report of a randomized, controlled trial. Pediatrics. 2000;106:210–15.
  • Hassan NM, Win KT, editors. Exploring design features (web environment) and perceived benefits (Incentives) of Online Patient Education (OPE) sites for chronic diseases. International Conference on Emerging Trends in Computer Science & Information Technology; 2013; Kuala Lumpur (Malaysia).
  • Fogg BJ. Persuasive technology: using computers to change what we think and do. 2003. San Francisco: Morgan Kaufmann; 2003.
  • Chatterjee S, Price A. Healthy living with persuasive technologies: framework, issues, and challenges. J Am Med Inform Assoc. 2009;16(2):171–78. doi:10.1197/jamia.M2859.
  • Kaptein M, Markopoulos P, de Ruyter B, Aarts E. Personalizing persuasive technologies: explicit and implicit personalization using persuasion profiles. Int J Hum Comput Stud. 2015;77:38–51. doi:10.1016/j.ijhcs.2015.01.004.
  • Daud NA, Sahari@Ashaari N, Muda Z. An initial model of persuasive design in web based learning environment. Procedia Technol. 2013;11:895–902. doi:10.1016/j.protcy.2013.12.273.
  • Looije R, Neerincx MA, Cnossen F. Persuasive robotic assistant for health self-management of older adults: design and evaluation of social behaviors. Int J Hum Comput Stud. 2010;68(6):386–97. doi:10.1016/j.ijhcs.2009.08.007.
  • Oinas-Kukkonen WKT, Chatterjee S, editors. Introduction to Health Behavior Change Support Systems (HBCSS) minitrack. 2016 49th Hawaii International Conference on System Sciences (HICSS); 2016 Jan 5-8.
  • Matthews J, Win KT, Oinas-Kukkonen H, Freeman M. Persuasive technology in mobile applications promoting physical activity: a systematic review. J Med Syst. 2016;40(3):1–13. doi:10.1007/s10916-015-0365-5.
  • Oinas-Kukkonen H, Harjumaa M. Persuasive systems design: key issues, process model, and system features. Communications Assoc Inf Syst. 2009;24:28.
  • Petty RE, Cacioppo JT. Source factors and the elaboration likelihood model of persuasion. Adv Consumer Res. 1984;11:668–72.
  • Walia N, Srite M, Huddleston W. Eyeing the web interface: the influence of price, product, and personal involvement. Electronic Commerce Research. 2016; 16(3): 297-333.
  • Lakey B, Cohen S. Social support measurement and intervention: a guide for health and social scientists. Cary (NC, USA): Oxford University Press, USA; 2000.
  • Morrison LG, Yardley L, Powell J, Michie S. What design features are used in effective e-health interventions? A review using techniques from Critical Interpretive Synthesis. Telemed J E Health. 2012;18(2):137–44. doi:10.1089/tmj.2011.0062.
  • Clayman ML, Boberg EW, Makoul G. The use of patient and provider perspectives to develop a patient-oriented website for women diagnosed with breast cancer. Patient Educ Couns. 2008;72(3):429–35. doi:10.1016/j.pec.2008.05.032.
  • Ferney SL, Marshall AL. Website physical activity interventions: preferences of potential users. Health Educ Res. 2006;21(4):560–66. doi:10.1093/her/cyl013.
  • DeGuzman MA, Ross MW. Assessing the application of HIV and AIDS related education and counselling on the Internet. Patient Educ Couns. 1999;36:209–28.
  • Gosselin P, Poitras P. Use of an internet “viral” marketing software platform in health promotion. J Med Internet Res. 2008;10(4):e47. doi:10.2196/jmir.1005.
  • Rezailashkajani M, Roshandel D, Ansari S, Zali MR. A web-based patient education system and self-help group in Persian language for inflammatory bowel disease patients. Int J Med Inform. 2008;77(2):122–28. doi:10.1016/j.ijmedinf.2006.12.001.
  • Yamout SZ, Glick ZA, Lind DS, Monson RA, Glick PL. Using social media to enhance surgeon and patient education and communication. Bull Am Coll Surg. 2011;96:7–15.
  • Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, Eccles MP, Cane J, Wood CE. 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. doi:10.1007/s12160-013-9486-6.
  • Chang SJ, Choi S, S-A K, Song M. Intervention strategies based on information-motivation-behavioral skills model for health behavior change: a systematic review. Asian Nurs Res (Korean Soc Nurs Sci). 2014;8(3):172–81. doi:10.1016/j.anr.2014.08.002.
