Published on in Vol 12, No 4 (2010): Oct-Dec

Engagement and Retention: Measuring Breadth and Depth of Participant Use of an Online Intervention

Engagement and Retention: Measuring Breadth and Depth of Participant Use of an Online Intervention

Engagement and Retention: Measuring Breadth and Depth of Participant Use of an Online Intervention

Journals

  1. Songtaweesin W, Kawichai S, Phanuphak N, Cressey T, Wongharn P, Saisaengjan C, Chinbunchorn T, Janyam S, Linjongrat D, Puthanakit T, Phanuphak P, Pancharoen C, Teeratakulpisarn S, Ramautarsing R, Janamnuaysook R, Samitpol K, Kongkapan J, Chancham A, Mingkwanrungruang P, Thammajaruk N, Teachatanawat N, Termvanich K, Pankam T, Sungsing T, Amatavete S, Prabjantuek C, Panpet P, Jantarapakde J, Theerawit T, Jantarabenjakul W, Anugulruengkitt S, Jitrunruengnit N, Wacharachaisurapol N, Suchartlikitwong P, Janewongwirot P, Moonwong J, Nadsasarn R, Srimuan P, Thammasala S, Ubolyam S, Eamyoung P, Sophonphan J, Kerr S, Petwijit T, Bongsebandhu‐phubakdi C, Raksakul B, Meekrua P, Fungfoosri O, Plodgratoke P, Kidsumret P, Chumyen K, Chintanakarn S, Yenjit S, Suksom C, Rugphan T, Tantipaibulvut S, Kaw‐In P, Chanachon P, Pondet C. Youth‐friendly services and a mobile phone application to promote adherence to pre‐exposure prophylaxis among adolescent men who have sex with men and transgender women at‐risk for HIV in Thailand: a randomized control trial. Journal of the International AIDS Society 2020;23(S5) View
  2. Muench F, Baumel A. More Than a Text Message: Dismantling Digital Triggers to Curate Behavior Change in Patient-Centered Health Interventions. Journal of Medical Internet Research 2017;19(5):e147 View
  3. Crutzen R, Roosjen J, Poelman J. Using Google Analytics as a process evaluation method for Internet-delivered interventions: an example on sexual health. Health Promotion International 2013;28(1):36 View
  4. Young L, Barnason S, Do V. Promoting self-management through adherence among heart failure patients discharged from rural hospitals: a study protocol. F1000Research 2015;3:317 View
  5. 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
  6. Kelders S, van Zyl L, Ludden G. The Concept and Components of Engagement in Different Domains Applied to eHealth: A Systematic Scoping Review. Frontiers in Psychology 2020;11 View
  7. 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
  8. Ianakieva I, Fergus K, Ahmad S, Pereira A, Stephen J, McLeod D, Carter W, Panchaud J. Varying Levels and Types of Engagement in an Online Relationship Enhancement Program for Couples Following Breast Cancer. Journal of Couple & Relationship Therapy 2019;18(1):22 View
  9. 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
  10. Walthouwer M, Oenema A, Lechner L, de Vries H. Use and Effectiveness of a Video- and Text-Driven Web-Based Computer-Tailored Intervention: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(9):e222 View
  11. Baumel A, Yom-Tov E. Predicting user adherence to behavioral eHealth interventions in the real world: examining which aspects of intervention design matter most. Translational Behavioral Medicine 2018;8(5):793 View
  12. van Doorn-van Atten M, de Groot L, Romea A, Schwartz S, de Vries J, Haveman-Nies A. Implementation of a multicomponent telemonitoring intervention to improve nutritional status of community-dwelling older adults: a process evaluation. Public Health Nutrition 2019;22(2):363 View
  13. 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
  14. Chin A, Williams A. Take-Up of Financial Education: Demographic Characteristics and Prior Knowledge. Journal of Public Policy & Marketing 2020;39(3):319 View
  15. Stassen G, Grieben C, Froböse I, Schaller A. Engagement with a Web-Based Health Promotion Intervention among Vocational School Students: A Secondary User and Usage Analysis. International Journal of Environmental Research and Public Health 2020;17(7):2180 View
