Dunn Abe, Liebman Eli, Rittmueller Lindsey, Shapiro Adam Hale
Bureau of Economic Analysis, Washington, DC.
Department of Economics, Duke University, Durham, NC.
Health Serv Res. 2017 Apr;52(2):720-740. doi: 10.1111/1475-6773.12498. Epub 2016 May 3.
To provide guidelines to researchers measuring health expenditures by disease and compare these methodologies' implied inflation estimates.
A convenience sample of commercially insured individuals over the 2003 to 2007 period from Truven Health. Population weights are applied, based on age, sex, and region, to make the sample of over 4 million enrollees representative of the entire commercially insured population.
Different methods are used to allocate medical-care expenditures to distinct condition categories. We compare the estimates of disease-price inflation by method.
Across a variety of methods, the compound annual growth rate stays within the range 3.1 to 3.9 percentage points. Disease-specific inflation measures are more sensitive to the selected methodology.
The selected allocation method impacts aggregate inflation rates, but considering the variety of methods applied, the differences appear small. Future research is necessary to better understand these differences in other population samples and to connect disease expenditures to measures of quality.
为研究人员提供按疾病衡量医疗支出的指导方针,并比较这些方法所隐含的通胀估计值。
来自Truven Health的2003年至2007年期间商业保险个人的便利样本。根据年龄、性别和地区应用人口权重,以使超过400万参保人的样本代表整个商业保险人群。
使用不同方法将医疗保健支出分配到不同的疾病类别。我们按方法比较疾病价格通胀的估计值。
在各种方法中,复合年增长率保持在3.1至3.9个百分点的范围内。特定疾病的通胀衡量指标对所选方法更为敏感。
所选的分配方法会影响总体通胀率,但考虑到所应用方法的多样性,差异似乎较小。未来有必要进行研究,以更好地了解其他人群样本中的这些差异,并将疾病支出与质量指标联系起来。