This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (3297) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (573)

Published on in Vol 13, No 1 (2011): Jan-Mar

Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use

Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use

Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use

Authors of this article:

Russell Glasgow1 ;   Steven M Christiansen2 ;   Deanna Kurz1 ;   Diane K King1 ;   Tim Woolley2 ;   Andrew J Faber1 ;   Paul A Estabrooks3 ;   Lisa Strycker4 ;   Deborah Toobert4 ;   Jennifer Dickman1
Article Authors Cited by (154) Tweetations (4) Metrics

Journals

  1. Guo Y, Albright D. The effectiveness of telehealth on self-management for older adults with a chronic condition: A comprehensive narrative review of the literature. Journal of Telemedicine and Telecare 2018;24(6):392 View
  2. Kerr D, Ornelas I, Lilly M, Calhoun R, Meischke H. Participant Engagement in and Perspectives on a Web-Based Mindfulness Intervention for 9-1-1 Telecommunicators: Multimethod Study. Journal of Medical Internet Research 2019;21(6):e13449 View
  3. Wilson D, Sweeney A, Law L, Kitzman-Ulrich H, Resnicow K. Web-Based Program Exposure and Retention in the Families Improving Together for Weight Loss Trial. Annals of Behavioral Medicine 2019;53(4):399 View
  4. Syrjala K, Crouch M, Leisenring W, Flowers M, Artherholt S, Fiscalini A, Romano E, Romano J, Martin P, Yi J. Engagement with INSPIRE, an Online Program for Hematopoietic Cell Transplantation Survivors. Biology of Blood and Marrow Transplantation 2018;24(8):1692 View
  5. Graetz I, Huang J, Brand R, Hsu J, Reed M. Mobile-accessible personal health records increase the frequency and timeliness of PHR use for patients with diabetes. Journal of the American Medical Informatics Association 2019;26(1):50 View
  6. Graham A, Jacobs M, Cohn A, Cha S, Abroms L, Papandonatos G, Whittaker R. Optimising text messaging to improve adherence to web-based smoking cessation treatment: a randomised control trial protocol. BMJ Open 2016;6(3):e010687 View
  7. Kelders S, Kok R, Ossebaard H, Van Gemert-Pijnen J. Persuasive System Design Does Matter: a Systematic Review of Adherence to Web-based Interventions. Journal of Medical Internet Research 2012;14(6):e152 View
  8. Jee H. Review of researches on smartphone applications for physical activity promotion in healthy adults. Journal of Exercise Rehabilitation 2017;13(1):3 View
  9. Bergner E, Nelson L, Rothman R, Mayberry L. Text Messaging May Engage and Benefit Adults with Type 2 Diabetes Regardless of Health Literacy Status. HLRP: Health Literacy Research and Practice 2017;1(4) View
  10. Kelders S, Bohlmeijer E, Van Gemert-Pijnen J. Participants, Usage, and Use Patterns of a Web-Based Intervention for the Prevention of Depression Within a Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(8):e172 View
  11. Baptista S, Wadley G, Bird D, Oldenburg B, Speight J. User Experiences With a Type 2 Diabetes Coaching App: Qualitative Study. JMIR Diabetes 2020;5(3):e16692 View
  12. Davies C, Corry K, Van Itallie A, Vandelanotte C, Caperchione C, Mummery W. 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 2012;14(1):e4 View
  13. Fisher L, Hessler D, Glasgow R, Arean P, Masharani U, Naranjo D, Strycker L. REDEEM: A Pragmatic Trial to Reduce Diabetes Distress. Diabetes Care 2013;36(9):2551 View
  14. Williams E, Lorig K, Glover S, Kamen D, Back S, Merchant A, Zhang J, Oates J. Intervention to Improve Quality of life for African-AmericaN lupus patients (IQAN): study protocol for a randomized controlled trial of a unique a la carte intervention approach to self-management of lupus in African Americans. BMC Health Services Research 2016;16(1) View
  15. Pignato M, Arbeeva L, Schwartz T, Callahan L, Cooke J, Golightly Y, Goode A, Heiderscheit B, Hill C, Huffman K, Severson H, Allen K. Level of participation in physical therapy or an internet-based exercise training program: associations with outcomes for patients with knee osteoarthritis. BMC Musculoskeletal Disorders 2018;19(1) View
  16. Böhm A, Jensen M, Sørensen M, Stargardt T. Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study. JMIR mHealth and uHealth 2020;8(11):e22212 View
