Mohnen Sigrid M, Molema Claudia C, Steenbeek Wouter, van den Berg Michael J, de Bruin Simone R, Baan Caroline A, Struijs Jeroen N
National Institute for Public Health and the Environment (RIVM), Centre for Nutrition, Prevention, and Health Services, Bilthoven, the Netherlands.
Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), Amsterdam, the Netherlands.
Health Serv Res. 2017 Feb;52(1):93-112. doi: 10.1111/1475-6773.12483. Epub 2016 Mar 21.
The introduction of bundled payment for diabetes care in the Netherlands led to the origination of care groups. This study explored to what extent variation in health care costs per patient can be attributed to the performance of care groups. Furthermore, the commonly applied simple mean aggregation was compared with the more advanced generalized linear mixed model (GLMM) to benchmark health care costs per patient between care groups.
Dutch 2009 nationwide insurance claims data of diabetes type 2 patients (104,544 patients, 50 care groups).
Both a simple mean aggregation and a GLMM approach was applied to rank care groups, using two different health care costs variables: total treatment health care costs and diabetes-specific specialist care costs per diabetes patient.
Care groups varied slightly in the first and mainly in the second indicator. Care group variation was not explained by composition. Although the ranking methods were correlated, some care groups' rank positions differed, with consequences on the top-10 and the low-10 positions.
Differences between care groups exist when an appropriate indicator and a sophisticated aggregation technique is used. Currently applied benchmarking may have unfair consequences for some care groups.
荷兰引入糖尿病护理捆绑支付制度后催生了护理组。本研究探讨了每位患者医疗保健成本的差异在多大程度上可归因于护理组的表现。此外,将常用的简单均值汇总法与更先进的广义线性混合模型(GLMM)进行比较,以对比各护理组之间每位患者的医疗保健成本。
荷兰2009年全国2型糖尿病患者保险理赔数据(104,544名患者,50个护理组)。
采用简单均值汇总法和GLMM方法,使用两个不同的医疗保健成本变量对护理组进行排名:每位糖尿病患者的总治疗医疗保健成本和糖尿病专科护理成本。
护理组在第一个指标上差异较小,在第二个指标上差异较大。护理组的差异无法通过构成来解释。虽然两种排名方法具有相关性,但一些护理组的排名位置有所不同,这对排名前十和后十位的护理组产生了影响。
当使用合适的指标和复杂的汇总技术时,护理组之间存在差异。目前应用的基准比较可能会对一些护理组产生不公平的结果。