Acta Scientific Medical Sciences (ASMS)(ISSN: 2582-0931)

Research Article Volume 5 Issue 9

Pharmacotherapy of Systemic Autoimmune Diseases in the Convention of the Covid-19 Pandemic: Search for Innovative Technologies in the Study

Ihor Hayduchok*

Associate Professor, PhD in Medicine, Lviv Medical Institute LLC, Ukraine

*Corresponding Author: Ihor Hayduchok, Associate Professor, PhD in Medicine, Lviv Medical Institute LLC, Ukraine.

Received: July 10, 2021; Published: August 24, 2021

Abstract

The article presents the results of the search for innovative technologies in pharmacotherapy in determining the balance of "supply and demand" for drugs of different clinical and pharmacological, classification and legal, nomenclature and legal groups is timely in a pandemic COVID-19. The aim of the research was to search for innovative technologies for the study of pharmacotherapy of systemic autoimmune diseases by content analysis on the example of drug by the INN Silymarin ATC code A05BA03 in healthcare facilities. Content analysis was performed according to the range of manufacturers by grouping them using the Sturgess formula, followed by construction of discrete series of variations and distribution polygon. The conducted analysis allows obtaining a complete description of the balance of "supply and demand" between the range and manufacturers of drugs approved for use. Doctors have a choice of the appropriate drug and the manufacturer that corresponds to the social personalized pharmacotherapy.

Keywords: Pharmacotherapy; Evidence-based Medicine; Evidence-based Pharmacy; Systemic Autoimmune Diseases; Drugs; Content Analysis

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Citation

Citation: Ihor Hayduchok. “Pharmacotherapy of Systemic Autoimmune Diseases in the Convention of the Covid-19 Pandemic: Search for Innovative Technologies in the Study”.Acta Scientific Medical Sciences 5.9 (2021): 136-142.

Copyright

Copyright: © 2021 Ihor Hayduchok. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate30%
Acceptance to publication20-30 days
Impact Factor1.111

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