Objective: Admission experience has been shown to be related to insight and treatment adherence. We evaluated the clinical correlates of the Chinese Admission Experience Survey (C-AES). Methods: A four-week longitudinal correlation study was carried out to investigate the relationship between admission experience and clinical variables. The C-AES was administered to 40 patients with schizophrenia within 48 hours of admission as a baseline, followed by subsequent interviews at two weeks and four weeks post-admission. Degree of insight into disease, attitude towards prescription, medication side effects and psychiatric symptomatology were assessed using established instruments, namely the Scale to Assess Unawareness of Mental Disorder (SUMD), the Drug Attitude Inventory (DAI), the Extrapyramidal Symptom Rating Scale (ESRS), the Scale for the Assessment of Negative Symptoms (SANS) and Scale for the Assessment of Positive Symptoms (SAPS). Regression by Generalised Estimating Equations (GEE) was used to evaluate the relationship between the clinical variables. Results: An improvement in insight was associated with a reduction in perceived coercion (B = 0.261, p < 0.01) during the four-week treatment. An increase in atypical antipsychotic dosage in milligram of chlorpromazine equivalents predicted insight improvement (B =-0.001, p < 0.01). There was an associated improvement in attitude towards medication (B =-0.027, p < 0.01). These observations were independent on schizophrenic symptoms or extrapyrimidal side effects. Conclusions: Improvement in insight is associated with a reduction in perceived coercion and a more positive attitude towards prescription, and is predicted by a higher dosage of atypical antipsychotic.
The incidence of mental illness is increasing year by year, and appears on public platforms to express the status of the disease group. Some scholars have studied the public's cognition and attitude about mental illness. On the basis of these articles, the purpose is to study the public's cognition and emotional attitude towards public expression of mental illness. This article uses text analysis to extract the most popular mental illness videos on the online platform” bilibili”, and randomly selects 1,000 comments for analysis. The results show that about 86.5% of users agree with the public expression of mental illness, and 7% of users do not agree, 6.5% of users are suspicious of symptoms and want accurate information. Through the analysis of the results, the majority of the public has a positive and positive attitude towards the patients who openly express mental illness, but the current situation of the public expression is polarized by users, with one highly identifying with and deifying the disease, while the other strongly disidentifying and contaminating the disease.
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