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Citing this Article

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Published on 18.11.10 in Vol 12, No 4 (2010): Oct-Dec

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1430):

(note that this is only a small subset of citations)

  1. van Doorn-van Atten MN, de Groot LC, Romea AC, Schwartz S, de Vries JH, 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
    CrossRef
  2. 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;
    CrossRef
  3. Chen AT, Wu S, Tomasino KN, Lattie EG, Mohr DC. A multi-faceted approach to characterizing user behavior and experience in a digital mental health intervention. Journal of Biomedical Informatics 2019;94:103187
    CrossRef
  4. Flood-Grady E, Neil JM, Paige SR, Lee D, Damiani RE, Hough D, Savitsky Z, George TJ, Krieger JL. A Pilot Study Determining Comprehension and the Acceptability of a Cancer Research Study Website for Cancer Patients and Caregivers. Journal of Cancer Education 2019;
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  5. 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
    CrossRef
  6. Beintner I, Görlich D, Berger T, Ebert DD, 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
    CrossRef
  7. Murray JM, French DP, Patterson CC, Kee F, Gough A, Tang J, Hunter RF. 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
    CrossRef
  8. Wilson DK, Sweeney AM, Law LH, 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
    CrossRef
  9. Harrington RA, Scarborough P, Hodgkins C, Raats MM, 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
    CrossRef
  10. Karekla M, Kasinopoulos O, Neto DD, Ebert DD, Van Daele T, Nordgreen T, Höfer S, Oeverland S, Jensen KL. Best Practices and Recommendations for Digital Interventions to Improve Engagement and Adherence in Chronic Illness Sufferers. European Psychologist 2019;24(1):49
    CrossRef
  11. Short CE, DeSmet A, Woods C, Williams SL, Maher C, Middelweerd A, Müller AM, Wark PA, Vandelanotte C, Poppe L, Hingle MD, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292
    CrossRef
  12. Graham AL, Papandonatos GD, Cha S, Erar B, Amato MS. Improving Adherence to Smoking Cessation Treatment: Smoking Outcomes in a Web-based Randomized Trial. Annals of Behavioral Medicine 2018;52(4):331
    CrossRef
  13. Lin P, Grambow S, Intille S, Gallis JA, Lazenka T, Bosworth H, Voils CL, Bennett GG, 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
    CrossRef
  14. 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
    CrossRef
  15. Bonett S, Connochie D, Golinkoff JM, Horvath KJ, Bauermeister JA. Paradata Analysis of an eHealth HIV Testing Intervention for Young Men Who Have Sex With Men. AIDS Education and Prevention 2018;30(5):434
    CrossRef
  16. Syrjala KL, Crouch M, Leisenring WM, Flowers ME, Artherholt SB, Fiscalini AS, Romano E, Romano JM, Martin PJ, Yi JC. Engagement with INSPIRE, an Online Program for Hematopoietic Cell Transplantation Survivors. Biology of Blood and Marrow Transplantation 2018;24(8):1692
    CrossRef
  17. 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
    CrossRef
  18. 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
    CrossRef
  19. 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
    CrossRef
  20. Jaffe AE, Bountress KE, Metzger IW, Maples-Keller JL, Pinsky HT, George WH, Gilmore AK. Student engagement and comfort during a web-based personalized feedback intervention for alcohol and sexual assault. Addictive Behaviors 2018;82:23
    CrossRef
  21. 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)
    CrossRef
  22. Metse AP, Hizam NAN, Wiggers J, Wye P, Bowman JA. 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)
    CrossRef
  23. 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
    CrossRef
  24. Kay MC, Burroughs J, Askew S, Bennett GG, Armstrong S, Steinberg DM. 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
    CrossRef
  25. Olsen PS, Plourde KF, 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
    CrossRef
  26. 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
    CrossRef
  27. McCallum C, Rooksby J, Gray CM. Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review. JMIR mHealth and uHealth 2018;6(3):e58
    CrossRef
  28. Yeager CM, Shoji K, Luszczynska A, Benight CC. Engagement With a Trauma Recovery Internet Intervention Explained With the Health Action Process Approach (HAPA): Longitudinal Study. JMIR Mental Health 2018;5(2):e29
    CrossRef
  29. Mihuta ME, Green HJ. 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
    CrossRef
  30. 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
    CrossRef
  31. Myers ND, Prilleltensky I, Prilleltensky O, McMahon A, Dietz S, Rubenstein CL. Efficacy of the Fun For Wellness Online Intervention to Promote Multidimensional Well-Being: a Randomized Controlled Trial. Prevention Science 2017;18(8):984
    CrossRef
  32. Huan Xu R, Wong EL. Citation Classics in Patient Engagement Research: An Analysis of the 50 Most Cited Articles. Open Journal of Nursing 2017;07(06):630
    CrossRef
  33. Bauermeister JA, Golinkoff JM, Muessig KE, Horvath KJ, Hightow-Weidman LB. Addressing engagement in technology-based behavioural HIV interventions through paradata metrics. Current Opinion in HIV and AIDS 2017;12(5):442
    CrossRef
  34. 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
    CrossRef
  35. 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
    CrossRef
  36. Sze YY, Stein JS, Bickel WK, Paluch RA, Epstein LH. Bleak Present, Bright Future: Online Episodic Future Thinking, Scarcity, Delay Discounting, and Food Demand. Clinical Psychological Science 2017;5(4):683
    CrossRef
  37. 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
    CrossRef
  38. Hartz SM, Quan T, Ibiebele A, Fisher SL, Olfson E, Salyer P, Bierut LJ. The significant impact of education, poverty, and race on Internet-based research participant engagement. Genetics in Medicine 2017;19(2):240
    CrossRef
