There appear to be differences in the way that medicine is provided across region. This project addresses the consequences of regional differences in health care intensity for health, functioning, and well-being more generally. Knowing the answer to these questions is important, because it will allow us to judge whether elderly Americans in high expenditure regions value the additional care they are receiving. In particular, the goals of this project are to 1. Study the impact of variations in health care intensity on survival by carrying out longitudinal cohort studies of three chronic disease cohorts, i.e., myocardial infarction, hip fracture and colon cancer. 2. Examine the impact of variations in intensity on function, well-being and disease-specific quality of life using longitudinal cohort studies in three groups sampled from the Medicare population: the Medicare Current Beneficiary Survey (MCBS), for whom we have measures of self-assessed health and physical function, the proposed Core Survey, for whom we have measures of well-being in physical well-being and mental well being, and men in regions that were early and later adopters of a more intensive approach to the detection and treatment of prostate cancer. 3. Explore how intensity is valued in different regions. We will use data from the Core Telephone Survey to determine patient preferences for specific treatments and determine the degree to which high or low intensity regions improve the health and functioning of patients with different preferences. We will use in-person interviews in three regions (Florida, Oregon, and Sun City, Arizona) to determine how Medicare enrollees in these communities value major dimensions of intensity and whether those values reflect community treatment patterns.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
1P01AG019783-01
Application #
6397728
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
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
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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