The Statistics, Measurement &Data Management (SMDM) Core will centrally unify the proposedprogram project serving all four proposed research projects by providing the data management backbone, building comparable cohorts, working with project investigators to construct and test independent and dependent variables that are conceptually and theoretically appropriate to project hypotheses, conducting analyses, and assembling materials for dissemination. Specifically, this core will: 1. Assemble project data, and develop methods for tracking and cleaning of projects'longitudinal data: a. Construct cleaned, multi-level linked databases from MDS, Medicare claims, OSCAR, ARF, Dartmouth Atlas, state survey, other publishedpolicy sources andprovider surveys; b. Update and expand longitudinal data cleaning of provider survey certification data (OSCAR); c. Incorporate information from part B claims into Brown's Residential History File patient tracking system and improve tracking algorithm. 2. Create uniform, theoretically consistent core measures. a. Create measures from multiple data sources to characterize state policies, markets, provider behavior andperformance, patient case-mix andpatient outcomes for all participating projects; b. Identify published quantitative and qualitative data (provider, market and state policy data) on the LTC environment in the U.S, coding and including relevant information into the PPGdata base; 3. Construct analytic files and conduct analyses for all projects using appropriate statistical approaches. 4. Develop new statistical methods and market measures required for all PO1 studies: a. Undertake specialized studies of LTC market definitions, and characterize and compare the resulting descriptions of LTC markets for use in the Program Project studies; b. Develop new statistical methods to handle cross-classified data structures such as different markets in which a LTC provider is situated, and the effects of changing market characteristics; c. Develop statistical models that provide population average estimates within a multilevel context; d. Develop statistical methods to estimate direct, indirect and total effects in the mediating models. 5. Disseminate data, measures, and statistical methods developed in this project under guidance of Core A Lay Summary: This project involves multiple and complex data sets that must be merged and analyzed. The Statistics, Measurement &Data Management core creates appropriate designs, measures and analysis plans and assures that the data are appropriately analyzed, interpreted, and disseminated.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
3P01AG027296-05S1
Application #
8542409
Study Section
Special Emphasis Panel (ZAG1-ZIJ-9)
Project Start
Project End
Budget Start
2011-07-01
Budget End
2013-06-30
Support Year
5
Fiscal Year
2012
Total Cost
$26,999
Indirect Cost
$10,333
Name
Brown University
Department
Type
DUNS #
001785542
City
Providence
State
RI
Country
United States
Zip Code
02912
Keohane, Laura M; Trivedi, Amal N; Mor, Vincent (2017) Recent Health Care Use and Medicaid Entry of Medicare Beneficiaries. Gerontologist 57:977-986
Thomas, Kali S; Baier, Rosa; Kosar, Cyrus et al. (2017) Individualized Music Program is Associated with Improved Outcomes for U.S. Nursing Home Residents with Dementia. Am J Geriatr Psychiatry 25:931-938
Keohane, Laura M; Grebla, Regina C; Rahman, Momotazur et al. (2017) First-dollar cost-sharing for skilled nursing facility care in medicare advantage plans. BMC Health Serv Res 17:611
Kosar, Cyrus M; Thomas, Kali S; Inouye, Sharon K et al. (2017) Delirium During Postacute Nursing Home Admission and Risk for Adverse Outcomes. J Am Geriatr Soc 65:1470-1475
Dore, David D; Zullo, Andrew R; Mor, Vincent et al. (2017) Age, Sex, and Dose Effects of Nonbenzodiazepine Hypnotics on Hip Fracture in Nursing Home Residents. J Am Med Dir Assoc :
Li, Qijuan; Keohane, Laura M; Thomas, Kali et al. (2017) Association of Cost Sharing With Use of Home Health Services Among Medicare Advantage Enrollees. JAMA Intern Med 177:1012-1018
Ankuda, Claire K; Mitchell, Susan L; Gozalo, Pedro et al. (2017) Association of Physician Specialty with Hospice Referral for Hospitalized Nursing Home Patients with Advanced Dementia. J Am Geriatr Soc 65:1784-1788
Berry, Sarah D; Zullo, Andrew R; Lee, Yoojin et al. (2017) Fracture Risk Assessment in Long-term Care (FRAiL): Development and Validation of a Prediction Model. J Gerontol A Biol Sci Med Sci :
Teno, Joan M; Gozalo, Pedro L; Trivedi, Amal N et al. (2017) Temporal Trends in the Numbers of Skilled Nursing Facility Specialists From 2007 Through 2014. JAMA Intern Med 177:1376-1378
Winblad, Ulrika; Mor, Vincent; McHugh, John P et al. (2017) ACO-Affiliated Hospitals Reduced Rehospitalizations From Skilled Nursing Facilities Faster Than Other Hospitals. Health Aff (Millwood) 36:67-73

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