The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Digital Education in Health Professions: The Need for Overarching Evidence Synthesis
Open accessPublished version of a preprint
Abstract
Synthesizing evidence from randomized controlled trials of digital health education poses some challenges. These include a lack of clear categorization of digital health education in the literature; constantly evolving concepts, pedagogies, or theories; and a multitude of methods, features, technologies, or delivery settings. The Digital Health Education Collaboration was established to evaluate the evidence on digital education in health professions; inform policymakers, educators, and students; and ultimately, change the way in which these professionals learn and are taught. The aim of this paper is to present the overarching methodology that we use to synthesize evidence across our digital health education reviews and to discuss challenges related to the process. For our research, we followed Cochrane recommendations for the conduct of systematic reviews; all reviews are reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidance. This included assembling experts in various digital health education fields; identifying gaps in the evidence base; formulating focused research questions, aims, and outcome measures; choosing appropriate search terms and databases; defining inclusion and exclusion criteria; running the searches jointly with librarians and information specialists; managing abstracts; retrieving full-text versions of papers; extracting and storing large datasets, critically appraising the quality of studies; analyzing data; discussing findings; drawing meaningful conclusions; and drafting research papers. The approach used for synthesizing evidence from digital health education trials is commonly regarded as the most rigorous benchmark for conducting systematic reviews. Although we acknowledge the presence of certain biases ingrained in the process, we have clearly highlighted and minimized those biases by strictly adhering to scientific rigor, methodological integrity, and standard operating procedures. This paper will be a valuable asset for researchers and methodologists undertaking systematic reviews in digital health education.
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Cited by
Kyaw, B. M., Saxena, N., Posadzki, P., Vseteckova, J., Nikolaou, C. K., George, P. P., Divakar, U., Masiello, I., Kononowicz, A. A., Zary, N., et al. (2019) · Journal of Medical Internet Research · doi:10.2196/12959 · Cited by 859
Self-citationSerious gaming and gamification education in health professions: systematic review
Gentry, S. V., Gauthier, A., L’Estrade Ehrstrom, B., Wortley, D., Lilienthal, A., Tudor Car, L., Dauwels-Okutsu, S., Nikolaou, C. K., Zary, N., Campbell, J., et al. (2019) · Journal of Medical Internet Research · doi:10.2196/12994 · Cited by 648
Self-citationKononowicz, A. A., Woodham, L. A., Edelbring, S., Stathakarou, N., Davies, D., Saxena, N., Tudor Car, L., Carlstedt-Duke, J., Car, J., & Zary, N. (2019) · Journal of Medical Internet Research · doi:10.2196/14676 · Cited by 600
Self-citationKyaw, B. M., Posadzki, P., Paddock, S., Car, J., Campbell, J., & Tudor Car, L. (2019) · Journal of Medical Internet Research · doi:10.2196/12967 · Cited by 257
Self-citationVirtual Reality in Medical Students’ Education: Scoping Review
Jiang, H., Vimalesvaran, S., Wang, J. K., Lim, K. B., Mogali, S. R., & Car, L. T. (2022) · JMIR Medical Education · doi:10.2196/34860 · Cited by 259
Metadata
- Authors
- Car, J., Carlstedt-Duke, J., Tudor Car, L., Posadzki, P., Whiting, P., Zary, N., Atun, R., Majeed, A., Campbell, J., & Digital Health Education Collaboration
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2019-02-14
- Volume
- 21
- Issue
- 2
- Pages
- e12913
- ISSN
- 1438-8871 (ISSN-L)
- OpenAlex
- W2910506194
- Cited by
- 166
- References
- 7
- FWCI
- 13.69
- Type
- journal article
- Language
- en
- Open access
- gold
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