Barnay Thomas, Baudot François-Olivier
ERUDITE, Université Paris-Est Créteil, 61 Avenue du Général de Gaulle, Créteil, 94010, France.
Direction de la Stratégie, des Études et des Statistiques, Caisse Nationale de l'Assurance Maladie, 50 Avenue du Professeur André Lemierre, Paris, 75986, France.
Health Econ Rev. 2023 Oct 23;13(1):48. doi: 10.1186/s13561-023-00464-5.
A work accident constitutes a shock to health, likely to alter mental states and affect the use of psychotropic drugs. We focus on the use of benzodiazepines, which are a class of drugs commonly used to treat anxiety and insomnia. Prolonged use can lead to dependence. Our objective is to determine the extent to which work accidents lead to benzodiazepine use and overuse (i.e. exceedance of medical guidelines).
We use a two-step selection model (the Heckman method) based on data from the French National Health Data System (Système National des Données de Santé, SNDS). Our study sample includes all general plan members who experienced a single work accident in 2016 (and not since 2007). This sample includes 350,000 individuals in the work accident group and more than 1.1 million people randomly drawn from the population without work accidents from 2007 to 2017 (the non-work accident group).
The occurrence of a work accident leads to an increase in benzodiazepine use and overuse the following year. The selection model shows a clear influence of the accident on the use probability (+ 39%), but a very slight impact on the risk of overuse among users (+ 1.7%), once considered the selection effect. The effect on overuse risk is higher for more severe accidents and among women.
The increase in the risk of benzodiazepine overuse is due to an increase in the likelihood of using benzodiazepines after a work accident that leads to overuse, rather than an increase in likelihood of overuse among people who use benzodiazepines. Results call for targeting the first-time prescription to limit the risk of overuse after a work accident.
工伤事故对健康构成冲击,可能改变精神状态并影响精神药物的使用。我们关注苯二氮䓬类药物的使用,这类药物常用于治疗焦虑和失眠。长期使用可能导致依赖。我们的目标是确定工伤事故导致苯二氮䓬类药物使用及滥用(即超出医学指南规定)的程度。
我们基于法国国家卫生数据系统(Système National des Données de Santé,SNDS)的数据,使用两步选择模型(赫克曼方法)。我们的研究样本包括在2016年经历过单次工伤事故(且自2007年以来未曾经历过)的所有普通医保成员。该样本包括工伤事故组的350,000名个体以及从2007年至2017年未发生工伤事故的人群中随机抽取的超过110万人(非工伤事故组)。
工伤事故的发生导致次年苯二氮䓬类药物使用及滥用情况增加。选择模型显示事故对使用概率有明显影响(增加39%),但一旦考虑选择效应,对使用者中滥用风险的影响非常轻微(增加1.7%)。对于更严重的事故以及女性,对滥用风险的影响更高。
苯二氮䓬类药物滥用风险的增加是由于工伤事故后导致滥用的苯二氮䓬类药物使用可能性增加,而非使用苯二氮䓬类药物人群中滥用可能性增加。研究结果呼吁针对首次处方进行干预,以限制工伤事故后滥用的风险。