  • Halliday TM, Savla J, Marinik EL, Hedrick VE, Winett RA, Davy BM. Resistance training is associated with spontaneous changes in aerobic physical activity but not overall diet quality in adults with prediabetes. Physiol Behav. 2017;177:49–56. doi:10.1016/j.physbeh.2017.04.013.
  • Stacey FG, James EL, Chapman K, Lubans DR. Social cognitive theory mediators of physical activity in a lifestyle program for cancer survivors and carers: findings from the ENRICH randomized controlled trial. Int J Behav Nutr Phys Activity. 2016;13:1. doi:10.1186/s12966-016-0372-z.
  • Zechner MR, Gill KJ. Predictors of physical activity in persons with mental illness: testing a social cognitive model. Psychiatr Rehabil J. 2016;39(4):321–27. doi:10.1037/prj0000191.
  • Jj P, Spring B, Cr N. Multiple health behavior change research: an introduction and overview. Prev Med. 2008;46(3):181–88. doi:10.1016/j.ypmed.2008.02.001.
  • Nyman SR, Adamczewska N, Howlett N. Systematic review of behaviour change techniques to promote participation in physical activity among people with dementia. Br J Health Psychol. 2018;23(1):148–70. doi:10.1111/bjhp.12279.
  • Lehto T, Oinas-Kukkonen H Persuasive features in six weight loss websites: a qualitative evaluation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2010. p.162–73.
  • Lehto T, Oinas-Kukkonen H. Explaining and predicting perceived effectiveness and use continuance intention of a behaviour change support system for weight loss. Behaviour Inf Technol. 2015;34(2):176–89. doi:10.1080/0144929X.2013.866162.
  • Ammann R, Vandelanotte C, de Vries H, Mummery W. Can a website-delivered computer-tailored physical activity intervention be acceptable, usable, and effective for older people? Health Educ Behav. 2013;40(2):160–70. doi:10.1177/1090198112461791.
  • Alley S, Jennings C, Plotnikoff RC, Vandelanotte C. My activity coach - using video-coaching to assist a web-based computer-tailored physical activity intervention: a randomised controlled trial protocol. Bmc Public Health. 2014;14 (1): art. no. 738. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904447705&doi=10.1186%2f1471-2458-14-738&partnerID=40&md5=6c0a38b22173e43456aa943f1682e35f
  • Spittaels H, De Bourdeaudhuij I, Brug J, Vandelanotte C. Effectiveness of an online computer-tailored physical activity intervention in a real-life setting. Health Educ Res. 2007;22(3):385–96. doi:10.1093/her/cyl096.
  • Dour CA, Horacek TM, Schembre SM, Lohse B, Hoerr S, Kattelmann K, White AA, Shoff S, Phillips B, Greene G. Process evaluation of project webhealth: a nondieting web-based intervention for obesity prevention in college students. J Nutr Educ Behav. 2013;45(4):288–95. doi:10.1016/j.jneb.2012.10.001.
  • Winett RA, Anderson ES, Wojcik JR, Winett SG, Bowden T. Guide to health: nutrition and physical activity outcomes of a group-randomized trial of an internet-based intervention in churches. Ann Behav Med. 2007;33(3):251–61. doi:10.1080/08836610701358045.
  • Ac K, Tw B, Mi C, LA P, Jl Y. Employing virtual advisors in preventive care for underserved communities: results from the COMPASS study. J Health Commun. 2013;18(12):1449–64. doi:10.1080/10810730.2013.798374.
  • Peels D, de Vries H, Bolman C, Golsteijn R, van Stralen M, Mudde A, Lechner L. Differences in the use and appreciation of a web-based or printed computer-tailored physical activity intervention for people aged over 50 years. Health Educ Res. 2013;28(4):715–31. doi:10.1093/her/cyt065.
  • Reinwand D, Kuhlmann T, Wienert J, de Vries H, Lippke S. Designing a theory- and evidence-based tailored eHealth rehabilitation aftercare program in Germany and the Netherlands: study protocol. Bmc Public Health. 2013;13(1): art. no. 1081
  • Win KT, editor Implementing patient accessible health information site for diabetes management. Pacific Asia Conference on Information Systems; 2010.
  • de Niet J, Timman R, Bauer S, van den Akker E, Buijks H, de Klerk C, Kordy H, Passchier J. The effect of a short message service maintenance treatment on body mass index and psychological well-being in overweight and obese children: a randomized controlled trial. Pediatr Obes. 2012;7(3):205–19. doi:10.1111/j.2047-6310.2012.00048.x.
