Effect of a Japanese drug alert pictogram on medication-taking/driving behavior

Adaptation of a European categorization system for driving-impairing medicines in Iran

OBJECTIVE

Road traffic crashes due to impaired driving are a leading cause of preventable injuries and deaths. The purpose of this study was adaptation of a European categorization system for driving-impairing medicines in Iran.

METHODS

DRUID categorization system was used as a leading model to classify medicines. Medicines that were compatible with DRUID categorization system were identified and classified accordingly. Medicines that were not compatible with DRUID categorization system were assessed in an expert panel in terms of possiblity of classification. Instructions for health care providers and advice for patients were prepared based on the medicine's influence on fitness to drive.

RESULTS

Of the 1255 medicines in Iranian pharmacopeia, 488 medicines were classified in four categories. Among classified medicines 43.85% and 25.41% belonged to Category 0 and Category 1. About 13.94%, 10.04%, and 6.76% pertained to Category 2, Category 3, and Multiple categories respectively. Majority of the medicines with moderate and severe adverse influences on driving fitness belonged to the nervous system medicines (72.65%). Most of the medicines with non-existing or minor adverse influences on driving fitness pertained to cardiovascular medicines (16.56%). Majority of uncategorized medicines belonged to Iranian herbal medicines.

CONCLUSION

The current study disclosed that DRUID categorization system was implementable for most of the commonly prescribed medicines. Experimental studies are needed to determine the influence of uncategorized medicines of Iranian pharmacopeia. Other countries with similar settings can adapt DRUID categorization system until they develop their own model using original studies.

Categorization and labeling systems concerning driving-impairing medicines: A scoping review

OBJECTIVE

Classification systems concerning driving-impairing medicines can help healthcare providers identify medicinal drugs with no or the least impairing effects and inform patients of the potential risks of certain medicines to safe driving. This study aimed to comprehensively assess the characteristics of classifications and labeling systems regarding driving-impairing medicines.

METHODS

Google Scholar and several databases, including PubMed, Scopus, Web of Science, EMBASE, safetylit.org, and TRID were searched to identify the relevant published material. The retrieved material was assessed for eligibility. Data extraction was done to compare the categorization/labeling systems concerning driving-impairing medicines in terms of characteristics such as the number of categories, description of each category, and description of pictograms.

RESULTS

After screening 5,852 records, 20 studies were selected for inclusion in the review. This review identified 22 categorization/labeling systems regarding medicines and driving. Classification systems had different characteristics, but most of them were designed based on the graded categorization system described by Wolschrijn. Initially, categorization systems had seven levels, but later the medicine impacts were summarized into 3 or 4 levels.

CONCLUSIONS

Although different categorization/labeling systems regarding driving-impairing medicines are available, the most effective systems in changing driver's behavior are the simple and understandable ones. Besides, health care providers should consider patient's socio-demographic features when informing them about driving under the influence.