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Predictors of Engagement in an Urban Geriatric Psychiatry Clinic

SUNY Health Science Center at Brooklyn.

The authors performed a chart review of 174 patients age 50 and over (mean age, 69 years) to test a model of social and clinical characteristics that predict engagement in outpatient treatment. "Engaged" patients were defined as those who had three or more clinic visits. Logistic regression analysis, using a 14-variable model, was highly significant (T = 0.0003) and able to correctly classify 70% of cases. There were four predictors of clinical engagement: being a Medicaid recipient (P < 0.01), shorter length of current symptoms (P < 0.05), younger age (P = 0.06), and having a diagnosis of schizophrenia (P = 0.06); and these variables accounted for all the explained variance. These findings indicated that predictors of engagement do not invariably follow the patterns reported for younger patients.

This article has been cited by other articles:

				P. M. Aupperle, R. Lifchus, and A. C. Coyne Past Utilization of Geriatric Psychiatry Outpatient Services by a Cohort of Patients With Major Depression Am J Geriatr Psychiatry, November 1, 1998; 6(4): 335 - 339. [Abstract] [Full Text]