  • Jones M, Lynch KT, Kass AE, Burrows A, Williams J, Wilfley DE, Taylor CB. Healthy weight regulation and eating disorder prevention in high school students: a universal and targeted web-based intervention. J Med Internet Res. 2014;16(2):28–39. doi:10.2196/jmir.2995.
  • Hearn L, Miller M, Fletcher A. Online healthy lifestyle support in the perinatal period: what do women want and do they use it? Aust J Prim Health. 2013;19(4):313–18. doi:10.1071/PY13039.
  • Reid RD, Morrin LI, Beaton LJ, Papadakis S, Kocourek J, McDonnell L, Slovinec D’Angelo ME, Tulloch H, Suskin N, Unsworth K, et al. Randomized trial of an internet-based computer-tailored expert system for physical activity in patients with heart disease. Eur J Prev Cardiol. 2012;19(6):1357–64. doi:10.1177/1741826711422988.
  • Volland D, Korak K, Kowatsch T, editors. A health information system that extends healthcare professional-patient communication. ECIS 2014 Proceedings - 22nd European Conference on Information Systems; 2014.
  • Creed C, Beale R. User interactions with an affective nutritional coach. Interact Comput. 2012;24(5):339–50. doi:10.1016/j.intcom.2012.05.004.
  • 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. doi:10.1016/j.pec.2008.08.023.
  • Oenema A, Brug J, Lechner L. Web-based tailored nutrition education: results of a randomized controlled trial. Health Educ Res. 2001;16:647–60.
  • Bental DS, Cawsey A, Jones R. Patient information systems that tailor to the individual. Patient Educ Couns. 1999;36:171–80.
  • Antypas K, Wangberg SC. An Internet- and mobile-based tailored intervention to enhance maintenance of physical activity after cardiac rehabilitation: short-term results of a randomized controlled trial. J Med Internet Res. 2014;16(3):78–95. doi:10.2196/jmir.3132.
  • Klausen SH, Mikkelsen UR, Hirth A, Wetterslev J, Kjaergaard H, Sondergaard L, Andersen LL. Design and rationale for the PREVAIL study: effect of e-Health individually tailored encouragements to physical exercise on aerobic fitness among adolescents with congenital heart disease-a randomized clinical trial. Am Heart J. 2012;163(4):549–56. doi:10.1016/j.ahj.2012.01.021.
  • Head KJ, Noar SM, Iannarino NT, Grant Harrington N. Efficacy of text messaging-based interventions for health promotion: a meta-analysis. Soc Sci Med. 2013;97:41–48. doi:10.1016/j.socscimed.2013.08.003.
  • Pop-Eleches C, Thirumurthy H, Habyarimana JP, Zivin JG, Goldstein MP, de Walque D, MacKeen L, Haberer J, Kimaiyo S, Sidle J, et al. Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS. 2011;25(6):825–34. doi:10.1097/QAD.0b013e32834380c1.
  • Greaney ML, Puleo E, Sprunck-Harrild K, Bennett GG, Cunningham MA, Gillman MW, Coeling M, Emmons KM. Electronic reminders for cancer prevention: factors associated with preference for automated voice reminders or text messages. Prev Med. 2012;55(2):151–54. doi:10.1016/j.ypmed.2012.05.014.
  • Hurling R, Catt M, De BM, Bw F, Hurst T, Murray P, Richardson A, Sodhi JS. Using Internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial. J Med Internet Res. 2007;9(2):1–12. doi:10.2196/jmir.9.2.e7.
  • Kelders SM, van Gemert-Pijnen JE, Werkman A, Seydel ER. Evaluation of a web-based lifestyle coach designed to maintain a healthy bodyweight. J Telemed Telecare. 2010;16(1):3–7. doi:10.1258/jtt.2009.001003.
  • Lau EY, Lau PWC, Chung PK, Ransdell LB, Archer E. Evaluation of an internet-short message service-based intervention for promoting physical activity in Hong Kong Chinese adolescent school children: a pilot study. Cyberpsychol Behav Soc Netw. 2012;15(8):425–34. doi:10.1089/cyber.2012.0161.
  • Mitchell BL, Lewis NR, Smith AE, Rowlands AV, Parfitt G, Dollman J. Rural Environments and Community Health (REACH): a randomised controlled trial protocol for an online walking intervention in rural adults. Bmc Public Health. 2014;14. doi:10.1186/1471-2458-14-969.
