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

Web-based and Mobile Health Interventions (3128) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (461)
The Role of Engagement in a Tailored Web-Based Smoking Cessation Program: Randomized Controlled Trial

The Role of Engagement in a Tailored Web-Based Smoking Cessation Program: Randomized Controlled Trial

The Role of Engagement in a Tailored Web-Based Smoking Cessation Program: Randomized Controlled Trial

Authors of this article:

Victor Strecher ;   Jennifer McClure Author Orcid Image ;   Gwen Alexander ;   Bibhas Chakraborty ;   Vijay Nair ;   Janine Konkel ;   Sarah Greene ;   Mick Couper Author Orcid Image ;   Carola Carlier ;   Cheryl Wiese ;   Roderick Little ;   Cynthia Pomerleau ;   Ovide Pomerleau
Article Authors Cited by (191) Tweetations (2) Metrics

Journals

  1. Lillevoll K, Vangberg H, Griffiths K, Waterloo K, Eisemann M. Uptake and adherence of a self-directed internet-based mental health intervention with tailored e-mail reminders in senior high schools in Norway. BMC Psychiatry 2014;14(1) View
  2. Schneider F, Schulz D, Pouwels L, de Vries H, van Osch L. The use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention. BMC Public Health 2013;13(1) View
  3. Meacham M, Liang O, Zhao M, Yang C, Thrul J, Ramo D. Connectedness Based on Shared Engagement Predicts Remote Biochemically Verified Quit Status Within Smoking Cessation Treatment Groups on Facebook. Nicotine & Tobacco Research 2021;23(1):71 View
  4. Bailey J, Webster R, Hunter R, Griffin M, Freemantle N, Rait G, Estcourt C, Michie S, Anderson J, Stephenson J, Gerressu M, Ang C, Murray E. The Men’s Safer Sex project: intervention development and feasibility randomised controlled trial of an interactive digital intervention to increase condom use in men. Health Technology Assessment 2016;20(91):1 View
  5. Nash C, Vickerman K, Kellogg E, Zbikowski S. Utilization of a Web-Based vs Integrated Phone/Web Cessation Program Among 140,000 Tobacco Users: An Evaluation Across 10 Free State Quitlines. Journal of Medical Internet Research 2015;17(2):e36 View
  6. Danaher B, Severson H, Crowley R, van Meter N, Tyler M, Widdop C, Lichtenstein E, Ebbert J. Randomized controlled trial examining the adjunctive use of nicotine lozenges with MyLastDip: An eHealth smokeless tobacco cessation intervention. Internet Interventions 2015;2(1):69 View
  7. Kales H, Gitlin L, Stanislawski B, Marx K, Turnwald M, Watkins D, Lyketsos C. WeCareAdvisor™. Alzheimer Disease & Associated Disorders 2017;31(3):263 View
  8. Hesse B, Hanna C, Massett H, Hesse N. Outside the Box: Will Information Technology Be a Viable Intervention to Improve the Quality of Cancer Care?. JNCI Monographs 2010;2010(40):81 View
  9. Morrison L, Moss‐Morris R, Michie S, Yardley L. Optimizing engagement with Internet‐based health behaviour change interventions: Comparison of self‐assessment with and without tailored feedback using a mixed methods approach. British Journal of Health Psychology 2014;19(4):839 View
  10. Spears C, Abroms L, Glass C, Hedeker D, Eriksen M, Cottrell-Daniels C, Tran B, Wetter D. Mindfulness-Based Smoking Cessation Enhanced With Mobile Technology (iQuit Mindfully): Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(6):e13059 View
  11. 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
  12. Bricker J, Sridharan V, Zhu Y, Mull K, Heffner J, Watson N, McClure J, Di C. Trajectories of 12-Month Usage Patterns for Two Smoking Cessation Websites: Exploring How Users Engage Over Time. Journal of Medical Internet Research 2018;20(4):e10143 View
  13. Poudel K, Poudel-Tandukar K, Pandey B, Letson E, Palmer P. A brief tobacco dependence intervention for people living with HIV in Nepal: results of a quasi-experimental study. Journal of Smoking Cessation 2019;14(4):221 View
  14. Hasson H, Brown C, Hasson D. Factors associated with high use of a workplace web-based stress management program in a randomized controlled intervention study. Health Education Research 2010;25(4):596 View
  15. Brouwer W, Kroeze W, Crutzen R, de Nooijer J, de Vries N, Brug J, Oenema A. Which Intervention Characteristics are Related to More Exposure to Internet-Delivered Healthy Lifestyle Promotion Interventions? A Systematic Review. Journal of Medical Internet Research 2011;13(1):e2 View
  16. Coley H, Sadasivam R, Williams J, Volkman J, Schoenberger Y, Kohler C, Sobko H, Ray M, Allison J, Ford D, Gilbert G, Houston T. Crowdsourced Peer- Versus Expert-Written Smoking-Cessation Messages. American Journal of Preventive Medicine 2013;45(5):543 View
  17. Veinot T, Mitchell H, Ancker J. Good intentions are not enough: how informatics interventions can worsen inequality. Journal of the American Medical Informatics Association 2018;25(8):1080 View
