Quantin C, Sauleau E, Bolard P, Mousson C, Kerkri M, Brunet Lecomte P, Moreau T, Dusserre L
Department of Biostatistics, Teaching Public Hospital of Dijon, France.
J Clin Epidemiol. 1999 Mar;52(3):251-8. doi: 10.1016/s0895-4356(98)00164-4.
Modeling by mixed-distribution was proposed in order to analyze heterogeneity of costs and length of stays within Diagnosis Related Groups (DRGs). A mixed-distribution model based on Weibull distributions was applied to 791 discharge abstracts of French DRG no. 450 (Health Care Financing Administration 3 DRG no. 316 "Renal failure") from a national database. Three subgroups of cost and length of stay were identified. Except for age, clinical criteria significantly linked with the long-stay subgroup were the same as those associated with the high-cost subgroup: acute renal failure, intensive care, infectious complications, and vascular investigations. The identification of factors associated with high costs, based on the proposed model, will allow physicians to understand more accurately how their choice of specific procedures influences hospital costs.
为了分析诊断相关组（DRGs）内成本和住院时间的异质性，提出了混合分布建模方法。基于威布尔分布的混合分布模型应用于来自国家数据库的791份法国DRG编号450（医疗保健财务管理局3 DRG编号316“肾衰竭”）的出院摘要。确定了成本和住院时间的三个亚组。除年龄外，与长期住院亚组显著相关的临床标准与高成本亚组相关的标准相同：急性肾衰竭、重症监护、感染并发症和血管检查。基于所提出的模型识别与高成本相关的因素，将使医生能够更准确地了解他们对特定程序的选择如何影响医院成本。