  • Vandelanotte C, Caperchione CM, Ellison M, George ES, Maeder A, Kolt GS, Duncan MJ, Karunanithi M, Noakes M, Hooker C, et al. What kinds of website and mobile phone-delivered physical activity and nutrition interventions do middle-aged men want? J Health Commun. 2013;18(9):1070–83. doi:10.1080/10810730.2013.768731.
  • Mitchell JA, Fun J, McCray AT. Design of genetics home reference: a new NLM consumer health resource. J Am Med Inform Assoc. 2004;11(6):439–47. doi:10.1197/jamia.M1549.
  • Abbatangelo-Gray J, Byrd-Bredbenner C, Austin SB. Health and nutrient content claims in food advertisements on hispanic and mainstream prime-time television. J Nutr Educ Behav. 2008;40(6):348–54. doi:10.1016/j.jneb.2008.01.003.
  • Boyer C, Selby M, Scherrer JR, Appel RD. The health on the net code of conduct for medical and health websites. Comput Biol Med. 1998;28:603–10.
  • Bennett JA, Winters-Stone K. Motivating older adults to exercise: what works? Age Ageing. 2011;40(2):148–49. doi:10.1093/ageing/afq182.
  • Ajzen I, Fishbein M. Understanding attitudes and predicting social behaviour. 1980. Englewood Cliffs, NJ: Prentice Hall.
  • Patrick K, Marshall SJ, Davila EP, Kolodziejczyk JK, Fowler JH, Calfas KJ, Huang JS, Rock CL, Griswold WG, Gupta A, et al. Design and implementation of a randomized controlled social and mobile weight loss trial for young adults (project SMART). Contemp Clin Trials. 2014;37(1):10–18. doi:10.1016/j.cct.2013.11.001.
  • Rothert K, Strecher VJ, Doyle LA, Caplan WM, Joyce JS, Jimison HB, Karm LM, Mims AD, Roth MA. Web-based weight management programs in an integrated health care setting: a randomized, controlled trial. Obesity. 2006;14(2):266–72. doi:10.1038/oby.2006.34.
  • Duncan M, Vandelanotte C, Kolt GS, Rosenkranz RR, Caperchione CM, George ES, Ding H, Hooker C, Karunanithi M, Maeder AJ, et al. Effectiveness of a web-and mobile phone-based intervention to promote physical activity and healthy eating in middle-aged males: randomized controlled trial of the ManUp study. J Med Internet Res. 2014;16:6. doi:10.2196/jmir.3107.
  • Ezendam N, Noordegraaf V, Kroeze W, Brug J, Oenema A. Process evaluation of FATaintPHAT, a computer-tailored intervention to prevent excessive weight gain among Dutch adolescents. Health Promot Internation. 2013;28(1):26–35. doi:10.1093/heapro/das021.
  • Kim H-Y, Park H-A, Min YH, Jeon E. Development of an obesity management ontology based on the nursing process for the mobile-device domain. J Med Internet Res. 2013;15(6):56–66. doi:10.2196/jmir.2512.
  • Funk KL, Stevens VJ, Bauck A, Brantley PJ, Hornbrook M, Jerome GJ, Myers, V.H., Appel, L. Development and implementation of a tailored self-assessment tool in an internet-based weight loss maintenance program. Clinical practice and epidemiology in mental health. 2011;7: 67–73. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859901229&doi=10.2174%2f1745017901107010067&partnerID=40&md5=23601750b19f45405ce4d99ee3033f4a DOI: 10.2174/1745017901107010067
  • De Cocker K, Spittaels H, Cardon G, De Bourdeaudhuij I, Vandelanotte C. Web-based, computer-tailored, pedometer-based physical activity advice: development, dissemination through general practice, acceptability, and preliminary efficacy in a randomized controlled trial. J Med Internet Res. 2012;14(2):115–27. doi:10.2196/jmir.1959.
  • Hansen AW, Gronbaek M, Helge JW, Severin M, Curtis T, Tolstrup JS. Effect of a web-based intervention to promote physical activity and improve health among physically inactive adults: a population-based randomized controlled trial. J Med Internet Res. 2012;14(5):116–29. doi:10.2196/jmir.2109.
  • Mutsuddi AU. The persuasive power of text messages for behavior change: encouraging young adults to increase physical activity. Dissertation Abstracts International: Section B: the Sciences and Engineering. 2012;73:2311.
  • Migneault JP, Dedier JJ, Wright JA, Heeren T, Campbell MK, Morisky DE, Rudd P, Friedman RH. A culturally adapted telecommunication system to improve physical activity, diet quality, and medication adherence among hypertensive African-Americans: a randomized controlled trial. Ann Behav Med. 2012;43(1):62–73. doi:10.1007/s12160-011-9319-4.