  16. Litvin E, Abrantes A, Brown R. Computer and mobile technology-based interventions for substance use disorders: An organizing framework. Addictive Behaviors 2013;38(3):1747 View
  17. 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
  18. Nijland N, van Gemert-Pijnen J, Kelders S, Brandenburg B, Seydel E. Factors Influencing the Use of a Web-Based Application for Supporting the Self-Care of Patients with Type 2 Diabetes: A Longitudinal Study. Journal of Medical Internet Research 2011;13(3):e71 View
  19. Penckofer S. Lost in translation: will the ‘personal’ become ‘impersonal’ when conducting research in the age of technology?. Clinical Investigation 2012;2(6):555 View
  20. Zhu H, Chen X, Yang J, Wu Q, Zhu J, Chan S. Mobile Breast Cancer e-Support Program for Chinese Women With Breast Cancer Undergoing Chemotherapy (Part 3): Secondary Data Analysis. JMIR mHealth and uHealth 2020;8(9):e18896 View
  21. Tuvesson H, Eriksén S, Fagerström C. mHealth and Engagement Concerning Persons With Chronic Somatic Health Conditions: Integrative Literature Review. JMIR mHealth and uHealth 2020;8(7):e14315 View
  22. Alkhaldi G, Hamilton F, Lau R, Webster R, Michie S, Murray E. The Effectiveness of Prompts to Promote Engagement With Digital Interventions: A Systematic Review. Journal of Medical Internet Research 2016;18(1):e6 View
  23. Milward J, Deluca P, Drummond C, Kimergård A. Developing Typologies of User Engagement With the BRANCH Alcohol-Harm Reduction Smartphone App: Qualitative Study. JMIR mHealth and uHealth 2018;6(12):e11692 View
  24. Schneider F, van Osch L, Schulz D, Kremers S, de Vries H. The Influence of User Characteristics and a Periodic Email Prompt on Exposure to an Internet-Delivered Computer-Tailored Lifestyle Program. Journal of Medical Internet Research 2012;14(2):e40 View
  25. McClure J, Shortreed S, Bogart A, Derry H, Riggs K, St John J, Nair V, An L. The Effect of Program Design on Engagement With an Internet-Based Smoking Intervention: Randomized Factorial Trial. Journal of Medical Internet Research 2013;15(3):e69 View
  26. Hartz S, Quan T, Ibiebele A, Fisher S, Olfson E, Salyer P, Bierut L. The significant impact of education, poverty, and race on Internet-based research participant engagement. Genetics in Medicine 2017;19(2):240 View
  27. 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
  28. 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
  29. Bauermeister J, Golinkoff J, Muessig K, Horvath K, Hightow-Weidman L. Addressing engagement in technology-based behavioural HIV interventions through paradata metrics. Current Opinion in HIV and AIDS 2017;12(5):442 View
  30. Arnold C, Villagonzalo K, Meyer D, Farhall J, Foley F, Kyrios M, Thomas N. Predicting engagement with an online psychosocial intervention for psychosis: Exploring individual- and intervention-level predictors. Internet Interventions 2019;18:100266 View
  31. Crutzen R, Ruiter R, de Vries N. Can interest and enjoyment help to increase use of Internet-delivered interventions?. Psychology & Health 2014;29(11):1227 View
  32. Brown M, Glendenning A, Hoon A, John A. Effectiveness of Web-Delivered Acceptance and Commitment Therapy in Relation to Mental Health and Well-Being: A Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2016;18(8):e221 View
  33. Cobb N, Poirier J. Effectiveness of a Multimodal Online Well-Being Intervention. American Journal of Preventive Medicine 2014;46(1):41 View
  34. 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
  35. Lin P, Grambow S, Intille S, Gallis J, Lazenka T, Bosworth H, Voils C, Bennett G, Batch B, Allen J, Corsino L, Tyson C, Svetkey L. The Association Between Engagement and Weight Loss Through Personal Coaching and Cell Phone Interventions in Young Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(10):e10471 View