  17. van Vugt M, de Wit M, Hendriks S, Roelofsen Y, Bilo H, Snoek F. Web-based self-management with and without coaching for type 2 diabetes patients in primary care: design of a randomized controlled trial. BMC Endocrine Disorders 2013;13(1) View
  18. Chen L, Chuang L, Chang C, Wang C, Wang I, Chung Y, Peng H, Chen H, Hsu Y, Lin Y, Chen H, Chang T, Jiang Y, Lee H, Tan C, Chang H, Lai F. Evaluating Self-Management Behaviors of Diabetic Patients in a Telehealthcare Program: Longitudinal Study Over 18 Months. Journal of Medical Internet Research 2013;15(12):e266 View
  19. Kelders S, Oinas-Kukkonen H, Oörni A, van Gemert-Pijnen J. Health Behavior Change Support Systems as a research discipline; A viewpoint. International Journal of Medical Informatics 2016;96:3 View
  20. Huang M, Hung C, Yu C, Berry D, Shin S, Hsu Y. The effectiveness of multimedia education for patients with type 2 diabetes mellitus. Journal of Advanced Nursing 2017;73(4):943 View
  21. Usher-Smith J, Winther L, Shefer G, Silarova B, Payne R, Griffin S. Factors Associated With Engagement With a Web-Based Lifestyle Intervention Following Provision of Coronary Heart Disease Risk: Mixed Methods Study. Journal of Medical Internet Research 2017;19(10):e351 View
  22. Kim S. An exploratory study of inactive health information seekers. International Journal of Medical Informatics 2015;84(2):119 View
  23. Attridge M, Creamer J, Ramsden M, Cannings-John R, Hawthorne K. Culturally appropriate health education for people in ethnic minority groups with type 2 diabetes mellitus. Cochrane Database of Systematic Reviews 2014;2014(9) View
  24. Law L, Edirisinghe N, Wason J. Use of an embedded, micro-randomised trial to investigate non-compliance in telehealth interventions. Clinical Trials 2016;13(4):417 View
  25. Mackert M, Champlin S, Holton A, Muñoz I, Damásio M. eHealth and Health Literacy: A Research Methodology Review. Journal of Computer-Mediated Communication 2014;19(3):516 View
  26. Victorson D, Kentor M, Maletich C, Lawton R, Kaufman V, Borrero M, Languido L, Lewett K, Pancoe H, Berkowitz C. Mindfulness Meditation to Promote Wellness and Manage Chronic Disease. American Journal of Lifestyle Medicine 2015;9(3):185 View
  27. Zhang R, Nicholas J, Knapp A, Graham A, Gray E, Kwasny M, Reddy M, Mohr D. Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study. Journal of Medical Internet Research 2019;21(12):e15644 View
  28. Guertler D, Vandelanotte C, Kirwan M, Duncan M. Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia. Journal of Medical Internet Research 2015;17(7):e176 View
  29. Bond C, Ahmed O, Hind M, Thomas B, Hewitt-Taylor J. The Conceptual and Practical Ethical Dilemmas of Using Health Discussion Board Posts as Research Data. Journal of Medical Internet Research 2013;15(6):e112 View
  30. Alberts N, Law E, Chen A, Ritterband L, Palermo T. Treatment engagement in an internet-delivered cognitive behavioral program for pediatric chronic pain. Internet Interventions 2018;13:67 View
  31. Bloomgarden Z, Li X. Helping people with diabetes to exercise 帮助糖尿病患者运动. Journal of Diabetes 2015;7(2):150 View
  32. Portz J, Miller A, Foster B, Laudeman L. Persuasive features in health information technology interventions for older adults with chronic diseases: a systematic review. Health and Technology 2016;6(2):89 View
  33. Alhuwail D, Abduo H, Alqabandi N, Abu-Ghefreh A, Dawwas B, Halawa N. Engagement and Usage Patterns of a Diabetes Education Website Tailored for Arabic Speakers: A Case Study of a Diabetes Website from Kuwait. Journal of Consumer Health on the Internet 2018;22(4):337 View
  34. Schneider F, de Vries H, Candel M, van de Kar A, van Osch L. Periodic Email Prompts to Re-Use an Internet-Delivered Computer-Tailored Lifestyle Program: Influence of Prompt Content and Timing. Journal of Medical Internet Research 2013;15(1):e23 View
  35. Lau A, Proudfoot J, Andrews A, Liaw S, Crimmins J, Arguel A, Coiera E. Which Bundles of Features in a Web-Based Personally Controlled Health Management System Are Associated With Consumer Help-Seeking Behaviors for Physical and Emotional Well-Being?. Journal of Medical Internet Research 2013;15(5):e79 View
  36. Berry D, Blonquist T, Patel R, Halpenny B, McReynolds J. Exposure to a Patient-Centered, Web-Based Intervention for Managing Cancer Symptom and Quality of Life Issues: Impact on Symptom Distress. Journal of Medical Internet Research 2015;17(6):e136 View
