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Home / Journals / CASPIANJOURNALOF MEDICINE AND PHARMACY / Volume 3 Issue 2 / ORIGINAL INVESTIGATIONS Original article MATHEMATICAL APPROACHES TO THE SELECTION OF INDICATORS OF THE NEED FOR MEDICAL CARE
ORIGINAL INVESTIGATIONS Original article MATHEMATICAL APPROACHES TO THE SELECTION OF INDICATORS OF THE NEED FOR MEDICAL CARE
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ORIGINAL INVESTIGATIONS ORIGINAL ARTICLE MATHEMATICAL APPROACHES TO THE SELECTION OF INDICATORS OF THE NEED FOR MEDICAL CARE
UDK 614.2 3.2.3
Cherkasov Sergey N 1
Fedyaeva Anna 2
Isyanova Alina M 3
Shevchenko Mikhail A 4
Lobanov Aleksey V 5
Authors:
1.  V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences

2.  V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences (laboratoriya 81 «Upravlenie obschestvennym zdorov'em», Senior Researcher of the Laboratory)

Moscow, Russian Federation
3.  V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences

4.  V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences

5.  V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences

Type:
Article
DOI:
https://doi.org/10.48612/agmu/2022.3.2.44.52
Pages:
from 44 to 52
Status:
Published
Received:
18.06.2022
Accepted:
25.06.2022
Published:
25.06.2022
Subject area:
UDK 614.2 3.2.3
Language:
Russian
Keywords:
planning of medical care, the need for medical care, indicators of the need for medical care, mathematical modeling
Abstract and keywords
Abstract (English):
The purpose of the study: to substantiate and implement a mathematical analysis of the dependencies between the indicators of the need for medical care.Materials and methods. As a source of information, we used data on cases of medical care provided to the population of older age groups (60 years and older) (the database of appeals of the TFOMS of the Moscow region for 2019-2020). The characteristic of the need was expressed by calculating seven relative indicators, of which four reflected the frequency of medical care cases: the number of visits and the number of requests from medical organizations providing outpatient medical care, the number of hospitalizations to a hospital around the clock and day stay, and three reflected the volume of medical care provided: the duration of treatment in outpatient conditions and the duration of treatment in conditions of roundthe clock and day hospital. Frequency indicators were expressed in cases per 1000 population, volumetric in days of treatment per 1000 population. The dependencies between the indicators of need were determined by calculating the correlation coefficient of each indicator with each. The analysis of the obtained data on the degree of dependence between the indicators of need was carried out by comparing the modulus of the correlation coefficient with the Cheddock scale. For the purposes of this study, the conditions included in Class IX "Diseases of the cardiovascular system" were selected. The calculation of dependencies took into account the gender attribute, that is, the matrix was calculated for men and women separately. Conclusion.It seems appropriate to use only two intensive indicators when modeling the need for medical care provided in outpatient settings for both men and women: the number of visits per 1000 population and the number of days of outpatient treatment per 1000 population, when modeling the need for medical care provided in inpatient conditions according to one indicator: the duration of treatment in a hospital around the clock stay per 1000 population and the duration of treatment in a daystay hospital per 1000 population.

Keywords:
planning of medical care, the need for medical care, indicators of the need for medical care, mathematical modeling
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