  36. Perski O, Baretta D, Blandford A, West R, Michie S. Engagement features judged by excessive drinkers as most important to include in smartphone applications for alcohol reduction: A mixed-methods study. DIGITAL HEALTH 2018;4:205520761878584 View
  37. Baltierra N, Muessig K, Pike E, LeGrand S, Bull S, Hightow-Weidman L. More than just tracking time: Complex measures of user engagement with an internet-based health promotion intervention. Journal of Biomedical Informatics 2016;59:299 View
  38. 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
  39. Chen A, Wu S, Tomasino K, Lattie E, Mohr D. A multi-faceted approach to characterizing user behavior and experience in a digital mental health intervention. Journal of Biomedical Informatics 2019;94:103187 View
  40. Hermsen S, Moons J, Kerkhof P, Wiekens C, De Groot M. Determinants for Sustained Use of an Activity Tracker: Observational Study. JMIR mHealth and uHealth 2017;5(10):e164 View
  41. Arndt A, Rubel J, Berger T, Lutz W. Outpatient and self-referred participants: Adherence to treatment components and outcome in an internet intervention targeting anxiety disorders. Internet Interventions 2020;20:100319 View
  42. 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
  43. Beintner I, Görlich D, Berger T, Ebert D, Zeiler M, Herrero Camarano R, Waldherr K, Jacobi C. Interrelations between participant and intervention characteristics, process variables and outcomes in online interventions: A protocol for overarching analyses within and across seven clinical trials in ICare. Internet Interventions 2019;16:86 View
  44. Mohammadi R, Atif M, Centi A, Agboola S, Jethwani K, Kvedar J, Kamarthi S. Neural Network–Based Algorithm for Adjusting Activity Targets to Sustain Exercise Engagement Among People Using Activity Trackers: Retrospective Observation and Algorithm Development Study. JMIR mHealth and uHealth 2020;8(9):e18142 View
  45. Burns K, Jayasinha R, Brodaty H. Evaluation of an Electronic App Developed to Assist Clinicians in the Management of Behavioral and Psychological Symptoms of Dementia (BPSD). International Journal of Human–Computer Interaction 2017;33(11):902 View
  46. McCallum C, Rooksby J, Gray C. Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review. JMIR mHealth and uHealth 2018;6(3):e58 View
  47. Harrington R, Scarborough P, Hodgkins C, Raats M, Cowburn G, Dean M, Doherty A, Foster C, Juszczak E, Ni Mhurchu C, Winstone N, Shepherd R, Timotijevic L, Rayner M. A Pilot Randomized Controlled Trial of a Digital Intervention Aimed at Improving Food Purchasing Behavior: The Front-of-Pack Food Labels Impact on Consumer Choice Study. JMIR Formative Research 2019;3(2):e9910 View
  48. Short C, Rebar A, James E, Duncan M, Courneya K, Plotnikoff R, Crutzen R, Vandelanotte C. How do different delivery schedules of tailored web-based physical activity advice for breast cancer survivors influence intervention use and efficacy?. Journal of Cancer Survivorship 2017;11(1):80 View
  49. 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
  50. Rübsamen N, Akmatov M, Castell S, Karch A, Mikolajczyk R. Factors associated with attrition in a longitudinal online study: results from the HaBIDS panel. BMC Medical Research Methodology 2017;17(1) View
  51. Smith N, Liu S. A systematic review of the dose-response relationship between usage and outcomes of online physical activity weight-loss interventions. Internet Interventions 2020;22:100344 View
  52. Healey B, Hoek J, Edwards R, Shahab L. Posting Behaviour Patterns in an Online Smoking Cessation Social Network: Implications for Intervention Design and Development. PLoS ONE 2014;9(9):e106603 View
  53. van Beugen S, Ferwerda M, Hoeve D, Rovers M, Spillekom-van Koulil S, van Middendorp H, Evers A. Internet-Based Cognitive Behavioral Therapy for Patients With Chronic Somatic Conditions: A Meta-Analytic Review. Journal of Medical Internet Research 2014;16(3):e88 View
