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Educational efficacy of high-fidelity simulation in neonatal resuscitation training: a systematic review and meta-analysis
BACKGROUND: The training of neonatal resuscitation is an important part in the clinical teaching of neonatology. This study aimed to identify the educational efficacy of high-fidelity simulation compared with no simulation or low-fidelity simulation in neonatal resuscitation training. METHODS: The P...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716944/ https://www.ncbi.nlm.nih.gov/pubmed/31464614 http://dx.doi.org/10.1186/s12909-019-1763-z |
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author | Huang, Jichong Tang, Ying Tang, Jun Shi, Jing Wang, Hua Xiong, Tao Xia, Bin Zhang, Li Qu, Yi Mu, Dezhi |
author_facet | Huang, Jichong Tang, Ying Tang, Jun Shi, Jing Wang, Hua Xiong, Tao Xia, Bin Zhang, Li Qu, Yi Mu, Dezhi |
author_sort | Huang, Jichong |
collection | PubMed |
description | BACKGROUND: The training of neonatal resuscitation is an important part in the clinical teaching of neonatology. This study aimed to identify the educational efficacy of high-fidelity simulation compared with no simulation or low-fidelity simulation in neonatal resuscitation training. METHODS: The PubMed, EMBASE, Cochrane Library, ClinicalTrials.gov, Chinese databases (CBM, CNKI, WanFang, and Weipu), ScopeMed and Google Scholar were searched. The last search was updated on April 13, 2019. Studies that reported the role of high-fidelity simulation in neonatal resuscitation training were eligible for inclusion. For the quality evaluation, we used the Cochrane Risk of Bias tool for RCTs and Risk Of Bias In Non-randomized Studies of Interventions (ROBINS-I) tool for non-RCTs. A standardized mean difference (SMD) with a 95% confidence interval (CI) was applied for the estimation of the pooled effects of RCTs. RESULTS: Fifteen studies (10 RCTs and 5 single arm pre-post studies) were ultimately included. Performance bias existed in all RCTs because participant blinding to the simulator is impossible. The assessment of the risk of bias of single arm pre-post studies showed only one study was of high quality with a low risk of bias whereas four were of low quality with a serious risk of bias. The pooled results of single arm pre-post studies by meta-analysis showed a large benefit with high-fidelity simulation in skill performance (SMD 1.34; 95% CI 0.50–2.18). The meta-analysis of RCTs showed a large benefit in skill performance (SMD 1.63; 95% CI 0.49–2.77) and a moderate benefit in neonatal resuscitation knowledge (SMD 0.69; 95% CI 0.42–0.96) with high-fidelity simulation when compared with traditional training. Additionally, a moderate benefit in skill performance (SMD 0.64; 95% CI 0.06–1.21) and a small benefit was shown in knowledge (SMD 0.39; 95% CI 0.08–0.71) with high-fidelity simulation when compared with low-fidelity simulation. CONCLUSIONS: Improvements of efficacy were shown both in resuscitation knowledge and skill performance immediately after training. However, in current studies, the long-time retention of benefits is controversial, and these benefits may not transfer to the real-life situations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12909-019-1763-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6716944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-67169442019-09-04 Educational efficacy of high-fidelity simulation in neonatal resuscitation training: a systematic review and meta-analysis Huang, Jichong Tang, Ying Tang, Jun Shi, Jing Wang, Hua Xiong, Tao Xia, Bin Zhang, Li Qu, Yi Mu, Dezhi BMC Med Educ Research Article BACKGROUND: The training of neonatal resuscitation is an important part in the clinical teaching of neonatology. This study aimed to identify the educational efficacy of high-fidelity simulation compared with no simulation or low-fidelity simulation in neonatal resuscitation training. METHODS: The PubMed, EMBASE, Cochrane Library, ClinicalTrials.gov, Chinese databases (CBM, CNKI, WanFang, and Weipu), ScopeMed and Google Scholar were searched. The last search was updated on April 13, 2019. Studies that reported the role of high-fidelity simulation in neonatal resuscitation training were eligible for inclusion. For the quality evaluation, we used the Cochrane Risk of Bias tool for RCTs and Risk Of Bias In Non-randomized Studies of Interventions (ROBINS-I) tool for non-RCTs. A standardized mean difference (SMD) with a 95% confidence interval (CI) was applied for the estimation of the pooled effects of RCTs. RESULTS: Fifteen studies (10 RCTs and 5 single arm pre-post studies) were ultimately included. Performance bias existed in all RCTs because participant blinding to the simulator is impossible. The assessment of the risk of bias of single arm pre-post studies showed only one study was of high quality with a low risk of bias whereas four were of low quality with a serious risk of bias. The pooled results of single arm pre-post studies by meta-analysis showed a large benefit with high-fidelity simulation in skill performance (SMD 1.34; 95% CI 0.50–2.18). The meta-analysis of RCTs showed a large benefit in skill performance (SMD 1.63; 95% CI 0.49–2.77) and a moderate benefit in neonatal resuscitation knowledge (SMD 0.69; 95% CI 0.42–0.96) with high-fidelity simulation when compared with traditional training. Additionally, a moderate benefit in skill performance (SMD 0.64; 95% CI 0.06–1.21) and a small benefit was shown in knowledge (SMD 0.39; 95% CI 0.08–0.71) with high-fidelity simulation when compared with low-fidelity simulation. CONCLUSIONS: Improvements of efficacy were shown both in resuscitation knowledge and skill performance immediately after training. However, in current studies, the long-time retention of benefits is controversial, and these benefits may not transfer to the real-life situations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12909-019-1763-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-29 /pmc/articles/PMC6716944/ /pubmed/31464614 http://dx.doi.org/10.1186/s12909-019-1763-z Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Article Huang, Jichong Tang, Ying Tang, Jun Shi, Jing Wang, Hua Xiong, Tao Xia, Bin Zhang, Li Qu, Yi Mu, Dezhi Educational efficacy of high-fidelity simulation in neonatal resuscitation training: a systematic review and meta-analysis |
title | Educational efficacy of high-fidelity simulation in neonatal resuscitation training: a systematic review and meta-analysis |
title_full | Educational efficacy of high-fidelity simulation in neonatal resuscitation training: a systematic review and meta-analysis |
title_fullStr | Educational efficacy of high-fidelity simulation in neonatal resuscitation training: a systematic review and meta-analysis |
title_full_unstemmed | Educational efficacy of high-fidelity simulation in neonatal resuscitation training: a systematic review and meta-analysis |
title_short | Educational efficacy of high-fidelity simulation in neonatal resuscitation training: a systematic review and meta-analysis |
title_sort | educational efficacy of high-fidelity simulation in neonatal resuscitation training: a systematic review and meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716944/ https://www.ncbi.nlm.nih.gov/pubmed/31464614 http://dx.doi.org/10.1186/s12909-019-1763-z |
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