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漏斗图是一种用于评估人群表现和创伤护理质量的图形工具:实施蓝图。

Funnel plots a graphical instrument for the evaluation of population performance and quality of trauma care: a blueprint of implementation.

机构信息

Dutch Network for Emergency Care (LNAZ), Newtonlaan 115, 3584 BH, Utrecht, The Netherlands.

Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.

出版信息

Eur J Trauma Emerg Surg. 2023 Feb;49(1):513-522. doi: 10.1007/s00068-022-02100-z. Epub 2022 Sep 9.

Abstract

BACKGROUND

Using patient outcomes to monitor medical centre performance has become an essential part of modern health care. However, classic league tables generally inflict stigmatization on centres rated as "poor performers", which has a negative effect on public trust and professional morale. In the present study, we aim to illustrate that funnel plots, including trends over time, can be used as a method to control the quality of data and to monitor and assure the quality of trauma care. Moreover, we aimed to present a set of regulations on how to interpret and act on underperformance or overperformance trends presented in funnel plots.

METHODS

A retrospective observational cohort study was performed using the Dutch National Trauma Registry (DNTR). Two separate datasets were created to assess the effects of healthy and multiple imputations to cope with missing values. Funnel plots displaying the performance of all trauma-receiving hospitals in 2020 were generated, and in-hospital mortality was used as the main indicator of centre performance. Indirect standardization was used to correct for differences in the types of cases. Comet plots were generated displaying the performance trends of two level-I trauma centres since 2017 and 2018.

RESULTS

Funnel plots based on data using healthy imputation for missing values can highlight centres lacking good data quality. A comet plot illustrates the performance trend over multiple years, which is more indicative of a centre's performance compared to a single measurement. Trends analysis offers the opportunity to closely monitor an individual centres' performance and direct evaluation of initiated improvement strategies.

CONCLUSION

This study describes the use of funnel and comet plots as a method to monitor and assure high-quality data and to evaluate trauma centre performance over multiple years. Moreover, this is the first study to provide a regulatory blueprint on how to interpret and act on the under- or overperformance of trauma centres. Further evaluations are needed to assess its functionality.

LEVEL OF EVIDENCE

Retrospective study, level III.

摘要

背景

利用患者结局来监测医疗中心的绩效已成为现代医疗保健的重要组成部分。然而,传统的排行榜通常会给被评为“表现不佳”的中心带来污名化,这对公众信任和专业士气产生负面影响。在本研究中,我们旨在说明包括随时间变化趋势的漏斗图可作为一种控制数据质量以及监测和保证创伤护理质量的方法。此外,我们旨在提出一套关于如何解释和应对漏斗图中表现不佳或表现优异趋势的规定。

方法

采用荷兰国家创伤登记处(DNTR)进行回顾性观察队列研究。创建了两个独立的数据集,以评估健康数据和多次插补来处理缺失值的影响。生成显示所有接受创伤治疗的医院在 2020 年表现的漏斗图,并将院内死亡率用作中心表现的主要指标。间接标准化用于校正病例类型的差异。生成彗星图,显示自 2017 年和 2018 年以来两家一级创伤中心的表现趋势。

结果

基于使用健康插补处理缺失值的数据的漏斗图可以突出表现数据质量不佳的中心。彗星图说明了多年来的表现趋势,与单一测量相比,更能说明中心的表现。趋势分析提供了密切监测单个中心表现并直接评估启动的改进策略的机会。

结论

本研究描述了使用漏斗图和彗星图作为一种方法来监测和保证多年来高质量数据以及评估创伤中心表现。此外,这是第一项提供如何解释和应对创伤中心表现不佳或表现优异的规定蓝图的研究。需要进一步评估来评估其功能。

证据水平

回顾性研究,III 级。

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