The treatment of schizophrenia today consists of a multi-component system of services. Mental health professionals generally agree that anti-psychotic medications are an essential treatment for schizophrenia. However, adherence to medication regimens by patients with schizophrenia is notoriously poor. To identify correlates and predictors of medication compliance, the Schedule for Affective Disorders and Schizophrenia (SADS), a semi-structured diagnostic interview, was administered to 90 outpatients with schizophrenia. The results suggest that there are specific variables (i.e., mood symptoms, psychotic symptoms, and socio-demographic variables) that predict medication compliance. In addition, the confirmation of these variables was effective (90.0%) at identifying non-compliant patients. The results suggest that schizophrenia is a complex disorder composed of heterogeneous symptoms. However, a specific group of symptoms is proposed which may provide a screening measure for predicting patients who are likely to be non-compliant with their medications.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc277730 |
| Date | 08 1900 |
| Creators | Duncan, Julianne Christine |
| Contributors | Rogers, Richard, 1950-, Sewell, Kenneth W., Quinn, James, Burke, Angela J. |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | vi, 120 leaves, Text |
| Rights | Public, Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved., Duncan, Julianne Christine |
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