  18. Muñoz R, Barrera A, Delucchi K, Penilla C, Torres L, Pérez-Stable E. International Spanish/English Internet smoking cessation trial yields 20% abstinence rates at 1 year. Nicotine & Tobacco Research 2009;11(9):1025 View
  19. Habibović M, Cuijpers P, Alings M, van der Voort P, Theuns D, Bouwels L, Herrman J, Valk S, Pedersen S. Attrition and Adherence in a Web-Based Distress Management Program for Implantable Cardioverter Defibrillator Patients (WEBCARE): Randomized Controlled Trial. Journal of Medical Internet Research 2014;16(2):e52 View
  20. Beatty L, Kemp E, Binnion C, Turner J, Milne D, Butow P, Lambert S, Yates P, Yip D, Koczwara B. Uptake and adherence to an online intervention for cancer-related distress: older age is not a barrier to adherence but may be a barrier to uptake. Supportive Care in Cancer 2017;25(6):1905 View
  21. Lenoir P, Moulahi B, Azé J, Bringay S, Mercier G, Carbonnel F. Raising Awareness About Cervical Cancer Using Twitter: Content Analysis of the 2015 #SmearForSmear Campaign. Journal of Medical Internet Research 2017;19(10):e344 View
  22. 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
  23. Williams D, Rhodes R. The confounded self-efficacy construct: conceptual analysis and recommendations for future research. Health Psychology Review 2016;10(2):113 View
  24. Brandt C, Dalum P, Thomsen T. “I miss the care even though I know it’s just a machine”: An explorative study of the relationship between an Internet-based smoking cessation intervention and its participants. Health Informatics Journal 2013;19(3):233 View
  25. 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
  26. 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
  27. Saul J, Amato M, Cha S, Graham A. Engagement and attrition in Internet smoking cessation interventions: Insights from a cross-sectional survey of “one-hit-wonders”. Internet Interventions 2016;5:23 View
  28. Westmaas J, Bontemps-Jones J, Hendricks P, Kim J, Abroms L. Randomised controlled trial of stand-alone tailored emails for smoking cessation. Tobacco Control 2018;27(2):136 View
  29. Ray M, Funkhouser E, Williams J, Sadasivam R, Gilbert G, Coley H, Rindal D, Houston T. Smoking-Cessation e-Referrals. American Journal of Preventive Medicine 2014;46(2):158 View
  30. Thrul J, Klein A, Ramo D. Smoking Cessation Intervention on Facebook: Which Content Generates the Best Engagement?. Journal of Medical Internet Research 2015;17(11):e244 View
  31. Zarski A, Lehr D, Berking M, Riper H, Cuijpers P, Ebert D. Adherence to Internet-Based Mobile-Supported Stress Management: A Pooled Analysis of Individual Participant Data From Three Randomized Controlled Trials. Journal of Medical Internet Research 2016;18(6):e146 View
  32. Reinwand D, Crutzen R, Elfeddali I, Schneider F, Schulz D, Stanczyk N, Tange H, Voncken-Brewster V, Walthouwer M, Hoving C, de Vries H. Impact of Educational Level on Study Attrition and Evaluation of Web-Based Computer-Tailored Interventions: Results From Seven Randomized Controlled Trials. Journal of Medical Internet Research 2015;17(10):e228 View
  33. Coumans J, Bolman C, Oenema A, Lechner L. Predictors of Self-Determined Module Choice in a Web-Based Computer-Tailored Diet and Physical Activity Intervention: Secondary Analysis of Data From a Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(7):e15024 View
  34. Wang X, Zhao K, Cha S, Amato M, Cohn A, Pearson J, Papandonatos G, Graham A. Mining user-generated content in an online smoking cessation community to identify smoking status: A machine learning approach. Decision Support Systems 2019;116:26 View
  35. Donkin L, Christensen H, Naismith S, Neal B, Hickie I, Glozier N. A Systematic Review of the Impact of Adherence on the Effectiveness of e-Therapies. Journal of Medical Internet Research 2011;13(3):e52 View
  36. Xu Z. How emergency managers engage Twitter users during disasters. Online Information Review 2020;44(4):933 View
  37. Milward J, Deluca P, Drummond C, Watson R, Dunne J, Kimergård A. Usability Testing of the BRANCH Smartphone App Designed to Reduce Harmful Drinking in Young Adults. JMIR mHealth and uHealth 2017;5(8):e109 View
  38. Owen D, Griffith N, Hutchings J. Evaluation of the COPING parent online universal programme: study protocol for a pilot randomised controlled trial. BMJ Open 2017;7(4):e013381 View
  39. Marshall T, Champagne-Langabeer T, Castelli D, Hoelscher D. Cognitive computing and eScience in health and life science research: artificial intelligence and obesity intervention programs. Health Information Science and Systems 2017;5(1) View
  40. 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
  41. 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
  42. Cunningham J, Hodgins D, Keough M, Hendershot C, Bennett K, Bennett A, Godinho A. Online interventions for problem gamblers with and without co-occurring problem drinking: study protocol of a randomized controlled trial. Trials 2018;19(1) View