  54. Bouwman T, van Tilburg T, Aartsen M. Attrition in an Online Loneliness Intervention for Adults Aged 50 Years and Older: Survival Analysis. JMIR Aging 2019;2(2):e13638 View
  55. Dejonghe L, Rudolf K, Becker J, Stassen G, Froboese I, Schaller A. Health coaching for promoting physical activity in low back pain patients: a secondary analysis on the usage and acceptance. BMC Sports Science, Medicine and Rehabilitation 2020;12(1) View
  56. Karekla M, Kasinopoulos O, Neto D, Ebert D, Van Daele T, Nordgreen T, Höfer S, Oeverland S, Jensen K. Best Practices and Recommendations for Digital Interventions to Improve Engagement and Adherence in Chronic Illness Sufferers. European Psychologist 2019;24(1):49 View
  57. Kay M, Burroughs J, Askew S, Bennett G, Armstrong S, Steinberg D. Digital Weight Loss Intervention for Parents of Children Being Treated for Obesity: A Prospective Cohort Feasibility Trial. Journal of Medical Internet Research 2018;20(12):e11093 View
  58. Olsen P, Plourde K, Lasway C, van Praag E. Insights From a Text Messaging–Based Sexual and Reproductive Health Information Program in Tanzania (m4RH): Retrospective Analysis. JMIR mHealth and uHealth 2018;6(11):e10190 View
  59. Metse A, Hizam N, Wiggers J, Wye P, Bowman J. Factors associated with retention in a smoking cessation trial for persons with a mental illness: a descriptive study. BMC Medical Research Methodology 2018;18(1) View
  60. Alkhaldi G, Hamilton F, Lau R, Webster R, Michie S, Murray E. The Effectiveness of Technology-Based Strategies to Promote Engagement With Digital Interventions: A Systematic Review Protocol. JMIR Research Protocols 2015;4(2):e47 View
  61. Muench F, van Stolk-Cooke K, Morgenstern J, Kuerbis A, Markle K. Understanding Messaging Preferences to Inform Development of Mobile Goal-Directed Behavioral Interventions. Journal of Medical Internet Research 2014;16(2):e14 View
  62. 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
  63. Mihuta M, Green H. The implementation of web-based cognitive rehabilitation in adult cancer survivors: examining participant engagement, attrition and treatment fidelity. Supportive Care in Cancer 2018;26(2):499 View
  64. Taki S, Lymer S, Russell C, Campbell K, Laws R, Ong K, Elliott R, Denney-Wilson E. Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index. JMIR mHealth and uHealth 2017;5(6):e89 View
  65. Flood-Grady E, Neil J, Paige S, Lee D, Damiani R, Hough D, Savitsky Z, George T, Krieger J. A Pilot Study Determining Comprehension and the Acceptability of a Cancer Research Study Website for Cancer Patients and Caregivers. Journal of Cancer Education 2020;35(3):589 View
  66. Sypes E, Racey M, Albabish W, Newton G. Characterization of Website use Associated with the WhyDairy? School-based Nutrition Education Intervention. The Open Nutrition Journal 2018;12(1):30 View
  67. 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
  68. Lane T, Armin J, Gordon J. Online Recruitment Methods for Web-Based and Mobile Health Studies: A Review of the Literature. Journal of Medical Internet Research 2015;17(7):e183 View
  69. Perski O, Blandford A, Garnett C, Crane D, West R, Michie S. A self-report measure of engagement with digital behavior change interventions (DBCIs): development and psychometric evaluation of the “DBCI Engagement Scale”. Translational Behavioral Medicine 2019 View
  70. Bright F, Kayes N, Worrall L, McPherson K. A conceptual review of engagement in healthcare and rehabilitation. Disability and Rehabilitation 2015;37(8):643 View
  71. Sharpe E, Karasouli E, Meyer C. Examining Factors of Engagement With Digital Interventions for Weight Management: Rapid Review. JMIR Research Protocols 2017;6(10):e205 View
