Kevin Muirhead
The characteristics of effective technology-enabled dementia education: a systematic review and mixed research synthesis
Muirhead, Kevin; Macaden, Leah; Smyth, Keith; Chandler, Colin; Clarke, Charlotte; Polson, Rob; O’Malley, Chris
Authors
Leah Macaden
Keith Smyth
Colin Chandler
Professor Charlotte Clarke charlotte.clarke@durham.ac.uk
Associate Pro-Vice Chancellor for Health
Rob Polson
Chris O’Malley
Abstract
Background Dementia education is required to address gaps in dementia-specific knowledge among health and social care practitioners amidst increasing dementia prevalence. Harnessing technology for dementia education may remove obstacles to traditional education and empower large communities of learners. This systematic review aimed to establish the technological and pedagogical characteristics associated with effective technology-enabled dementia education for health and social care practitioners. Methods MEDLINE, PubMed, Web of Science, CINAHL, Scopus, PsycINFO, ERIC and OVID Nursing Database were searched from January 2005 until February 2020. Quantitative, qualitative and mixed methods studies were eligible for inclusion. Study quality was assessed with the Mixed Methods Appraisal Tool. Quantitative evidence was categorised based on Kirkpatrick’s Model. Qualitative data was synthesised thematically and integrated with quantitative findings before conclusions were drawn. Results Twenty-one published papers were identified. Participants were acute, primary and long-term care practitioners, or were students in higher education. Most training was internet-based; CD-ROMs, simulations and tele-mentoring were also described. Technology-enabled dementia education was predominantly associated with positive effects on learning outcomes. Case-based instruction was the most frequently described instructional strategy and videos were common modes of information delivery. Qualitative themes emerged as existing strengths and experience; knowledge gaps and uncertainty; developing core competence and expertise; involving relevant others; and optimising feasibility. Discussion Technology-enabled dementia education is likely to improve dementia knowledge, skills and attitudes among health and social care practitioners from multiple practice contexts. Confidence in the results from quantitative studies was undermined by multiple confounding factors that may be difficult to control in the educational research context. Convenience and flexibility are key benefits of technology-enabled instructive and simulated pedagogy that can support the application of theory into practice. More research is required to understand the role of online learning networks and provisions for equitable engagement. A future emphasis on organisational and environmental factors may elucidate the role of technology in ameliorating obstacles to traditional dementia education.
Citation
Muirhead, K., Macaden, L., Smyth, K., Chandler, C., Clarke, C., Polson, R., & O’Malley, C. (2022). The characteristics of effective technology-enabled dementia education: a systematic review and mixed research synthesis. Systematic Reviews, 11(1), https://doi.org/10.1186/s13643-021-01866-4
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 2, 2021 |
Online Publication Date | Feb 23, 2022 |
Publication Date | 2022 |
Deposit Date | May 31, 2022 |
Publicly Available Date | May 31, 2022 |
Journal | Systematic Reviews |
Electronic ISSN | 2046-4053 |
Publisher | BioMed Central |
Peer Reviewed | Peer Reviewed |
Volume | 11 |
Issue | 1 |
DOI | https://doi.org/10.1186/s13643-021-01866-4 |
Public URL | https://durham-repository.worktribe.com/output/1202056 |
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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
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