A systematic review of selected evidence on improving knowledge and skills through high-fidelity simulation

A systematic review of the evidence published between 2000 and 2010 was undertaken using the following databases: CINAHL, ProQuest, MEDLINE, Science Direct, OVID and Chinese Academic Journal. Empirical studies determining the effects of high-fidelity simulation on knowledge and skills in nursing or...

Full description

Saved in:
Bibliographic Details
Published in:Nurse education today 2012-04, Vol.32 (3), p.294-298
Main Authors: Yuan, Hao Bin, Williams, Beverly A., Fang, Jin Bo, Ye, Qian Hong
Format: Article
Language:English
Subjects:
Academic journals
Clinical Competence - statistics & numerical data
Clinical evaluation
Clinical trials
Controlled Clinical Trials as Topic
Education, Nursing - methods
High-fidelity simulation
Humans
Knowledge
Medical education
Nursing
Nursing education
Nursing Education Research
Nursing Evaluation Research
Nursing skills
Patient Simulation
Randomized Controlled Trials as Topic
Simulation
Skill
Systematic review
Testing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A systematic review of the evidence published between 2000 and 2010 was undertaken using the following databases: CINAHL, ProQuest, MEDLINE, Science Direct, OVID and Chinese Academic Journal. Empirical studies determining the effects of high-fidelity simulation on knowledge and skills in nursing or medical education were considered. As a result, nine English and seventeen Chinese studies were retrieved. They included sixteen randomized controlled trails (RCTs), one nonrandomized-controlled trial, and nine quasi-experimental studies. The high-fidelity simulation did enhance the scores on knowledge and skill exams but its contribution to objective structured clinical evaluation is mixed. The majority of reviewed RCTs are of low methodological quality. It is necessary to conduct additional RCTs with larger sample sizes to determine whether performance can be enhanced by high-fidelity simulation.
ISSN:0260-6917
1532-2793
DOI:10.1016/j.nedt.2011.07.010