  43. 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
  44. Sadasivam R, Kinney R, Delaughter K, Rao S, Williams J, Coley H, Ray M, Gilbert G, Allison J, Ford D, Houston T. Who Participates in Web-Assisted Tobacco Interventions? The Quit-Primo and National Dental Practice-Based Research Network Hi-Quit Studies. Journal of Medical Internet Research 2013;15(5):e77 View
  45. Van der Mispel C, Poppe L, Crombez G, Verloigne M, De Bourdeaudhuij I. A Self-Regulation-Based eHealth Intervention to Promote a Healthy Lifestyle: Investigating User and Website Characteristics Related to Attrition. Journal of Medical Internet Research 2017;19(7):e241 View
  46. Gitlin L, Kales H, Marx K, Stanislawski B, Lyketsos C. A randomized trial of a web-based platform to help families manage dementia-related behavioral symptoms: The WeCareAdvisor™. Contemporary Clinical Trials 2017;62:27 View
  47. Madhavan S, Sanders A, Chou W, Shuster A, Boone K, Dente M, Shad A, Hesse B. Pediatric Palliative Care and eHealth. American Journal of Preventive Medicine 2011;40(5):S208 View
  48. Jones R. Handheld Computers to Run ACASI to Assess HIV Risk and Deliver Tailored Soap Opera Video Feedback: Acceptability Among Young Adult Urban Women. Journal of the Association of Nurses in AIDS Care 2012;23(3):260 View
  49. Hirakis E, Casey L, Clough B. Investigating Website Usability: Enhancing Engagement of Amphetamine Users in Online Treatment. International Journal of Mental Health and Addiction 2018;16(2):420 View
  50. Bourne C, Chaplin E, Chantrell S, Singh S, Apps L. Experiences of individuals using a novel web-based rehabilitation programme: Self-management Programme of Activity Coping and Education (SPACE) for chronic obstructive pulmonary disease. International Journal of Therapy and Rehabilitation 2020;27(6):1 View
  51. 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
  52. Chakraborty B, Maiti R, Strecher V. The Effectiveness of Web-Based Tailored Smoking Cessation Interventions on the Quitting Process (Project Quit): Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research 2018;20(6):e213 View
  53. Stanczyk N, Crutzen R, Bolman C, Muris J, de Vries H. Influence of Delivery Strategy on Message-Processing Mechanisms and Future Adherence to a Dutch Computer-Tailored Smoking Cessation Intervention. Journal of Medical Internet Research 2013;15(2):e28 View
  54. Selby P, van Mierlo T, Voci S, Parent D, Cunningham J. Online Social and Professional Support for Smokers Trying to Quit: An Exploration of First Time Posts From 2562 Members. Journal of Medical Internet Research 2010;12(3):e34 View
  55. 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
  56. Yardley L, Miller S, Schlotz W, Little P. Evaluation of a Web-Based Intervention to Promote Hand Hygiene: Exploratory Randomized Controlled Trial. Journal of Medical Internet Research 2011;13(4):e107 View
  57. Couper M, Alexander G, Zhang N, Little R, Maddy N, Nowak M, McClure J, Calvi J, Rolnick S, Stopponi M, Cole Johnson C. Engagement and Retention: Measuring Breadth and Depth of Participant Use of an Online Intervention. Journal of Medical Internet Research 2010;12(4):e52 View
  58. 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
  59. Madkins K, Moskowitz D, Moran K, Dellucci T, Mustanski B. Measuring Acceptability and Engagement of The Keep It Up! Internet-Based HIV Prevention Randomized Controlled Trial for Young Men Who Have Sex With Men. AIDS Education and Prevention 2019;31(4):287 View
  60. Xu Z, Ellis L, Umphrey L. The Easier the Better? Comparing the Readability and Engagement of Online Pro- and Anti-Vaccination Articles. Health Education & Behavior 2019;46(5):790 View
  61. Ahola R, Pyky R, Jämsä T, Mäntysaari M, Koskimäki H, Ikäheimo T, Huotari M, Röning J, Heikkinen H, Korpelainen R. Gamified physical activation of young men – a Multidisciplinary Population-Based Randomized Controlled Trial (MOPO study). BMC Public Health 2013;13(1) View
  62. 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
  63. Murray E. Web-Based Interventions for Behavior Change and Self-Management: Potential, Pitfalls, and Progress. Medicine 2.0 2012;1(2):e3 View
  64. Zeng E, Heffner J, Copeland W, Mull K, Bricker J. Get with the program: Adherence to a smartphone app for smoking cessation. Addictive Behaviors 2016;63:120 View
  65. An L, Demers M, Kirch M, Considine-Dunn S, Nair V, Dasgupta K, Narisetty N, Resnicow K, Ahluwalia J. A Randomized Trial of an Avatar-Hosted Multiple Behavior Change Intervention for Young Adult Smokers. JNCI Monographs 2013;2013(47):209 View
  66. 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
  67. White M, Ivezaj V, Grilo C. Evaluation of a web-based cognitive behavioral smoking cessation treatment for overweight/obese smokers. Journal of Health Psychology 2019;24(13):1796 View
