University of Michigan
Institutional Affiliation: University of Michigan
NBER Working Papers and Publications
|November 2018||Attributing Medical Spending to Conditions: A Comparison of Methods|
with David Cutler, Kaushik Ghosh, Kassandra Messer, Trivellore Raghunathan, Susan Stewart, Allison B. Rosen: w25233
Partitioning medical spending into conditions is essential to understanding the cost burden of medical care. Two broad strategies have been used to measure disease-specific spending. The first attributes each medical claim to the condition listed as its cause. The second decomposes total spending for a person over a year to the cumulative set of conditions they have. Traditionally, this has been done through regression analysis. This paper makes two contributions. First, we develop a new method to attribute spending to conditions using propensity score models. Second, we compare the claims attribution approach to the regression approach and our propensity score stratification method in a common set of beneficiaries age 65 and over drawn from the 2009 Medicare Current Beneficiary Surve...
|March 2017||Strengthening National Data to Better Measure What We Are Buying in Health Care: Reconciling National Health Expenditures with Detailed Survey Data|
with Allison B. Rosen, Kaushik Ghosh, Emily S. Pape, Marcelo Coca Perraillon, Kassandra L. Messer, Trivellore Raghunathan, Susan T. Stewart, David M. Cutler: w23290
As health care financing, organization, and delivery innovations proliferate, the need for comprehensive, detailed data on medical spending has never been more apparent. This study builds on previous work to provide a more comprehensive accounting of medical spending at the individual level than has been done in the past. We account for spending by the entire population: the civilian, non-institutionalized population that is the subject of past studies, as well as high medical spenders, the institutionalized, the incarcerated, and active-duty military personnel. We use within-imputation and other adjustments to build a micro dataset and reconcile survey data based on our estimate of medical spending to the National Health Expenditure Accounts (NHEA). The micro dataset we build can be used ...