| Literature DB >> 23430459 |
Tian-Mei Si1, Yun-Shu Zhang, Liang Shu, Ke-Qing Li, Xie-He Liu, Qi-Yi Mei, Gao-Hua Wang, Pei-Shen Bai, Li-Ping Ji, Xian-Sheng Cheng, Cui Ma, Jian-Guo Shi, Hong-Yan Zhang, Hong Ma, Xin Yu.
Abstract
OBJECTIVE: Clozapine is one of the most commonly used antipsychotic drugs in China. To date, few studies have investigated the patterns the prescription of clozapine nationwide. The present study examined these patterns in China in 2006 and identified the demographic and clinical characteristics associated with the use of clozapine.Entities:
Keywords: Clozapine; Prescription; Sampling studies; Schizophrenia
Year: 2012 PMID: 23430459 PMCID: PMC3569144 DOI: 10.9758/cpn.2012.10.2.99
Source DB: PubMed Journal: Clin Psychopharmacol Neurosci ISSN: 1738-1088 Impact factor: 2.582
Socio-demographic and clinical characteristics in the clozapine-users
n=1,883. RMB, renminbi; SD, standard deviation.
Comparison of the clozapine and non-clozapine groups with regard to socio-demographic and clinical characteristics in the whole sample
n=5,898. Values are presented as mean±standard deviation, number (%), or median.
RMB, renminbi.
Factors associated with use of clozapine (multiple logistic regression analysis)
n=5,898.
B, regression coefficient; SE, standard error; OR, odds ratio; CI, confidence interval.
*Region (1)-(9) represents Hebei, Sichuan, Jiangsu, Hubei, Jilin, Shanxi, Shaanxi, Jiangxi and Guangdong, and Beijing is the reference in the regression model.
†Educational level (1)-(6) represents primary school or below, junior middle school, high school/vocational high school, secondary technical school, junior college and university or above, and illiteracy is the reference in the regression model.
‡Occupation (1)-(7) represents retired, student, farmer, worker, civil servant, company/enterprise employees, institutions/Authority units personnel, and unemployed is the reference in the regression model.