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疾病诊断相关分组(DRGs)中的疾病严重程度。同质性研究。

Severity of illness within DRGs. Homogeneity study.

作者信息

Horn S D, Horn R A, Sharkey P D, Chambers A F

出版信息

Med Care. 1986 Mar;24(3):225-35. doi: 10.1097/00005650-198603000-00005.

DOI:10.1097/00005650-198603000-00005
PMID:3081772
Abstract

The authors assess the ability of the Severity of Illness Index to explain variability of resource use within each DRG. The data came from 15 hospitals, all of which had a HCFA DRG case mix index greater than 1. The data set comprised approximately 106,000 discharges, for which discharge abstract data, financial data, and Severity of Illness data were available. To pool the data over the 15 hospitals, the authors converted all charges to costs and normalized them to fiscal year 1983. Adjustments were also made for medical education and wage levels. The Severity of Illness Index explained more than 10% of the variability in resource use in 94% of the DRGs, which contained 97% of the patients, and more than 50% of the variability in resource use in 36% of the DRGs, which contained 24% of the patients. For the whole data set, DRGs explained 28% of the variability in resource use, and severity-adjusted DRGs explained 61% of the variability in resource use. Thus the Severity of Illness Index explained a large amount of the variability in resource use within individual DRGs as well as in the whole data set. This explanatory power remained when outliers were removed. These results go beyond previous studies that were based on six disease conditions and/or were analyzed only within individual hospitals. The findings indicate that the phenomenon of severity of illness differences within DRGs, and the corresponding differences in resource use, is consistent across 15 hospitals that represent all sections of the United States and all teaching types.

摘要

作者评估疾病严重程度指数解释每个诊断相关分组(DRG)内资源使用变异性的能力。数据来自15家医院,所有这些医院的医疗保健财务管理局(HCFA)诊断相关分组病例组合指数均大于1。数据集包含约106,000例出院病例,可获取出院摘要数据、财务数据和疾病严重程度数据。为了汇总这15家医院的数据,作者将所有费用转换为成本,并将其标准化为1983财年的数据。还对医学教育和工资水平进行了调整。疾病严重程度指数解释了94%的诊断相关分组中超过10%的资源使用变异性,这些分组包含了97%的患者;在36%的诊断相关分组中解释了超过50%的资源使用变异性,这些分组包含了24%的患者。对于整个数据集,诊断相关分组解释了28%的资源使用变异性,而经严重程度调整的诊断相关分组解释了61%的资源使用变异性。因此,疾病严重程度指数解释了各个诊断相关分组内以及整个数据集中大量的资源使用变异性。去除异常值后,这种解释力依然存在。这些结果超越了以往基于六种疾病状况和/或仅在个别医院内进行分析的研究。研究结果表明,诊断相关分组内疾病严重程度差异的现象以及相应的资源使用差异,在美国所有地区和所有教学类型的15家医院中都是一致的。

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