  68. 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
  69. Cantrell J, Ilakkuvan V, Graham A, Richardson A, Xiao H, Mermelstein R, Curry S, Sporer A, Vallone D. Young Adult Utilization of a Smoking Cessation Website: An Observational Study Comparing Young and Older Adult Patterns of Use. JMIR Research Protocols 2016;5(3):e142 View
  70. Hutton H, Wilson L, Apelberg B, Avila Tang E, Odelola O, Bass E, Chander G. A Systematic Review of Randomized Controlled Trials: Web-Based Interventions for Smoking Cessation Among Adolescents, College Students, and Adults. Nicotine & Tobacco Research 2011;13(4):227 View
  71. Buscemi J, Janke E, Kugler K, Duffecy J, Mielenz T, St. George S, Sheinfeld Gorin S. Increasing the public health impact of evidence-based interventions in behavioral medicine: new approaches and future directions. Journal of Behavioral Medicine 2017;40(1):203 View
  72. 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
  73. Resnicow K, Strecher V, Couper M, Chua H, Little R, Nair V, Polk T, Atienza A. Methodologic and Design Issues in Patient-Centered e-Health Research. American Journal of Preventive Medicine 2010;38(1):98 View
  74. Voncken-Brewster V, Amoureus M, de Vries H, Nagykaldi Z, Winkens B, van der Weijden T, Tange H. The Impact of Participant Characteristics on Use and Satisfaction of a Web-Based Computer-Tailored Chronic Obstructive Pulmonary Disease Self-Management Intervention: A Process Evaluation. JMIR Formative Research 2017;1(1):e1 View
  75. Yardley L, Spring B, Riper H, Morrison L, Crane D, Curtis K, Merchant G, Naughton F, Blandford A. Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions. American Journal of Preventive Medicine 2016;51(5):833 View
  76. 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
  77. Rutten L, Blake K, Hesse B, Ackerson L. Isolated and Skeptical: Social Engagement and Trust in Information Sources Among Smokers. Journal of Cancer Education 2011;26(3):465 View
  78. Chiu T, Eysenbach G. Stages of use: consideration, initiation, utilization, and outcomes of an internet-mediated intervention. BMC Medical Informatics and Decision Making 2010;10(1) View
  79. Wiseman K, Coa K, Prutzman Y. Predictors of Retention in an Adult Text Messaging Smoking Cessation Intervention Program: Cohort Study. JMIR mHealth and uHealth 2019;7(8):e13712 View
  80. Glasgow R, Christiansen S, Kurz D, King D, Woolley T, Faber A, Estabrooks P, Strycker L, Toobert D, Dickman J. Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use. Journal of Medical Internet Research 2011;13(1):e9 View
  81. Zbikowski S, Jack L, McClure J, Deprey M, Javitz H, McAfee T, Catz S, Richards J, Bush T, Swan G. Utilization of Services in a Randomized Trial Testing Phone- and Web-Based Interventions for Smoking Cessation. Nicotine & Tobacco Research 2011;13(5):319 View
  82. 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
  83. Sexton M, Byrd M, O’Donohue W, Jacobs N. Web-based treatment for infertility-related psychological distress. Archives of Women's Mental Health 2010;13(4):347 View
  84. Portz J, LaMendola W. Participation, Retention, and Utilization of a Web-Based Chronic Disease Self-Management Intervention Among Older Adults. Telemedicine and e-Health 2019;25(2):126 View
  85. Richert J, Lippke S, Ziegelmann J. Intervention–Engagement and Its Role in the Effectiveness of Stage-Matched Interventions Promoting Physical Exercise. Research in Sports Medicine 2011;19(3):145 View
  86. Keane L, Anderson C, Perez D, Freeman B. The Development and Evaluation of Online Smoking Cessation Services: A Narrative Literature Review. Journal of Smoking Cessation 2019;14(1):12 View
  87. Leykin Y, Aguilera A, Torres L, Pérez-Stable E, Muñoz R. Interpreting the Outcomes of Automated Internet-Based Randomized Trials: Example of an International Smoking Cessation Study. Journal of Medical Internet Research 2012;14(1):e5 View
  88. Jain R, Taylor J, Peschiera G. Assessing eco-feedback interface usage and design to drive energy efficiency in buildings. Energy and Buildings 2012;48:8 View
  89. Christofferson D, Hertzberg J, Beckham J, Dennis P, Hamlett-Berry K. Engagement and abstinence among users of a smoking cessation text message program for veterans. Addictive Behaviors 2016;62:47 View
  90. Mena J, Ampadu G, Prochaska J. The Influence of Engagement and Satisfaction on Smoking Cessation Interventions: A Qualitative Study. Substance Use & Misuse 2017;52(3):322 View
  91. 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
  92. Shah A, Chaiton M, Baliunas D, Schwartz R. Tailored Web-Based Smoking Interventions and Reduced Attrition: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(10):e16255 View
  93. Smit E, de Vries H, Hoving C. Effectiveness of a Web-Based Multiple Tailored Smoking Cessation Program: A Randomized Controlled Trial Among Dutch Adult Smokers. Journal of Medical Internet Research 2012;14(3):e82 View
