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利用行政数据审视自费医疗支出的水平及分布变化:以澳大利亚医疗保险数据为例。

Using administrative data to look at changes in the level and distribution of out-of-pocket medical expenditure: An example using Medicare data from Australia.

作者信息

Hua Xinyang, Erreygers Guido, Chalmers John, Laba Tracey-Lea, Clarke Philip

机构信息

Centre for Health Policy, School of Global and Population Health, University of Melbourne, Melbourne, Australia.

Department of Economics, University of Antwerp, Antwerpen, Belgium.

出版信息

Health Policy. 2017 Apr;121(4):426-433. doi: 10.1016/j.healthpol.2017.02.003. Epub 2017 Feb 23.

Abstract

OBJECTIVES

Australia's universal health insurance system Medicare generates very large amounts of data on out-of-pocket expenditure (OOPE), but only highly aggregated statistics are routinely published. Our primary purpose is to develop indices from the Medicare administrative data to quantify changes in the level and distribution of OOPE on out-of-hospital medical services over time.

METHODS

Data were obtained from the Australian Hypertension and Absolute Risk Study, which involved patients aged 55 years and over (n=2653). Socio-economic and clinical information was collected and linked to Medicare records over a five-year period from March 2008. The Fisher price and quantity indices were used to evaluate year-to-year changes in OOPE. The relative concentration index was used to evaluate the distribution of OOPE across socio-economic strata.

RESULTS

Our price index indicates that overall OOPE were not rising faster than inflation, but there was considerable variation across different types of services (e.g. OOPE on professional attendances rose by 20% over a five-year period, while all other items fell by around 14%). Concentration indices, adjusted for demographic factors and clinical need, indicate that OOPE tends to be higher among those on higher incomes.

CONCLUSIONS

A major challenge in utilizing large administrative data sets is to develop reliable and easily interpretable statistics for policy makers. Price, quantity and concentration indices represent statistics that move us beyond the average.

摘要

目标

澳大利亚的全民医疗保险系统“医疗保险”(Medicare)生成了关于自付费用(OOPE)的大量数据,但通常仅公布高度汇总的统计数据。我们的主要目的是从医疗保险管理数据中开发指数,以量化院外医疗服务自付费用水平和分布随时间的变化。

方法

数据来自澳大利亚高血压与绝对风险研究,该研究涉及55岁及以上的患者(n = 2653)。收集了社会经济和临床信息,并将其与2008年3月起的五年内的医疗保险记录相链接。费雪价格指数和数量指数用于评估自付费用的逐年变化。相对集中指数用于评估自付费用在社会经济阶层中的分布情况。

结果

我们的价格指数表明,总体自付费用的增长速度并不比通货膨胀快,但不同类型服务之间存在相当大的差异(例如,专业诊疗的自付费用在五年内上涨了20%,而所有其他项目下降了约14%)。经人口因素和临床需求调整后的集中指数表明,高收入人群的自付费用往往更高。

结论

利用大型管理数据集的一个主要挑战是为政策制定者开发可靠且易于解释的统计数据。价格、数量和集中指数代表了使我们超越平均值的统计数据。

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