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

Web-based and Mobile Health Interventions (3297) Demographics of Users, Social & Digital Divide (739) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (491)

Published on in Vol 17, No 5 (2015): May

Who Follows eHealth Interventions as Recommended? A Study of Participants' Personal Characteristics From the Experimental Arm of a Randomized Controlled Trial

Who Follows eHealth Interventions as Recommended? A Study of Participants' Personal Characteristics From the Experimental Arm of a Randomized Controlled Trial

Who Follows eHealth Interventions as Recommended? A Study of Participants' Personal Characteristics From the Experimental Arm of a Randomized Controlled Trial

Authors of this article:

Dominique A Reinwand1, 2 Author Orcid Image ;   Daniela N Schulz1 Author Orcid Image ;   Rik Crutzen1 Author Orcid Image ;   Stef PJ Kremers3 Author Orcid Image ;   Hein de Vries1 Author Orcid Image
Article Authors Cited by (45) Tweetations (51) Metrics

Journals

  1. 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
  2. Latulippe K, Hamel C, Giroux D. Integration of Conversion Factors for the Development of an Inclusive eHealth Tool With Caregivers of Functionally Dependent Older Persons: Social Justice Design. JMIR Human Factors 2020;7(3):e18120 View
  3. Jimenez P, Bregenzer A. Integration of eHealth Tools in the Process of Workplace Health Promotion: Proposal for Design and Implementation. Journal of Medical Internet Research 2018;20(2):e65 View
  4. Boekhout J, Peels D, Berendsen B, Bolman C, Lechner L. A Web-Based and Print-Delivered Computer-Tailored Physical Activity Intervention for Older Adults: Pretest-Posttest Intervention Study Comparing Delivery Mode Preference and Attrition. Journal of Medical Internet Research 2019;21(8):e13416 View
  5. Cheung K, Schwabe I, Walthouwer M, Oenema A, Lechner L, De Vries H. Effectiveness of a Video-Versus Text-Based Computer-Tailored Intervention for Obesity Prevention after One Year: A Randomized Controlled Trial. International Journal of Environmental Research and Public Health 2017;14(10):1275 View
  6. Perras M, Strachan S, Fortier M, Dufault B. Impact of a randomized possible selves experiment on new retirees’ physical activity and identity. European Review of Aging and Physical Activity 2016;13(1) View
  7. Kanera I, Willems R, Bolman C, Mesters I, Zambon V, Gijsen B, Lechner L. Use and Appreciation of a Tailored Self-Management eHealth Intervention for Early Cancer Survivors: Process Evaluation of a Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(8):e229 View
  8. MMller A, Blandford A, Yardley L. The Conceptualization of a Just-in-Time Adaptive Intervention (JITAI) for the Reduction of Sedentary Behavior in Older Adults. SSRN Electronic Journal 2017 View
  9. Richardson B, Goldberg L, Aston M, Campbell‐Yeo M. eHealth versus equity: Using a feminist poststructural framework to explore the influence of perinatal eHealth resources on health equity. Journal of Clinical Nursing 2018;27(21-22):4224 View
  10. Broers E, Widdershoven J, Denollet J, Lodder P, Kop W, Wetzels M, Ayoola I, Piera-Jimenez J, Habibović M. Personalized eHealth Program for Life-style Change: Results From the “Do Cardiac Health Advanced New Generated Ecosystem (Do CHANGE 2)” Randomized Controlled Trial. Psychosomatic Medicine 2020;82(4):409 View
  11. Seifert A, Reinwand D, Schlomann A. Designing and Using Digital Mental Health Interventions for Older Adults: Being Aware of Digital Inequality. Frontiers in Psychiatry 2019;10 View
  12. 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
