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

Models and Frameworks in Medical Education (24) e-Learning and Medical Education (645) Graduate and Postgraduate Education for Health Professionals (86)

Published on in Vol 4, No 1 (2018): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9365, first published .
Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study

Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study

Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study

Authors of this article:

Robert Adrianus de Leeuw1, 2 Author Orcid Image ;   Kieran Walsh3 Author Orcid Image ;   Michiel Westerman2 Author Orcid Image ;   Fedde Scheele1 Author Orcid Image
Article Authors Cited by (13) Tweetations (5) Metrics

Journals

  1. Bakkum M, Tichelaar J, Wellink A, Richir M, van Agtmael M. Digital Learning to Improve Safe and Effective Prescribing: A Systematic Review. Clinical Pharmacology & Therapeutics 2019;106(6):1236 View
  2. de Leeuw R, de Soet A, van der Horst S, Walsh K, Westerman M, Scheele F. How We Evaluate Postgraduate Medical E-Learning: Systematic Review. JMIR Medical Education 2019;5(1):e13128 View
  3. de Leeuw R, Logger D, Westerman M, Bretschneider J, Plomp M, Scheele F. Influencing factors in the implementation of postgraduate medical e-learning: a thematic analysis. BMC Medical Education 2019;19(1) View
  4. Lund B. Review of the Delphi method in library and information science research. Journal of Documentation 2020;76(4):929 View
  5. de Leeuw R, Westerman M, Walsh K, Scheele F. Development of an Instructional Design Evaluation Survey for Postgraduate Medical E-Learning: Content Validation Study. Journal of Medical Internet Research 2019;21(8):e13921 View
  6. de Leeuw R, Scheele F, Walsh K, Westerman M. A 9-Step Theory- and Evidence-Based Postgraduate Medical Digital Education Development Model: Empirical Development and Validation. JMIR Medical Education 2019;5(2):e13004 View
  7. Liu Q, Sun W, Du C, Yang L, Yuan N, Cui H, Song W, Ge L. Medical Morphology Training Using the Xuexi Tong Platform During the COVID-19 Pandemic: Development and Validation of a Web-Based Teaching Approach. JMIR Medical Informatics 2021;9(3):e24497 View
  8. Boulais M, Comte J, Stauffer E, Gormand F, Lambert I, Limousin N, Lopez R, Leotard A, Guyon A, Raoux A, Challamel M, Franco P, Peter-Derex L. Polysomnograph-e : un outil pédagogique en ligne pour l’apprentissage de la lecture des polysomnographies. Médecine du Sommeil 2022;19(3):156 View
  9. Mutua M, Nyoni C, Bati A. Undergraduate e-learning programmes in health professions: An integrative review of evaluation standards in low- and middle-income countries. PLOS ONE 2023;18(2):e0281586 View
  10. Crocamo C, Bachi B, Cioni R, Schecke H, Nieminen I, Zabłocka-Żytka L, Woźniak-Prus M, Bartoli F, Riboldi I, Appleton J, Bekaert S, Zlatkute G, Jouet E, Viganò G, Specka M, Scherbaum N, Paavilainen E, Baldacchino A, Carrà G. Professionals’ Digital Training for Child Maltreatment Prevention in the COVID-19 Era: A Pan-European Model. International Journal of Environmental Research and Public Health 2022;19(2):885 View
  11. Brittz K, Botma Y, Heyns T. Twelve tips for creating online learning units for the health professions in low-and middle-income countries. Medical Teacher 2024;46(5):626 View
  12. Chibabhai V, Marais G, Alex V. Microbe Mail: A microbiology and infectious diseases podcast for clinicians and students. Southern African Journal of Infectious Diseases 2023;38(1) View
  13. Putkuri T, Sarvasmaa A, Lahti M, Laaksonen C, Axelin A. Participation and satisfaction with thee-learning course “Mental health promotion in school health care”: a mixed-method study. The Journal of Mental Health Training, Education and Practice 2024 View