To understand the causes and consequences of health care intensity, it is crucial to have a comprehensive database with sufficient power to characterize detailed patterns of health care utilization at the region or even hospital level. The Medicare claims data are ideal for this task because of three key features. First, they are national in scope: 98% of the elderly are eligible for Medicare, and because almost all hospitals and physicians provide care to Medicare enrollees, the data can provide insight into factors that influence both hospital performance and physician practice more generally. Second, the claims data provides detailed demographic and financial information, as well as rich clinical detail on the specific services provided to fee-for-service enrollees. Third, with appropriate approvals to preserve confidentiality, the data can be obtained with individual identifiers that can support linkage across files and over time. The utility of these data for a wide range of health care and economic research studies has been amply demonstrated. The complexity and costs of analyzing these data motivate the specific alms of this Data Core: 1. To process, match, and integrate the year 1999-2004 Medicare claims data. To support the analytic tasks of the four research projects, this Data Core will provide the computing and programming infrastructure necessary to prepare analytic files from the Medicare administrative databases, provide access to previously obtained Medicare claims files, and will obtain and prepare for analysis additional years of Medicare claims and research databases. 2. To make the survey and Medicare data available to the research community. The survey and Medicare claims data would be compiled and made available in restricted form. This would allow for a wide range of research uses, but it would not present the same security concerns as the raw Medicare claims data. In addition, we would plan to provide training in the use of the Medicare claims data.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
1P01AG019783-01
Application #
6397724
Study Section
Special Emphasis Panel (ZAG1)
Project Start
2001-07-01
Project End
2006-06-30
Budget Start
Budget End
Support Year
1
Fiscal Year
2001
Total Cost
Indirect Cost
Name
Dartmouth College
Department
Type
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Bekelis, Kimon; Chang, Chiang-Hua; Malenka, David et al. (2018) Direct oral anticoagulant and antiplatelet combination therapy: Hemorrhagic events in coronary artery stent recipients. J Clin Neurosci 50:24-29
Kelley, Amy S; Bollens-Lund, Evan; Covinsky, Kenneth E et al. (2018) Prospective Identification of Patients at Risk for Unwarranted Variation in Treatment. J Palliat Med 21:44-54
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Ouayogodé, Mariétou H; Meara, Ellen; Chang, Chiang-Hua et al. (2018) Forgotten patients: ACO attribution omits those with low service use and the dying. Am J Manag Care 24:e207-e215
Rosenthal, Meredith B; Colla, Carrie H; Morden, Nancy E et al. (2018) Overuse and insurance plan type in a privately insured population. Am J Manag Care 24:140-146
Bekelis, Kimon; Missios, Symeon; Coy, Shannon et al. (2018) Emergency medical services for acute ischemic stroke: Hub-and-spoke model versus exclusive care in comprehensive centers. J Clin Neurosci :
Chen, Lena M; Ryan, Andrew M; Shih, Terry et al. (2018) Medicare's Acute Care Episode Demonstration: Effects of Bundled Payments on Costs and Quality of Surgical Care. Health Serv Res 53:632-648
Moen, Erika L; Bynum, Julie P; Austin, Andrea M et al. (2018) Assessing Variation in Implantable Cardioverter Defibrillator Therapy Guideline Adherence With Physician and Hospital Patient-sharing Networks. Med Care 56:350-357

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