School of Population Health, University of Queensland, Level 2, Public Health Building, Herston Road, Brisbane 4006, Australia.
Intensive Care Med. 2010 Aug;36(8):1410-6. doi: 10.1007/s00134-010-1916-3. Epub 2010 May 26.
To develop a measure of paediatric intensive care unit (PICU) efficiency and compare the efficiency of PICUs in Australia and New Zealand.
Separate outcome prediction models for estimating clinical performance and resource usage were constructed using patient data from 20,742 admissions between 2005 and 2007. A standardised mortality ratio was calculated using a recalibrated Paediatric Index of Mortality 2 model. A random effects length of stay (LoS) prediction model was used to provide an indicator of unit-level variation in resource use. A modified Rapoport-Teres plot of risk-adjusted mortality versus unit mean LoS provided a visual representation of efficiency. To account for potential differences in admission threshold, the calculation of performance measures was repeated on patients receiving mechanical respiratory support and compared to those estimated for all patients.
The modified plot provides a useful tool for visualising ICU efficiency. Two units were identified as potentially inefficient with higher SMR and risk-adjusted mean LoS at the 95% level. One unit had a significantly lower SMR and significantly higher risk-adjusted mean LoS. The measures for both SMR and risk-adjusted mean LoS showed good agreement between all patients and those who received mechanical respiratory support.
There is significant variation in efficiency among PICUs in Australia and New Zealand. Two units were designated as inefficient and one unit was considered to be effective at the expense of high resource use. Application of these methods may help to identify inefficiencies in units located in other countries or regions.
开发一种儿科重症监护病房(PICU)效率的衡量标准,并比较澳大利亚和新西兰的 PICU 效率。
使用 2005 年至 2007 年期间 20742 例住院患者的数据,分别构建了用于估计临床绩效和资源使用的预测模型。使用重新校准的小儿死亡率 2 模型计算标准化死亡率比。使用随机效应的住院时间(LoS)预测模型提供单位级资源使用差异的指标。风险调整死亡率与单位平均 LoS 的改良 Rapoport-Teres 图提供了效率的直观表示。为了考虑入院阈值的潜在差异,在接受机械通气支持的患者上重复计算绩效指标,并将其与估计的所有患者进行比较。
改良图为 ICU 效率的可视化提供了有用的工具。有两个单位被认为效率低下,在 95%水平上具有较高的 SMR 和风险调整平均 LoS。一个单位的 SMR 显著降低,风险调整平均 LoS 显著升高。SMR 和风险调整平均 LoS 的指标在所有患者和接受机械通气支持的患者之间具有良好的一致性。
澳大利亚和新西兰的 PICU 之间存在显著的效率差异。有两个单位被指定为效率低下,有一个单位被认为是以高资源使用为代价的有效单位。这些方法的应用可能有助于识别其他国家或地区单位的效率低下。