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Benzodiazepine use in physicians: retrospective 5-year nationwide study in Taiwan

Published online by Cambridge University Press:  17 October 2025

Wan-Ju Cheng
Affiliation:
Department of Psychiatry, China Medical University Hospital, Taichung, Taiwan Department of Public Health, China Medical University, Taichung, Taiwan National Center for Geriatrics and Welfare Research, National Health Research Institutes, Miaoli, Taiwan
Yin-Chieh Chuang
Affiliation:
School of Medicine, China Medical University, Taichung, Taiwan
Hsuan-Ching Wang
Affiliation:
School of Medicine, China Medical University, Taichung, Taiwan
Hei-Tung Yip
Affiliation:
Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
Cheng-Li Lin
Affiliation:
Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
Cynthia Wei-Sheng Lee*
Affiliation:
Center for Drug Abuse and Addiction, China Medical University Hospital, Taichung, Taiwan Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan
*
Correspondence: Cynthia Wei-Sheng Lee. Email: 022529@tool.caaumed.org.tw
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Abstract

Background

Benzodiazepine use among physicians is an important public health issue related to physicians’ well-being and patient safety.

Aims

This study aimed to evaluate the patterns and correlates of benzodiazepine use in physicians by comparing the characteristics of heavy users with those of low-dose users.

Method

We identified 4844 physicians with a history of benzodiazepine use as the benzodiazepine cohort from 32 080 physicians from the population-based Taiwan National Health Insurance Research Database from 2014 to 2020. Benzodiazepine users were divided into low-dose, intermediate and heavy users based on their yearly equivalent dosage of <20, 20–150 and >150 defined daily dose (DDD) per year, respectively. Differences in demographic characteristics and specialities between the benzodiazepine and control cohorts were compared via univariate and multivariate logistic regression models. A generalised estimating equation was used to investigate the relationship between benzodiazepine use and comorbidities.

Results

Among all of the physicians, 15.1% used benzodiazepine. Male physicians were more likely to use benzodiazepines and become heavy users. Older age, sleep disorders and depression were significantly associated with heavy benzodiazepine use. Regarding physician specialities, the highest prevalence of benzodiazepine use was observed in otorhinolaryngology (19.8%), followed by family medicine (19.1%). Odds of benzodiazepine use were 2.20 and 2.90 times greater in physicians with sleep disorders and depression, respectively.

Conclusions

Comorbidities of depression and sleep disorders are associated with increased probability of benzodiazepine use. Providing stress-coping strategies and appropriate treatment for mental disorders is recommended to support the overall well-being of physicians.

Information

Type
Paper
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal College of Psychiatrists
Figure 0

Table 1 Demographics and comorbidities in physicians with and without benzodiazepine use during 2014–2020 (N = 32 080)

Figure 1

Table 2 Demographics and comorbidities in physicians with benzodiazepine use in 2020

Figure 2

Table 3 Estimates of longitudinal patterns of low-dose and frequent use of benzodiazepines in physicians according to the generalised estimating equations

Figure 3

Table 4 Estimates of patterns of dose of benzodiazepines in physicians in the four ordinal groups (non-users, low-, intermediate- and high-dose users) via the generalised estimating equations

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