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 sourcesCINAHL, EMBASE, ERIC, PsycINFO, PubMed and Web of Science from the first year of records to February 2019.Eligibility criteriaControlled studies that evaluated the effect of an AEE on knowledge, skills or clinical behaviour in health professionals or students.Screening, data extraction and synthesisTwo 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 numberCRD42017065585

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IntroductionSerious games (SGs) are interactive and entertaining digital software with an educational purpose. They engage the learner by proposing challenges and through various design elements (DEs; eg, points, difficulty adaptation, story). Recent reviews suggest the effectiveness of SGs in healthcare professionals’ and students’ education is mixed. This could be explained by the variability in their DEs, which has been shown to be highly variable across studies. The aim of this systematic review is to identify, appraise and synthesise the best available evidence regarding the effectiveness of SGs and the impact of DEs on engagement and educational outcomes of healthcare professionals and students.Methods and analysisA systematic search of the literature will be conducted using a combination of medical subject headings terms and keywords in Cumulative Index of Nursing and Allied Health, Embase, Education Resources Information Center, PsycInFO, PubMed and Web of Science. Studies assessing SGs on engagement and educational outcomes will be included. Two independent reviewers will conduct the screening as well as the data extraction process. The risk of bias of included studies will also be assessed by two reviewers using the Effective Practice and Organisation of Care criteria. Data regarding DEs in SGs will first be synthesised qualitatively. A meta-analysis will then be performed, if the data allow it. Finally, the quality of the evidence regarding the effectiveness of SGs on each outcome will be assessed using the Grading of Recommendations Assessment, Development and Evaluation approach.Ethics and disseminationAs this systematic review only uses already collected data, no Institutional Review Board approval is required. Its results will be submitted in a peer-reviewed journal by the end of 2018.PROSPERO registration numberCRD42017077424.