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      The Effectiveness of Blended Learning in Health Professions: Systematic Review and Meta-Analysis

      research-article
      , MMSc 1 , , MMSc 1 , , MMSc 1 , , MPH 1 , , MMSc 1 , , PhD 1 ,
      (Reviewer), (Reviewer), (Reviewer)
      Journal of Medical Internet Research
      JMIR Publications Inc.
      blended learning, effectiveness, knowledge, health professions, meta-analysis

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          Abstract

          Background

          Blended learning, defined as the combination of traditional face-to-face learning and asynchronous or synchronous e-learning, has grown rapidly and is now widely used in education. Concerns about the effectiveness of blended learning have led to an increasing number of studies on this topic. However, there has yet to be a quantitative synthesis evaluating the effectiveness of blended learning on knowledge acquisition in health professions.

          Objective

          We aimed to assess the effectiveness of blended learning for health professional learners compared with no intervention and with nonblended learning. We also aimed to explore factors that could explain differences in learning effects across study designs, participants, country socioeconomic status, intervention durations, randomization, and quality score for each of these questions.

          Methods

          We conducted a search of citations in Medline, CINAHL, Science Direct, Ovid Embase, Web of Science, CENTRAL, and ERIC through September 2014. Studies in any language that compared blended learning with no intervention or nonblended learning among health professional learners and assessed knowledge acquisition were included. Two reviewers independently evaluated study quality and abstracted information including characteristics of learners and intervention (study design, exercises, interactivity, peer discussion, and outcome assessment).

          Results

          We identified 56 eligible articles. Heterogeneity across studies was large (I 2 ≥93.3) in all analyses. For studies comparing knowledge gained from blended learning versus no intervention, the pooled effect size was 1.40 (95% CI 1.04-1.77; P<.001; n=20 interventions) with no significant publication bias, and exclusion of any single study did not change the overall result. For studies comparing blended learning with nonblended learning (pure e-learning or pure traditional face-to-face learning), the pooled effect size was 0.81 (95% CI 0.57-1.05; P<.001; n=56 interventions), and exclusion of any single study did not change the overall result. Although significant publication bias was found, the trim and fill method showed that the effect size changed to 0.26 (95% CI -0.01 to 0.54) after adjustment. In the subgroup analyses, pre-posttest study design, presence of exercises, and objective outcome assessment yielded larger effect sizes.

          Conclusions

          Blended learning appears to have a consistent positive effect in comparison with no intervention, and to be more effective than or at least as effective as nonblended instruction for knowledge acquisition in health professions. Due to the large heterogeneity, the conclusion should be treated with caution.

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          Most cited references88

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          What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction

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            Appraising the quality of medical education research methods: the Medical Education Research Study Quality Instrument and the Newcastle-Ottawa Scale-Education.

            The Medical Education Research Study Quality Instrument (MERSQI) and the Newcastle-Ottawa Scale-Education (NOS-E) were developed to appraise methodological quality in medical education research. The study objective was to evaluate the interrater reliability, normative scores, and between-instrument correlation for these two instruments.
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              Instructional design variations in internet-based learning for health professions education: a systematic review and meta-analysis.

              A recent systematic review (2008) described the effectiveness of Internet-based learning (IBL) in health professions education. A comprehensive synthesis of research investigating how to improve IBL is needed. This systematic review sought to provide such a synthesis. The authors searched MEDLINE, CINAHL, EMBASE, Web of Science, Scopus, ERIC, TimeLit, and the University of Toronto Research and Development Resource Base for articles published from 1990 through November 2008. They included all studies quantifying the effect of IBL compared with another Internet-based or computer-assisted instructional intervention on practicing and student physicians, nurses, pharmacists, dentists, and other health professionals. Reviewers working independently and in duplicate abstracted information, coded study quality, and grouped studies according to inductively identified themes. From 2,705 articles, the authors identified 51 eligible studies, including 30 randomized trials. The pooled effect size (ES) for learning outcomes in 15 studies investigating high versus low interactivity was 0.27 (95% confidence interval, 0.08-0.46; P = .006). Also associated with higher learning were practice exercises (ES 0.40 [0.08-0.71; P = .01]; 10 studies), feedback (ES 0.68 [0.01-1.35; P = .047]; 2 studies), and repetition of study material (ES 0.19 [0.09-0.30; P or=89%) in most analyses. Meta-analyses for other themes generally yielded imprecise results. Interactivity, practice exercises, repetition, and feedback seem to be associated with improved learning outcomes, although inconsistency across studies tempers conclusions. Evidence for other instructional variations remains inconclusive.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J. Med. Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications Inc. (Toronto, Canada )
                1439-4456
                1438-8871
                January 2016
                04 January 2016
                : 18
                : 1
                : e2
                Affiliations
                [1] 1Department of Epidemiology and Biostatistics School of Public Health Tongji Medical College of Huazhong University of Science &Technology WuhanChina
                Author notes
                Corresponding Author: Weirong Yan weirong.yan@ 123456hust.edu.cn
                Author information
                http://orcid.org/0000-0003-0646-7245
                http://orcid.org/0000-0003-3407-6882
                http://orcid.org/0000-0002-5995-7953
                http://orcid.org/0000-0002-0946-7286
                http://orcid.org/0000-0002-1986-9406
                http://orcid.org/0000-0003-0533-4555
                Article
                v18i1e2
                10.2196/jmir.4807
                4717286
                26729058
                7b2e0464-5447-4b64-a8cc-38d3652c91e7
                ©Qian Liu, Weijun Peng, Fan Zhang, Rong Hu, Yingxue Li, Weirong Yan. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 04.01.2016.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 24 June 2015
                : 18 July 2015
                : 28 August 2015
                : 7 October 2015
                Categories
                Original Paper
                Original Paper

                Medicine
                blended learning,effectiveness,knowledge,health professions,meta-analysis
                Medicine
                blended learning, effectiveness, knowledge, health professions, meta-analysis

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