  37. Stellefson M, Chaney B, Barry A, Chavarria E, Tennant B, Walsh-Childers K, Sriram P, Zagora J. Web 2.0 Chronic Disease Self-Management for Older Adults: A Systematic Review. Journal of Medical Internet Research 2013;15(2):e35 View
  38. Murray J, French D, Patterson C, Kee F, Gough A, Tang J, Hunter R. Predicting Outcomes from Engagement With Specific Components of an Internet-Based Physical Activity Intervention With Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(4):e11394 View
  39. Chen Z, Zhang C, Fan G. Interrelationship between Interpersonal Interaction Intensity and Health Self-Efficacy in People with Diabetes or Prediabetes on Online Diabetes Social Platforms: An In-Depth Survey in China. International Journal of Environmental Research and Public Health 2020;17(15):5375 View
  40. Hessler D, Fisher L, Glasgow R, Strycker L, Dickinson L, Arean P, Masharani U. Reductions in Regimen Distress Are Associated With Improved Management and Glycemic Control Over Time. Diabetes Care 2014;37(3):617 View
  41. Trevena L. PatientsLikeMe and the tale of three brothers. Medical Journal of Australia 2011;195(5):258 View
  42. van Bruinessen I, van Weel-Baumgarten E, Snippe H, Gouw H, Zijlstra J, van Dulmen S. Active Patient Participation in the Development of an Online Intervention. JMIR Research Protocols 2014;3(4):e59 View
  43. Morrison L, Geraghty A, Lloyd S, Goodman N, Michaelides D, Hargood C, Weal M, Yardley L. Comparing usage of a web and app stress management intervention: An observational study. Internet Interventions 2018;12:74 View
  44. Shortreed S, Bogart A, McClure J. Using Multiple Imputations to Accommodate Time-Outs in Online Interventions. Journal of Medical Internet Research 2013;15(11):e252 View
  45. Egede L, Gebregziabher M, Dismuke C, Lynch C, Axon R, Zhao Y, Mauldin P. Medication Nonadherence in Diabetes. Diabetes Care 2012;35(12):2533 View
  46. Tatara N, Årsand E, Skrøvseth S, Hartvigsen G. Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes. JMIR mHealth and uHealth 2013;1(1):e1 View
  47. Cotter A, Durant N, Agne A, Cherrington A. Internet interventions to support lifestyle modification for diabetes management: A systematic review of the evidence. Journal of Diabetes and its Complications 2014;28(2):243 View
  48. de Beurs D, van Bruinessen I, Noordman J, Friele R, van Dulmen S. Active Involvement of End Users When Developing Web-Based Mental Health Interventions. Frontiers in Psychiatry 2017;8 View
  49. Hunter R, Gough A, Murray J, Tang J, Brennan S, Chrzanowski-Smith O, Carlin A, Patterson C, Longo A, Hutchinson G, Prior L, Tully M, French D, Adams J, McIntosh E, Xin Y, Kee F. A loyalty scheme to encourage physical activity in office workers: a cluster RCT. Public Health Research 2019;7(15):1 View
  50. Glasgow R, Kurz D, Dickman J, Osuna D, Strycker L, King D. Linking internet-based diabetes self-management to primary care: lessons learned and implications for research translation and practice implementation. Translational Behavioral Medicine 2012;2(3):313 View
  51. Bailey S, Brega A, Crutchfield T, Elasy T, Herr H, Kaphingst K, Karter A, Moreland-Russell S, Osborn C, Pignone M, Rothman R, Schillinger D. Update on Health Literacy and Diabetes. The Diabetes Educator 2014;40(5):581 View
  52. Power J, Phelan S, Hatley K, Brannen A, Muñoz-Christian K, Legato M, Tate D. Engagement and Weight Loss in a Web and Mobile Program for Low-Income Postpartum Women: Fit Moms/Mamás Activas. Health Education & Behavior 2019;46(2_suppl):114S View
  53. Valdez R, Guterbock T, Fitzgibbon K, Williams I, Wellbeloved-Stone C, Bears J, Menefee H. From loquacious to reticent: understanding patient health information communication to guide consumer health IT design. Journal of the American Medical Informatics Association 2017;24(4):680 View
  54. Milward J, Drummond C, Fincham-Campbell S, Deluca P. What makes online substance-use interventions engaging? A systematic review and narrative synthesis. DIGITAL HEALTH 2018;4 View
  55. Farmer A, McSharry J, Rowbotham S, McGowan L, Ricci‐Cabello I, French D. Effects of interventions promoting monitoring of medication use and brief messaging on medication adherence for people with Type 2 diabetes: a systematic review of randomized trials. Diabetic Medicine 2016;33(5):565 View
