In a German multicenter treatment study, 354 patients with schizophrenia and schizoaffective disorder were followed for 2 years. The data collected were taken as a basis for the present predictor study. For the first time, the technique of classification and regression tree (CART) analysis has been employed for this purpose. CART yielded informative data and appeared to be a useful instrument in predictor research. On the outcome variables "relapse" and "rehospitalization," significant predictor variables were found in several areas: neuroleptic treatment, onset and previous course (precipitating factors, first manifestation, hospitalization in the preceding year, suicide attempts), psychopathology (residual type, schizoaffective disorder), social adjustment (marital status, employment, intensity of life, Phillips score), previous life experiences (traumatic experiences and psychiatric or developmental disturbances in childhood), and biology (gender, age). Our investigation confirmed the generally prevalent views regarding the value of neuroleptic treatment, the multifactorial etiology, and the vulnerability stress model of schizophrenia.
Dropout from prophylactic neuroleptic treatment is one major reason for relapse in schizophrenia patients. There is a lack of prospective studies on factors that predict medication adherence. We investigated factors suspected to predict dropout from continuous neuroleptic treatment in a 2-year prospective study involving 122 outpatients with a DSM-III-R diagnosis of schizophrenia. Forty-two (34.4%) were classified as patient-related dropouts. No significant difference between compliant patients and dropouts was found with regard to sociodemographic variables, except that compliant patients were significantly older. Also, no differences in psychopathology were seen at the beginning of treatment, but compliant patients had a longer duration of illness. Compliant patients had higher doses of neuroleptics in the initial stabilization phase and correspondingly showed more extrapyramidal signs. Physicians rated compliant patients from the beginning as more cooperative. These patients also showed significantly higher scores in positive treatment expectations. In a stepwise regression analysis, positive illness concepts, the global assessment of functioning (GAF), and the physicians' view of patients' cooperation predicted 19 percent of the variance. We concluded that the prediction of dropouts is insufficient and remains largely an unsolved problem. Future research should focus more on context factors in the search for clinically meaningful explanations of patient dropout from treatment.
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