  • Morgan PJ, Callister R, Collins CE, Plotnikoff RC, Young MD, Berry N, McElduff P, Burrows T, Aguiar E, Saunders KL. The SHED-IT community trial: A randomized controlled trial of Internet- and paper-based weight loss programs tailored for overweight and obese men. Ann Behav Med. 2013;45(2):139–52. doi:10.1007/s12160-012-9424-z.
  • Patrick K, Calfas KJ, Norman GJ, Rosenberg D, Zabinski MF, Sallis JF, Rock CL, Dillon LW. Outcomes of a 12-month web-based intervention for overweight and obese men. Ann Behav Med. 2011;42(3):391–401. doi:10.1007/s12160-011-9296-7.
  • Schulz DN, Kremers SP, Vandelanotte C, van Adrichem MJ, Schneide F, Candel MJJM, De Vries, H., et al. Effects of a web-based tailored multiple-lifestyle intervention for adults: a two-year randomized controlled trial comparing sequential and simultaneous delivery modes. J Med Internet Res. 2014;16(1):48–65.
  • Steinberg DM, Levine EL, Askew S, Foley P, Bennett GG. Daily text messaging for weight control among racial and ethnic minority women: randomized controlled pilot study. J Med Internet Res. 2013;15(11):67–77. doi:10.2196/jmir.2844.
  • Mutsuddi AU, Connelly K, editors. Text messages for encouraging physical activity are they effective after the novelty effect wears off ? 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops; 2012 May 21-24.
  • Godino JG, Merchant G, Norman GJ, Donohue MC, Marshall SJ, Fowler JH, Calfas KJ, Huang JS, Rock CL, Griswold WG, et al. Using Social and Mobile Tools for Weight Loss in Overweight and Obese Young Adults (Project SMART): a 2-year parallel group randomized controlled trial. Lancet Diabetes Endocrinol. 2016;4(9):747–55. doi:10.1016/S2213-8587(16)30105-X.
  • Camerini L, Giacobazzi M, Boneschi M, Schulz PJ, Rubinelli S. Design and implementation of a web-based tailored gymnasium to enhance self-management of Fibromyalgia. User Model User-Adapt Interact. 2011;21(4–5):485–511. doi:10.1007/s11257-010-9088-y.
  • Cislak A, Safron M, Pratt M, Gaspar T, Luszczynska A. Family-related predictors of body weight and weight-related behaviours among children and adolescents: a systematic umbrella review. Child Care Health Dev. 2012;38(3):321–31. doi:10.1111/j.1365-2214.2011.01285.x.
  • Kirk A, MacMillan F, Rice M, Carmichael A. An exploratory study examining the appropriateness and potential benefit of the nintendo wii as a physical activity tool in adults aged ≥ 55 years. Interact Comput. 2013;25(1):102–14. doi:10.1093/iwc/iws004.
  • Jo P, Butterworth S, Ca R, Burden V, Perrin N, Leo M, Flaherty-Robb M, Prochaska JM. Initial efficacy of MI, TTM tailoring and HRI’s with multiple behaviors for employee health promotion. Prev Med. 2008;46(3):226–31. doi:10.1016/j.ypmed.2007.11.007.
  • Spittaels H, de Bourdeaudhuij I. Implementation of an online tailored physical activity intervention for adults in Belgium. Health Promot Internation. 2006;21(4):311–19. doi:10.1093/heapro/dal030.
  • Jara AJ, Lopez P, Fernandez D, Zamora MA, Ubeda B, Skarmeta AF. Communication protocol for enabling continuous monitoring of elderly people through near field communications. Interact Comput. 2014;26(2):145–68. doi:10.1093/iwc/iwt030.
  • Es P. Goal setting as a health behavior change strategy in overweight and obese adults: a systematic literature review examining intervention components. Patient Educ Couns. 2012;87(1):32–42. doi:10.1016/j.pec.2011.07.018.
  • Broekhuizen K, Kroeze W, van Poppel MNM, Oenema A, Brug J, Systematic A. Review of randomized controlled trials on the effectiveness of computer-tailored physical activity and dietary behavior promotion programs: an update. Ann Behav Med. 2012;44:259–86. doi:10.1007/s12160-012-9384-3.
  • Win KT, Hassan NM, Oinas-Kukkonen H, Probst Y. Online patient education for chronic disease management: consumer perspectives. J Med Syst. 2016;40(4):1–13. doi:10.1007/s10916-015-0365-5.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.