  56. Linke S, Dunsiger S, Gans K, Hartman S, Pekmezi D, Larsen B, Mendoza-Vasconez A, Marcus B. Association Between Physical Activity Intervention Website Use and Physical Activity Levels Among Spanish-Speaking Latinas: Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(7):e13063 View
  57. Perski O, Blandford A, West R, Michie S. Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis. Translational Behavioral Medicine 2017;7(2):254 View
  58. King D, Toobert D, Portz J, Strycker L, Doty A, Martin C, Boggs J, Faber A, Geno C, Glasgow R. What patients want: relevant health information technology for diabetes self-management. Health and Technology 2012;2(3):147 View
  59. Mailey E, Irwin B, Joyce J, Hsu W. InDependent but not Alone: A Web‐Based Intervention to Promote Physical and Mental Health among Military Spouses. Applied Psychology: Health and Well-Being 2019;11(3):562 View
  60. Graham M, Uesugi K, Olson C. Barriers to weight‐related health behaviours: a qualitative comparison of the socioecological conditions between pregnant and post‐partum low‐income women. Maternal & Child Nutrition 2016;12(2):349 View
  61. Ingersoll B, Berger N. Parent Engagement With a Telehealth-Based Parent-Mediated Intervention Program for Children With Autism Spectrum Disorders: Predictors of Program Use and Parent Outcomes. Journal of Medical Internet Research 2015;17(10):e227 View
  62. Ainsworth B, Steele M, Stuart B, Joseph J, Miller S, Morrison L, Little P, Yardley L. Using an Analysis of Behavior Change to Inform Effective Digital Intervention Design: How Did the PRIMIT Website Change Hand Hygiene Behavior Across 8993 Users?. Annals of Behavioral Medicine 2017;51(3):423 View
  63. Cassimatis M, Kavanagh D, Hills A, Smith A, Scuffham P, Edge S, Gibson J, Gericke C. Development of the OnTrack Diabetes Program. JMIR Research Protocols 2015;4(2):e24 View
  64. Harden S, Gaglio B, Shoup J, Kinney K, Johnson S, Brito F, Blackman K, Zoellner J, Hill J, Almeida F, Glasgow R, Estabrooks P. Fidelity to and comparative results across behavioral interventions evaluated through the RE-AIM framework: a systematic review. Systematic Reviews 2015;4(1) View
  65. Nelson L, Bethune M, Lagotte A, Osborn C. The Usability of Diabetes MAP: A Web-delivered Intervention for Improving Medication Adherence. JMIR Human Factors 2016;3(1):e13 View
  66. Short C, DeSmet A, Woods C, Williams S, Maher C, Middelweerd A, Müller A, Wark P, Vandelanotte C, Poppe L, Hingle M, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292 View
  67. Morrison C, Doherty G. Analyzing Engagement in a Web-Based Intervention Platform Through Visualizing Log-Data. Journal of Medical Internet Research 2014;16(11):e252 View
  68. Pereira K, Phillips B, Johnson C, Vorderstrasse A. Internet Delivered Diabetes Self-Management Education: A Review. Diabetes Technology & Therapeutics 2015;17(1):55 View
  69. Lenzen S, Daniëls R, van Bokhoven M, van der Weijden T, Beurskens A, Lavoie K. Disentangling self-management goal setting and action planning: A scoping review. PLOS ONE 2017;12(11):e0188822 View
  70. Fisher L, Hessler D, Polonsky W, Mullan J. When Is Diabetes Distress Clinically Meaningful?. Diabetes Care 2012;35(2):259 View
  71. Poduval S, Marston L, Hamilton F, Stevenson F, Murray E. Feasibility, Acceptability, and Impact of a Web-Based Structured Education Program for Type 2 Diabetes: Real-World Study. JMIR Diabetes 2020;5(1):e15744 View
  72. Weymann N, Dirmaier J, von Wolff A, Kriston L, Härter M. Effectiveness of a Web-Based Tailored Interactive Health Communication Application for Patients With Type 2 Diabetes or Chronic Low Back Pain: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(3):e53 View
  73. Murray E, White I, Varagunam M, Godfrey C, Khadjesari Z, McCambridge J. Attrition Revisited: Adherence and Retention in a Web-Based Alcohol Trial. Journal of Medical Internet Research 2013;15(8):e162 View
  74. Graham M, Uesugi K, Niederdeppe J, Gay G, Olson C. The Theory, Development, and Implementation of an e-Intervention to Prevent Excessive Gestational Weight Gain: e-Moms Roc. Telemedicine and e-Health 2014;20(12):1135 View
  75. Sieverink F, Kelders S, Poel M, van Gemert-Pijnen L. Opening the Black Box of Electronic Health: Collecting, Analyzing, and Interpreting Log Data. JMIR Research Protocols 2017;6(8):e156 View
  76. BURNS P, JONES S, IVERSON D, CAPUTI P. Internet Self-Management Uniform Reporting Framework. CIN: Computers, Informatics, Nursing 2013;31(11):554 View
