title: Predictors of nursing home placement among elderly public housing residents.
abstract: This study examines risk factors for nursing home placement among elderly residents of public housing. Data on residents of six urban public housing developments for elderly persons (weighted n = 881) were analyzed by using logistic regression procedures to determine the predictors of nursing home placement during a 28-month period. Four baseline indicators of need were identified: greater impairment in instrumental activities of daily living, cognitive disorder, high scores on the General Health Questionnaire, and psychotic disorder. Thus, functional status and mental morbidity are major contributors to nursing home placement in this setting.
authors.affiliation: Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD 21287-7279, USA. bblack@jhmi.edu
authors.forename: B S
authors.initials: BS
authors.lastname: Black
authors.forename: P V
authors.initials: PV
authors.lastname: Rabins
authors.forename: P S
authors.initials: PS
authors.lastname: German
mesh_terms: D000203:Activities of Daily Living / Q000145:classification; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D015577:Geriatric Assessment / Q000706:statistics & numerical data; D006707:Homes for the Aged / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008297:Male; D009735:Nursing Homes / Q000706:statistics & numerical data*; D010343:Patient Admission / Q000706:statistics & numerical data*; D011638:Public Housing / Q000706:statistics & numerical data*; D012044:Regression Analysis; D012307:Risk Factors; D014505:Urban Population / Q000706:statistics & numerical data*