To understand the causes and consequences of differences across physicians, physician groups, and hospitals in the efficiency with which they deliver medical care, it is crucial to have a comprehensive database with sufficient power to characterize detailed patterns of health care utilization and to be able to link those files to supplemental data now available from other sources such as patient or provider surveys. 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, over time, and to other sources. 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 aims of this Data Core: 1. To maintain and update a comprehensive and secure database of Medicare enrollment files, claims records, and supplementary files. 2. To obtain and manage specific research files required for this Program Project Grant and to develop project-specific analytic files. 3. To maintain a computing infrastructure and procedures capable of managing a high volume of patientidentifiable, confidential data while ensuring timely and appropriate access to authorized investigators. 4. To make the research files developed under this program project grant available to the research community to the extent permissible under law. Comprehensive information on the specific services provided to Medicare beneficiaries and the quality and costs of the care they receive can provide a powerful tool for improving the efficiency of medical care. The confidential and personal nature of these databases mandates that they be maintained in a secure and efficient data center that can manage them effectively while protecting the integrity of the data and supporting the needs of authorized investigators.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG019783-09
Application #
8068756
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2010-03-01
Budget End
2011-02-28
Support Year
9
Fiscal Year
2010
Total Cost
$426,359
Indirect Cost
Name
Dartmouth College
Department
Type
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Norton, Edward C; Li, Jun; Das, Anup et al. (2018) Moneyball in Medicare. J Health Econ 61:259-273
Moen, Erika L; Kapadia, Nirav S; O'Malley, A James et al. (2018) Evaluating breast cancer care coordination at a rural National Cancer Institute Comprehensive Cancer Center using network analysis and geospatial methods. Cancer Epidemiol Biomarkers Prev :
Austin, Andrea M; Bynum, Julie P W; Maust, Donovan T et al. (2018) Long-Term Implications Of A Short-Term Policy: Redacting Substance Abuse Data. Health Aff (Millwood) 37:975-979
Likosky, Donald S; Sukul, Devraj; Seth, Milan et al. (2018) Association Between Medicaid Expansion and Cardiovascular Interventions in Michigan. J Am Coll Cardiol 71:1050-1051
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
Bekelis, Kimon; Missios, Symeon; Shu, Joel et al. (2018) Surgical outcomes for patients diagnosed with dementia: A coarsened exact matching study. J Clin Neurosci 53:160-164
Bekelis, Kimon; Missios, Symeon; Coy, Shannon et al. (2018) Association of Hospital Teaching Status with Neurosurgical Outcomes: An Instrumental Variable Analysis. World Neurosurg 110:e689-e698
Missios, Symeon; Bekelis, Kimon (2018) Association of Hospitalization for Neurosurgical Operations in Magnet Hospitals With Mortality and Length of Stay. Neurosurgery 82:372-377
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

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