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利用澳大利亚和新西兰重症监护学会结局与资源评估中心临床登记系统识别和评估潜在高死亡率的重症监护病房。

Identification and assessment of potentially high-mortality intensive care units using the ANZICS Centre for Outcome and Resource Evaluation clinical registry.

作者信息

McClean Kerry, Mullany Daniel, Huckson Sue, van Lint Allison, Chavan Shaila, Hicks Peter, Hart Graeme, Paul Eldho, Pilcher David

机构信息

Centre for Outcome and Resource Evaluation, Australian and New Zealand Intensive Care Society, Melbourne, Australia.

Critical Care Research Group, Adult Intensive Care Services, Prince Charles Hospital and University of Queensland, Brisbane, Australia.

出版信息

Crit Care Resusc. 2017 Sep;19(3):230-238.

Abstract

PURPOSE

A hospital's highest-risk patients are managed in the intensive care unit. Outcomes are determined by patients' severity of illness, existing comorbidities and by processes of care delivered. The Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcome and Resource Evaluation (CORE) manages a binational clinical registry to benchmark performance, and report and assess ICUs which appear to have worse outcomes than others.

METHODS

A descriptive retrospective cohort study was undertaken to detail processes, outcomes, limitations and practical lessons learnt from monitoring ICU performance throughout Australia and New Zealand. All ICUs contributing to the ANZICS Adult Patient Database between 2009 and 2014 were included. A potential outlier ICU was defined as one with a statistically significantly higher standardised mortality ratio (SMR) than its peer group.

RESULTS

There were 757 188 admissions to 168 ICUs. Of these, 27 ICUs (16%) were identified as potential outlier ICUs at least once. Data quality problems led to inaccurate or artificially elevated SMRs at 16/27 ICUs. Variation in diagnostic casemix partly or completely explained the elevated SMR at 15/27 ICUs. At nine ICUs where data quality and casemix differences did not explain the elevated SMR, process-of-care problems were identified.

CONCLUSIONS

A combination of routine monitoring techniques, statistical analysis and contextual interpretation of findings is required to ensure potential outlier ICUs are appropriately identified. This ensures engagement and understanding from clinicians and jurisdictional health departments, while contributing to the improvement of ICU practices throughout Australia and New Zealand.

摘要

目的

医院中风险最高的患者在重症监护病房接受治疗。治疗结果由患者的疾病严重程度、现有的合并症以及所提供的护理流程决定。澳大利亚和新西兰重症监护学会(ANZICS)结果与资源评估中心(CORE)管理着一个双边临床登记处,用于对绩效进行基准评估,并报告和评估那些似乎比其他重症监护病房治疗结果更差的病房。

方法

开展了一项描述性回顾性队列研究,以详细说明从澳大利亚和新西兰各地监测重症监护病房绩效中获得的流程、结果、局限性和实际经验教训。纳入了2009年至2014年间向ANZICS成人患者数据库提供数据的所有重症监护病房。潜在的异常值重症监护病房被定义为标准化死亡率(SMR)在统计学上显著高于其同组病房的病房。

结果

168个重症监护病房共收治了757188名患者。其中,27个重症监护病房(16%)至少有一次被确定为潜在的异常值重症监护病房。数据质量问题导致16/27的重症监护病房的SMR不准确或人为升高。诊断病例组合的差异部分或完全解释了15/27的重症监护病房SMR升高的原因。在9个数据质量和病例组合差异无法解释SMR升高的重症监护病房中,发现了护理流程问题。

结论

需要结合常规监测技术、统计分析和对结果的背景解读,以确保正确识别潜在的异常值重症监护病房。这可确保临床医生和辖区卫生部门的参与和理解,同时有助于改善澳大利亚和新西兰各地的重症监护病房医疗实践。

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