Published on in Vol 3, No 1 (2016): Jan-Mar

Heuristic Evaluation of Ehealth Interventions: Establishing Standards That Relate to the Therapeutic Process Perspective

Heuristic Evaluation of Ehealth Interventions: Establishing Standards That Relate to the Therapeutic Process Perspective

Heuristic Evaluation of Ehealth Interventions: Establishing Standards That Relate to the Therapeutic Process Perspective

Authors of this article:

Amit Baumel1, 2 Author Orcid Image ;   Fred Muench3 Author Orcid Image


  1. Granja C, Janssen W, Johansen M. Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature. Journal of Medical Internet Research 2018;20(5):e10235 View
  2. Punukollu M, Marques M. Use of mobile apps and technologies in child and adolescent mental health: a systematic review. Evidence Based Mental Health 2019;22(4):161 View
  3. Aromatario O, Van Hoye A, Vuillemin A, Foucaut A, Crozet C, Pommier J, Cambon L. How do mobile health applications support behaviour changes? A scoping review of mobile health applications relating to physical activity and eating behaviours. Public Health 2019;175:8 View
  4. Batterham P, Calear A, O’Dea B, Larsen M, J Kavanagh D, Titov N, March S, Hickie I, Teesson M, Dear B, Reynolds J, Lowinger J, Thornton L, Gorman P. Stakeholder perspectives on evidence for digital mental health interventions: Implications for accreditation systems. DIGITAL HEALTH 2019;5:205520761987806 View
  5. Baumel A. Making the Case for a Feasible Evaluation Method of Available E-Mental Health Products. Administration and Policy in Mental Health and Mental Health Services Research 2018;45(1):1 View
  6. Baumel A, Pawar A, Kane J, Correll C. Digital Parent Training for Children with Disruptive Behaviors: Systematic Review and Meta-Analysis of Randomized Trials. Journal of Child and Adolescent Psychopharmacology 2016;26(8):740 View
  7. Khowaja K, Al-Thani D. New Checklist for the Heuristic Evaluation of mHealth Apps (HE4EH): Development and Usability Study. JMIR mHealth and uHealth 2020;8(10):e20353 View
  8. McClelland G, Fitzgerald M. A participatory mobile application (app) development project with mental health service users and clinicians. Health Education Journal 2018;77(7):815 View
  9. Kim B, Sharafoddini A, Tran N, Wen E, Lee J. Consumer Mobile Apps for Potential Drug-Drug Interaction Check: Systematic Review and Content Analysis Using the Mobile App Rating Scale (MARS). JMIR mHealth and uHealth 2018;6(3):e74 View
  10. Jansen-Kosterink S, Bergsma J, Francissen A, Naafs A. The first evaluation of a Mobile application to encourage social participation for community-dwelling older adults. Health and Technology 2020;10(5):1107 View
  11. Müssener U, Thomas K, Linderoth C, Löf M, Åsberg K, Henriksson P, Bendtsen M. Development of an Intervention Targeting Multiple Health Behaviors Among High School Students: Participatory Design Study Using Heuristic Evaluation and Usability Testing. JMIR mHealth and uHealth 2020;8(10):e17999 View
  12. Baumel A, Birnbaum M, Sucala M. A Systematic Review and Taxonomy of Published Quality Criteria Related to the Evaluation of User-Facing eHealth Programs. Journal of Medical Systems 2017;41(8) View
  13. Müssener U, Löf M, Bendtsen P, Bendtsen M. Using Mobile Devices to Deliver Lifestyle Interventions Targeting At-Risk High School Students: Protocol for a Participatory Design Study. JMIR Research Protocols 2020;9(1):e14588 View
  14. Fitzgerald M, McClelland T. What makes a mobile app successful in supporting health behaviour change?. Health Education Journal 2017;76(3):373 View
  15. Baumel A, Faber K, Mathur N, Kane J, Muench F. Enlight: A Comprehensive Quality and Therapeutic Potential Evaluation Tool for Mobile and Web-Based eHealth Interventions. Journal of Medical Internet Research 2017;19(3):e82 View
  16. Srikesavan C, Williamson E, Cranston T, Hunter J, Adams J, Lamb S. An Online Hand Exercise Intervention for Adults With Rheumatoid Arthritis (mySARAH): Design, Development, and Usability Testing. Journal of Medical Internet Research 2018;20(6):e10457 View