  94. Schulz D, Kremers S, De Vries H. Tailored eHealth Lifestyle Promotion: Which Behavioral Modules Do Users Prefer?. Journal of Health Communication 2015;20(6):663 View
  95. Bricker J, Copeland W, Mull K, Zeng E, Watson N, Akioka K, Heffner J. Single-arm trial of the second version of an acceptance & commitment therapy smartphone application for smoking cessation. Drug and Alcohol Dependence 2017;170:37 View
  96. 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
  97. Schulz D, Schneider F, de Vries H, van Osch L, van Nierop P, Kremers S. Program Completion of a Web-Based Tailored Lifestyle Intervention for Adults: Differences between a Sequential and a Simultaneous Approach. Journal of Medical Internet Research 2012;14(2):e26 View
  98. Dijkstra A. The persuasive effects of personalization through: name mentioning in a smoking cessation message. User Modeling and User-Adapted Interaction 2014;24(5):393 View
  99. 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
  100. Stanczyk N, de Vries H, Candel M, Muris J, Bolman C. Effectiveness of video- versus text-based computer-tailored smoking cessation interventions among smokers after one year. Preventive Medicine 2016;82:42 View
  101. Cartreine J, Ahern D, Locke S. A Roadmap to Computer-Based Psychotherapy in the United States. Harvard Review of Psychiatry 2010;18(2):80 View
  102. 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
  103. Freeman B, Chapman S. Measuring Interactivity on Tobacco Control Websites. Journal of Health Communication 2012;17(7):857 View
  104. Smit E, Zeidler C, Resnicow K, de Vries H. Identifying the Most Autonomy-Supportive Message Frame in Digital Health Communication: A 2x2 Between-Subjects Experiment. Journal of Medical Internet Research 2019;21(10):e14074 View
  105. 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
  106. 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
  107. Graham A, Papandonatos G, Cha S, Erar B, Amato M, Cobb N, Niaura R, Abrams D. Improving Adherence to Smoking Cessation Treatment: Intervention Effects in a Web-Based Randomized Trial. Nicotine & Tobacco Research 2016:ntw282 View
  108. 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
  109. Webster R, Gerressu M, Michie S, Estcourt C, Anderson J, Ang C, Murray E, Rait G, Stephenson J, Bailey J. Defining the Content of an Online Sexual Health Intervention: The MenSS Website. JMIR Research Protocols 2015;4(3):e82 View
  110. 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
  111. Graham A, Jacobs M, Amato M, Cha S, Bottcher M, Papandonatos G. Effectiveness of a Quit Vaping Text Message Program in Promoting Abstinence Among Young Adult E-Cigarette Users: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2020;9(5):e18327 View
  112. Weiss-Gerlach E, McCarthy W, Wellmann J, Graunke M, Spies C, Neuner B. Secondary analysis of an RCT on Emergency Department- Initiated Tobacco Control: Repeatedly assessed point-prevalence abstinence up to 12 months and extension of results through a 10-year follow-up. Tobacco Induced Diseases 2019;17(April) View
  113. 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
  114. Sadasivam R, Cutrona S, Kinney R, Marlin B, Mazor K, Lemon S, Houston T. Collective-Intelligence Recommender Systems: Advancing Computer Tailoring for Health Behavior Change Into the 21st Century. Journal of Medical Internet Research 2016;18(3):e42 View
  115. 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
  116. Lim M, Wright C, Carrotte E, Pedrana A. Reach, engagement, and effectiveness: a systematic review of evaluation methodologies used in health promotion via social networking sites. Health Promotion Journal of Australia 2016;27(3):187 View
  117. Veronese V, Ryan K, Hughes C, Lim M, Pedrana A, Stoové M. Using Digital Communication Technology to Increase HIV Testing Among Men Who Have Sex With Men and Transgender Women: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(7):e14230 View
  118. 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
  119. Daker-White G, Rogers A. What is the potential for social networks and support to enhance future telehealth interventions for people with a diagnosis of schizophrenia: a critical interpretive synthesis. BMC Psychiatry 2013;13(1) View
  120. Paz Castro R, Haug S, Filler A, Kowatsch T, Schaub M. Engagement Within a Mobile Phone–Based Smoking Cessation Intervention for Adolescents and its Association With Participant Characteristics and Outcomes. Journal of Medical Internet Research 2017;19(11):e356 View
  121. Dickinson W, Dickinson L, Jortberg B, Hessler D, Fernald D, Fisher L. A protocol for a cluster randomized trial comparing strategies for translating self-management support into primary care practices. BMC Family Practice 2018;19(1) View
