PREDICTION OF NEEDS FOR ANTIHYPERTENSIVE DRUGS IN THE REPUBLIC OF TATARSTAN

DOI: https://doi.org/None
Issue: 
1
Year: 
2016

Professor R.S. Safiullin, PhD; F.F. Yarkaeva, PhD; M.F. Bariev Kazan State Medical University; 49, Butlerov St., Kazan 420012

The paper presents the results of a structural analysis of the assortment of antihypertensive drugs registered in the Russian Federation. A correlation analysis has been used to identify factors influencing the needs for antihypertensive medications that are purchased in accordance with the Essential Drugs Program in the Republic of Tatarstan and that have been highly appreciated by experts. Multifactor mathematical modeling in predicting the need for antihypertensive drugs can more exactly determine their quantity required for drug care. Thus, 17 mathematical models created during the investigations to predict the needs for a number of antihypertensive drugs in the federal persons entitled to a benefit in the Republic of Tatarstan may be used to make applications for the drugs funded through the budget.

Keywords: 
antihypertensive drugs
multifactor mathematical models
prediction of needs
quality of drug care

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