Trends in benzodiazepine anxiolytics and z-hypnotics use among French drivers involved in road traffic crashes from 2005 to 2015: a responsibility case-control study.

Benzodiazepines Pictogram Road traffic crashes Z-hypnotics

Journal

Injury epidemiology
ISSN: 2197-1714
Titre abrégé: Inj Epidemiol
Pays: England
ID NLM: 101652639

Informations de publication

Date de publication:
2019
Historique:
received: 07 03 2019
accepted: 09 05 2019
entrez: 16 7 2019
pubmed: 16 7 2019
medline: 16 7 2019
Statut: epublish

Résumé

In France, benzodiazepine anxiolytics and z-hypnotics (zolpidem and zopiclone) account for the largest share of road traffic crash risk attributable to exposure to prescription drugs. The aim of this study was to monitor the evolution of the use of these prescription drugs and their association with crash risk over a period that began before the implementation of a color-graded pictogram system printed on prescription drug boxes. Data from three French national databases were extracted and linked: the national health care insurance database, police reports, and the national police database of injurious crashes. Drivers involved in an injurious crash in France, from July 2005 to December 2015, and identified by their national identifier were included. The association with crash risk was estimated using a responsibility analysis comparing the use of benzodiazepines and z-hypnotics among drivers responsible or not for the crash. A total of 97,936 responsible and 103,522 non-responsible drivers involved in an injurious crash were included. The proportion of drivers exposed to benzodiazepine anxiolytics or z-hypnotics remained stable among responsible and non-responsible drivers. Among controls from the general population, the proportion of exposed individuals tended to increase. The association with crash risk remained almost constant over the study period. The odds-ratio for benzodiazepines ranged between 1.42 [1.24-1.62] at the beginning of the study period and 1.27 [1.09-1.47] at the end. Given the increase in exposure in the control group from the general population, the stability of exposure for responsible and non-responsible drivers can be interpreted as a relative effectiveness of the pictogram on driver exposure levels. On the other hand, while the intrinsic effect of a prescription drug cannot be modified, a decrease in risk could have been expected if drivers adapted their behavior as promoted by the pictogram. Our results therefore suggest that no significant change occurred in driving behaviors or consumption patterns.

Sections du résumé

BACKGROUND BACKGROUND
In France, benzodiazepine anxiolytics and z-hypnotics (zolpidem and zopiclone) account for the largest share of road traffic crash risk attributable to exposure to prescription drugs. The aim of this study was to monitor the evolution of the use of these prescription drugs and their association with crash risk over a period that began before the implementation of a color-graded pictogram system printed on prescription drug boxes.
METHODS METHODS
Data from three French national databases were extracted and linked: the national health care insurance database, police reports, and the national police database of injurious crashes. Drivers involved in an injurious crash in France, from July 2005 to December 2015, and identified by their national identifier were included. The association with crash risk was estimated using a responsibility analysis comparing the use of benzodiazepines and z-hypnotics among drivers responsible or not for the crash.
RESULTS RESULTS
A total of 97,936 responsible and 103,522 non-responsible drivers involved in an injurious crash were included. The proportion of drivers exposed to benzodiazepine anxiolytics or z-hypnotics remained stable among responsible and non-responsible drivers. Among controls from the general population, the proportion of exposed individuals tended to increase. The association with crash risk remained almost constant over the study period. The odds-ratio for benzodiazepines ranged between 1.42 [1.24-1.62] at the beginning of the study period and 1.27 [1.09-1.47] at the end.
CONCLUSION CONCLUSIONS
Given the increase in exposure in the control group from the general population, the stability of exposure for responsible and non-responsible drivers can be interpreted as a relative effectiveness of the pictogram on driver exposure levels. On the other hand, while the intrinsic effect of a prescription drug cannot be modified, a decrease in risk could have been expected if drivers adapted their behavior as promoted by the pictogram. Our results therefore suggest that no significant change occurred in driving behaviors or consumption patterns.

Identifiants

pubmed: 31304078
doi: 10.1186/s40621-019-0209-8
pii: 209
pmc: PMC6600897
doi:

Types de publication

Journal Article

Langues

eng

Pagination

32

Déclaration de conflit d'intérêts

Competing interestsThe authors declare that they have no conflicts of interest.

Références

BMJ. 2005 Dec 10;331(7529):1371
pubmed: 16321993
J Investig Allergol Clin Immunol. 2006;16 Suppl 1:37-44
pubmed: 17357376
Ann Epidemiol. 2007 Aug;17(8):597-602
pubmed: 17574863
Sleep Med. 2008 Dec;9(8):818-22
pubmed: 18226959
CNS Drugs. 2010 Aug;24(8):639-53
pubmed: 20658797
PLoS Med. 2010 Nov 16;7(11):e1000366
pubmed: 21125020
Clin Pharmacol Ther. 2011 Apr;89(4):595-601
pubmed: 21368756
Br J Clin Pharmacol. 2011 Sep;72(3):505-13
pubmed: 21501214
Br J Clin Pharmacol. 2013 Apr;75(4):1125-33
pubmed: 22971090
Traffic Inj Prev. 2013;14(3):299-308
pubmed: 23441949
Forensic Sci Rev. 2015 Jul;27(2):89-113
pubmed: 26227253
Br J Clin Pharmacol. 2016 Dec;82(6):1625-1635
pubmed: 27544927
Accid Anal Prev. 1994 Apr;26(2):243-7
pubmed: 8198693
JAMA. 1997 Jul 2;278(1):27-31
pubmed: 9207334
Lancet. 1998 Oct 24;352(9137):1331-6
pubmed: 9802269

Auteurs

Ludivine Orriols (L)

1Univ. Bordeaux, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, F-33000 Bordeaux, France.
2INSERM, IETO team, ISPED, Centre INSERM U1219-Epidemiologie-Biostatistique, F-33000 Bordeaux, France.

Gwladys Nadia Gbaguidi (GN)

1Univ. Bordeaux, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, F-33000 Bordeaux, France.
2INSERM, IETO team, ISPED, Centre INSERM U1219-Epidemiologie-Biostatistique, F-33000 Bordeaux, France.

Benjamin Contrand (B)

1Univ. Bordeaux, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, F-33000 Bordeaux, France.
2INSERM, IETO team, ISPED, Centre INSERM U1219-Epidemiologie-Biostatistique, F-33000 Bordeaux, France.

Blandine Gadegbeku (B)

3Université de Lyon, F-69000 Lyon, France.
4IFSTTAR, UMR T 9405, UMRESTTE, F-69500 Bron, France.
5Université Lyon 1, UMRESTTE, F-69000 Lyon, France.

Emmanuel Lagarde (E)

1Univ. Bordeaux, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, F-33000 Bordeaux, France.
2INSERM, IETO team, ISPED, Centre INSERM U1219-Epidemiologie-Biostatistique, F-33000 Bordeaux, France.

Classifications MeSH