  122. Holter M, Johansen A, Ness O, Brinkmann S, Høybye M, Brendryen H. Qualitative Interview Studies of Working Mechanisms in Electronic Health: Tools to Enhance Study Quality. Journal of Medical Internet Research 2019;21(5):e10354 View
  123. Kales H, Gitlin L, Stanislawski B, Myra Kim H, Marx K, Turnwald M, Chiang C, Lyketsos C. Effect of the WeCareAdvisor™ on family caregiver outcomes in dementia: a pilot randomized controlled trial. BMC Geriatrics 2018;18(1) View
  124. Klein A, Slaymaker V, Dugosh K, McKay J. Computerized continuing care support for alcohol and drug dependence: A preliminary analysis of usage and outcomes. Journal of Substance Abuse Treatment 2012;42(1):25 View
  125. 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
  126. Lehto T, Oinas-Kukkonen H. Persuasive Features in Web-Based Alcohol and Smoking Interventions: A Systematic Review of the Literature. Journal of Medical Internet Research 2011;13(3):e46 View
  127. Dallery J, Raiff B, Kim S, Marsch L, Stitzer M, Grabinski M. Nationwide access to an internet‐based contingency management intervention to promote smoking cessation: a randomized controlled trial. Addiction 2017;112(5):875 View
  128. Newman M, Szkodny L, Llera S, Przeworski A. A review of technology-assisted self-help and minimal contact therapies for drug and alcohol abuse and smoking addiction: Is human contact necessary for therapeutic efficacy?. Clinical Psychology Review 2011;31(1):178 View
  129. Lippke S, Corbet J, Lange D, Parschau L, Schwarzer R. Intervention Engagement Moderates the Dose–Response Relationships in a Dietary Intervention. Dose-Response 2016;14(1):155932581663751 View
  130. Jamison J, Naughton F, Gilbert H, Sutton S. Delivering Smoking Cessation Support by Mobile Phone Text Message: What Information do Smokers Want? A Focus Group Study. Journal of Applied Biobehavioral Research 2013;18(1):1 View
  131. Veale H, Sacks-Davis R, Weaver E, Pedrana A, Stoové M, Hellard M. The use of social networking platforms for sexual health promotion: identifying key strategies for successful user engagement. BMC Public Health 2015;15(1) View
  132. Xu Z. I don’t understand you but I trust you: using computer-aided text analysis to examine medical terminology use and engagement of vaccine online articles. Journal of Communication in Healthcare 2021;14(1):61 View
  133. Herbec A, Beard E, Brown J, Gardner B, Tombor I, West R. The needs and preferences of pregnant smokers regarding tailored Internet-based smoking cessation interventions: a qualitative interview study. BMC Public Health 2014;14(1) View
  134. 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
  135. Cremers H, Mercken L, Crutzen R, Willems P, de Vries H, Oenema A. Do Email and Mobile Phone Prompts Stimulate Primary School Children to Reuse an Internet-Delivered Smoking Prevention Intervention?. Journal of Medical Internet Research 2014;16(3):e86 View
  136. Watson N, Heffner J, Mull K, McClure J, Bricker J. Comparing Treatment Acceptability and 12-Month Cessation Rates in Response to Web-Based Smoking Interventions Among Smokers Who Do and Do Not Screen Positive for Affective Disorders: Secondary Analysis. Journal of Medical Internet Research 2019;21(6):e13500 View
  137. Perski O, Blandford A, Ubhi H, West R, Michie S. Smokers’ and drinkers’ choice of smartphone applications and expectations of engagement: a think aloud and interview study. BMC Medical Informatics and Decision Making 2017;17(1) View
  138. Bender B, Aloia M, Rankin A, Wamboldt F. Translational Behavioral Research in Respiratory Medicine. Chest 2011;139(6):1279 View
  139. Graham A, Papandonatos G, Cobb C, Cobb N, Niaura R, Abrams D, Tinkelman D. Internet and Telephone Treatment for Smoking Cessation: Mediators and Moderators of Short-Term Abstinence. Nicotine & Tobacco Research 2015;17(3):299 View
  140. Hutchings J, Owen D, Williams M. Web-Based Parenting Support: Development of the COPING Confident Parenting Programme. Education Sciences 2018;8(2):59 View
  141. Hughes M, McCulloch E, Valdes E. The Impact of Story-Based Video Back Injury Prevention Training on Employee Motivation, Engagement, Knowledge, and Behavior. Occupational Health Science 2018;2(2):203 View
  142. Harris J, Ciorciari J, Gountas J. Consumer Neuroscience and Digital/Social Media Health/Social Cause Advertisement Effectiveness. Behavioral Sciences 2019;9(4):42 View
  143. Stanczyk N, Bolman C, van Adrichem M, Candel M, Muris J, de Vries H. Comparison of Text and Video Computer-Tailored Interventions for Smoking Cessation: Randomized Controlled Trial. Journal of Medical Internet Research 2014;16(3):e69 View
  144. Beatty L, Binnion C. A Systematic Review of Predictors of, and Reasons for, Adherence to Online Psychological Interventions. International Journal of Behavioral Medicine 2016;23(6):776 View
