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基于扩展现实的儿科护理模拟程序开发研究的系统评价与荟萃分析

A systematic review and meta-analysis of studies on extended reality-based pediatric nursing simulation program development.

作者信息

Kim Eun Joo, Lim Ji Young, Kim Geun Myun

机构信息

Associate Professor, Department of Nursing, Gangneung-Wonju National University, Wonju, Korea.

Professor, Department of Nursing, Inha University, Incheon, Korea.

出版信息

Child Health Nurs Res. 2023 Jan;29(1):24-36. doi: 10.4094/chnr.2023.29.1.24. Epub 2023 Jan 31.

Abstract

PURPOSE

This systematic literature review and meta-analysis explored extended reality (XR)-based pediatric nursing simulation programs and analyzed their effectiveness.

METHODS

A literature search was conducted between May 1 and 30, 2022 in the following electronic databases: MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and CINAHL. The search period was from 2000 to 2022. In total, 6,095 articles were reviewed according to the inclusion and exclusion criteria, and 14 articles were selected for the final content analysis and 10 for the meta-analysis. Data analysis was performed using descriptive statistics and the Comprehensive Meta- Analysis program.

RESULTS

XR-based pediatric nursing simulation programs have increased since 2019. Studies using virtual reality with manikins or high-fidelity simulators were the most common, with six studies. The total effect size was statistically significant at 0.84 (95% confidence interval=0.50-1.19, z=4.82, p<.001).

CONCLUSION

Based on the findings, we suggest developing standardized guidelines for the operation of virtual pediatric nursing simulation education and practice. Simultaneously, the application of more sophisticated research designs for effect measurement and the combined applications of various virtual simulation methods are needed to validate the most effective simulation methodology.

摘要

目的

本系统文献综述和荟萃分析探讨了基于扩展现实(XR)的儿科护理模拟项目,并分析了其有效性。

方法

于2022年5月1日至30日在以下电子数据库中进行文献检索:医学文献数据库(MEDLINE)、荷兰医学文摘数据库(Embase)、考克兰系统评价数据库(CENTRAL)和护理学与健康领域数据库(CINAHL)。检索时间段为2000年至2022年。根据纳入和排除标准,共筛选了6095篇文章,最终选取14篇进行内容分析,10篇进行荟萃分析。使用描述性统计和综合荟萃分析程序进行数据分析。

结果

自2019年以来,基于XR的儿科护理模拟项目有所增加。使用虚拟现实与人体模型或高保真模拟器的研究最为常见,共有6项研究。总效应量具有统计学意义,为0.84(95%置信区间=0.50 - 1.19,z = 4.82,p <.001)。

结论

基于研究结果,我们建议制定虚拟儿科护理模拟教育与实践操作的标准化指南。同时,需要应用更复杂的研究设计来测量效果,并结合多种虚拟模拟方法的应用,以验证最有效的模拟方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4925/9925301/f910a26f0bbc/chnr-29-1-24f1.jpg

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