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. 2020 Jul 25;13(8):165.
doi: 10.3390/ph13080165.

Population-Based Registry Analysis of Antidiabetics Dispensations: Trend Use in Spain between 2015 and 2018 with Reference to Driving

Affiliations

Population-Based Registry Analysis of Antidiabetics Dispensations: Trend Use in Spain between 2015 and 2018 with Reference to Driving

Eduardo Gutiérrez-Abejón et al. Pharmaceuticals (Basel). .

Abstract

Insulins and some oral antidiabetics are considered to be driving-impairing medicines (DIM) and they belong to the Driving under the Influence of Drugs, alcohol, and medicines (DRUID) category I (minor influence on fitness to drive). The trend of antidiabetics use in Castilla y León from 2015 to 2018 is presented through a population-based registry study. Treatment duration with these medicines and the concomitant use of other DIMs were observed. An adjustment method was used with information from the drivers' license census. For all calculations, age and gender were taken into account. 3.98% of the general population used at least one antidiabetic, as well as 2.92% of drivers. The consumption of antidiabetics in men was higher than in women (4.35% vs. 3.61%, p = 0.001), and the use increases with age, especially from 35-39 years to 75-79 years in men and 85-89 years in women. Antidiabetics were consumed chronically, specifically 100% in the case of insulins and 95% in the case of oral antidiabetics. In addition to antidiabetics, 2.5 ± 1.86 DIMs were consumed, mainly anxiolytics (25.53%), opioids (23.03%), other analgesics and antipiretics (19.13%), and antidepressants (17.73%). Collaboration between pharmacists and physicians is a priority to clearly transmitting risks to patients. It is necessary that the health authorities include information on DIMs, such as the DRUID classification, in the prescription and dispensing software.

Keywords: antidiabetics; diabetes mellitus; driving impairing medicines; driving under the influence; insulins.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Frequency of antidiabetics use by the general population and the driver population.
Figure 2
Figure 2
Frequency of use by the type of antidiabetic.
Figure 3
Figure 3
Evolution of antidiabetics use in Castilla y León (2015–2018).

References

    1. Hostiuc S., Negoi I., Hostiuc M. Diabetes and collision risk. A meta-analysis and meta-regression. Int. J. Clin. Pract. 2016;70:554–568. doi: 10.1111/ijcp.12832. - DOI - PubMed
    1. WHO . Global Report on Diabetes. World Health Organization; Geneva, Switzerland: 2016.
    1. International Diabetes Federation . IDF Diabetes Atlas 2019. International Diabetes Federation; Brussels, Belgium: 2019.
    1. Stork A.D.M., van Haeften T.W., Veneman T.F. Diabetes and driving: Desired data, research methods and their pitfalls, current knowledge, and future research. Diabetes Care. 2006;29:1942–1949. doi: 10.2337/dc05-2232. - DOI - PubMed
    1. Skurtveit S., Strøm H., Skrivarhaug T., Mørland J., Bramness J.G., Engeland A. Road traffic accident risk in patients with diabetes mellitus receiving blood glucose-lowering drugs. Prospective follow-up study. Diabet. Med. 2009;26:404–408. doi: 10.1111/j.1464-5491.2009.02699.x. - DOI - PubMed

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