  17. Baumel A, Muench F, Edan S, Kane J. Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis. Journal of Medical Internet Research 2019;21(9):e14567 View
  18. Brown J, Nam Kim H. Usability Evaluation of Alzheimer’s mHealth Applications for Caregivers. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2018;62(1):503 View
  19. Infarinato F, Jansen-Kosterink S, Romano P, van Velsen L, op den Akker H, Rizza F, Ottaviani M, Kyriazakos S, Wais-Zechmann B, Garschall M, Bonassi S, Hermens H. Acceptance and Potential Impact of the eWALL Platform for Health Monitoring and Promotion in Persons with a Chronic Disease or Age-Related Impairment. International Journal of Environmental Research and Public Health 2020;17(21):7893 View
  20. Baumel A, Muench F. Effort-Optimized Intervention Model: Framework for Building and Analyzing Digital Interventions That Require Minimal Effort for Health-Related Gains. Journal of Medical Internet Research 2021;23(3):e24905 View
  21. Platt I, Kannangara C, Carson J, Tytherleigh M. Heuristic assessment of psychological interventions in schools (HAPI Schools). Psychology in the Schools 2021;58(7):1399 View
  22. Broekhuis M, van Velsen L, Peute L, Halim M, Hermens H. Conceptualizing Usability for the eHealth Context: Content Analysis of Usability Problems of eHealth Applications. JMIR Formative Research 2021;5(7):e18198 View
  23. Newton A, March S, Gehring N, Rowe A, Radomski A. Establishing a Working Definition of User Experience for eHealth Interventions of Self-reported User Experience Measures With eHealth Researchers and Adolescents: Scoping Review. Journal of Medical Internet Research 2021;23(12):e25012 View
  24. Ribeiro da Silva Vallim J, Cristina Cadrieskt Ribeiro Mello E, Gottberg Fagundes H, Sant'Ana Lima G, Mayumi Suyama Tsuji H, Duarte Palma Xylaras B, da Silva Rosa A, Demarzo M, D'Almeida V. Feasibility and the effects of an online mindfulness-based health promotion program on college students' sleep, circadian rhythms, and well-being: Protocol for a randomized trial [CIRCAMIND study]. European Journal of Integrative Medicine 2022;51:102127 View
  25. Kalhori S, Hemmat M, Noori T, Heydarian S, Katigari M. Quality Evaluation of English Mobile Applications for Gestational Diabetes: App Review using Mobile Application Rating Scale (MARS). Current Diabetes Reviews 2021;17(2):161 View
  26. Caggianese G, Cuomo S, Esposito M, Franceschini M, Gallo L, Infarinato F, Minutolo A, Piccialli F, Romano P. Serious Games and In-Cloud Data Analytics for the Virtualization and Personalization of Rehabilitation Treatments. IEEE Transactions on Industrial Informatics 2019;15(1):517 View
  27. Cho M, Chang Y, Lee D, Kim Y. Development of a Mental Health Application: A Formative Evaluation. SAGE Open 2022;12(4):215824402211403 View
  28. Lukka L, Karhulahti V, Bergman V, Palva J. Measuring digital intervention user experience with a novel ecological momentary assessment (EMA) method, CORTO. Internet Interventions 2024;35:100706 View
  29. Segur-Ferrer J, Moltó-Puigmartí C, Pastells-Peiró R, Vivanco-Hidalgo R. Methodological Frameworks and Dimensions to Be Considered in Digital Health Technology Assessment: Scoping Review and Thematic Analysis. Journal of Medical Internet Research 2024;26:e48694 View
  30. Walia T, Muthu M, Saikia A, Anthonappa R, Satyanarayana M. A systematic search, heuristic evaluation and analysis of dental trauma mobile applications. Dental Traumatology 2024 View
  31. Masava B, Nyoni C, Botma Y. Usability of Standards for Scaffolding in a Health Sciences Programme: A feasibility Study. BMC Nursing 2024;23(1) View

Books/Policy Documents

  1. Deb R, Mahto P, Deka L. Recent Developments in Individual and Organizational Adoption of ICTs. View
  2. Jansen-Kosterink S, Bulthuis R, ter Stal S, van Velsen L, Pnevmatikakis A, Kyriazakos S, Pomazanskyi A, op den Akker H. Information and Communication Technologies for Ageing Well and e-Health. View