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利用(丰富的)家庭微观数据分析医疗保健利用的地区差异。

Analyzing regional variation in health care utilization using (rich) household microdata.

作者信息

Eibich Peter, Ziebarth Nicolas R

机构信息

DIW Berlin, Mohrenstrasse 58, 10117 Berlin, Germany; University of Hamburg, Germany.

Cornell University, Policy Analysis and Management (PAM), 106 Martha van Rensselaer Hall, Ithaca, NY 14853, United States; DIW Berlin, Germany; IZA Bonn, Germany.

出版信息

Health Policy. 2014 Jan;114(1):41-53. doi: 10.1016/j.healthpol.2013.04.015. Epub 2013 May 23.

Abstract

This paper exploits rich SOEP microdata to analyze state-level variation in health care utilization in Germany. Unlike most studies in the field of the Small Area Variation (SAV) literature, our approach allows us to net out a large array of individual-level and state-level factors that may contribute to the geographic variation in health care utilization. The raw data suggest that state-level hospitalization rates vary from 65 to 165 percent of the national mean. Ambulatory doctor visits range from 90 to 120 percent of the national mean. Interestingly, in the former GDR states, doctor visit rates are significantly below the national mean, while hospitalization rates lie above the national mean. The significant state-level differences vanish once we control for individual-level socio-economic characteristics, the respondents' health status, their health behavior as well as supply-side state-level factors.

摘要

本文利用丰富的德国社会经济面板(SOEP)微观数据来分析德国各州医疗保健利用情况的差异。与小区域差异(SAV)文献领域的大多数研究不同,我们的方法使我们能够排除大量可能导致医疗保健利用情况地理差异的个人层面和州层面因素。原始数据表明,各州的住院率在全国平均水平的65%至165%之间波动。门诊医生就诊率在全国平均水平的90%至120%之间。有趣的是,在前东德各州,医生就诊率显著低于全国平均水平,而住院率则高于全国平均水平。一旦我们控制了个人层面的社会经济特征、受访者的健康状况、他们的健康行为以及州层面的供给侧因素,各州之间的显著差异就会消失。

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