Online digital education for postregistration training of medical doctors : systematic review by the digital health education collaboration
Background: Globally, online and local area network–based (LAN) digital education (ODE) has grown in popularity. Blended learning is used by ODE along with traditional learning. Studies have shown the increasing potential of these technologies in training medical doctors; however, the evidence for i...
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Randomized Controlled Trials Effectiveness Science::Medicine |
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Randomized Controlled Trials Effectiveness Science::Medicine George, Pradeep Paul Zhabenko, Olena Kyaw, Bhone Myint Antoniou, Panagiotis Posadzki, Pawel Saxena, Nakul Semwal, Monika Tudor Car, Lorainne Zary, Nabil Lockwood, Craig Car, Josip Online digital education for postregistration training of medical doctors : systematic review by the digital health education collaboration |
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Background: Globally, online and local area network–based (LAN) digital education (ODE) has grown in popularity. Blended learning is used by ODE along with traditional learning. Studies have shown the increasing potential of these technologies in training medical doctors; however, the evidence for its effectiveness and cost-effectiveness is unclear. Objective: This systematic review evaluated the effectiveness of online and LAN-based ODE in improving practicing medical doctors’ knowledge, skills, attitude, satisfaction (primary outcomes), practice or behavior change, patient outcomes, and cost-effectiveness (secondary outcomes). Methods: We searched seven electronic databased for randomized controlled trials, cluster-randomized trials, and quasi-randomized trials from January 1990 to March 2017. Two review authors independently extracted data and assessed the risk of bias. We have presented the findings narratively. We mainly compared ODE with self-directed/face-to-face learning and blended learning with self-directed/face-to-face learning. Results: A total of 93 studies (N=16,895) were included, of which 76 compared ODE (including blended) and self-directed/face-to-face learning. Overall, the effect of ODE (including blended) on postintervention knowledge, skills, attitude, satisfaction, practice or behavior change, and patient outcomes was inconsistent and ranged mostly from no difference between the groups to higher postintervention score in the intervention group (small to large effect size, very low to low quality evidence). Twenty-one studies reported higher knowledge scores (small to large effect size and very low quality) for the intervention, while 20 studies reported no difference in knowledge between the groups. Seven studies reported higher skill score in the intervention (large effect size and low quality), while 13 studies reported no difference in the skill scores between the groups. One study reported a higher attitude score for the intervention (very low quality), while four studies reported no difference in the attitude score between the groups. Four studies reported higher postintervention physician satisfaction with the intervention (large effect size and low quality), while six studies reported no difference in satisfaction between the groups. Eight studies reported higher postintervention practice or behavior change for the ODE group (small to moderate effect size and low quality), while five studies reported no difference in practice or behavior change between the groups. One study reported higher improvement in patient outcome, while three others reported no difference in patient outcome between the groups. None of the included studies reported any unintended/adverse effects or cost-effectiveness of the interventions. Conclusions: Empiric evidence showed that ODE and blended learning may be equivalent to self-directed/face-to-face learning for training practicing physicians. Few other studies demonstrated that ODE and blended learning may significantly improve learning outcomes compared to self-directed/face-to-face learning. The quality of the evidence in these studies was found to be very low for knowledge. Further high-quality randomized controlled trials are required to confirm these findings. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
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Lee Kong Chian School of Medicine (LKCMedicine) George, Pradeep Paul Zhabenko, Olena Kyaw, Bhone Myint Antoniou, Panagiotis Posadzki, Pawel Saxena, Nakul Semwal, Monika Tudor Car, Lorainne Zary, Nabil Lockwood, Craig Car, Josip |
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Article |
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George, Pradeep Paul Zhabenko, Olena Kyaw, Bhone Myint Antoniou, Panagiotis Posadzki, Pawel Saxena, Nakul Semwal, Monika Tudor Car, Lorainne Zary, Nabil Lockwood, Craig Car, Josip |
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George, Pradeep Paul |
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Online digital education for postregistration training of medical doctors : systematic review by the digital health education collaboration |
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Online digital education for postregistration training of medical doctors : systematic review by the digital health education collaboration |
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Online digital education for postregistration training of medical doctors : systematic review by the digital health education collaboration |
