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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.
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Introduction: Self-stigma impedes recovery process and is associated with poorer clinical and functional outcomes in people with psychotic disorders. However, there is limited research specifically examining self-stigma in the early stage of illness, and mixed findings were observed regarding factors associated with increased self-stigma. We aimed to investigate the rate and correlates of self-stigma in a cohort of adult patients with early psychosis using a comprehensive array of clinical, treatment and other illness-related variables. Methods: A total of 101 Chinese adult early psychosis patients aged 26-55 years who had received three-year psychiatric treatment for first psychotic episode in Hong Kong and completed self-stigma assessment were included for the current investigation. A broad range of assessments encompassing socio-demographics, premorbid adjustment, onset and illness profiles, symptom severity, psychosocial functioning, treatment characteristics and medication side-effects were conducted. Results: Twenty-eight (27.7%) patients had moderate-to-high levels of self-stigma. Univariate linear regression analyses showed that age at study entry, sex, educational level, age at psychosis onset, duration of untreated psychosis (DUP), insight level, global psychosocial functioning, and the use of second-generation antipsychotic were related to self-stigma levels. Final multivariable regression model revealed that female sex, younger age at entry, longer DUP and better insight were independently associated with higher levels of self-stigma. Conclusion: More than one-fourth of early psychosis patients experienced significant self-stigma, highlighting an unmet need for early detection and intervention of self-stigma in the initial years of illness. Further investigation is warranted to clarify trajectories and predictors of self-stigma in the early illness course.
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AIM: To investigate correlates of insight dimensions in Chinese adult patients with early psychosis. METHODS: Insight dimensions including awareness of mental disorder (AMD), illness consequences (AIC) and medication effect (AME) were measured. A wide array of variables encompassing demographics, premorbid adjustment, onset profiles, symptomatology, treatment characteristics and psychological factors were comprehensively assessed. RESULTS: Of 130 participants, 53.1%, 47.7% and 56.2% were categorized with good AMD, AIC and AME, respectively. Good AMD was associated with female gender, fewer positive and disorganization symptoms, more severe depression and greater self-stigma. Good AIC was related to female gender, more severe depression and greater self-stigma. Younger age of onset, fewer positive symptoms and greater service satisfaction associated with good AME. CONCLUSIONS: Poor insight is prevalent in early psychosis. Differential relationships of insight dimensions with other illness variables underscore the importance of multidimensional approach in insight evaluation, and suggest potential treatment target for insight enhancement.