  145. Zeng E, Vilardaga R, Heffner J, Mull K, Bricker J. Predictors of Utilization of a Novel Smoking Cessation Smartphone App. Telemedicine and e-Health 2015;21(12):998 View
  146. Deetlefs A, Chalmers J, Tindall K, Wiryakusuma-McLeod C, Bennett S, Hay I, Humphries J, Eady M, Cronin L, Rudd K. Applying behavioral insights to increase rural and remote internships: Results from two Randomized Controlled Trials. Journal of Behavioral and Experimental Economics 2021;92:101664 View
  147. Hind D, Drabble S, Arden M, Mandefield L, Waterhouse S, Maguire C, Cantrill H, Robinson L, Beever D, Scott A, Keating S, Hutchings M, Bradley J, Nightingale J, Allenby M, Dewar J, Whelan P, Ainsworth J, Walters S, Wildman M, O'Cathain A. Feasibility study for supporting medication adherence for adults with cystic fibrosis: mixed-methods process evaluation. BMJ Open 2020;10(10):e039089 View
  148. Dekkers T, Melles M, Vehmeijer S, de Ridder H. Effects of Information Architecture on the Effectiveness and User Experience of Web-Based Patient Education in Middle-Aged and Older Adults: Online Randomized Experiment. Journal of Medical Internet Research 2021;23(3):e15846 View
  149. Gowarty M, Longacre M, Vilardaga R, Kung N, Gaughan-Maher A, Brunette M. Usability and Acceptability of Two Smartphone Apps for Smoking Cessation Among Young Adults With Serious Mental Illness: Mixed Methods Study. JMIR Mental Health 2021;8(7):e26873 View
  150. Nagawa C, Faro J, Menon A, Ito Fukunaga M, Williams J, Mourao D, Emidio O, Davis M, Pbert L, Cutrona S, Houston T, Sadasivam R. Written Advice Given by African American Smokers to Their Peers: Qualitative Study of Motivational Messages. JMIR Formative Research 2021;5(4):e21481 View
  151. Williamson A, Barbarin A, Campbell B, Campbell T, Franzen S, Reischl T, Zimmerman M, Veinot T. Uptake of and Engagement With an Online Sexual Health Intervention (HOPE eIntervention) Among African American Young Adults: Mixed Methods Study. Journal of Medical Internet Research 2021;23(7):e22203 View
  152. Merkouris S, Loram G, Abdelrazek M, Rodda S, Ibrahim A, Bonti A, Dowling N. Improving the user experience of a gambling support and education website using a chatbot. Universal Access in the Information Society 2024;23(1):213 View
  153. Coumans J, Oenema A, Bolman C, Lechner L. Use and Appreciation of a Web-Based, Computer-Tailored Diet and Physical Activity Intervention Based on the Self-determination Theory: Evaluation Study of Process and Predictors. JMIR Formative Research 2021;5(12):e22390 View
  154. Borghouts J, Neary M, Palomares K, De Leon C, Schueller S, Schneider M, Stadnick N, Mukamel D, Sorkin D, Brown D, McCleerey-Hooper S, Moriarty G, Eikey E. Understanding the Potential of Mental Health Apps to Address Mental Health Needs of the Deaf and Hard of Hearing Community: Mixed Methods Study. JMIR Human Factors 2022;9(2):e35641 View
  155. He L, Balaji D, Wiers R, Antheunis M, Krahmer E. Effectiveness and Acceptability of Conversational Agents for Smoking Cessation: A Systematic Review and Meta-analysis. Nicotine and Tobacco Research 2023;25(7):1241 View
  156. Chen J, Houston T, Faro J, Nagawa C, Orvek E, Blok A, Allison J, Person S, Smith B, Sadasivam R. Evaluating the use of a recommender system for selecting optimal messages for smoking cessation: patterns and effects of user-system engagement. BMC Public Health 2021;21(1) View
  157. Bijkerk L, Oenema A, Geschwind N, Spigt M. Measuring Engagement with Mental Health and Behavior Change Interventions: an Integrative Review of Methods and Instruments. International Journal of Behavioral Medicine 2023;30(2):155 View
  158. Boucher E, Ward H, Mounts A, Parks A. Engagement in Digital Mental Health Interventions: Can Monetary Incentives Help?. Frontiers in Psychology 2021;12 View
  159. Olamijuwon E, Clifford O, Adjiwanou V. Understanding how young African adults interact with peer-generated sexual health information on Facebook and uncovering strategies for successful organic engagement. BMC Public Health 2021;21(1) View
  160. Chichester Z, Jewell M, LePrevost C, Lee J. The Cost of Diversity: An Analysis of Representation and Cost Barriers in Stock Photo Libraries for Health Education Materials, 2021. Health Promotion Practice 2024;25(3):346 View
  161. Borawska A, Borawski M, Łatuszyńska M. Effectiveness of Electricity-Saving Communication Campaigns: Neurophysiological Approach. Energies 2022;15(4):1263 View
  162. Alphonse A, Stewart K, Brown J, Perski O. Exploring Users’ Experiences With a Quick-Response Chatbot Within a Popular Smoking Cessation Smartphone App: Semistructured Interview Study. JMIR Formative Research 2022;6(7):e36869 View
  163. Ramadurai R, Beckham E, McHugh R, Björgvinsson T, Beard C. Operationalizing Engagement With an Interpretation Bias Smartphone App Intervention: Case Series. JMIR Mental Health 2022;9(8):e33545 View