  39. Rübsamen N, Akmatov MK, Castell S, Karch A, Mikolajczyk RT. Factors associated with attrition in a longitudinal online study: results from the HaBIDS panel. BMC Medical Research Methodology 2017;17(1)
    CrossRef
  40. Taki S, Lymer S, Russell CG, 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
    CrossRef
  41. Sharpe EE, Karasouli E, Meyer C. Examining Factors of Engagement With Digital Interventions for Weight Management: Rapid Review. JMIR Research Protocols 2017;6(10):e205
    CrossRef
  42. 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
    CrossRef
  43. Baltierra NB, Muessig KE, Pike EC, LeGrand S, Bull SS, Hightow-Weidman LB. More than just tracking time: Complex measures of user engagement with an internet-based health promotion intervention. Journal of Biomedical Informatics 2016;59:299
    CrossRef
  44. Alkhaldi G, Hamilton FL, 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
    CrossRef
  45. Graham AL, Jacobs MA, Cohn AM, Cha S, Abroms LC, Papandonatos GD, 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
    CrossRef
  46. Walthouwer MJL, 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
    CrossRef
  47. Owen JE, Bantum EO, Gorlick A, Stanton AL. Engagement with a Social Networking Intervention for Cancer-Related Distress. Annals of Behavioral Medicine 2015;49(2):154
    CrossRef
  48. 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
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  49. Lane TS, Armin J, Gordon JS. Online Recruitment Methods for Web-Based and Mobile Health Studies: A Review of the Literature. Journal of Medical Internet Research 2015;17(7):e183
    CrossRef
  50. Alkhaldi G, Hamilton FL, 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
    CrossRef
  51. 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
    CrossRef
  52. Bright FAS, Kayes NM, Worrall L, McPherson KM. A conceptual review of engagement in healthcare and rehabilitation. Disability and Rehabilitation 2015;37(8):643
    CrossRef
  53. Berry DL, Blonquist TM, Patel RA, 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
    CrossRef
  54. Demment MM, Graham ML, Olson CM. 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
    CrossRef
  55. Muench F, van Stolk-Cooke K, Morgenstern J, Kuerbis AN, Markle K. Understanding Messaging Preferences to Inform Development of Mobile Goal-Directed Behavioral Interventions. Journal of Medical Internet Research 2014;16(2):e14
    CrossRef
  56. van Beugen S, Ferwerda M, Hoeve D, Rovers MM, Spillekom-van Koulil S, van Middendorp H, Evers AW. Internet-Based Cognitive Behavioral Therapy for Patients With Chronic Somatic Conditions: A Meta-Analytic Review. Journal of Medical Internet Research 2014;16(3):e88
    CrossRef
  57. Merchant G, Weibel N, Patrick K, Fowler JH, Norman GJ, Gupta A, Servetas C, Calfas K, Raste K, Pina L, Donohue M, Griswold WG, 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
    CrossRef
  58. 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
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  59. Graham ML, Uesugi KH, Niederdeppe J, Gay GK, Olson CM. 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
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  60. 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
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  61. Crutzen R, Ruiter RA, de Vries NK. Can interest and enjoyment help to increase use of Internet-delivered interventions?. Psychology & Health 2014;29(11):1227
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  62. Cobb NK, Poirier J. Effectiveness of a Multimodal Online Well-Being Intervention. American Journal of Preventive Medicine 2014;46(1):41
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  63. Litvin EB, Abrantes AM, Brown RA. Computer and mobile technology-based interventions for substance use disorders: An organizing framework. Addictive Behaviors 2013;38(3):1747
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  64. Lau AY, 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
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  65. Crutzen R, Roosjen JL, 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
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  66. Graham AL, Cha S, Papandonatos GD, Cobb NK, Mushro A, Fang Y, Niaura RS, Abrams DB. Improving adherence to web-based cessation programs: a randomized controlled trial study protocol. Trials 2013;14(1):48
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  67. Lau AY, Dunn AG, 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
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  68. Mohr DC, Burns MN, Schueller SM, Clarke G, Klinkman M. Behavioral Intervention Technologies: Evidence review and recommendations for future research in mental health. General Hospital Psychiatry 2013;35(4):332
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  69. Richardson A, Graham AL, 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
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  70. Murray E, White IR, 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
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  71. Donkin L, Hickie IB, Christensen H, Naismith SL, Neal B, Cockayne NL, 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
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  72. Kelders SM, Bohlmeijer ET, Van Gemert-Pijnen JE. 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
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  74. McClure JB, Shortreed SM, 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
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1430)

:
  1. Farmer A, Pal K. Diabetes Epidemiology, Genetics, Pathogenesis, Diagnosis, Prevention, and Treatment. 2018. Chapter 13:401
    CrossRef
  2. Farmer A, Pal K. Diabetes. Epidemiology, Genetics, Pathogenesis, Diagnosis, Prevention, and Treatment. 2018. Chapter 13-1:1
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  3. Kelders SM, van Gemert-Pijnen JEWC. Persuasive Technology. 2013. Chapter 13:99
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