Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration
Background: The use of digital education in problem-based learning, or digital problem-based learning (DPBL), is increasingly employed in health professions education. DPBL includes purely digitally delivered as well as blended problem-based learning, wherein digital and face-to-face learning are co...
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Randomized Controlled Trials Effectiveness Science::Medicine Car, Lorainne Tudor Kyaw, Bhone Myint Dunleavy, Gerard Smart, Neil A. Semwal, Monika Rotgans, Jerome Ingmar Low-Beer, Naomi Campbell, James Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration |
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Background: The use of digital education in problem-based learning, or digital problem-based learning (DPBL), is increasingly employed in health professions education. DPBL includes purely digitally delivered as well as blended problem-based learning, wherein digital and face-to-face learning are combined. Objective: The aim of this review is to evaluate the effectiveness of DPBL in improving health professionals’ knowledge, skills, attitudes, and satisfaction. Methods: We used the gold-standard Cochrane methods to conduct a systematic review of randomized controlled trials (RCTs). We included studies that compared the effectiveness of DPBL with traditional learning methods or other forms of digital education in improving health professionals’ knowledge, skills, attitudes, and satisfaction. Two authors independently screened studies, extracted data, and assessed the risk of bias. We contacted study authors for additional information, if necessary. We used the random-effects model in the meta-analyses. Results: Nine RCTs involving 890 preregistration health professionals were included. Digital technology was mostly employed for presentation of problems. In three studies, PBL was delivered fully online. Digital technology modalities spanned online learning, offline learning, virtual reality, and virtual patients. The control groups consisted of traditional PBL and traditional learning. The pooled analysis of seven studies comparing the effect of DPBL and traditional PBL reported little or no difference in postintervention knowledge outcomes (standardized mean difference [SMD] 0.19, 95% CI 0.00-0.38). The pooled analysis of three studies comparing the effect of DPBL to traditional learning on postintervention knowledge outcomes favored DPBL (SMD 0.67, 95% CI 0.14-1.19). For skill development, the pooled analysis of two studies comparing DPBL to traditional PBL favored DPBL (SMD 0.30, 95% CI 0.07-0.54). Findings on attitudes and satisfaction outcomes were mixed. The included studies mostly had an unclear risk of bias. Conclusions: Our findings suggest that DPBL is as effective as traditional PBL and more effective than traditional learning in improving knowledge. DPBL may be more effective than traditional learning or traditional PBL in improving skills. Further studies should evaluate the use of digital technology for the delivery of other PBL components as well as PBL overall. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
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Lee Kong Chian School of Medicine (LKCMedicine) Car, Lorainne Tudor Kyaw, Bhone Myint Dunleavy, Gerard Smart, Neil A. Semwal, Monika Rotgans, Jerome Ingmar Low-Beer, Naomi Campbell, James |
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Article |
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Car, Lorainne Tudor Kyaw, Bhone Myint Dunleavy, Gerard Smart, Neil A. Semwal, Monika Rotgans, Jerome Ingmar Low-Beer, Naomi Campbell, James |
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Car, Lorainne Tudor |
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Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration |
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Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration |
title_full |
Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration |
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Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration |
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Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration |
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digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration |
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2019 |
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https://hdl.handle.net/10356/86023 http://hdl.handle.net/10220/49249 |
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sg-ntu-dr.10356-860232022-09-12T08:15:52Z Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration Car, Lorainne Tudor Kyaw, Bhone Myint Dunleavy, Gerard Smart, Neil A. Semwal, Monika Rotgans, Jerome Ingmar Low-Beer, Naomi Campbell, James Lee Kong Chian School of Medicine (LKCMedicine) Family Medicine and Primary Care Centre for Population Health Sciences Medical Education Research Unit Randomized Controlled Trials Effectiveness Science::Medicine Background: The use of digital education in problem-based learning, or digital problem-based learning (DPBL), is increasingly employed in health professions education. DPBL includes purely digitally delivered as well as blended problem-based learning, wherein digital and face-to-face learning are combined. Objective: The aim of this review is to evaluate the effectiveness of DPBL in improving health professionals’ knowledge, skills, attitudes, and satisfaction. Methods: We used the gold-standard Cochrane methods to conduct a systematic review of randomized controlled trials (RCTs). We included studies that compared the effectiveness of DPBL with traditional learning methods or other forms of digital education in improving health professionals’ knowledge, skills, attitudes, and satisfaction. Two authors independently screened studies, extracted data, and assessed the risk of bias. We contacted study authors for additional information, if necessary. We used the random-effects model in the meta-analyses. Results: Nine RCTs involving 890 preregistration health professionals were included. Digital technology was mostly employed for presentation of problems. In three studies, PBL was delivered fully online. Digital technology modalities spanned online learning, offline learning, virtual reality, and virtual patients. The control groups consisted of traditional PBL and traditional learning. The pooled analysis of seven studies comparing the effect of DPBL and traditional PBL reported little or no difference in postintervention knowledge outcomes (standardized mean difference [SMD] 0.19, 95% CI 0.00-0.38). The pooled analysis of three studies comparing the effect of DPBL to traditional learning on postintervention knowledge outcomes favored DPBL (SMD 0.67, 95% CI 0.14-1.19). For skill development, the pooled analysis of two studies comparing DPBL to traditional PBL favored DPBL (SMD 0.30, 95% CI 0.07-0.54). Findings on attitudes and satisfaction outcomes were mixed. The included studies mostly had an unclear risk of bias. Conclusions: Our findings suggest that DPBL is as effective as traditional PBL and more effective than traditional learning in improving knowledge. DPBL may be more effective than traditional learning or traditional PBL in improving skills. Further studies should evaluate the use of digital technology for the delivery of other PBL components as well as PBL overall. Published version 2019-07-10T04:55:01Z 2019-12-06T16:14:33Z 2019-07-10T04:55:01Z 2019-12-06T16:14:33Z 2019 Journal Article Care, L. T., Kyaw, B. M., Dunleavy, G., Smart, N. A., Semwal, M., Rotgans, J. I., . . . Campbell, J. (2019). Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration. Journal of Medical Internet Research, 21(2), e12945-. doi:10.2196/12945 1439-4456 https://hdl.handle.net/10356/86023 http://hdl.handle.net/10220/49249 10.2196/12945 en Journal of Medical Internet Research © 2019 Lorainne Tudor Car, Bhone Myint Kyaw, Gerard Dunleavy, Neil A Smart, Monika Semwal, Jerome I Rotgans, Naomi Low-Beer, James Campbell. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 28.02.2019. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), 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. 12 p. application/pdf |