  13. Claassen A, Vliet Vlieland T, Busch V, Schers H, van den Hoogen F, van den Ende C. An Electronic Health Tool to Prepare for the First Orthopedic Consultation: Use and Usability Study. JMIR Formative Research 2019;3(4):e13577 View
  14. Cheung K, Wijnen B, de Vries H. A Review of the Theoretical Basis, Effects, and Cost Effectiveness of Online Smoking Cessation Interventions in the Netherlands: A Mixed-Methods Approach. Journal of Medical Internet Research 2017;19(6):e230 View
  15. Schover L, Strollo S, Stein K, Fallon E, Smith T. Effectiveness trial of an online self-help intervention for sexual problems after cancer. Journal of Sex & Marital Therapy 2020;46(6):576 View
  16. Agricola E, Gesualdo F, Carloni E, D’Ambrosio A, Russo L, Campagna I, Pandolfi E, Tozzi A. Investigating paternal preconception risk factors for adverse pregnancy outcomes in a population of internet users. Reproductive Health 2016;13(1) View
  17. Bregenzer A, Wagner-Hartl V, Jiménez P. Who uses apps in health promotion? A target group analysis of leaders. Health Informatics Journal 2019;25(3):1038 View
  18. Reinwand D, Crutzen R, Storm V, Wienert J, Kuhlmann T, de Vries H, Lippke S. Generating and predicting high quality action plans to facilitate physical activity and fruit and vegetable consumption: results from an experimental arm of a randomised controlled trial. BMC Public Health 2016;16(1) View
  19. 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
  20. Tomyn J, Fuller-Tyszkiewicz M, Richardson B, Colla L. A Comprehensive Evaluation of a Universal School-Based Depression Prevention Program for Adolescents. Journal of Abnormal Child Psychology 2016;44(8):1621 View
  21. Tan S, Storm V, Reinwand D, Wienert J, de Vries H, Lippke S. Understanding the Positive Associations of Sleep, Physical Activity, Fruit and Vegetable Intake as Predictors of Quality of Life and Subjective Health Across Age Groups: A Theory Based, Cross-Sectional Web-Based Study. Frontiers in Psychology 2018;9 View
  22. Lin H, Ye M, Chan S, Zhu J, He H. The effectiveness of online interventions for patients with gynecological cancer: An integrative review. Gynecologic Oncology 2020;158(1):143 View
  23. Cheung K, Durusu D, Sui X, de Vries H. How recommender systems could support and enhance computer-tailored digital health programs: A scoping review. DIGITAL HEALTH 2019;5 View
  24. Latulippe K, Hamel C, Giroux D. Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies. Journal of Medical Internet Research 2017;19(4):e136 View
  25. Van Dyck D, Plaete J, Cardon G, Crombez G, De Bourdeaudhuij I. Effectiveness of the self-regulation eHealth intervention ‘MyPlan1.0.’ on physical activity levels of recently retired Belgian adults: a randomized controlled trial. Health Education Research 2016;31(5):653 View
  26. Cunningham J, Shorter G, Murphy M, Kushnir V, Rehm J, Hendershot C. Randomized Controlled Trial of a Brief Versus Extended Internet Intervention for Problem Drinkers. International Journal of Behavioral Medicine 2017;24(5):760 View
  27. Moskowitz J, McDonnell D, Kazinets G, Lee H. Online smoking cessation program for Korean Americans: Randomized trial to test effects of incentives for program completion and interim surveys. Preventive Medicine 2016;86:70 View
  28. Sieverink F, Kelders S, van Gemert-Pijnen J. Clarifying the Concept of Adherence to eHealth Technology: Systematic Review on When Usage Becomes Adherence. Journal of Medical Internet Research 2017;19(12):e402 View
  29. Latulippe K, Hamel C, Giroux D. Co-Design to Support the Development of Inclusive eHealth Tools for Caregivers of Functionally Dependent Older Persons: Social Justice Design. Journal of Medical Internet Research 2020;22(11):e18399 View
  30. LOPES R, SVACINA M, GÓMEZ-PENEDO J, ROUSSOS A, MEYER B, BERGER T. Who seeks Internet-based interventions for depression in Brazil?. Estudos de Psicologia (Campinas) 2021;38 View
