Lin Yiqun, Lockey Andrew, Donoghue Aaron, Greif Robert, Cortegiani Andrea, Farquharson Barbara, Siddiqui Fahad Javaid, Banerjee Arna, Matsuyama Tasuku, Cheng Adam
KidSIM-ASPIRE Simulation Research Program, Alberta Children's Hospital, University of Calgary, Calgary, Canada.
Emergency Department, Calderdale & Huddersfield NHS Trust, Halifax, UK.
Resusc Plus. 2025 Mar 22;23:100939. doi: 10.1016/j.resplu.2025.100939. eCollection 2025 May.
The use of cardiopulmonary resuscitation (CPR) feedback devices during training is increasing. This review evaluates whether incorporating CPR feedback devices in training improves patient survival, CPR quality in actual resuscitation, skill acquisition and retention after training.
This systematic review was part of the continuous evidence evaluation process of the International Liaison Committee on Resuscitation (ILCOR). We searched MEDLINE, EMBASE, and SCOPUS databases from inception to September 30, 2024, including randomized controlled trials (RCTs) in all languages (with an English abstract) comparing CPR training with and without feedback devices. Outcome included patient survival, quality of clinical performance in resuscitation, and CPR skill acquisition and retention. Non-RCT studies, unpublished work without peer review or animal studies were excluded. Risk of bias was assessed using Cochrane tools, and certainty of evidence was graded using the Grading of Recommendations Assessment, development and Evaluation (GRADE) approach. Standardized mean difference (SMD) were calculated and pooled effects were analyzed using random-effects models. PROSPERO CRD42023488130.
We identified 20 RCTs with 4579 participants. Risks of bias ranged from low to critical (low: 8, moderate: 9, and critical: 3). No studies evaluated the patient survival, clinical performance in resuscitation or cost-effectiveness. Compared to no feedback, using CPR feedback devices during training significantly improved key quality metrics. Pooled effect sizes were 0.76 (95%CI 0.02 - 1.50) for mean compression depth (15 studies), 0.98 (95%CI: 0.10 - 1.87) for depth compliance (16 studies), 0.29 (95%CI: 0.10 - 0.48) for mean rate (17 studies), 0.44 (95%CI: 0.23 - 0.66) for rate compliance (9 studies), and 0.53 (95%CI: 0.31 - 0.75) for recoil compliance (10 studies) in favour of using feedback devices during training. Heterogeneity was large (I > 50%) in all analyses. Planned subgroup analyses revealed no statistically significant interaction between healthcare professionals and laypersons. Using the GRADE approach, the certainty of evidence was downgraded for certain outcomes due to critical risk of bias for 3 studies and inconsistency but upgraded for strong association.
The use of CPR feedback devices during resuscitation training improves key quality metrics of CPR performance, with moderate to high certainty of evidence. However, further studies are needed to evaluate the impact on cost-effectiveness, clinical performance and patient outcomes.
在培训期间使用心肺复苏(CPR)反馈设备的情况日益增多。本综述评估在培训中纳入CPR反馈设备是否能提高患者生存率、实际复苏中的CPR质量、培训后的技能获取和保留情况。
本系统综述是国际复苏联合会(ILCOR)持续证据评估过程的一部分。我们检索了MEDLINE、EMBASE和SCOPUS数据库,检索时间从建库至2024年9月30日,包括所有语言(有英文摘要)的随机对照试验(RCT),比较有和没有反馈设备的CPR培训。结局指标包括患者生存率、复苏中的临床操作质量以及CPR技能的获取和保留情况。排除非RCT研究、未经同行评审的未发表作品或动物研究。使用Cochrane工具评估偏倚风险,并采用推荐分级的评估、制定和评价(GRADE)方法对证据的确定性进行分级。计算标准化均数差(SMD),并使用随机效应模型分析合并效应。国际前瞻性系统评价注册库编号:CRD42023488130。
我们纳入了20项RCT,共4579名参与者。偏倚风险从低到高(低:8项,中度:9项,高:3项)。没有研究评估患者生存率、复苏中的临床表现或成本效益。与无反馈相比,在培训期间使用CPR反馈设备显著改善了关键质量指标。平均按压深度的合并效应量为0.76(95%CI 0.02 - 1.50)(15项研究),深度达标率为0.98(95%CI:0.10 - 1.87)(16项研究),平均速率为0.29(95%CI:0.10 - 0.48)(17项研究),速率达标率为0.44(95%CI:0.23 - 0.66)(9项研究),回弹达标率为0.53(95%CI:0.31 - 0.75)(10项研究),均支持在培训期间使用反馈设备。所有分析中的异质性都很大(I²>50%)。计划中的亚组分析显示,医疗专业人员和非专业人员之间没有统计学上的显著交互作用。使用GRADE方法,由于3项研究存在高偏倚风险和不一致性,某些结局的证据确定性被下调,但因强关联性而被上调。
在复苏培训期间使用CPR反馈设备可改善CPR操作的关键质量指标,证据具有中度至高确定性。然而,需要进一步研究来评估其对成本效益、临床表现和患者结局的影响。