Susana P. Monteiro

A European approach to categorizing medicines for fitness to drive: outcomes of the DRUID project

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How Effective Are Pictograms in Communicating Risk About Driving-Impairing Medicines?

Objectives: To evaluate and compare the effectiveness of 2 pictograms in communicating risk in terms of respondents’ level of understanding, estimated level of driving risk, and intention to change driving behavior. The added value of a side-text was also investigated. Methods: Two experiments were conducted among 270 drivers visiting a pharmacy. Experiment one used a 2 (rating model vs. triangle model pictogram, same side-text) × 3 (minor vs. moderate vs. severe driving risk) between-subjects design. Respondents (n = 30 per condition) were exposed to one of the 6 conditions. To verify the added value of the side-text, a 2 (rating model with side-text vs. rating model without side-text) × 3 (same categories as before) between-subjects design was used. Results: Although the majority of the respondents understood that the pictograms were related to driving behavior, less than 10 percent and about 36 percent of the respondents looking at the triangle model and at the rating model, respectively, understood it fully. For all categories of risk, respondents who saw the rating model pictogram associated the pictogram significantly more often with risk of medication intake for driving than those who saw the triangle model pictograms. Those exposed to the triangle model overestimated the driving risk of the lowest category and underestimated the risk of the highest category; 78.8 percent of the respondents stated they were (very) likely to change their driving behavior if they were confronted with the pictogram. The added value of the side-text was not confirmed. Conclusions: Despite not being fully self-explanatory in conveying warnings and safety-related information, the pictograms evaluated in this research provided good insight into the different levels of driving risks, especially the rating model pictogram, because respondents’ intentions to change their driving behaviors increased with higher categories of risk. The added value of the side-text in the rating model pictogram was not confirmed in this research. Pictograms can be seen as a valuable means to reinforce both written and spoken information given to patients by health care providers at the time of consultation.

Age and education related preferences for pictograms concerning driving-impairing medicines

Purpose: Pictograms can increase public awareness about driving-impairing effects of medicines. However, pictograms that are not clear will negatively affect the comprehension of the message. Older and low educated adults are particularly vulnerable to misunderstandings. Comprehension is expected to be influenced by preference for the type of pictograph, but little is known about the preference of pictograms among drivers of different age groups and education levels. This study aims to investigate older and lower educated adults’ preference for a pictogram (triangle model pictogram versus rating model pictogram) related to the influence of taking driving-impairing medicines on driving fitness. Methods: Interviews among 270 drivers visiting a pharmacy were conducted. Participants were asked about their preference for the best pictogram expressing a warning message and expressing levels of impairment. A comparison between a pictogram with a more complex design (rating model) and an already implemented one (triangle model) was made. Results: 74.4% of the participants preferred the rating model to express warning messages and 82.6% preferred this model to express levels of impairment. However, older and low educated participants were more likely to prefer the triangle model over the more complex rating model. Age was the strongest predictor influencing participants’ preference for pictograms to express a warning message and levels of impairment. Young participants (18-39 years old) with high education level had the highest preference for the rating model, whereas older participants (> 60 years old) with low education level showed the lowest preference for this pictogram system. Conclusion: Age and education level are sensitive factors to be considered when designing a pictogram. In order to be equally well understood by older and low educated adults, pictograms should have a simple design and make use of familiar objects.

A European approach to categorizing medicines for fitness to drive: outcomes of the DRUID project: Medicines and fitness to drive

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT

A European approach to categorizing medicines for fitness to drive

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT