Predictors of psychiatric hospitalization: a multivariate analysis.
Inpatient treatment continues to be the most expensive form of mental health service. This study sought to improve the methodological weaknesses, e.g., poor statistical controls, in the literature by using multivariate statistics to predict hospitalization. Results revealed that aftercare, i.e., outpatient treatment, is an important factor in reducing the utilization of inpatient resources, even when controlling for demographic and psychiatric history variables. Further, background characteristics, while easily measured, are not important predictors of hospitalization.
Klinkenberg
W D
WD
Missouri Institute of Mental Health, University of Missouri School of Medicine, St. Louis 63139-1361, USA.
Calsyn
R J
RJ
D000328:Adult; D000359:Aftercare; D000553:Ambulatory Care; D003627:Data Interpretation, Statistical; D005260:Female; D006302:Health Services Research; D006760:Hospitalization / Q000706:statistics & numerical data*; D006778:Hospitals, Psychiatric / Q000706:statistics & numerical data*; D006783:Hospitals, State / Q000706:statistics & numerical data; D006787:Hospitals, Veterans / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015146:Midwestern United States; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D012107:Research Design; D012189:Retrospective Studies; D012307:Risk Factors