  77. Winston K, Grendarova P, Rabi D. Video-based patient decision aids: A scoping review. Patient Education and Counseling 2018;101(4):558 View
  78. Fisher L, Glasgow R, Huebschmann A. A Scoping Review and General User's Guide for Facilitating the Successful Use of eHealth Programs for Diabetes in Clinical Care. Diabetes Technology & Therapeutics 2021;23(2):133 View
  79. Richardson A, Graham A, Cobb N, Xiao H, Mushro A, Abrams D, Vallone D. Engagement Promotes Abstinence in a Web-based Cessation Intervention: Cohort Study. Journal of Medical Internet Research 2013;15(1):e14 View
  80. Vidyanti I, Wu B, Wu S. Low-income minority patient engagement with automated telephonic depression assessment and impact on health outcomes. Quality of Life Research 2015;24(5):1119 View
  81. Glasgow R, Strycker L, King D, Toobert D. Understanding Who Benefits at Each Step in an Internet-Based Diabetes Self-Management Program. Medical Decision Making 2014;34(2):180 View
  82. Warrington L, Absolom K, Conner M, Kellar I, Clayton B, Ayres M, Velikova G. Electronic Systems for Patients to Report and Manage Side Effects of Cancer Treatment: Systematic Review. Journal of Medical Internet Research 2019;21(1):e10875 View
  83. Duncan M, Vandelanotte C, Kolt G, Rosenkranz R, Caperchione C, George E, Ding H, Hooker C, Karunanithi M, Maeder A, Noakes M, Tague R, Taylor P, Viljoen P, Mummery W. 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. Journal of Medical Internet Research 2014;16(6):e136 View
  84. Sawesi S, Rashrash M, Phalakornkule K, Carpenter J, Jones J. The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature. JMIR Medical Informatics 2016;4(1):e1 View
  85. Børøsund E, Cvancarova M, Ekstedt M, Moore S, Ruland C. How User Characteristics Affect Use Patterns in Web-Based Illness Management Support for Patients with Breast and Prostate Cancer. Journal of Medical Internet Research 2013;15(3):e34 View
  86. Dennison L, Morrison L, Lloyd S, Phillips D, Stuart B, Williams S, Bradbury K, Roderick P, Murray E, Michie S, Little P, Yardley L. Does Brief Telephone Support Improve Engagement With a Web-Based Weight Management Intervention? Randomized Controlled Trial. Journal of Medical Internet Research 2014;16(3):e95 View
  87. Quinn C, Khokhar B, Weed K, Barr E, Gruber-Baldini A. Older Adult Self-Efficacy Study of Mobile Phone Diabetes Management. Diabetes Technology & Therapeutics 2015;17(7):455 View
  88. Reading M, Merrill J. Converging and diverging needs between patients and providers who are collecting and using patient-generated health data: an integrative review. Journal of the American Medical Informatics Association 2018;25(6):759 View
  89. Demment M, Graham M, Olson C. How an Online Intervention to Prevent Excessive Gestational Weight Gain Is Used and by Whom: A Randomized Controlled Process Evaluation. Journal of Medical Internet Research 2014;16(8):e194 View
  90. Mignerat M, Lapointe L, Vedel I. Using telecare for diabetic patients: A mixed systematic review. Health Policy and Technology 2014;3(2):90 View
  91. Leahey T, Fava J, Seiden A, Fernandes D, Doyle C, Kent K, La Rue M, Mitchell M, Wing R. A randomized controlled trial testing an Internet delivered cost–benefit approach to weight loss maintenance. Preventive Medicine 2016;92:51 View
  92. Cheikh-Moussa K, Mira J, Orozco-Beltran D. Improving Engagement Among Patients With Chronic Cardiometabolic Conditions Using mHealth: Critical Review of Reviews. JMIR mHealth and uHealth 2020;8(4):e15446 View
  93. Mandlik M, Oetzel J, Kadirov D. Obesity and health care interventions: Substantiating a multi‐modal challenge through the lens of grounded theory. Health Promotion Journal of Australia 2021;32(2):274 View
  94. van Vugt M, de Wit M, Cleijne W, Snoek F. Use of Behavioral Change Techniques in Web-Based Self-Management Programs for Type 2 Diabetes Patients: Systematic Review. Journal of Medical Internet Research 2013;15(12):e279 View
  95. Owen J, Bantum E, Gorlick A, Stanton A. Engagement with a Social Networking Intervention for Cancer-Related Distress. Annals of Behavioral Medicine 2015;49(2):154 View
  96. Nelson L, Coston T, Cherrington A, Osborn C. Patterns of User Engagement with Mobile- and Web-Delivered Self-Care Interventions for Adults with T2DM: A Review of the Literature. Current Diabetes Reports 2016;16(7) View
