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Predicting Discharge Outcomes of VA Nursing Home Residents
dc.contributor.authorMehr, Daviden_US
dc.contributor.authorWilliams, Brent C.en_US
dc.contributor.authorFries, Brant E.en_US
dc.date.accessioned2010-04-13T19:30:44Z
dc.date.available2010-04-13T19:30:44Z
dc.date.issued1997en_US
dc.identifier.citationMehr, David; Williams, Brent; Fries, Brante. (1997). "Predicting Discharge Outcomes of VA Nursing Home Residents." Journal of Aging and Health 9(2): 244-265. <http://hdl.handle.net/2027.42/67481>en_US
dc.identifier.issn0898-2643en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/67481
dc.description.abstractThis article's purpose was to identify predictors of discharge outcomes of VA nursing home stays. Using data tapes, diagnostic and assessment data were assembled on elderly individuals admitted to VA nursing homes nationwide during Fiscal Year 1987. Six-month outcomes for 3 groups were considered: all residents (n = 5,895), and those remaining in care after 6 (n = 2,815) and 12 months (n = 1,812), respectively. Logistic regression was used to evaluate predictors of death and community discharge. Limited activities of daily living (ADL) dependency, younger age, and receipt of rehabilitation services most consistently predicted community discharge. ADL dependency, older age, oxygen use, terminally ill prognosis, malignancy, and congestive heart failure most consistently predicted mortality. For both dependent variables, predictive ability declined as stay length increased. Predicting death and community discharge become increasingly problematic as stay lengthens. Comparing observed versus expected discharge outcomes has limited usefulness as a quality-improvement tool.en_US
dc.format.extent3108 bytes
dc.format.extent1994816 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.publisherSage Publicationsen_US
dc.titlePredicting Discharge Outcomes of VA Nursing Home Residentsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelGeriatricsen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan Medical Centeren_US
dc.contributor.affiliationumUniversity of Michigan and Ann Arbor VA Medical Centeren_US
dc.contributor.affiliationotherUniversity of Missouri-Columbiaen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/67481/2/10.1177_089826439700900206.pdf
dc.identifier.doi10.1177/089826439700900206en_US
dc.identifier.sourceJournal of Aging and Healthen_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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