20
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      e-Learning in Surgical Education: A Systematic Review

      , , , ,
      Journal of Surgical Education
      Elsevier BV

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          e-Learning involves the delivery of educational content through web-based methods. Owing to work-hour restrictions and changing practice patterns in surgery, e-learning can offer an effective alternative to traditional teaching. Our aims were to (1) identify current modalities of e-learning, (2) assess the efficacy of e-learning as an intervention in surgical education through a systematic review of the literature, and (3) discuss the relevance of e-learning as an educational tool in surgical education. This is the first such systematic review in this field.

          Related collections

          Most cited references58

          • Record: found
          • Abstract: found
          • Article: not found

          The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration

          Systematic reviews and meta-analyses are essential to summarise evidence relating to efficacy and safety of healthcare interventions accurately and reliably. The clarity and transparency of these reports, however, are not optimal. Poor reporting of systematic reviews diminishes their value to clinicians, policy makers, and other users. Since the development of the QUOROM (quality of reporting of meta-analysis) statement—a reporting guideline published in 1999—there have been several conceptual, methodological, and practical advances regarding the conduct and reporting of systematic reviews and meta-analyses. Also, reviews of published systematic reviews have found that key information about these studies is often poorly reported. Realising these issues, an international group that included experienced authors and methodologists developed PRISMA (preferred reporting items for systematic reviews and meta-analyses) as an evolution of the original QUOROM guideline for systematic reviews and meta-analyses of evaluations of health care interventions. The PRISMA statement consists of a 27-item checklist and a four-phase flow diagram. The checklist includes items deemed essential for transparent reporting of a systematic review. In this explanation and elaboration document, we explain the meaning and rationale for each checklist item. For each item, we include an example of good reporting and, where possible, references to relevant empirical studies and methodological literature. The PRISMA statement, this document, and the associated website (www.prisma-statement.org/) should be helpful resources to improve reporting of systematic reviews and meta-analyses.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The impact of E-learning in medical education.

            The authors provide an introduction to e-learning and its role in medical education by outlining key terms, the components of e-learning, the evidence for its effectiveness, faculty development needs for implementation, evaluation strategies for e-learning and its technology, and how e-learning might be considered evidence of academic scholarship. E-learning is the use of Internet technologies to enhance knowledge and performance. E-learning technologies offer learners control over content, learning sequence, pace of learning, time, and often media, allowing them to tailor their experiences to meet their personal learning objectives. In diverse medical education contexts, e-learning appears to be at least as effective as traditional instructor-led methods such as lectures. Students do not see e-learning as replacing traditional instructor-led training but as a complement to it, forming part of a blended-learning strategy. A developing infrastructure to support e-learning within medical education includes repositories, or digital libraries, to manage access to e-learning materials, consensus on technical standardization, and methods for peer review of these resources. E-learning presents numerous research opportunities for faculty, along with continuing challenges for documenting scholarship. Innovations in e-learning technologies point toward a revolution in education, allowing learning to be individualized (adaptive learning), enhancing learners' interactions with others (collaborative learning), and transforming the role of the teacher. The integration of e-learning into medical education can catalyze the shift toward applying adult learning theory, where educators will no longer serve mainly as the distributors of content, but will become more involved as facilitators of learning and assessors of competency.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Internet-based learning in the health professions: a meta-analysis.

              The increasing use of Internet-based learning in health professions education may be informed by a timely, comprehensive synthesis of evidence of effectiveness. To summarize the effect of Internet-based instruction for health professions learners compared with no intervention and with non-Internet interventions. Systematic search of MEDLINE, Scopus, CINAHL, EMBASE, ERIC, TimeLit, Web of Science, Dissertation Abstracts, and the University of Toronto Research and Development Resource Base from 1990 through 2007. Studies in any language quantifying the association of Internet-based instruction and educational outcomes for practicing and student physicians, nurses, pharmacists, dentists, and other health care professionals compared with a no-intervention or non-Internet control group or a preintervention assessment. Two reviewers independently evaluated study quality and abstracted information including characteristics of learners, learning setting, and intervention (including level of interactivity, practice exercises, online discussion, and duration). There were 201 eligible studies. Heterogeneity in results across studies was large (I(2) > or = 79%) in all analyses. Effect sizes were pooled using a random effects model. The pooled effect size in comparison to no intervention favored Internet-based interventions and was 1.00 (95% confidence interval [CI], 0.90-1.10; P < .001; n = 126 studies) for knowledge outcomes, 0.85 (95% CI, 0.49-1.20; P < .001; n = 16) for skills, and 0.82 (95% CI, 0.63-1.02; P < .001; n = 32) for learner behaviors and patient effects. Compared with non-Internet formats, the pooled effect sizes (positive numbers favoring Internet) were 0.10 (95% CI, -0.12 to 0.32; P = .37; n = 43) for satisfaction, 0.12 (95% CI, 0.003 to 0.24; P = .045; n = 63) for knowledge, 0.09 (95% CI, -0.26 to 0.44; P = .61; n = 12) for skills, and 0.51 (95% CI, -0.24 to 1.25; P = .18; n = 6) for behaviors or patient effects. No important treatment-subgroup interactions were identified. Internet-based learning is associated with large positive effects compared with no intervention. In contrast, effects compared with non-Internet instructional methods are heterogeneous and generally small, suggesting effectiveness similar to traditional methods. Future research should directly compare different Internet-based interventions.
                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of Surgical Education
                Journal of Surgical Education
                Elsevier BV
                19317204
                November 2015
                November 2015
                : 72
                : 6
                : 1145-1157
                Article
                10.1016/j.jsurg.2015.05.008
                26111822
                530d631d-d130-43ea-9d2f-9a1b431af306
                © 2015

                https://www.elsevier.com/tdm/userlicense/1.0/

                History

                Comments

                Comment on this article