Evidence map›Paper›PMID 31467045›Full record

SynthesisBMJ open2019

Efficacy of adaptive e-learning for health professionals and students: a systematic review and meta-analysis.

Guillaume Fontaine, Sylvie Cossette, Marc-André Maheu-Cadotte, Tanya Mailhot, Marie-France Deschênes, Gabrielle Mathieu-Dupuis, José Côté, Marie-Pierre Gagnon, Veronique Dubé

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 7 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

65 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  11. Web-Based Physiotherapy Resources for Bronchiectasis: Evaluation of Content, Quality, and Implementation Evidence.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2026
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5 more citing papers are in PubMed but not listed here.

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

9 authors.

Guillaume FontaineFaculty of Nursing, Université de Montréal, Montréal, Québec, Canada guillaume.fontaine@umontreal.ca.ORCID 0000-0002-7806-814X
Sylvie CossetteFaculty of Nursing, Université de Montréal, Montréal, Québec, Canada.ORCID 0000-0001-5840-9122
Marc-André Maheu-CadotteFaculty of Nursing, Université de Montréal, Montréal, Québec, Canada.ORCID 0000-0003-3190-0901
Tanya MailhotResearch Center, Montreal Heart Institute, Montréal, Québec, Canada.ORCID 0000-0002-3156-4955
Marie-France DeschênesFaculty of Nursing, Université de Montréal, Montréal, Québec, Canada.ORCID 0000-0002-7949-4466
Gabrielle Mathieu-DupuisSchool of Librarianship and Information Science, Université de Montréal, Montréal, Québec, Canada.ORCID 0000-0002-4574-7672
José CôtéFaculty of Nursing, Université de Montréal, Montréal, Québec, Canada.ORCID 0000-0002-0617-2861
Marie-Pierre GagnonFaculty of Nursing, Université Laval, Québec City, Québec, Canada.ORCID 0000-0002-0782-5457
Veronique DubéFaculty of Nursing, Université de Montréal, Montréal, Québec, Canada.ORCID 0000-0002-0602-0390

Funding

CIHR
6 · The paper itself

Abstract

objectiveAlthough adaptive e-learning environments (AEEs) can provide personalised instruction to health professional and students, their efficacy remains unclear. Therefore, this review aimed to identify, appraise and synthesise the evidence regarding the efficacy of AEEs in improving knowledge, skills and clinical behaviour in health professionals and students.

designSystematic review and meta-analysis. DATA SOURCES: CINAHL, EMBASE, ERIC, PsycINFO, PubMed and Web of Science from the first year of records to February 2019. ELIGIBILITY CRITERIA: Controlled studies that evaluated the effect of an AEE on knowledge, skills or clinical behaviour in health professionals or students. SCREENING, DATA EXTRACTION AND SYNTHESIS: Two authors screened studies, extracted data, assessed risk of bias and coded quality of evidence independently. AEEs were reviewed with regard to their topic, theoretical framework and adaptivity process. Studies were included in the meta-analysis if they had a non-adaptive e-learning environment control group and had no missing data. Effect sizes (ES) were pooled using a random effects model.

resultsFrom a pool of 10 569 articles, we included 21 eligible studies enrolling 3684 health professionals and students. Clinical topics were mostly related to diagnostic testing, theoretical frameworks were varied and the adaptivity process was characterised by five subdomains: method, goals, timing, factors and types. The pooled ES was 0.70 for knowledge (95% CI -0.08 to 1.49; p.08) and 1.19 for skills (95% CI 0.59 to 1.79; p<0.00001). Risk of bias was generally high. Heterogeneity was large in all analyses.

conclusionsAEEs appear particularly effective in improving skills in health professionals and students. The adaptivity process within AEEs may be more beneficial for learning skills rather than factual knowledge, which generates less cognitive load. Future research should report more clearly on the design and adaptivity process of AEEs, and target higher-level outcomes, such as clinical behaviour. PROSPERO REGISTRATION NUMBER: CRD42017065585.

Indexed as

Computer-Assisted InstructionEducation, MedicalHealth PersonnelHumansLearningComputer-assisted instructione-learningmedical educationmeta-analysisnursing education

Identifiers

PMID31467045
PMCPMC6719835

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.