Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Reshaping Health Statistics
Article type: Research Article
Authors: Aizcorbe, Ana | Liebman, Eli | Pack, Sarah | Cutler, David M. | Chernew, Michael E. | Rosen, Allison B.
Affiliations: Bureau of Economic Analysis, Washington, DC, USA | Department of Economics, Harvard University and the National Bureau of Economic Research, MA, USA | Department of Health Care Policy, Harvard Medical School, and the National Bureau of Economic Research, MA, USA | Department of Quantitative Health Sciences, University of Massachusetts Medical School and the National Bureau of Economic Research, MA, USA
Note: [] Corresponding author. E-mail: [email protected]
Abstract: As the core health expenditure survey in the United States, the Medical Expenditure Panel Survey (MEPS) is increasingly being used by statistical agencies to track expenditures by disease. However, while MEPS provides a wealth of data, its sample size precludes examination of spending on all but the most prevalent health conditions. To overcome this issue, statistical agencies have turned to other public data sources, such as Medicare and Medicaid claims data, when available. No comparable publicly available data exist for those with employer-sponsored insurance. While large proprietary claims databases may be an option, the data are convenience samples and the extent to which the data are representative for employer-sponsored insurance (ESI) enrollees is not known. This study compared MEPS and MarketScan estimates of annual per person health care spending on individuals with employer-sponsored insurance coverage. Both total spending and the distribution of annual per person spending differed across the two data sources, with MEPS estimates 10 percent lower on average than estimates from MarketScan. These differences appeared to be a function of both underrepresentation of high expenditure cases and underreporting across the remaining distribution of spending.
DOI: 10.3233/SJI-2012-0743
Journal: Statistical Journal of the IAOS, vol. 28, no. 1-2, pp. 43-51, 2012
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]