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Effect of a real-time feedback smartphone application (TCPRLink) on the quality of telephone-assisted CPR performed by trained laypeople in China: a manikin-based randomised controlled study

机译:实时反馈智能手机应用(TCPRLINK)对中国培训的培训人员进行电话辅助CPR质量的影响:基于Manikin的随机对照研究

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摘要

Objectives To determine the effect of a free smartphone application (TCPRLink) that provides real-time monitoring and audiovisual feedback on chest compressions (CC) on trained layperson telephone-assisted cardiopulmonary resuscitation (T-CPR) performance.Design A manikin-based randomised controlled study.Setting This study was conducted at a multidisciplinary university and a community centre in China.Participants One hundred and eighty-six adult participants (age 18–65 years) with T-CPR training experience were randomly assigned to the TCPRLink (n=94) and T-CPR (n=92) groups with age stratification.Interventions We compared the participants’ performance for 6 min of CC in a simulated T-CPR scenario both at the baseline and after 3 months.Primary and secondary outcome measures The primary outcomes were the CC rate and proportion of adequate CC rate (100–120 min−1). The secondary outcomes included the proportion of participants counting the CC rhythm, time to first CC, CC depth, hands-off time and CC full-release ratio.Results Participants in the TCPRLink feedback group more consistently performed CC with higher rate, both initially and 3 months later (median 111 (IQR 109–113) vs 108 (103–112) min−1, p=0.002 and 111 (109–113) vs 108 (105–112) min−1, p<0.001, respectively), with less need to count the rhythm (21.3% vs 41.3%, p=0.003% and 7% vs 22.6%, p=0.004, respectively) compared with the T-CPR group. There were no significant differences in time to the first CC, hands-off time or CC full-release ratio. Among 55–65 year group, the CC depth was deeper in the TCPRLink group than in the TCPR group (47.1±9.6 vs 38.5±8.7 mm, p=0.001 and 44.7±10.1 vs 39.3±10.8 mm, p=0.07, respectively).Conclusions The TCPRLink application improved T-CPR quality in trained laypersons to provide more effective CCs and lighten the load of counting out the CC with the dispatcher in a simulated T-CPR scenario. Further investigations are required to confirm this effectiveness in real-life resuscitation attempts.
机译:目标是确定免费智能手机应用程序(TCPRLINK)的效果,该智能手机(TCPRLINK)在培训的Layperson电话辅助心肺复苏(T-CPR)性能上提供实时监测和视听反馈的实时监测和视听反馈。设计了一种基于Manikin的随机控制学习。本研究在多学科大学和中国的社区中心进行。百分比百分之百和八十六年的成年参与者(18-65岁)随机分配给TCPRLink(n = 94 )和T-CPR(n = 92)组,具有年龄分层。我们在基线和3个月后,将参与者在模拟的T-CPR情景中与6分钟的CC进行比较。提高和二次结果测量主要结果是CC速率和足够的CC速率比例(100-120 min-1)。二次结果包括计算CC节奏的参与者的比例,第一CC,CC深度,obs-Off时间和CC全释放比率。方法中的参与者在TCPRLINK反馈组中更始终如一的CC,最初和速度更高3个月后(中位数111(IQR 109-113)vs 108(103-112)min-1,p = 0.002和111(109-113)分别为108(105-112)min-1,p <0.001)与T-CPR组相比,较少需要计算节奏(21.3%vs 41.3%,P = 0.003%和7%,P = 0.004,P = 0.004)。对于第一个CC,off-Off时间或CC全释放比没有显着差异。在55-65年组中,CC深度在TCPRLINK组中更深,而不是TCPR组(47.1±9.6 Vs 38.5±8.7 mm,P = 0.001和44.7±10.1 Vs 39.3±10.8 mm,P = 0.07)结论TCPRLINK应用程序改进了训练的PATPERSONS中的T-CPR质量,以提供更有效的CCS,并在模拟T-CPR场景中使用调度员计算CC的负荷。需要进一步调查来确认现实生活复苏尝试中的这种有效性。

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