The Data Management & Methods Core (DM&M) will centrally unify the j-renewal program project and serve all three proposed research projects and the other cores by providing the data management backbone of the P01. Core C will build analysis files for each project in accordance with investigators' specifications, will work with project investigators to construct and test independent and dependent variables that are conceptually and theoretically appropriate for use across projects, will assemble data for dissemination on our program project website (www.LTCFocUS.org), and develop statistical models and methods specific to the complex administrative data utilized in the projects.
Specific aims are to: 1) assemble project data and develop methods for tracking and cleaning projects' longitudinal data; 2) create uniform, core measures for use in all project analyses; 3) provide analytic and statistical support; 4) develop novel methods of measuring functional status across post-acute settings; and, 5) assemble data for dissemination on the project website, managed by Core A. The DM&M Core is the heart of the common overlap across the projects since all rely upon the same core of longitudinal Medicare claims data and PAC assessment data all of which is matched to 100% of Medicare beneficiaries. Core C will integrate 2010 thru 2014 data to the existing decade of pane| data. We will apply Rasch measurement modeling within the framework of a missing data model in order to create synthetic measures of functioning that can be derived from MDS data on NH residents, IRF-PAI data on rehabilitation patients and OASIS data on home health patients. These integrated measures will be applied as independent and outcome variables in the 3 projects. Core C programmers will create analysis file programs for each project and continue to update the information on our web site and to disseminate it to dissemination partners ranging from the Commonwealth Fund to MedPAC and to trade associations in the nursing home industry
This research core provides methodological and data management support for all projects included in the Program Project and produces de-identified data for public dissemination on our project web site.
|Rivera-Hernandez, Maricruz; Leyva, Bryan; Keohane, Laura M et al. (2016) Quality of Care for White and Hispanic Medicare Advantage Enrollees in the United States and Puerto Rico. JAMA Intern Med 176:787-94|
|Berridge, Clara; Tyler, Denise A; Miller, Susan C (2016) Staff Empowerment Practices and CNA Retention: Findings From a Nationally Representative Nursing Home Culture Change Survey. J Appl Gerontol :|
|Mor, Vincent; Rahman, Momotazur; McHugh, John (2016) Accountability of Hospitals for Medicare Beneficiaries' Postacute Care Discharge Disposition. JAMA Intern Med 176:119-21|
|Rahman, Momotazur; Grabowski, David C; Mor, Vincent et al. (2016) Is a Skilled Nursing Facility's Rehospitalization Rate a Valid Quality Measure? Health Serv Res 51:2158-2175|
|Schoenfeld, Andrew J; Zhang, Xuan; Grabowski, David C et al. (2016) Hospital-skilled nursing facility referral linkage reduces readmission rates among Medicare patients receiving major surgery. Surgery 159:1461-8|
|Teno, Joan M; Gozalo, Pedro; Khandelwal, Nita et al. (2016) Association of Increasing Use of Mechanical Ventilation Among Nursing Home Residents With Advanced Dementia and Intensive Care Unit Beds. JAMA Intern Med 176:1809-1816|
|Rahman, Momotazur; Norton, Edward C; Grabowski, David C (2016) Do hospital-owned skilled nursing facilities provide better post-acute care quality? J Health Econ 50:36-46|
|Baier, Rosa R; Trivedi, Amal N (2016) For Hospital Readmissions, Hindsight is Not 20/20. J Gen Intern Med 31:1270-1271|
|Rahman, Momotazur; McHugh, John; Gozalo, Pedro L et al. (2016) The Contribution of Skilled Nursing Facilities to Hospitals' Readmission Rate. Health Serv Res :|
|Jung, Hye-Young; Trivedi, Amal N; Grabowski, David C et al. (2016) Does More Therapy in Skilled Nursing Facilities Lead to Better Outcomes in Patients With Hip Fracture? Phys Ther 96:81-9|
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