  72. Robinson H, Appelbe D, Dodd S, Flowers S, Johnson S, Jones S, Mateus C, Mezes B, Murray E, Rainford N, Rosala-Hallas A, Walker A, Williamson P, Lobban F. Methodological Challenges in Web-Based Trials: Update and Insights From the Relatives Education and Coping Toolkit Trial. JMIR Mental Health 2020;7(7):e15878 View
  73. Bonett S, Connochie D, Golinkoff J, Horvath K, Bauermeister J. Paradata Analysis of an eHealth HIV Testing Intervention for Young Men Who Have Sex With Men. AIDS Education and Prevention 2018;30(5):434 View
  74. 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
  75. Yeager C, Shoji K, Luszczynska A, Benight C. Engagement With a Trauma Recovery Internet Intervention Explained With the Health Action Process Approach (HAPA): Longitudinal Study. JMIR Mental Health 2018;5(2):e29 View
  76. Hors-Fraile S, Schneider F, Fernandez-Luque L, Luna-Perejon F, Civit A, Spachos D, Bamidis P, de Vries H. Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol. BMC Public Health 2018;18(1) View
  77. Hors-Fraile S, Rivera-Romero O, Schneider F, Fernandez-Luque L, Luna-Perejon F, Civit-Balcells A, de Vries H. Analyzing recommender systems for health promotion using a multidisciplinary taxonomy: A scoping review. International Journal of Medical Informatics 2018;114:143 View
  78. 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
  79. Myers N, Prilleltensky I, Prilleltensky O, McMahon A, Dietz S, Rubenstein C. Efficacy of the Fun For Wellness Online Intervention to Promote Multidimensional Well-Being: a Randomized Controlled Trial. Prevention Science 2017;18(8):984 View
  80. 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
  81. Graham A, Papandonatos G, Cha S, Erar B, Amato M. Improving Adherence to Smoking Cessation Treatment: Smoking Outcomes in a Web-based Randomized Trial. Annals of Behavioral Medicine 2018;52(4):331 View
  82. van Beugen S, van Middendorp H, van der Vaart R, Ferwerda M, Evers A. eHealth cognitieve gedragstherapie voor patiënten met chronische somatische aandoeningen. Tijdschrift voor gezondheidswetenschappen 2015;93(2):68 View
  83. Poirier J, Cobb N. Social Influence as a Driver of Engagement in a Web-Based Health Intervention. Journal of Medical Internet Research 2012;14(1):e36 View
  84. 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
  85. Donkin L, Hickie I, Christensen H, Naismith S, Neal B, Cockayne N, Glozier N. Rethinking the Dose-Response Relationship Between Usage and Outcome in an Online Intervention for Depression: Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(10):e231 View
  86. 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
  87. Sze Y, Stein J, Bickel W, Paluch R, Epstein L. Bleak Present, Bright Future: Online Episodic Future Thinking, Scarcity, Delay Discounting, and Food Demand. Clinical Psychological Science 2017;5(4):683 View
  88. Murray E. Web-Based Interventions for Behavior Change and Self-Management: Potential, Pitfalls, and Progress. Medicine 2.0 2012;1(2):e3 View
  89. Mohr D, Burns M, Schueller S, Clarke G, Klinkman M. Behavioral Intervention Technologies: Evidence review and recommendations for future research in mental health. General Hospital Psychiatry 2013;35(4):332 View
  90. Lau A, Dunn A, Mortimer N, Gallagher A, Proudfoot J, Andrews A, Liaw S, Crimmins J, Arguel A, Coiera E. Social and Self-Reflective Use of a Web-Based Personally Controlled Health Management System. Journal of Medical Internet Research 2013;15(9):e211 View
  91. Huan Xu R, Wong E. Citation Classics in Patient Engagement Research: An Analysis of the 50 Most Cited Articles. Open Journal of Nursing 2017;07(06):630 View
  92. 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
  93. Apolinário-Hagen J, Hennemann S, Fritsche L, Drüge M, Breil B. Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study. JMIR Mental Health 2019;6(11):e15373 View
  94. 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;4:205520761774335 View
