Evidence map›Paper›PMID 35297767›Full record

ReviewJournal of medical Internet research2022

Digital Education for Health Professionals: An Evidence Map, Conceptual Framework, and Research Agenda.

Lorainne Tudor Car, Selina Poon, Bhone Myint Kyaw, David A Cook, Victoria Ward, Rifat Atun, Azeem Majeed, Jamie Johnston, Rianne M J J van der Kleij, Mariam Molokhia and 6 more

Abstract readReview
In one paragraph

Review in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Lorainne Tudor CarLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0001-8414-7664
Selina PoonCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0003-4724-0696
Bhone Myint KyawCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-1750-0330
David A CookOffice of Applied Scholarship and Education Science, School of Continuous Professional Development, Mayo Clinic College of Medicine and Science, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0003-2383-4633
Victoria WardDepartment of Pediatrics, Lucile Packard Children's Hospital, Stanford, CA, United States.ORCID 0000-0002-7642-9714
Rifat AtunDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard, Boston, MA, United States.ORCID 0000-0002-1531-5983
Azeem MajeedDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-2357-9858
Jamie JohnstonStanford Center for Health Education's Digital MedIC Initiative, Stanford School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0001-6992-5958
Rianne M J J van der KleijDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, Netherlands.ORCID 0000-0002-8638-4978
Mariam MolokhiaSchool of Population Health and Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.ORCID 0000-0002-1989-7327
Florian V WangenheimDepartment of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-3964-2353
Martin LuptonFaculty of Medicine, Imperial College London, London, United Kingdom.ORCID 0000-0002-9448-6624
Niels ChavannesDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, Netherlands.ORCID 0000-0002-8607-9199
Onyema AjueborHealth Workforce Department, World Health Organization, Geneva, Switzerland.ORCID 0000-0002-8757-0262
Charles G ProberStanford Center for Health Education's Digital MedIC Initiative, Stanford School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0003-3559-6986
Josip CarDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-8969-371X

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundHealth professions education has undergone major changes with the advent and adoption of digital technologies worldwide.

objectiveThis study aims to map the existing evidence and identify gaps and research priorities to enable robust and relevant research in digital health professions education.

methodsWe searched for systematic reviews on the digital education of practicing and student health care professionals. We searched MEDLINE, Embase, Cochrane Library, Educational Research Information Center, CINAHL, and gray literature sources from January 2014 to July 2020. A total of 2 authors independently screened the studies, extracted the data, and synthesized the findings. We outlined the key characteristics of the included reviews, the quality of the evidence they synthesized, and recommendations for future research. We mapped the empirical findings and research recommendations against the newly developed conceptual framework.

resultsWe identified 77 eligible systematic reviews. All of them included experimental studies and evaluated the effectiveness of digital education interventions in different health care disciplines or different digital education modalities. Most reviews included studies on various digital education modalities (22/77, 29%), virtual reality (19/77, 25%), and online education (10/77, 13%). Most reviews focused on health professions education in general (36/77, 47%), surgery (13/77, 17%), and nursing (11/77, 14%). The reviews mainly assessed participants' skills (51/77, 66%) and knowledge (49/77, 64%) and included data from high-income countries (53/77, 69%). Our novel conceptual framework of digital health professions education comprises 6 key domains (context, infrastructure, education, learners, research, and quality improvement) and 16 subdomains. Finally, we identified 61 unique questions for future research in these reviews; these mapped to framework domains of education (29/61, 47% recommendations), context (17/61, 28% recommendations), infrastructure (9/61, 15% recommendations), learners (3/61, 5% recommendations), and research (3/61, 5% recommendations).

conclusionsWe identified a large number of research questions regarding digital education, which collectively reflect a diverse and comprehensive research agenda. Our conceptual framework will help educators and researchers plan, develop, and study digital education. More evidence from low- and middle-income countries is needed.

Indexed as

Education, DistanceHealth PersonnelHealth EducationHumansVirtual Realityconceptual frameworkdigital educationevidence maphealth professions educationmobile phoneresearch questionssystematic review

Identifiers

PMID35297767
PMCPMC8972116

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.