title: Predicting outcomes of nursing home residents: death and discharge home.
abstract: The purpose of this study was to document prevalence, identify leading indicators, and develop and assess prediction models for nursing home resident outcomes (death, discharge home). New residents (N = 647) in eight nursing homes were evaluated on admission and 3 and 6 months later. Predictor variables tested included 14 health status variables, 5 demographic variables, and 6 other resident and nursing home variables. A cancer diagnosis was the most important risk factor for death at 3 months (OR = 8.0) and 6 months (OR = 10.8). A first nursing home admission was the most important risk factor for discharge to home at 3 months (OR = 9.5) and 6 months (OR = 13.9). Not having a dementia diagnosis was the second most important risk factor for discharge to home at 3 months (OR = 5.8) and 6 months (OR = 4.2). All prediction models demonstrated useful potential for clinical application.
authors.affiliation: College of Nursing, University of Tennessee, Memphis.
authors.forename: V F
authors.initials: VF
authors.lastname: Engle
authors.forename: M J
authors.initials: MJ
authors.lastname: Graney
mesh_terms: D000368:Aged; D015577:Geriatric Assessment / Q000145:classification*; D006304:Health Status; D006707:Homes for the Aged / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008875:Middle Aged; D009026:Mortality; D009735:Nursing Homes / Q000706:statistics & numerical data*; D017063:Outcome Assessment, Health Care; D010351:Patient Discharge / Q000706:statistics & numerical data*; D011446:Prospective Studies; D012307:Risk Factors; D013714:Tennessee / Q000453:epidemiology