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

Digital Health Reviews (1186) Consumer & Patient Education and Shared-Decision Making (638) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (459) Web-based and Mobile Health Interventions (3114) Evaluation and Research Methodology for mHealth (194)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18355, first published .
Understanding Self-Guided Web-Based Educational Interventions for Patients With Chronic Health Conditions: Systematic Review of Intervention Features and Adherence

Understanding Self-Guided Web-Based Educational Interventions for Patients With Chronic Health Conditions: Systematic Review of Intervention Features and Adherence

Understanding Self-Guided Web-Based Educational Interventions for Patients With Chronic Health Conditions: Systematic Review of Intervention Features and Adherence

Authors of this article:

Li Feng Xie1 Author Orcid Image ;   Alexandra Itzkovitz1 Author Orcid Image ;   Amelie Roy-Fleming1 Author Orcid Image ;   Deborah Da Costa2 Author Orcid Image ;   Anne-Sophie Brazeau1, 3 Author Orcid Image
Article Authors Cited by (12) Tweetations (12) Metrics

Journals

  1. Sharma A, Baig V, Ahuja J, Sharma S, Panwar R, Katoch V, Gupta R. Efficacy of IVRS-based mHealth intervention in reducing cardiovascular risk in metabolic syndrome: A cluster randomized trial. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2021;15(5):102182 View
  2. Sweeney L, Windgassen S, Artom M, Norton C, Fawson S, Moss-Morris R. A Novel Digital Self-management Intervention for Symptoms of Fatigue, Pain, and Urgency in Inflammatory Bowel Disease: Describing the Process of Development. JMIR Formative Research 2022;6(5):e33001 View
  3. Quinn L, Woolley A, Davies M, Bodicoat D, Seidu S, Khunti K, Hadjiconstantinou M. Educational preferences in individuals with cardiometabolic disease differs with age, ethnicity and educational status. Patient Education and Counseling 2022;105(12):3479 View
  4. Pillebout E, Durand-Zaleski I, Farge L, Perrier L, de Chaisemartin C, Dupont J, Behaghel L, Rochaix L. Multicentre, randomised, economic evaluation of a web-based interactive education platform, simple or enhanced, for patients with end-stage renal disease: the PIC-R trial protocol. BMJ Open 2022;12(12):e062613 View
  5. Xie L, Roy-Fleming A, Haag S, Costa D, Brazeau A. Development of theSupportself-guided, web application for adults living with type 1 diabetes in Canada by a multi-disciplinary team using a people-oriented approach based on the Behaviour Change Wheel. DIGITAL HEALTH 2023;9:205520762311527 View
  6. Suh M, Park M, Kim Y, Kim Y. The Treatment Outcome of Smart Device–Based Tinnitus Retraining Therapy: Prospective Cohort Study. JMIR mHealth and uHealth 2023;11:e38986 View
  7. Bosch-Frigola I, Coca-Villalba F, Pérez-Lacasta M, Carles-Lavila M. Diabetes mellitus and inequalities in the equipment and use of information technologies as a socioeconomic determinant of health in Spain. Frontiers in Public Health 2023;10 View
  8. Xie L, Housni A, Nakhla M, Cianci R, Leroux C, Da Costa D, Brazeau A. Adaptation of an Adult Web Application for Type 1 Diabetes Self-management to Youth Using the Behavior Change Wheel to Tailor the Needs of Health Care Transition: Qualitative Interview Study. JMIR Diabetes 2023;8:e42564 View
  9. Pogrebnoy D, Dennett A, Simpson D, MacDonald-Wicks L, Patterson A, English C. Effects of Using Websites on Physical Activity and Diet Quality for Adults Living With Chronic Health Conditions: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2023;25:e49357 View
  10. Xie L, Housni A, Roy-Fleming A, Bandini A, Delormier T, Costa D, Brazeau A. Evaluation of Support, a self-guided online type 1 diabetes self-management education and support web application—a mixed methods study. DIGITAL HEALTH 2023;9 View
  11. Akdemir A, Smith A, Wu V, Rincones O, Russell H, Lyhne J, Kemp E, David M, Bamgboje‐Ayodele A. Guided versus non‐guided digital psychological interventions for cancer patients: A systematic review and meta‐analysis of engagement and efficacy. Psycho-Oncology 2024;33(1) View
  12. Baee S, Eberle J, Baglione A, Spears T, Lewis E, Behan H, Wang H, Funk D, Teachman B, E Barnes L. Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: Machine Learning Study (Preprint). JMIR Mental Health 2023 View