  164. Nicolaidou I, Aristeidis L, Lambrinos L. A gamified app for supporting undergraduate students’ mental health: A feasibility and usability study. DIGITAL HEALTH 2022;8:205520762211090 View
  165. Wen S, Wiers R, Boffo M, Grasman R, Pronk T, Larsen H. Subtypes of smokers in a randomized controlled trial of a web-based smoking cessation program and their role in predicting intervention non-usage attrition: Implications for the development of tailored interventions. Internet Interventions 2021;26:100473 View
  166. Bricker J, Mull K, Santiago-Torres M, Miao Z, Perski O, Di C. Smoking Cessation Smartphone App Use Over Time: Predicting 12-Month Cessation Outcomes in a 2-Arm Randomized Trial. Journal of Medical Internet Research 2022;24(8):e39208 View
  167. Greenwell K, Sivyer K, Howells L, Steele M, Ridd M, Roberts A, Ahmed A, Lawton S, Langan S, Hooper J, Wilczynska S, Leighton P, Griffiths G, Sach T, Little P, Williams H, Thomas K, Yardley L, Santer M, Muller I. ‘Eczema shouldn’t control you; you should control eczema’: qualitative process evaluation of online behavioural interventions to support young people and parents/carers of children with eczema. British Journal of Dermatology 2023;188(4):506 View
  168. Mehrmann L, Gerlach A. The Challenge for Successful Self-Help: Side Effects of Discontinuing an Internet-Based Program for Skin Picking Disorder. Cognitive Therapy and Research 2024;48(1):39 View
  169. Mansour M, Busschers W, Crone M, van Asselt K, van Weert H, Chavannes N, Meijer E. Use of the Smoking Cessation App Ex-Smokers iCoach and Associations With Smoking-Related Outcomes Over Time in a Large Sample of European Smokers: Retrospective Observational Study. Journal of Medical Internet Research 2023;25:e45223 View
  170. Kwon S, Lee H, Park S, Heo Y, Lee K, Kang Y. ‘Um, so like, is this how I speak?’: design implications for automated visual feedback systems on speech. Behaviour & Information Technology 2023:1 View
  171. Sharma P, Tranby B, Kamath C, Brockman T, Roche A, Hammond C, Brewer L, Sinicrope P, Lenhart N, Quade B, Abuan N, Halom M, Staples J, Patten C. A Christian Faith-Based Facebook Intervention for Smoking Cessation in Rural Communities (FAITH-CORE): Protocol for a Community Participatory Development Study. JMIR Research Protocols 2023;12:e52398 View
  172. van Beurden S, Greaves C, Abraham C, Lawrence N, Smith J. “It helps me to stay on the right path, rather than give in”: Mixed-method process evaluation of the ImpulsePal app-based intervention for weight management. DIGITAL HEALTH 2023;9 View
  173. Sweileh W. Technology-based interventions for tobacco smoking prevention and treatment: a 20-year bibliometric analysis (2003–2022). Substance Abuse Treatment, Prevention, and Policy 2024;19(1) View
  174. Andree R, Mujcic A, den Hollander W, van Laar M, Boon B, Engels R, Blankers M. Digital Smoking Cessation Intervention for Cancer Survivors: Analysis of Predictors and Moderators of Engagement and Outcome Alongside a Randomized Controlled Trial. JMIR Cancer 2024;10:e46303 View
  175. Bijkerk L, Spigt M, Oenema A, Geschwind N. Engagement with mental health and health behavior change interventions: An integrative review of key concepts. Journal of Contextual Behavioral Science 2024;32:100748 View
  176. Chaplin E, Hewitt S, Apps L, Bankart J, Pulikottil-Jacob R, Boyce S, Morgan M, Williams J, Singh S. Interactive web-based pulmonary rehabilitation programme: a randomised controlled feasibility trial. BMJ Open 2017;7(3):e013682 View
  177. Huang S, Wahlquist A, Dahne J. Individual Predictors of Response to A Behavioral Activation-Based Digital Smoking Cessation Intervention: A Machine Learning Approach. Substance Use & Misuse 2024:1 View
  178. Rosa D, Peverelli M, Poliani A, Villa G, Manara D. Exploring Hypertension Patient Engagement Using mHealth. A Scoping Review. High Blood Pressure & Cardiovascular Prevention 2024 View
  179. Li Y, Luk T, Cheung Y, Zhao S, Zeng Y, Tong H, Lai V, Wang M. Engagement With a Mobile Chat-Based Intervention for Smoking Cessation. JAMA Network Open 2024;7(6):e2417796 View

Books/Policy Documents

  1. Strecher V. Handbook of Behavioral Medicine. View
  2. Mercadier Y, Moulahi B, Bringay S, Azé J, Lenoir P, Mercier G, Carbonnel F. Social Web and Health Research. View
  3. Jacob M, Storch E. Mental Health Practice in a Digital World. View
  4. Budney A, Borodovsky J, Marsch L, Lord S. The Assessment and Treatment of Addiction. View
  5. Davis S, Feldman S. Adherence in Dermatology. View
  6. Campbell J, Bogueva D. Nutrition Science, Marketing Nutrition, Health Claims, and Public Policy. View
  7. West R. Addiction Research Methods. View
  8. Kostagiolas P, Parnavela S, Theodorou P. GeNeDis 2022. View
  9. Meijer E, Mansour M. Digital Respiratory Healthcare. View