Our original P01 grant application was motivated by the remarkable differences in health care intensity in the US. In this resubmission, we sharpen our focus in three ways. The goal is to understand and improve efficiency, the target is a more actionable level for physicians and the hospitals where they work, and the means include collaborations with key stakeholders to design successful interventions. The projects are: 1. Measuring the Efficiency of Health Care Providers. This project develops measures of efficiency - both quality and costs - and explores their implications at the level of primary care physicians, physician groups, and hospitals. We use Medicare data, patient and physician surveys, and specialty board certification scores from the American Board of Internal Medicine and the American Board of Family Practice. 2. Causes and Consequences of Variation in Pharmacotherapy Efficiency. We describe and model variation in prescription drug use using longitudinal claims data from very large insurance providers in two states, studying both consequences of variation in prescription drug use in outcomes and the impact of a large, systemic 'shock'- Medicare Part D - on existing treatment patterns and outcomes. 3. Technological Growth and the Efficiency of Health Care Diffusion. We study the contribution of """"""""high- tech"""""""" health care to cost growth, the diffusion of different types of medical innovations, whether high-quality health providers affect population-level health outcomes, and how provider networks affect diffusion. 4. Geography and Disparities in Health and Health Care. We propose hospital-level disparity """"""""report cards,"""""""" to study sorting of patients to disproportionately Black hospitals and to test whether the preferences of patients from a recent nation-wide survey of Medicare enrollees are reflected in their treatments. Finally, we estimate how racial differences in surgical rates affect disparities in actual health outcomes. 5. Norms Governing Physician Decision-Making For Critically III Elders. We use qualitative methods to describe the norms and values that influence the use of life-sustaining treatments among critically ill elders in emergency rooms and hospitals. We plan to test the feasibility of one or more interventions to change practice norms with the broader aim of improving efficiency. Cores: The Cores include an initiative to work with seven leading hospitals to address inefficiency in the provision of care, data support, and health efficiency measures for users of the Health and Retirement Study.

Public Health Relevance

The project seeks to understand why efficiency is so poor in the U.S. health care system: 30% of health care spending is wasted, and quality of care is seriously lacking. We also explore several approaches to improving quality and reducing unwarranted variations in expenditures.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG019783-09
Application #
7793501
Study Section
Special Emphasis Panel (ZAG1-ZIJ-9 (O3))
Program Officer
Haaga, John G
Project Start
2001-09-15
Project End
2012-02-29
Budget Start
2010-05-01
Budget End
2011-02-28
Support Year
9
Fiscal Year
2010
Total Cost
$1,500,867
Indirect Cost
Name
Dartmouth College
Department
Miscellaneous
Type
Schools of Arts and Sciences
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Bekelis, Kimon; Missios, Symeon; MacKenzie, Todd A (2018) Correlation of hospital magnet status with the quality of physicians performing neurosurgical procedures in New York State. Br J Neurosurg 32:13-17
Mainor, Alexander J; Morden, Nancy E; Smith, Jeremy et al. (2018) ICD-10 Coding Will Challenge Researchers: Caution and Collaboration may Reduce Measurement Error and Improve Comparability Over Time. Med Care :
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

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