Toward a model for improved targeting of aged at risk of institutionalization.
A national sample of institutionalized and noninstitutionalized aged was created by merging the 1977 National Nursing Home Survey and its counterpart, the National Health Interview Survey for the same year. A weighted logistic regression analysis was conducted to identify factors that might be useful in calculating home- and community-based long-term care clients' risk of institutionalization. A model containing patient characteristics, nursing home bed supply, and a climate variable correctly classified 98.2 percent of cases residing in nursing homes or the community. Physical dependency, mental disorder and degenerative disease, lack of spouse, being white, poverty, old age, unoccupied nursing home beds, and climate all appear to be determinants of institutional residency among the aged.
Weissert
W G
WG
Department of Health Services Management and Policy, School of Public Health, University of Michigan, Ann Arbor 48109-2029.
Cready
C M
CM
D000203:Activities of Daily Living; D000368:Aged; D000369:Aged, 80 and over; D001509:Bed Occupancy; D002980:Climate; D003153:Community Health Services; D003430:Cross-Sectional Studies; D005260:Female; D006304:Health Status; D006707:Homes for the Aged / Q000706:statistics & numerical data*; D006801:Humans; D007326:Institutionalization / Q000706:statistics & numerical data*; D008297:Male; D008962:Models, Theoretical; D009309:National Center for Health Statistics, U.S.; D009735:Nursing Homes / Q000706:statistics & numerical data*; D012307:Risk Factors; D012944:Social Support; D014481:United States