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Wiley InterScience | ||||||||||||||||||
![]() Health Services ResearchVolume 40 Issue 2, Pages 413 - 434 Published Online: 10 Mar 2005 © 2009 Health Research and Educational Trust Published on behalf of Health Research and Educational Trust in cooperation with AcademyHealth.
Abstract | References | Full Text: HTML, PDF (Size: 133K) | Related Articles | Citation Tracking Impact of Levels of Service How Much Is Postacute Care Use Affected by Its Availability? Address correspondence to Melinda Beeuwkes Buntin, Ph.D., RAND Health, 1200 South Hayes St., Arlington, VA 22202. Anita Datar Garten, M.P.A., M.P.H., Susan Paddock, Ph.D., Debra Saliba, M.D., M.P.H., and Mark Totten, M.S., are with RAND Health. Debra Saliba, M.D., M.P.H., is also with the Greater Los Angeles VAMC, HSR&D Center of Excellence. José J. Escarce, M.D., Ph.D., is with RAND Health, and the David Geffen School of Medicine, University of California, Los Angeles. Copyright © 2005 Health Research and Education Trust. All rights reserved KEYWORDS postacute care • provider supply • Medicare • rehabilatation • nursing homes ABSTRACTObjective. To assess the relative impact of clinical factors versus nonclinical factors—such as postacute care (PAC) supply—in determining whether patients receive care from skilled nursing facilities (SNFs) or inpatient rehabilitation facilities (IRFs) after discharge from acute care. Data Sources and Study Setting. Medicare acute hospital, IRF, and SNF claims provided data on PAC choices; predictors of site of PAC chosen were generated from Medicare claims, provider of services, enrollment file, and Area Resource File data. Study Design. We used multinomial logit models to predict PAC use by elderly patients after hospitalizations for stroke, hip fractures, or lower extremity joint replacements. Data Collection/Extraction Methods. A file was constructed linking acute and postacute utilization data for all medicare patients hospitalized in 1999. Principal Findings. PAC availability is a more powerful predictor of PAC use than the clinical characteristics in many of our models. The effects of distance to providers and supply of providers are particularly clear in the choice between IRF and SNF care. The farther away the nearest IRF is, and the closer the nearest SNF is, the less likely a patient is to go to an IRF. Similarly, the fewer IRFs, and the more SNFs, there are in the patient's area the less likely the patient is to go to an IRF. In addition, if the hospital from which the patient is discharged has a related IRF or a related SNF the patient is more likely to go there. Conclusions. We find that the availability of PAC is a major determinant of whether patients use such care and which type of PAC facility they use. Further research is needed in order to evaluate whether these findings indicate that a greater supply of PAC leads to both higher use of institutional care and better outcomes—or whether it leads to unwarranted expenditures of resources and delays in returning patients to their homes. |
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