Efficacy of high-fidelity simulation in advanced life support training: a systematic review and meta-analysis of randomized controlled trials.

ALS High-fidelity simulation Meta-analysis Participant’s confidence Skill performance

Journal

BMC medical education
ISSN: 1472-6920
Titre abrégé: BMC Med Educ
Pays: England
ID NLM: 101088679

Informations de publication

Date de publication:
14 Sep 2023
Historique:
received: 25 04 2023
accepted: 05 09 2023
medline: 18 9 2023
pubmed: 15 9 2023
entrez: 14 9 2023
Statut: epublish

Résumé

Simulation is an increasingly used novel method for the education of medical professionals. This study aimed to systematically review the efficacy of high-fidelity (HF) simulation compared with low-fidelity (LF) simulation or no simulation in advanced life support (ALS) training. A comprehensive search of the PubMed, Chinese Biomedicine Database, Embase, CENTRAL, ISI, and China Knowledge Resource Integrated Database was performed to identify randomized controlled trials (RCTs) that evaluated the use of HF simulation in ALS training. Quality assessment was based on the Cochrane Handbook for Systematic Reviews of Interventions version 5.0.1. The primary outcome was the improvement of knowledge and skill performance. The secondary outcomes included the participants' confidence and satisfaction at the course conclusion, skill performance at one year, skill performance in actual resuscitation, and patient outcomes. Data were synthesized using the RevMan 5.4 software. Altogether, 25 RCTs with a total of 1,987 trainees were included in the meta-analysis. In the intervention group, 998 participants used HF manikins, whereas 989 participants received LF simulation-based or traditional training (classical training without simulation). Pooled data from the RCTs demonstrated a benefit in improvement of knowledge [standardized mean difference (SMD) = 0.38; 95% confidence interval (CI): 0.18-0.59, P = 0.0003, I Learners using HF simulation more significantly benefited from the ALS training in terms of knowledge and skill performance at the course conclusion. However, further research is necessary to enhance long-term retention of knowledge and skill in actual resuscitation and patient's outcomes.

Sections du résumé

BACKGROUND BACKGROUND
Simulation is an increasingly used novel method for the education of medical professionals. This study aimed to systematically review the efficacy of high-fidelity (HF) simulation compared with low-fidelity (LF) simulation or no simulation in advanced life support (ALS) training.
METHODS METHODS
A comprehensive search of the PubMed, Chinese Biomedicine Database, Embase, CENTRAL, ISI, and China Knowledge Resource Integrated Database was performed to identify randomized controlled trials (RCTs) that evaluated the use of HF simulation in ALS training. Quality assessment was based on the Cochrane Handbook for Systematic Reviews of Interventions version 5.0.1. The primary outcome was the improvement of knowledge and skill performance. The secondary outcomes included the participants' confidence and satisfaction at the course conclusion, skill performance at one year, skill performance in actual resuscitation, and patient outcomes. Data were synthesized using the RevMan 5.4 software.
RESULTS RESULTS
Altogether, 25 RCTs with a total of 1,987 trainees were included in the meta-analysis. In the intervention group, 998 participants used HF manikins, whereas 989 participants received LF simulation-based or traditional training (classical training without simulation). Pooled data from the RCTs demonstrated a benefit in improvement of knowledge [standardized mean difference (SMD) = 0.38; 95% confidence interval (CI): 0.18-0.59, P = 0.0003, I
CONCLUSIONS CONCLUSIONS
Learners using HF simulation more significantly benefited from the ALS training in terms of knowledge and skill performance at the course conclusion. However, further research is necessary to enhance long-term retention of knowledge and skill in actual resuscitation and patient's outcomes.

Identifiants

pubmed: 37710261
doi: 10.1186/s12909-023-04654-x
pii: 10.1186/s12909-023-04654-x
pmc: PMC10500810
doi:

Types de publication

Meta-Analysis Systematic Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

664

Subventions

Organisme : Sichuan Province Science and Technology Support Program
ID : 2023NSFSC1475
Organisme : Health Commission of Sichuan Province
ID : 2023-207
Organisme : Sichuan Provincial People's Hospital
ID : 2021ZX01
Organisme : Ministry of Education Hainan Medical University
ID : KLET-202104
Organisme : Peking Union Medical Foundation
ID : R2021012

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

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Auteurs

Qin Zeng (Q)

Joint Laboratory of Reproductive Medicine, Key Laboratory of Obstetric, Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, SCU-CUHK, Sichuan University, Chengdu, 610041, P. R. China.
Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, The Affiliated Women's and children's Hospital of Chengdu Medical College, Chengdu, 610045, China.

Kai Wang (K)

Department of Acute Care Surgery, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China.

Wei-Xin Liu (WX)

Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, The Affiliated Women's and children's Hospital of Chengdu Medical College, Chengdu, 610045, China.

Jiu-Zhi Zeng (JZ)

Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, The Affiliated Women's and children's Hospital of Chengdu Medical College, Chengdu, 610045, China.

Xing-Lan Li (XL)

Department of pathology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China.

Qing-Feng Zhang (QF)

Ultrasound in Cardiac Electrophysiology and Biomechanics Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China.

Shang-Qing Ren (SQ)

Robotic Minimally Invasive Surgery Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China. rsq0516@163.com.

Wen-Ming Xu (WM)

Joint Laboratory of Reproductive Medicine, Key Laboratory of Obstetric, Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, SCU-CUHK, Sichuan University, Chengdu, 610041, P. R. China. xuwenming@scu.edu.cn.

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