  95. Merchant G, Weibel N, Patrick K, Fowler J, Norman G, Gupta A, Servetas C, Calfas K, Raste K, Pina L, Donohue M, Griswold W, Marshall S. Click “Like” to Change Your Behavior: A Mixed Methods Study of College Students’ Exposure to and Engagement With Facebook Content Designed for Weight Loss. Journal of Medical Internet Research 2014;16(6):e158 View
  96. Jaffe A, Bountress K, Metzger I, Maples-Keller J, Pinsky H, George W, Gilmore A. Student engagement and comfort during a web-based personalized feedback intervention for alcohol and sexual assault. Addictive Behaviors 2018;82:23 View
  97. Ashton L, Rollo M, Adam M, Burrows T, Shrewsbury V, Collins C. Process Evaluation of the ‘No Money No Time’ Healthy Eating Website Promoted Using Social Marketing Principles. A Case Study. International Journal of Environmental Research and Public Health 2021;18(7):3589 View
  98. Wong H, Lo B, Shi J, Hollenberg E, Abi-Jaoude A, Johnson A, Chaim G, Cleverley K, Henderson J, Levinson A, Robb J, Voineskos A, Wiljer D. Postsecondary Student Engagement With a Mental Health App and Online Platform (Thought Spot): Qualitative Study of User Experience. JMIR Mental Health 2021;8(4):e23447 View
  99. Shams F, Wong J, Nikoo M, Outadi A, Moazen-Zadeh E, Kamel M, Song M, Jang K, Krausz R. Understanding eHealth Cognitive Behavioral Therapy Targeting Substance Use: Realist Review. Journal of Medical Internet Research 2021;23(1):e20557 View
  100. Solar C, Halat A, MacLean R, Rajeevan H, Williams D, Krein S, Heapy A, Bair M, Kerns R, Higgins D. Predictors of engagement in an internet-based cognitive behavioral therapy program for veterans with chronic low back pain. Translational Behavioral Medicine 2021;11(6):1274 View
  101. Zeng Y, Guo Y, Li L, Hong Y, Li Y, Zhu M, Zeng C, Zhang H, Cai W, Liu C, Wu S, Chi P, Monroe-Wise A, Hao Y, Ho R. Relationship Between Patient Engagement and Depressive Symptoms Among People Living With HIV in a Mobile Health Intervention: Secondary Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(10):e20847 View
  102. Sanatkar S, Heinsch M, Baldwin P, Rubin M, Geddes J, Hunt S, Baker A, Woodcock K, Lewin T, Brady K, Deady M, Thornton L, Teesson M, Kay-Lambkin F. Factors Predicting Trial Engagement, Treatment Satisfaction, and Health-Related Quality of Life During a Web-Based Treatment and Social Networking Trial for Binge Drinking and Depression in Young Adults: Secondary Analysis of a Randomized Controlled Trial. JMIR Mental Health 2021;8(6):e23986 View
  103. Esmaeilzadeh P, Dharanikota S, Mirzaei T. The role of patient engagement in patient-centric health information exchange (HIE) initiatives: an empirical study in the United States. Information Technology & People 2021;ahead-of-print(ahead-of-print) View
  104. Scarpa M, Prilletensky I, McMahon A, Myers N, Prilleltensky O, Lee S, Pfeiffer K, Bateman A, Brincks A. Is Fun For Wellness Engaging? Evaluation of User Experience of an Online Intervention to Promote Well-Being and Physical Activity. Frontiers in Computer Science 2021;3 View
  105. González-Robles A, Suso-Ribera C, Díaz-García A, García-Palacios A, Castilla D, Botella C. Predicting response to transdiagnostic iCBT for emotional disorders from patient and therapist involvement. Internet Interventions 2021;25:100420 View
  106. Pócs D, Adamovits O, Watti J, Kovács R, Kelemen O. Facebook Users’ Interactions, Organic Reach, and Engagement in a Smoking Cessation Intervention: Content Analysis. Journal of Medical Internet Research 2021;23(6):e27853 View

Books/Policy Documents

  1. Farmer A, Pal K. Diabetes. Epidemiology, Genetics, Pathogenesis, Diagnosis, Prevention, and Treatment. View
  2. Farmer A, Pal K. Diabetes Epidemiology, Genetics, Pathogenesis, Diagnosis, Prevention, and Treatment. View
  3. Kelders S, van Gemert-Pijnen J. Persuasive Technology. View
  4. Ensari I, Elhadad N. Digital Health. View