Trogdon Justin G, Finkelstein Eric A, Hoerger Thomas J
RTI International, 3040 Cornwallis Rd., PO Box 12194, Research Triangle Park, NC 27709-2194, USA.
Health Serv Res. 2008 Aug;43(4):1442-52. doi: 10.1111/j.1475-6773.2007.00827.x. Epub 2008 Jan 31.
To investigate the use of regression models to calculate disease-specific shares of medical expenditures.
DATA SOURCES/STUDY SETTING: Medical Expenditure Panel Survey (MEPS), 2000-2003.
Theoretical investigation and secondary data analysis.
DATA COLLECTION/EXTRACTION METHODS: Condition files used to define the presence of 10 medical conditions.
Incremental effects of conditions on expenditures, expressed as a fraction of total expenditures, cannot generally be interpreted as shares. When the presence of one condition increases treatment costs for another condition, summing condition-specific shares leads to double-counting of expenditures.
Condition-specific shares generated from multiplicative models should not be summed. We provide an algorithm that allows estimates based on these models to be interpreted as shares and summed across conditions.
研究使用回归模型来计算特定疾病在医疗支出中所占的份额。
数据来源/研究背景:2000 - 2003年医疗支出面板调查(MEPS)。
理论研究和二手数据分析。
数据收集/提取方法:使用条件文件来定义10种医疗状况的存在情况。
疾病对支出的增量影响,以总支出的比例表示,通常不能解释为份额。当一种疾病的存在增加了另一种疾病的治疗成本时,将特定疾病的份额相加会导致支出的重复计算。
不应将乘法模型产生的特定疾病份额相加。我们提供了一种算法,使基于这些模型的估计能够解释为份额,并在不同疾病间相加。