  97. Whitton A, Proudfoot J, Clarke J, Birch M, Parker G, Manicavasagar V, Hadzi-Pavlovic D. Breaking Open the Black Box: Isolating the Most Potent Features of a Web and Mobile Phone-Based Intervention for Depression, Anxiety, and Stress. JMIR Mental Health 2015;2(1):e3 View
  98. Murray E. Web-Based Interventions for Behavior Change and Self-Management: Potential, Pitfalls, and Progress. Medicine 2.0 2012;1(2):e3 View
  99. Li Y, Polk J, Plankey M. Online Health-Searching Behavior Among HIV-Seropositive and HIV-Seronegative Men Who Have Sex With Men in the Baltimore and Washington, DC Area. Journal of Medical Internet Research 2013;15(5):e78 View
  100. Neubeck L, Coorey G, Peiris D, Mulley J, Heeley E, Hersch F, Redfern J. Development of an integrated e-health tool for people with, or at high risk of, cardiovascular disease: The Consumer Navigation of Electronic Cardiovascular Tools (CONNECT) web application. International Journal of Medical Informatics 2016;96:24 View
  101. Bossen D, Buskermolen M, Veenhof C, de Bakker D, Dekker J. 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 2013;15(10):e223 View
  102. Kirwan M, Duncan M, Vandelanotte C, Mummery W. Using Smartphone Technology to Monitor Physical Activity in the 10,000 Steps Program: A Matched Case–Control Trial. Journal of Medical Internet Research 2012;14(2):e55 View
  103. Alshurafa N, Jain J, Alharbi R, Iakovlev G, Spring B, Pfammatter A. Is More Always Better?. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018;2(4):1 View
  104. Xie L, Itzkovitz A, Roy-Fleming A, Da Costa D, Brazeau A. Understanding Self-Guided Web-Based Educational Interventions for Patients With Chronic Health Conditions: Systematic Review of Intervention Features and Adherence. Journal of Medical Internet Research 2020;22(8):e18355 View
  105. Wali H, Hudani Z, Wali S, Mercer K, Grindrod K. A systematic review of interventions to improve medication information for low health literate populations. Research in Social and Administrative Pharmacy 2016;12(6):830 View
  106. Glasgow R, Kurz D, King D, Dickman J, Faber A, Halterman E, Wooley T, Toobert D, Strycker L, Estabrooks P, Osuna D, Ritzwoller D. Outcomes of Minimal and Moderate Support Versions of an Internet-Based Diabetes Self-Management Support Program. Journal of General Internal Medicine 2010;25(12):1315 View
  107. Graham A, Cha S, Papandonatos G, Cobb N, Mushro A, Fang Y, Niaura R, Abrams D. Improving adherence to web-based cessation programs: a randomized controlled trial study protocol. Trials 2013;14(1):48 View
  108. Vorderstrasse A, Lewinski A, Melkus G, Johnson C. Social Support for Diabetes Self-Management via eHealth Interventions. Current Diabetes Reports 2016;16(7) View
  109. Breitenstein S, Brager J, Ocampo E, Fogg L. Engagement and Adherence With ezPARENT, an mHealth Parent-Training Program Promoting Child Well-Being. Child Maltreatment 2017;22(4):295 View
  110. Leung M, Mateo K, Verdaguer S, Wyka K. Testing a Web-Based Interactive Comic Tool to Decrease Obesity Risk Among Minority Preadolescents: Protocol for a Pilot Randomized Control Trial. JMIR Research Protocols 2018;7(11):e10682 View
  111. Urowitz S, Wiljer D, Dupak K, Kuehner Z, Leonard K, Lovrics E, Picton P, Seto E, Cafazzo J. Improving Diabetes Management With a Patient Portal: A Qualitative Study of Diabetes Self-Management Portal. Journal of Medical Internet Research 2012;14(6):e158 View
  112. Dening J, Islam S, George E, Maddison R. Web-Based Interventions for Dietary Behavior in Adults With Type 2 Diabetes: Systematic Review of Randomized Controlled Trials. Journal of Medical Internet Research 2020;22(8):e16437 View
  113. Posadzki P, Mastellos N, Ryan R, Gunn L, Felix L, Pappas Y, Gagnon M, Julious S, Xiang L, Oldenburg B, Car J. Automated telephone communication systems for preventive healthcare and management of long-term conditions. Cochrane Database of Systematic Reviews 2016;2016(12) View
  114. Mortimer N, Rhee J, Guy R, Hayen A, Lau A. A web-based personally controlled health management system increases sexually transmitted infection screening rates in young people: a randomized controlled trial. Journal of the American Medical Informatics Association 2015;22(4):805 View