  31. Scheenstra B, Bruninx A, van Daalen F, Stahl N, Latuapon E, Imkamp M, Ippel L, Duijsings-Mahangi S, Smits D, Townend D, Bermejo I, Dekker A, Hochstenbach L, Spreeuwenberg M, Maessen J, van 't Hof A, Kietselaer B. Digital Health Solutions to Reduce the Burden of Atherosclerotic Cardiovascular Disease Proposed by the CARRIER Consortium. JMIR Cardio 2022;6(2):e37437 View
  32. Schroé H, Crombez G, De Bourdeaudhuij I, Van Dyck D. Investigating When, Which, and Why Users Stop Using a Digital Health Intervention to Promote an Active Lifestyle: Secondary Analysis With A Focus on Health Action Process Approach–Based Psychological Determinants. JMIR mHealth and uHealth 2022;10(1):e30583 View
  33. Flynn A, Suleiman F, Windsor‐Aubrey H, Wolfe I, O'Keeffe M, Poston L, Dalrymple K. Preventing and treating childhood overweight and obesity in children up to 5 years old: A systematic review by intervention setting. Maternal & Child Nutrition 2022;18(3) View
  34. Rombouts M, Raaijmakers L, Kuunders T, Van Steijn-Martens R, de Vuijst T, van Donkersgoed H, van de Goor L. The Acceptance and Use of the e-Health Instrument ‘The Personal Health Check’ in Four Dutch Municipalities: Lessons Learned. Journal of Prevention 2022;43(1):25 View
  35. Boucher E, Honomichl R, Ward H, Powell T, Stoeckl S, Parks A. The Effects of a Digital Well-being Intervention on Older Adults: Retrospective Analysis of Real-world User Data. JMIR Aging 2022;5(3):e39851 View
  36. Davis A, Wilson K, Ellis R. An observation of the impact of tailored messages on participant non-compliance during Desire2Move. Translational Behavioral Medicine 2021;11(12):2127 View
  37. 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
  38. Kulhánek A, Lukavska K, Gabrhelík R, Novák D, Burda V, Prokop J, Holter M, Brendryen H. Comparing Reminders Sent via SMS Text Messaging and Email for Improving Adherence to an Electronic Health Program: Randomized Controlled Trial. JMIR mHealth and uHealth 2022;10(3):e31040 View
  39. Armbruster C, Knaub M, Farin-Glattacker E, von der Warth R. Predictors of Adherence to Cancer-Related mHealth Apps in Cancer Patients Undergoing Oncological or Follow-Up Treatment—A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(20):13689 View
  40. Al-Dhahir I, Reijnders T, Faber J, van den Berg-Emons R, Janssen V, Kraaijenhagen R, Visch V, Chavannes N, Evers A. The Barriers and Facilitators of eHealth-Based Lifestyle Intervention Programs for People With a Low Socioeconomic Status: Scoping Review. Journal of Medical Internet Research 2022;24(8):e34229 View
  41. Weishaupt I, Mages-Torluoglu J, Kunze C, Weidmann C, Steinhausen K, Bailer A. Mobile Digital Health Intervention to Promote Nutrition and Physical Activity Behaviors Among Long-term Unemployed in Rural Areas: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(11):e40321 View
  42. 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
  43. Breistig S, Thorkildsen K, Tveit Sekse R. Gynecological Cancer Survivors’ Experiences and Desire for Follow-up After Recent Treatment. Cancer Nursing 2024;47(5):E327 View
  44. Skov O, Johansen J, Nielsen J, Larroudé C, Riahi S, Melchior T, Vinther M, Skovbakke S, Rottmann N, Wiil U, Brandt C, Smolderen K, Spertus J, Pedersen S. Efficacy of a web-based healthcare innovation to advance the quality of life and care of patients with an implantable cardioverter defibrillator (ACQUIRE-ICD): a randomized controlled trial. Europace 2023;25(12) View
  45. Bachofner Y, Seifert A, Sepahniya S, Fabian C. Exploring online health information seeking and sharing among older adults: a mini-review about acceptance, potentials, and barriers. Frontiers in Digital Health 2024;6 View