Abstract
Purpose
Literature on antipsychotic medication adherence in early psychosis primarily assessed adherence behaviors and focused on young patients. There is a paucity of research investigating negative medication attitude and its determinants in the early illness course, particularly in older-aged sample. We aimed to examine prevalence and correlates of medication non-adherence behaviors and negative medication attitudes separately in adult patients with early psychosis.
Methods
One hundred ninety-nine Chinese early psychosis patients aged 26–55 years who had received three-year treatment for first psychotic episode in Hong Kong were examined. Assessments encompassing socio-demographics, premorbid adjustment, clinical and treatment profiles, self-stigma and therapeutic alliance were conducted. Patients were evaluated with Medication Compliance Questionnaire, which is a modified Chinese-translated version of Medication Adherence Rating Scale and includes items measuring adherence behaviors and attitudes towards medications.
Results
Rates of medication non-adherence and negative attitude towards medications were 38.7% and 50.8%, respectively. Multivariate regression analysis showed that more severe positive symptoms, greater self-stigma and negative medication attitude were independently associated with medication non-adherence. Negative attitude towards medications was significantly associated with younger age, higher educational attainment, diagnosis of other psychotic disorders, poorer insight, greater self-stigma and less satisfaction with communication with healthcare staff, which represented an index reflecting suboptimal therapeutic alliance.
Conclusion
Antipsychotic non-adherence and negative medication attitudes are frequently observed in adult early psychosis patients. Our findings indicate that poor insight, elevated self-stigma and suboptimal therapeutic alliance may constitute potential treatment targets for promoting medication adherence and rectifying negative medication attitudes in the early illness stage.