{"title":"A systematic review and meta-analysis of studies on extended reality-based pediatric nursing simulation program development.","authors":"Eun Joo Kim, Ji Young Lim, Geun Myun Kim","doi":"10.4094/chnr.2023.29.1.24","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This systematic literature review and meta-analysis explored extended reality (XR)-based pediatric nursing simulation programs and analyzed their effectiveness.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":37360,"journal":{"name":"Child Health Nursing Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a8/84/chnr-29-1-24.PMC9925301.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Child Health Nursing Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4094/chnr.2023.29.1.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 1
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.
目的:本系统文献综述和荟萃分析探讨了基于扩展现实(XR)的儿科护理模拟程序，并分析了其有效性。方法:在MEDLINE、Embase、Cochrane Central Register of Controlled Trials (Central)和CINAHL等电子数据库中检索2022年5月1日至30日的文献。搜索期为2000年至2022年。根据纳入和排除标准，共审查了6095篇文章，其中14篇文章入选最终内容分析，10篇文章入选meta分析。数据分析采用描述性统计和综合元分析程序。结果:自2019年以来，基于x射线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是最常见的，有六项研究。总效应量为0.84(95%可信区间=0.50-1.19,z=4.82)，具有统计学意义。结论:基于研究结果，我们建议制定标准化的虚拟儿科护理模拟教育和实践操作指南。同时，为了验证最有效的仿真方法，需要更复杂的研究设计来进行效果测量，并需要各种虚拟仿真方法的组合应用。
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