Abstract：
OBJECTIVE: 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).
CONCLUSIONS: 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.
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).
CONCLUSIONS: 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索了基于扩展现实（XR）的儿科护理模拟程序，并分析了其有效性。
方法：2022年5月1日至30日在以下电子数据库中进行了文献检索：MEDLINE，Embase,Cochrane中央对照试验登记册（中央），和CINAHL。搜索期为2000年至2022年。总的来说,根据纳入和排除标准审查了6,095篇文章，选择14篇文章进行最终内容分析，10篇进行荟萃分析。使用描述性统计和综合元分析程序进行数据分析。
结果：自2019年以来，基于XR的儿科护理模拟计划有所增加。最常见的研究是使用人体模型或高保真模拟器进行虚拟现实，六项研究总效应大小在0.84处具有统计学意义（95％置信区间=0.50-1.19，z=4.82，p<.001）。
结论：根据调查结果，我们建议为虚拟儿科护理模拟教育和实践的操作制定标准化指南。同时,为了验证最有效的模拟方法，需要应用更复杂的研究设计来进行效果测量和各种虚拟模拟方法的组合应用。
方法：2022年5月1日至30日在以下电子数据库中进行了文献检索：MEDLINE，Embase,Cochrane中央对照试验登记册（中央），和CINAHL。搜索期为2000年至2022年。总的来说,根据纳入和排除标准审查了6,095篇文章，选择14篇文章进行最终内容分析，10篇进行荟萃分析。使用描述性统计和综合元分析程序进行数据分析。
结果：自2019年以来，基于XR的儿科护理模拟计划有所增加。最常见的研究是使用人体模型或高保真模拟器进行虚拟现实，六项研究总效应大小在0.84处具有统计学意义（95％置信区间=0.50-1.19，z=4.82，p<.001）。
结论：根据调查结果，我们建议为虚拟儿科护理模拟教育和实践的操作制定标准化指南。同时,为了验证最有效的模拟方法，需要应用更复杂的研究设计来进行效果测量和各种虚拟模拟方法的组合应用。
