Couper Keith, Mason Alexina J, Gould Doug, Nolan Jerry P, Soar Jasmeet, Yeung Joyce, Harrison David, Perkins Gavin D
Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK; Critical Care Unit, Birmingham Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Intensive Care National Audit & Research Centre, London, UK.
Resuscitation. 2020 Jun;151:166-172. doi: 10.1016/j.resuscitation.2020.04.006. Epub 2020 Apr 15.
To explore whether variation in in-hospital cardiac arrest (IHCA) survival can be explained by differences in resuscitation service provision across UK acute hospitals.
We linked information on key clinical practices with patient data of adults who had a cardiac arrest on a general hospital ward or emergency admissions unit in 2016/17. We used multi-level Bayesian models to explore associations between system quality indicators (number of resuscitation officers, audits time to first shock, review unexpected non-survivors, arrest team meets at handover, hot debrief, cold debrief, real-time audio-visual feedback, frequency of mock arrest provision) and adjusted hospital survival.
We received survey responses from 110 out of 180 eligible hospitals (response rate 61%) relating to 12,285 cardiac arrest cases. Variation across trusts was observed in the number of resuscitation officers (median 0.7 (interquartile range 0.5, 0.9) per 750 clinical staff employed. Key system quality indicators were undertaken infrequently: audit of time to first shock (44.7%), arrest team meeting at handover (28.9%), mock arrests ≥ monthly (22.4%), and use of CPR feedback devices (18.4%). The probability that the system quality indicators had a positive effect on hospital survival ranged from 10% to 89%. However, there was uncertainty in the estimated odds ratios and we cannot exclude the possibility of a clinical benefit. Findings were consistent across secondary outcomes.
In this study, we identified variation in implementation of system quality indicators. Amongst hospitals that responded to our survey, the probability that individual factors increase the odds of hospital survival ranges from 10 to 89%.
探讨英国各急性医院复苏服务提供方面的差异能否解释院内心脏骤停(IHCA)生存率的差异。
我们将关键临床实践信息与2016/17年在综合医院病房或急诊入院单元发生心脏骤停的成年患者数据相联系。我们使用多层次贝叶斯模型来探究系统质量指标(复苏人员数量、首次电击时间审核、意外非存活者审查、交接时骤停团队会面、热汇报、冷汇报、实时视听反馈、模拟骤停提供频率)与调整后的医院生存率之间的关联。
我们收到了180家合格医院中110家(回复率61%)的调查回复,涉及12,285例心脏骤停病例。各信托机构的复苏人员数量存在差异(每750名临床工作人员的中位数为0.7(四分位间距0.5, 0.9))。关键系统质量指标的执行频率较低:首次电击时间审核(44.7%)、交接时骤停团队会面(28.9%)、每月≥1次模拟骤停(22.4%)以及使用心肺复苏反馈设备(18.4%)。系统质量指标对医院生存产生积极影响的概率在10%至89%之间。然而,估计的优势比存在不确定性,我们不能排除临床获益的可能性。次要结局的研究结果一致。
在本研究中,我们发现系统质量指标的实施存在差异。在回复我们调查的医院中,个体因素增加医院生存几率的概率在10%至89%之间。