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Online digital education for postregistration training of medical doctors : systematic review by the digital health education collaboration |
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Online digital education for postregistration training of medical doctors : systematic review by the digital health education collaboration |
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online digital education for postregistration training of medical doctors : systematic review by the digital health education collaboration |
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2019 |
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https://hdl.handle.net/10356/86028 http://hdl.handle.net/10220/49267 |
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sg-ntu-dr.10356-860282020-11-01T05:27:36Z Online digital education for postregistration training of medical doctors : systematic review by the digital health education collaboration George, Pradeep Paul Zhabenko, Olena Kyaw, Bhone Myint Antoniou, Panagiotis Posadzki, Pawel Saxena, Nakul Semwal, Monika Tudor Car, Lorainne Zary, Nabil Lockwood, Craig Car, Josip Lee Kong Chian School of Medicine (LKCMedicine) Centre for Population Health Sciences Family Medicine and Primary Care Medical Education Research and Scholarship Unit Randomized Controlled Trials Effectiveness Science::Medicine Background: Globally, online and local area network–based (LAN) digital education (ODE) has grown in popularity. Blended learning is used by ODE along with traditional learning. Studies have shown the increasing potential of these technologies in training medical doctors; however, the evidence for its effectiveness and cost-effectiveness is unclear. Objective: This systematic review evaluated the effectiveness of online and LAN-based ODE in improving practicing medical doctors’ knowledge, skills, attitude, satisfaction (primary outcomes), practice or behavior change, patient outcomes, and cost-effectiveness (secondary outcomes). Methods: We searched seven electronic databased for randomized controlled trials, cluster-randomized trials, and quasi-randomized trials from January 1990 to March 2017. Two review authors independently extracted data and assessed the risk of bias. We have presented the findings narratively. We mainly compared ODE with self-directed/face-to-face learning and blended learning with self-directed/face-to-face learning. Results: A total of 93 studies (N=16,895) were included, of which 76 compared ODE (including blended) and self-directed/face-to-face learning. Overall, the effect of ODE (including blended) on postintervention knowledge, skills, attitude, satisfaction, practice or behavior change, and patient outcomes was inconsistent and ranged mostly from no difference between the groups to higher postintervention score in the intervention group (small to large effect size, very low to low quality evidence). Twenty-one studies reported higher knowledge scores (small to large effect size and very low quality) for the intervention, while 20 studies reported no difference in knowledge between the groups. Seven studies reported higher skill score in the intervention (large effect size and low quality), while 13 studies reported no difference in the skill scores between the groups. One study reported a higher attitude score for the intervention (very low quality), while four studies reported no difference in the attitude score between the groups. Four studies reported higher postintervention physician satisfaction with the intervention (large effect size and low quality), while six studies reported no difference in satisfaction between the groups. Eight studies reported higher postintervention practice or behavior change for the ODE group (small to moderate effect size and low quality), while five studies reported no difference in practice or behavior change between the groups. One study reported higher improvement in patient outcome, while three others reported no difference in patient outcome between the groups. None of the included studies reported any unintended/adverse effects or cost-effectiveness of the interventions. Conclusions: Empiric evidence showed that ODE and blended learning may be equivalent to self-directed/face-to-face learning for training practicing physicians. Few other studies demonstrated that ODE and blended learning may significantly improve learning outcomes compared to self-directed/face-to-face learning. The quality of the evidence in these studies was found to be very low for knowledge. Further high-quality randomized controlled trials are required to confirm these findings. Published version 2019-07-10T09:07:05Z 2019-12-06T16:14:39Z 2019-07-10T09:07:05Z 2019-12-06T16:14:39Z 2019 Journal Article George, P. P., Zhabenko, O., Kyaw, B. M., Antoniou, P., Posadzki, P., Saxena, N., . . . Car, J. (2019). Online digital education for postregistration training of medical doctors : systematic review by the digital health education collaboration. Journal of Medical Internet Research, 21(2), e13269-. doi:10.2196/13269 1439-4456 https://hdl.handle.net/10356/86028 http://hdl.handle.net/10220/49267 10.2196/13269 en Journal of Medical Internet Research © 2019 Pradeep Paul George, Olena Zhabenko, Bhone Myint Kyaw, Panagiotis Antoniou, Pawel Posadzki, Nakul Saxena, Monika Semwal, Lorainne Tudor Car, Nabil Zary, Craig Lockwood, Josip Car. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 25.02.2019. 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. 24 p. application/pdf |