Efficacy of virtual reality techniques in cardiopulmonary resuscitation training: protocol for a meta-analysis of randomised controlled trials and trial sequential analysis

Abstract

IntroductionCardiopulmonary resuscitation (CPR) is the most critical procedure in the rescue of patients with sudden cardiac death (SCD). The success rate of CPR remains far below expectations, which made CPR education identified as the top priority for SCD. CPR training using the virtual reality (VR) technique is a feasible training method, with a wider population and lower cost, but its efficacy remains controversial. Thus, we will perform a protocol for a systematic review and meta-analysis to identify the efficacy of the VR technique on CPR quality.Methods and analysisWe will search PubMed, Web of Science, Cochrane Library, Ovid Medline, Embase, China National Knowledge Infrastructure, Chinese BioMedical Literature, Wanfang and VIP databases from inception to November 2021, to identify randomised controlled trials and the first period in randomised cross-over trials assessing the efficacy of VR techniques versus non-VR techniques for adult participants accepting adult CPR training. No language restrictions will be considered. Data synthesis will be performed using RevMan V.5.4 and Stata/MP V.16.0. Outcome measures will be present as relative risk with 95% CIs for dichotomous data and mean difference with 95% CIs for continuous data. The primary outcome will be the CPR quality defined as chest compression rate and depth. Secondary outcomes will be the overall performance of CPR. Heterogeneity will be assessed by the χ2 test and I2 statistic. Data will be synthesised by either fixed-effects or random-effects models according to the I2 value. Trial sequential analysis and modified Jadad Scale will be used to control the risks of random errors and evaluate the evidence quality. Egger’s regression test and funnel plots will be used to assess the publication bias.Ethics and disseminationEthical approval was not required for this systematic review protocol. The findings will be disseminated through peer-reviewed publications.PROSPERO registration numberCRD42021281059.