  115. Strubbia C, Levack W, Grainger R, Takahashi K, Tomori K. Use of technology in supporting goal setting in rehabilitation for adults: a scoping review. BMJ Open 2020;10(11):e041730 View
  116. Delva S, Waligora Mendez K, Cajita M, Koirala B, Shan R, Wongvibulsin S, Vilarino V, Gilmore D, Han H. Efficacy of Mobile Health for Self-management of Cardiometabolic Risk Factors. Journal of Cardiovascular Nursing 2021;36(1):34 View
  117. Kar P, Goward C, Whitman M, Davies M, Willner T, Shaw K. Engagement and effectiveness of digitally enabled behavioural change support for people living with type 2 diabetes. Practical Diabetes 2020;37(5):167 View
  118. Martinez W, Threatt A, Rosenbloom S, Wallston K, Hickson G, Elasy T. A Patient-Facing Diabetes Dashboard Embedded in a Patient Web Portal: Design Sprint and Usability Testing. JMIR Human Factors 2018;5(3):e26 View
  119. Coorey G, Peiris D, Scaria A, Mulley J, Neubeck L, Hafiz N, Redfern J. An Internet-Based Intervention for Cardiovascular Disease Management Integrated With Primary Care Electronic Health Records: Mixed Methods Evaluation of Implementation Fidelity and User Engagement. Journal of Medical Internet Research 2021;23(4):e25333 View
  120. Li J, Yu K, Bao X, Liu X, Yao J. Patterns of eHealth Website User Engagement Based on Cross-site Clickstream Data: Correlational Study. Journal of Medical Internet Research 2021;23(8):e29299 View
  121. Geukes C, Stark A, Dockweiler C. eHealth Literacy als Grundlage zur Entwicklung digitaler Technologien in der Gesundheitsförderung und Prävention? Eine systematische Übersicht der Literatur. Prävention und Gesundheitsförderung 2022;17(2):163 View
  122. Lee J, Turchioe M, Creber R, Biviano A, Hickey K, Bakken S. Phenotypes of engagement with mobile health technology for heart rhythm monitoring. JAMIA Open 2021;4(2) View
  123. Vitale E, Vion Génovese V, Allenet B. Les outils numériques au service de l’éducation thérapeutique : leurre ou pertinence ? revue narrative de la littérature. Education Thérapeutique du Patient - Therapeutic Patient Education 2021;13(1):10601 View
  124. Masterson Creber R, Turchioe M. Returning Cardiac Rhythm Data to Patients. Cardiac Electrophysiology Clinics 2021;13(3):555 View
  125. Chen K, Yen T, Sun W, Tevaarwerk A, Wiegmann D, Heidrich S, Sesto M. Usage of a Web-Based Workplace and Symptom Self-Management Intervention Tool to Improve Work Ability for Breast Cancer Survivors. Journal of Cancer Education 2022;37(6):1824 View
  126. Klimis H, Nothman J, Lu D, Sun C, Cheung N, Redfern J, Thiagalingam A, Chow C. Text Message Analysis Using Machine Learning to Assess Predictors of Engagement With Mobile Health Chronic Disease Prevention Programs: Content Analysis. JMIR mHealth and uHealth 2021;9(11):e27779 View
  127. Chen E, Moracco K, Kainz K, Muessig K, Tate D. Developing and validating a new scale to measure the acceptability of health apps among adolescents. DIGITAL HEALTH 2022;8:205520762110676 View
  128. Stecher C, Berardi V, Fowers R, Christ J, Chung Y, Huberty J. Identifying App-Based Meditation Habits and the Associated Mental Health Benefits: Longitudinal Observational Study. Journal of Medical Internet Research 2021;23(11):e27282 View
  129. Wang Y, Xu J, Xie T. Relationship between internet use intensity and quality of life in chronic patients during the COVID-19 pandemic: The role of physical exercise and health insurance. Frontiers in Public Health 2022;10 View
  130. Huang Y, Benford S, Li B, Price D, Blake H. Feasibility and Acceptability of an Internet of Things–Enabled Sedentary Behavior Intervention: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e43502 View
  131. Yaagoob E, Hunter S, Chan S. The effectiveness of social media intervention in people with diabetes: An integrative review. Journal of Clinical Nursing 2023;32(11-12):2419 View
  132. Dening J, Zacharia K, Ball K, George E, Islam S, Dejenie T. Exploring engagement with a web-based dietary intervention for adults with type 2 diabetes: A mixed methods evaluation of the T2Diet study. PLOS ONE 2022;17(12):e0279466 View
  133. Shao M, Zhao X, Li Y. User Engagement and User Loyalty Under Different Online Healthcare Community Incentives: An Experimental Study. Frontiers in Psychology 2022;13 View
  134. Arnold A, Rosenthal M, Salkar M, Patelb S, Harrell E, Aldridge H, Mancuso B. Patient Centered Studies Focused on Type 2 Diabetes Management, Education, and Family Support: A Scoping Review. Current Diabetes Reviews 2022;18(7) View
