A causal modeling approach to institutionalization.
A causal model of the institutionalization process is presented. Path analysis and logistic regression are performed on NHIS Longitudinal Study of Aging data. Based on initial analysis, the model is revised and re-evaluated. Convergent results support significance for four of five proposed predictors. Results are similar for men and women. Findings suggest unidentified factors are important to nursing home admission and that attention should be given to the process of decision-making that leads to admission.
Department of Health Services Management and Policy, University of Michigan.
R A
RA
Mohr
D000368:Aged; D005260:Female; D006301:Health Services Needs and Demand / Q000706:statistics & numerical data; D006302:Health Services Research; D006304:Health Status; D006801:Humans; D007326:Institutionalization / Q000706:statistics & numerical data*; D008019:Life Style; D016015:Logistic Models; D008297:Male; D017533:Marital Status; D009735:Nursing Homes / Q000706:statistics & numerical data*; D010343:Patient Admission / Q000706:statistics & numerical data; D012944:Social Support; D012959:Socioeconomic Factors; D014481:United States