Virtual patient simulations in health professions education: systematic review and meta-analysis by the digital health education collaboration
Background: Virtual patients are interactive digital simulations of clinical scenarios for the purpose of health professions education. There is no current collated evidence on the effectiveness of this form of education. Objective: The goal of this study was to evaluate the effectiveness of virtual...
Saved in:
Main Authors: | , , , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/83516 http://hdl.handle.net/10220/49750 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-83516 |
---|---|
record_format |
dspace |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Science::Medicine Professional Education Computer Simulation |
spellingShingle |
Science::Medicine Professional Education Computer Simulation Kononowicz, Andrzej A. Woodham, Luke A. Edelbring, Samuel Stathakarou, Natalia Davies, David Saxena, Nakul Tudor Car, Lorainne Carlstedt-Duke, Jan Car, Josip Zary, Nabil Virtual patient simulations in health professions education: systematic review and meta-analysis by the digital health education collaboration |
description |
Background: Virtual patients are interactive digital simulations of clinical scenarios for the purpose of health professions education. There is no current collated evidence on the effectiveness of this form of education. Objective: The goal of this study was to evaluate the effectiveness of virtual patients compared with traditional education, blended with traditional education, compared with other types of digital education, and design variants of virtual patients in health professions education. The outcomes of interest were knowledge, skills, attitudes, and satisfaction. Methods: We performed a systematic review on the effectiveness of virtual patient simulations in pre- and postregistration health professions education following Cochrane methodology. We searched 7 databases from the year 1990 up to September 2018. No language restrictions were applied. We included randomized controlled trials and cluster randomized trials. We independently selected studies, extracted data, and assessed risk of bias and then compared the information in pairs. We contacted study authors for additional information if necessary. All pooled analyses were based on random-effects models. Results: A total of 51 trials involving 4696 participants met our inclusion criteria. Furthermore, 25 studies compared virtual patients with traditional education, 11 studies investigated virtual patients as blended learning, 5 studies compared virtual patients with different forms of digital education, and 10 studies compared different design variants. The pooled analysis of studies comparing the effect of virtual patients to traditional education showed similar results for knowledge (standardized mean difference [SMD]=0.11, 95% CI −0.17 to 0.39, I2=74%, n=927) and favored virtual patients for skills (SMD=0.90, 95% CI 0.49 to 1.32, I2=88%, n=897). Studies measuring attitudes and satisfaction predominantly used surveys with item-by-item comparison. Trials comparing virtual patients with different forms of digital education and design variants were not numerous enough to give clear recommendations. Several methodological limitations in the included studies and heterogeneity contributed to a generally low quality of evidence. Conclusions: Low to modest and mixed evidence suggests that when compared with traditional education, virtual patients can more effectively improve skills, and at least as effectively improve knowledge. The skills that improved were clinical reasoning, procedural skills, and a mix of procedural and team skills. We found evidence of effectiveness in both high-income and low- and middle-income countries, demonstrating the global applicability of virtual patients. Further research should explore the utility of different design variants of virtual patients. |
author2 |
Lee Kong Chian School of Medicine (LKCMedicine) |
author_facet |
Lee Kong Chian School of Medicine (LKCMedicine) Kononowicz, Andrzej A. Woodham, Luke A. Edelbring, Samuel Stathakarou, Natalia Davies, David Saxena, Nakul Tudor Car, Lorainne Carlstedt-Duke, Jan Car, Josip Zary, Nabil |
format |
Article |
author |
Kononowicz, Andrzej A. Woodham, Luke A. Edelbring, Samuel Stathakarou, Natalia Davies, David Saxena, Nakul Tudor Car, Lorainne Carlstedt-Duke, Jan Car, Josip Zary, Nabil |
author_sort |
Kononowicz, Andrzej A. |
title |
Virtual patient simulations in health professions education: systematic review and meta-analysis by the digital health education collaboration |
title_short |
Virtual patient simulations in health professions education: systematic review and meta-analysis by the digital health education collaboration |
title_full |
