年龄、发病率还是其他因素?使用微观数据的残差方法衡量技术进步对医疗支出的影响

Age, morbidity, or something else? A residual approach using microdata to measure the impact of technological progress on health care expenditure

Health Economics · 2022
被引 12
人大 A-

中文导读

利用丹麦全民医保的微观数据,通过残差方法分离出技术进步和医疗实践变化对医疗支出增长的贡献,发现约60%的支出增长可归因于这些因素。

Abstract

This study measures the increment of health care expenditure (HCE) that can be attributed to technological progress and change in medical practice by using a residual approach and microdata. We examine repeated cross-sections of individuals experiencing an initial health shock at different point in time over a 10-year window and capture the impact of unobservable technology and medical practice to which they are exposed after allowing for differences in health and socioeconomic characteristics. We decompose the residual increment in the part that is due to the effect of delaying time to death, that is, individuals surviving longer after a health shock and thus contributing longer to the demand of care, and the part that is due to increasing intensity of resource use, that is, the basket of services becoming more expensive to allow for the cost of innovation. We use data from the Danish National Health System that offers universal coverage and is free of charge at the point of access. We find that technological progress and change in medical practice can explain about 60% of the increment of HCE, in line with macroeconomic studies that traditionally investigate this subject.

技术进步医疗支出残差法微观数据