Color-graded pictogram label to reduce medicine-related traffic crashes found ineffective
- Date:
- August 21, 2016
- Source:
- Wiley
- Summary:
- A new study questions the effectiveness of using pictogram message on the labels of anxiety and sleep medications that interfere with driving -- an approach this is currently implemented across France. The study found that the risk of being responsible for a crash associated with these medicines did not decrease long-term after the pictogram was introduced.
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A new study questions the effectiveness of using pictogram message on the labels of anxiety and sleep medications that interfere with driving -- an approach this is currently implemented across France. The British Journal of Clinical Pharmacology study found that the risk of being responsible for a crash associated with these medicines did not decrease long-term after the pictogram was introduced.
A decade ago, France introduced a color-graded pictogram that was placed on the outer packaging of all medicines classified as being at risk for driving. Three increasing risk levels were defined and identified on packaging with a color code (yellow, orange, and red) and instructions for driving (be careful, be very careful, and danger: do not drive). To determine the impact of this change on traffic crashes, a team led by Ludivine Orriols, PhD and Emmanuel Lagarde, PhD of the University of Bordeaux analyzed information from three French national databases and matched it to 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 2011 were included in the analysis, and the study was divided into four time periods: 1) July 2005 to December 2006 corresponded to a period during which the pictogram was not yet set up; 2) January 2007 to May 2008 was used to estimate the impact of the introduction of the pictogram; and 3) June 2008 to December 2009 and 4) January 2010 to December 2011 were both defined to assess any relapse in the potential impact of the pictogram. The three drug classes considered were those with the most consistent evidence for a causal association with the risk of road traffic crashes: benzodiazepine anxiolytics, benzodiazepine hypnotics, and z-hypnotics. These drugs are commonly prescribed to treat anxiety disorders or induce sleep.
The investigators identified 69,353 responsible and 73,410 non-responsible drivers involved in an injurious crash during the study period. Use of benzodiazepine anxiolytics was associated with a 42 percent increased likelihood of being responsible for a road traffic crash during the pre-intervention period. The increased risk disappeared after introduction of the pictogram but became significant again in later time periods (19 percent and 35 percent increased risks in periods 3 and 4, respectively). This trend was similar for benzodiazepine hypnotics, although fewer individuals took these drugs, making the results insignificant. Even worse, the risk of being responsible for a crash increased in users of z-hypnotics across the study period (with 24, 32, and 32 percent increased risks in periods 2, 3, and 4, respectively).
The findings question the efficacy of the measure for promoting awareness about the effect of medicines on driving abilities. "We estimated that medicinal drug consumption is responsible for around three percent of road traffic crashes," said Dr. Orriols. "Prevention policies should be revisited towards the general driving population but also towards healthcare professionals, including general practitioners and pharmacists," added Dr. Lagarde.
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Journal Reference:
- Ludivine Orriols, Audrey Luxcey, Benjamin Contrand, Blandine Gadegbeku, Bernard Delorme, Aurore Tricotel, Nicholas Moore, Louis-Rachid Salmi, Emmanuel Lagarde. Road traffic crash risk associated with benzodiazepine and z-hypnotic use after implementation of a colour-graded pictogram: a responsibility study.. British Journal of Clinical Pharmacology, 2016; DOI: 10.1111/bcp.13075
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