The Patient Protection and Affordable Care Act creates a "hospital readmission reduction program" to help acute care hospitals decrease avoidable rehospitalizations. Research suggests approximately twenty percent of all Medicare patients are rehospitalized within 30 days of discharge from acute care and that the majority of these rehospitalizations are preventable. Research examining rehospitalization has focused primarily on patients discharged from acute care hospitals. We will examine rates and reasons for hospital readmission in high volume and high cost patients, such as those with stroke or hip fracture, who receive inpatient medical rehabilitation. This is an understudied population with important implications for health care resources and costs as the U.S. population continues to age. Our goal is to determine rates and factors associated with hospital readmissions in persons receiving inpatient rehabilitation services for the six largest rehabilitation impairment groups as defined by the Centers for Medicare and Medicaid Services (CMS). We propose the following Specific Aims:
Aim 1. Examine national data from the Centers for Medicare and Medicaid Services and the Uniform Data System for Medical Rehabilitation (UDSMR) to determine rates of hospital readmission for the six largest impairment groups receiving inpatient medical rehabilitation in the U.S. (stroke, fracture of the lower extremity, joint replacement of the lowe extremity, debility, neurological disorders and traumatic brain injury) (MedPAC, 2011).
Aim 2. Determine patient characteristics (sociodemographic and clinical/functional) associated with hospital readmission across the six impairment groups (see Aim 1). We will examine data from the Centers for Medicare and Medicaid Services files and the Uniform Data System for Medical Rehabilitation dataset for the years 2006 - 2010 (~ 1.3 million patient records). We will use exploratory data analysis and descriptive statistics to determine the rate of hospital readmission for the six rehabilitation impairment categories. Time-to-event survival analyses will be used to examine personal and clinical factors associated with hospital readmission during the first 90 days after discharge. Our interdisciplinary research team has twenty years of experience using large national datasets to study rehabilitation outcomes. The findings will address priorities of the Affordable Care Act, provide information useful in developing future predictive models, and assist in documenting hospital accountability and establishing quality indicators.
We will examine the rates and reasons for hospital readmission in high volume and high cost patients such as those who have a stroke or fracture their hip and receive post-acute care services in rehabilitation facilities. The findings will provde information useful in establishing quality indicators for post-acute care and the allocation of resources for persons at high risk for rehospitalization. The results will also address priorities f the Patient Protection and Affordable Care Act by identifying strategies to reduce health care costs.
|Kumar, Amit; Graham, James E; Resnik, Linda et al. (2016) Comparing Comorbidity Indices to Predict Post-Acute Rehabilitation Outcomes in Older Adults. Am J Phys Med Rehabil 95:889-898|
|Kumar, Amit; Karmarkar, Amol M; Graham, James E et al. (2016) Comorbidity Indices Versus Function as Potential Predictors of 30-Day Readmission in Older Patients Following Postacute Rehabilitation. J Gerontol A Biol Sci Med Sci :|
|Middleton, Addie; Graham, James E; Lin, Yu-Li et al. (2016) Motor and Cognitive Functional Status Are Associated with 30-day Unplanned Rehospitalization Following Post-Acute Care in Medicare Fee-for-Service Beneficiaries. J Gen Intern Med 31:1427-1434|
|Middleton, Addie; Graham, James E; Krishnan, Shilpa et al. (2016) Program Interruptions and Short-Stay Transfers Represent Potential Targets for Inpatient Rehabilitation Care-Improvement Efforts. Am J Phys Med Rehabil 95:850-861|
|Fisher, Steve R; Graham, James E; Krishnan, Shilpa et al. (2016) Predictors of 30-Day Readmission Following Inpatient Rehabilitation for Patients at High Risk for Hospital Readmission. Phys Ther 96:62-70|
|Kumar, Amit; Graham, James E; Resnik, Linda et al. (2016) Examining the Association Between Comorbidity Indexes and Functional Status in Hospitalized Medicare Fee-for-Service Beneficiaries. Phys Ther 96:232-40|
|Galloway, Rebecca V; Karmarkar, Amol M; Graham, James E et al. (2016) Hospital Readmission Following Discharge From Inpatient Rehabilitation for Older Adults With Debility. Phys Ther 96:241-51|
|Graham, James E; Prvu Bettger, Janet; Fisher, Steve R et al. (2016) Duration to Admission and Hospital Transfers Affect Facility Rankings from the Postacute 30-Day Rehospitalization Quality Measure. Health Serv Res :|
|Fisher, Steve R; Graham, James E; Ottenbacher, Kenneth J et al. (2016) Inpatient Walking Activity to Predict Readmission in Older Adults. Arch Phys Med Rehabil 97:S226-31|
|Reistetter, Timothy A; Kuo, Yong-Fang; Karmarkar, Amol M et al. (2015) Geographic and facility variation in inpatient stroke rehabilitation: multilevel analysis of functional status. Arch Phys Med Rehabil 96:1248-54|
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