Virtual patient simulations in health professions education: systematic review and meta-analysis by the digital health education collaboration |
title_fullStr |
Virtual patient simulations in health professions education: systematic review and meta-analysis by the digital health education collaboration |
title_full_unstemmed |
Virtual patient simulations in health professions education: systematic review and meta-analysis by the digital health education collaboration |
title_sort |
virtual patient simulations in health professions education: systematic review and meta-analysis by the digital health education collaboration |
publishDate |
2019 |
url |
https://hdl.handle.net/10356/83516 http://hdl.handle.net/10220/49750 |
_version_ |
1683493385110814720 |
spelling |
sg-ntu-dr.10356-835162020-11-01T05:16:00Z Virtual patient simulations in health professions education: systematic review and meta-analysis by the digital health education collaboration Kononowicz, Andrzej A. Woodham, Luke A. Edelbring, Samuel Stathakarou, Natalia Davies, David Saxena, Nakul Tudor Car, Lorainne Carlstedt-Duke, Jan Car, Josip Zary, Nabil Lee Kong Chian School of Medicine (LKCMedicine) Centre for Population Health Sciences Games for Health Innovations Centre Science::Medicine Professional Education Computer Simulation Background: Virtual patients are interactive digital simulations of clinical scenarios for the purpose of health professions education. There is no current collated evidence on the effectiveness of this form of education. Objective: The goal of this study was to evaluate the effectiveness of virtual patients compared with traditional education, blended with traditional education, compared with other types of digital education, and design variants of virtual patients in health professions education. The outcomes of interest were knowledge, skills, attitudes, and satisfaction. Methods: We performed a systematic review on the effectiveness of virtual patient simulations in pre- and postregistration health professions education following Cochrane methodology. We searched 7 databases from the year 1990 up to September 2018. No language restrictions were applied. We included randomized controlled trials and cluster randomized trials. We independently selected studies, extracted data, and assessed risk of bias and then compared the information in pairs. We contacted study authors for additional information if necessary. All pooled analyses were based on random-effects models. Results: A total of 51 trials involving 4696 participants met our inclusion criteria. Furthermore, 25 studies compared virtual patients with traditional education, 11 studies investigated virtual patients as blended learning, 5 studies compared virtual patients with different forms of digital education, and 10 studies compared different design variants. The pooled analysis of studies comparing the effect of virtual patients to traditional education showed similar results for knowledge (standardized mean difference [SMD]=0.11, 95% CI −0.17 to 0.39, I2=74%, n=927) and favored virtual patients for skills (SMD=0.90, 95% CI 0.49 to 1.32, I2=88%, n=897). Studies measuring attitudes and satisfaction predominantly used surveys with item-by-item comparison. Trials comparing virtual patients with different forms of digital education and design variants were not numerous enough to give clear recommendations. Several methodological limitations in the included studies and heterogeneity contributed to a generally low quality of evidence. Conclusions: Low to modest and mixed evidence suggests that when compared with traditional education, virtual patients can more effectively improve skills, and at least as effectively improve knowledge. The skills that improved were clinical reasoning, procedural skills, and a mix of procedural and team skills. We found evidence of effectiveness in both high-income and low- and middle-income countries, demonstrating the global applicability of virtual patients. Further research should explore the utility of different design variants of virtual patients. Published version 2019-08-22T06:14:14Z 2019-12-06T15:24:40Z 2019-08-22T06:14:14Z 2019-12-06T15:24:40Z 2019 Journal Article Kononowicz, A. A., Woodham, L. A., Edelbring, S., Stathakarou, N., Davies, D., Saxena, N., . . . Zary, N. (2019). Virtual Patient Simulations in Health Professions Education: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration. Journal of Medical Internet Research, 21(7), e14676-. doi:10.2196/14676 1439-4456 https://hdl.handle.net/10356/83516 http://hdl.handle.net/10220/49750 10.2196/14676 en Journal of Medical Internet Research © 2019 Andrzej A Kononowicz, Luke A Woodham, Samuel Edelbring, Natalia Stathakarou, David Davies, Nakul Saxena, Lorainne Tudor Car, Jan Carlstedt-Duke, Josip Car, Nabil Zary. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 01.07.2019. 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. 20 p. application/pdf |