Road traffic crash characteristics of drivers who take prescription medicines that carry a risk to driving
Autor: | Benjamin Contrand, Louis-Rachid Salmi, Li Lu, Emmanuel Lagarde, Blandine Gadegbeku |
---|---|
Přispěvatelé: | Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Université Bordeaux Segalen - Bordeaux 2, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité Mixte de Recherche Epidémiologique et de Surveillance Transport Travail Environnement (UMRESTTE UMR_T9405), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Gustave Eiffel, CCSD, Accord Elsevier |
Rok vydání: | 2020 |
Předmět: |
Matching (statistics)
Automobile Driving 030508 substance abuse Medicine (miscellaneous) Crash ALCOHOL ACCIDENTOLOGIE 03 medical and health sciences 0302 clinical medicine PRESCRIPTION MEDICATION SECURITE ROUTIERE IETO Environmental health Intervention (counseling) DRIVERS USAGER DE LA ROUTE Humans 030212 general & internal medicine Date of birth Medical prescription Road traffic Driving under the influence Health Policy celebrities Accidents Traffic COMPORTEMENT DU CONDUCTEUR ROAD TRAFFIC CRASH CHARACTERISTICS ALCOOL Police 3. Good health celebrities.reason_for_arrest Prescriptions [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie Business France Record Linkage Study 0305 other medical science human activities |
Zdroj: | International Journal of Drug Policy International Journal of Drug Policy, Elsevier, 2020, 85, pp.P102929. ⟨10.1016/j.drugpo.2020.102929⟩ |
ISSN: | 1873-4758 0955-3959 |
DOI: | 10.1016/j.drugpo.2020.102929⟩ |
Popis: | Background The specific features of crashes involving an alcohol-intoxicated driver have been extensively characterized, but no such data are available for crashes involving a driver who has used a prescription medicine, which could help to plan and target prevention and control initiatives. This study aimed to describe the characteristics of crashes involving drivers under the influence of prescription medicines. Methods We took advantage of CESIR, a French record linkage study for which data were extracted and matched from three French national databases: police reports, the national police database of injurious crashes and the national health care insurance database (HCI database). The drivers included in the study were those involved in an injurious road crash in France from July 1, 2005 to December 31, 2015, whose national identity number, date of birth and sex allowed matching. Prescription medicines considered were those with the two highest levels of warning. Results Similar crash profiles were found when drivers used alcohol or medicines, particularly with respect to injury severity, type of vehicle, type of collision, type of road and cross-track profile. Alcohol-related crashes were over-represented during weekends and in low-density areas and medicine-related crashes were over-represented during weekdays and in cities of fewer than 300 000 inhabitants. While a much higher strength of association with responsibility was found for alcohol than for medicines, the proportion of crashes with drivers using medicines was twice as high as crashes with drivers using alcohol. Conclusion The lower risk carried by medicines is therefore in part compensated by a higher prevalence of use, making medicines one of the hidden factors of road risk. Characterizing these crashes will therefore be useful to better focus road safety intervention on the prevention of driving under the influence of psychotropic medicines. |
Databáze: | OpenAIRE |
Externí odkaz: |