  135. Hors-Fraile S, Candel M, Schneider F, Malwade S, Nunez-Benjumea F, Syed-Abdul S, Fernandez-Luque L, de Vries H. Applying Collective Intelligence in Health Recommender Systems for Smoking Cessation: A Comparison Trial. Electronics 2022;11(8):1219 View
  136. Johnson C, D'Eramo Melkus G, Reagan L, Pan W, Amarasekara S, Pereira K, Hassell N, Nowlin S, Vorderstrasse A. Learning in a Virtual Environment to Improve Type 2 Diabetes Outcomes: Randomized Controlled Trial. JMIR Formative Research 2023;7:e40359 View
  137. Zhou T, Wang Y, Yan L, Tan Y. Learning to be Proficient? A Structural Model of User Dynamic Engagement in E-Health Interventions. SSRN Electronic Journal 2022 View
  138. Wang R, Rouleau G, Booth G, Brazeau A, El-Dassouki N, Taylor M, Cafazzo J, Greenberg M, Nakhla M, Shulman R, Desveaux L. Understanding Whether and How a Digital Health Intervention Improves Transition Care for Emerging Adults Living With Type 1 Diabetes: Protocol for a Mixed Methods Realist Evaluation. JMIR Research Protocols 2023;12:e46115 View
  139. Barker M, Chauhan R, Davies M, Brough C, Northern A, Stribling B, Schreder S, Khunti K, Hadjiconstantinou M. User Retention and Engagement in the Digital-Based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) Program: Descriptive Longitudinal Study. JMIR Diabetes 2023;8:e44943 View
  140. Ingersoll B, Frost K, Straiton D, Ramos A, Howard M. Relative Efficacy of Self-directed and Therapist-assisted Telehealth Models of a Parent-mediated Intervention for Autism: Examining Effects on Parent Intervention Fidelity, Well-being, and Program Engagement. Journal of Autism and Developmental Disorders 2024;54(10):3605 View
  141. Moffit R, McTigue K, Conroy M, Kriska A, Fischer G, Ricci E, Dunstan D, Deperrior S, Rao N, Burke L, Rockette-Wagner B. Aspects of Program Engagement in an Online Physical Activity Intervention and Baseline Predictors of Engagement. American Journal of Health Promotion 2023;37(8):1100 View
  142. Scheckel B, Schmidt K, Stock S, Redaèlli M. Patient Portals as Facilitators of Engagement in Patients With Diabetes and Chronic Heart Disease: Scoping Review of Usage and Usability. Journal of Medical Internet Research 2023;25:e38447 View
  143. Nicklas J, Pyle L, Soares A, Leiferman J, Bull S, Tong S, Caldwell A, Santoro N, Barbour L, Gow M. The Fit After Baby randomized controlled trial: An mHealth postpartum lifestyle intervention for women with elevated cardiometabolic risk. PLOS ONE 2024;19(1):e0296244 View
  144. Andree R, Mujcic A, den Hollander W, van Laar M, Boon B, Engels R, Blankers M. A digital smoking cessation intervention for cancer survivors: Analysis of predictors and moderators of engagement and outcome alongside a randomized controlled trial (Preprint). JMIR Cancer 2023 View
  145. Coorey G, Neubeck L, Usherwood T, Peiris D, Parker S, Lau A, Chow C, Panaretto K, Harris M, Zwar N, Redfern J. Implementation of a consumer-focused eHealth intervention for people with moderate-to-high cardiovascular disease risk: protocol for a mixed-methods process evaluation. BMJ Open 2017;7(1):e014353 View
  146. W.Seidel R, Pardo K, A.Estabrooks P, WenYou , Wall S, M.Davy B, A.Almeida F. Beginning A Patient-Centered Approach in the Design of A Diabetes Prevention Program. International Journal of Environmental Research and Public Health 2014;11(2):2003 View
  147. Zhang W, Wang C, Wang H, Tang J, Zhang H, Zhu J, Zheng X, Luo S, Ding Y. Association between glucose levels of children with type 1 diabetes and parental economic status in mobile health application. World Journal of Diabetes 2024;15(7):1477 View
  148. Williams M, Manjourides J, Smith L, Rainer C, Hightow-Weidman L, Haley D. Digital intervention engagement mediates the relationship between intrapersonal measures and pre-exposure prophylaxis adherence: a secondary analysis of a randomized controlled trial of sexual orientation and gender minority youth on pre-exposure prophylaxis (Preprint). Journal of Medical Internet Research 2024 View

Books/Policy Documents

  1. Bartz C, Hardiker N. Practical Strategies and Tools to Promote Treatment Engagement. View
  2. Bridges A, Anastasia E. Enhancing Behavioral Health in Latino Populations. View
  3. Jung Han K. Health Literacy - Advances and Trends. View