Work accident effect on the use of psychotropic drugs: the case of benzodiazepines.
Accident
Benzodiazepine
Drug
France
Occupational accident
Overconsumption
Overuse
SNDS
Work
Journal
Health economics review
ISSN: 2191-1991
Titre abrégé: Health Econ Rev
Pays: Germany
ID NLM: 101583209
Informations de publication
Date de publication:
23 Oct 2023
23 Oct 2023
Historique:
received:
09
03
2023
accepted:
11
10
2023
medline:
24
10
2023
pubmed:
24
10
2023
entrez:
23
10
2023
Statut:
epublish
Résumé
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.
Sections du résumé
BACKGROUND
BACKGROUND
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).
METHOD
METHODS
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).
RESULTS
RESULTS
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.
CONCLUSION
CONCLUSIONS
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.
Identifiants
pubmed: 37872453
doi: 10.1186/s13561-023-00464-5
pii: 10.1186/s13561-023-00464-5
pmc: PMC10594863
doi:
Types de publication
Journal Article
Langues
eng
Pagination
48Subventions
Organisme : Association Nationale de la Recherche et de la Technologie
ID : 2017/1799
Informations de copyright
© 2023. Springer-Verlag GmbH Germany, part of Springer Nature.
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