Objective ： This study investigated the factors affecting the prescription interval of benzodiazepines and related psychotropics. Methods ： The prescription intervals were extracted from all patients (n=1873) who visited the outpatient department of a single psychiatric hospital for one month in June 2019, and the potential factors related to longer psychotropic prescription were explored. Logistic regression analysis was performed to assess the relationship between the potential risk factors and the length of psychotropic medication prescription in days. Results ： Two cutoff values (30 days and 35 days) were used for the appropriate prescription interval. Older age [cutoff 30 days, Exp(B)= 1.014, p=0.001 ; cutoff 35 days, Exp(B)=1.014, p=0.001], fewer number of admissions [30 days, Exp(B)=0.459, p<0.001; 35 days, Exp(B)=0.438, p<0.001], fewer number of treatment sessions [30 days, Exp(B)=0.894, p<0.001; 35 days, Exp(B)=0.899, p<0.001], and longer duration of treatment [30 days, Exp(B)=1.022, p= 0.004 ; 35 days, Exp(B)=1.024, p=0.001] were related to a longer prescription interval of psychotropics. Longer duration of illness [30 days, Exp(B)=1.017, p=0.017] was related to a longer prescription term and on-site reception compared to reservation [35 days, Exp(B)=0.585, p=0.022] with a shorter prescription term. Conclusion : Our results suggest that the elderly and patients with a longer duration of illness need closer monitoring for long-interval prescription of benzodiazepines and related psychotropics.
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