Hubert Hervé, Guinhouya Comlavi, Castra Laurent, Soubrier Stéphane, Vilhelm Christian, Ravaux Pierre, Lemdani Mohamed, Durocher Alain, Saulnier Fabienne
EA 3614 LEM-MOSCADES, Institute of Engineering in Health of Lille (ILIS), University of Lille 2, 59120 Loos, France.
J Crit Care. 2007 Sep;22(3):184-90. doi: 10.1016/j.jcrc.2006.11.007. Epub 2007 Mar 30.
The purpose of the study was to present a methodological approach enabling the comparison of clinical and economic performances of intensive care units and a graphical visualization based on these 2 dimensions.
A retrospective analysis of a database of 666 patients admitted in intensive care units over a period of 2 consecutive months.
Calculation of clinical performance is based on the difference between the mortality observed and forecast from the Simplified Acute Physiology Score version 2. The evaluation of resource consumption is carried out from the measure of medical and paramedical care workload. These 2 scores are modeled on the basis of the length of stay and the severity state of the patient. The economic performance is calculated on the basis of the difference between the resource consumption observed and forecast. The graphs are constructed by taking up as coordinates the values of the clinical and economic performances of each center.
These graphs enable the identification of the most deviating intensive care units to study, for example, their organizational, technical, or human resource setup accounting for their position.
本研究的目的是提出一种方法，用于比较重症监护病房的临床和经济绩效，并基于这两个维度进行图形可视化展示。
对连续两个月内入住重症监护病房的666例患者的数据库进行回顾性分析。
临床绩效的计算基于观察到的死亡率与简化急性生理学评分第2版预测的死亡率之间的差异。资源消耗的评估是根据医疗和辅助医疗护理工作量的测量进行的。这两个评分是根据住院时间和患者的严重程度状态建立模型的。经济绩效是根据观察到的资源消耗与预测的资源消耗之间的差异计算得出的。通过将每个中心的临床和经济绩效值作为坐标来构建图表。
这些图表能够识别出偏差最大的重症监护病房，以便研究例如导致其所处位置的组织、技术或人力资源配置情况。
