Background: Procurement of medicines reflects the demand and frequency of prescribing certain drugs, which makes it possible to assess the quality of medical care and compliance with standards. The Russian pharmaceutical market is dynamically developing and expanding, therefore, the commercial sector of drug circulation is a significant part of it and should be studied along with public procurement. Given the significant number of patients diagnosed with diabetes mellitus (DM) in our country, we considered it appropriate and interesting to analyze the structure and volume of turnover of antidiabetic drugs in the retail trade over five years.

Aim: to assess the dynamics of the cost and sales volumes of hypoglycemic drugs in the commercial sector for 2019-2020 compared to 2016.

Materials And Methods: The analysis was made on the basis of the data of antidiabetic drugs purchases in Russian pharmacies in 2016 and 2019-2020, according to 95257 pharmacies data.

Results: In 2020, compared to 2016, we see a significant increase in the number of packages purchases (+14,952,897 rub.) and the purchases total amount (+9,377,975,722 rub.), in parallel with the increase in average price per box of the hypoglycemic drug +199, 57 rub. The average price for DPP4 decreased. The cost per pack of metformin remains one of the lowest, second only to glibenclamide and gliclazide. The most expensive drugs include GLP1 group representatives. Insulin purchases have halved, when budget for GLP1 have increased by 10 times, for SGLT2 by 9.5 times, and for DPP4 by 2.1 times. In 2020, metformin gliclazide, a combination of glibencladimide with metformin, glibenclamide and vildgaliptin remain leaders in the number of purchased packages. The purchase leaders in terms of budget share are: metformin, gliclazide, liraglutide, vildagliptin and dapagliflozinCONCLUSION: There are positive trends in the demand for more effective innovative hypoglycemic drugs, however, the affordability of drugs still dominates over the feasibility of their clinical use, and a high percentage of drug turnover in the commercial sector might indicates insufficient funding for drug provision for patients with diabetes mellitus.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520906PMC
http://dx.doi.org/10.14341/probl13200DOI Listing

Publication Analysis

Top Keywords

commercial sector
12
diabetes mellitus
8
antidiabetic drugs
8
hypoglycemic drugs
8
average price
8
metformin gliclazide
8
drugs
7
[characteristics purchases
4
hypoglycemic
4
purchases hypoglycemic
4

Similar Publications

Luminescence of NaLaMgWO doped with lanthanide activators Tb, Eu and Er are reported. These activators exhibit characteristic emission spectra. Either the emission colour or the excitation spectrum distinguishes between these activators.

View Article and Find Full Text PDF

The nexus between the business environment and high-quality economic development is pivotal for fostering sustainable growth. This study delves into their interrelationship, recognizing its profound practical significance. We have developed a comprehensive index system to evaluate high-quality economic development, encompassing four key dimensions: green development quality, robust economic growth, innovation dynamics, and equitable societal benefits.

View Article and Find Full Text PDF

This study investigates the effects of fuel price hikes on the livelihoods of small-scale coastal fisherfolk in Ghana. The study applied a mixed-methods approach consisting of a questionnaire survey of 320 fisherfolk and 20 interviews with stakeholders in the fisheries sector. Increase in expenses, reduced frequency of fishing, an upsurge in social vices, and declining small-scale fisheries opportunities were found to be the main effects of fuel price hikes on fisherfolk livelihoods.

View Article and Find Full Text PDF

An enhanced Transformer framework with incremental learning for online stock price prediction.

PLoS One

January 2025

Harvard extension school, Harvard University, Boston, Massachusetts, United States of America.

To address the limitations of existing stock price prediction models in handling real-time data streams-such as poor scalability, declining predictive performance due to dynamic changes in data distribution, and difficulties in accurately forecasting non-stationary stock prices-this paper proposes an incremental learning-based enhanced Transformer framework (IL-ETransformer) for online stock price prediction. This method leverages a multi-head self-attention mechanism to deeply explore the complex temporal dependencies between stock prices and feature factors. Additionally, a continual normalization mechanism is employed to stabilize the data stream, enhancing the model's adaptability to dynamic changes.

View Article and Find Full Text PDF

Self-cleaning applications based on bionic surface designs requires an in-depth understanding of unique and complex wetting and evaporation processes of sessile droplets on natural biosurfaces. To this end, hydrophobic bamboo and Kalanchoe blossfeldiana leaves are excellent candidates for self-cleaning applications, but various properties, such as the heat and mass transfer processes during evaporation, remain unknown. Here, the dynamics of contact angle, radius, and heat and mass transfer during evaporation of sessile droplets on bamboo and Kalanchoe blossfeldiana leaves with roughness in the range 2.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!