ABSTRACT
Violations in the provision of medical care are detected by controlling the volume, timing, quality and conditions of medical care. The objective of the work is assessment of the activities of the round-the-clock hospital from the standpoint of the quality of medical care during the COVID-19 pandemic. Material and methods. A database of indicators reflecting the activity of round-the-clock hospital for four years, from 2017 to 2020 (Omsk) was formed. Analytical, statistical methods and the method of expert assessments were used to analyze the required indicators. Results. Evaluation of inpatient hospital activities during the COVID-19 pandemic compared to the "pre-pandemic” years showed a 1.9-fold and 2.9-fold decrease in the total number of quality examinations performed and the number of defects detected, respectively. The number of defects that were grounds for denial or reduction of payment for medical care found in the "before-COVID-19” years was 2.1 times higher than in 2020. In 2020, the weight of the share of those defects that directly reflect the quality of medical care increased significantly. The quantitative composition of the inpatient hospital staff changed insignificantly during the analyzed period – the number of physicians increased by only 5% over four years, with no dynamics in the qualitative characteristics of the staff. The number of medical equipment increased by 27.6%. Due to re-profiling in 2020, there was a decrease in the number of hospitalized patients, with an increase in the proportion of patients admitted by emergency care (up to 91%) and an increase in mortality by 2.7 times. Conclusions. One of the conditions for maintaining high quality of medical care is a balance between the main components of quality: accessibility, timeliness, sufficiency, efficiency and safety and the speed of its achievement, which in turn depends on the amount of resources and reserves. © 2023, Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences. All rights reserved.
ABSTRACT
Violations in the provision of medical care are detected by controlling the volume, timing, quality and conditions of medical care. The objective of the work is assessment of the activities of the round-the-clock hospital from the standpoint of the quality of medical care during the COVID-19 pandemic. Material and methods. A database of indicators reflecting the activity of round-the-clock hospital for four years, from 2017 to 2020 (Omsk) was formed. Analytical, statistical methods and the method of expert assessments were used to analyze the required indicators. Results. Evaluation of inpatient hospital activities during the COVID-19 pandemic compared to the "pre-pandemic” years showed a 1.9-fold and 2.9-fold decrease in the total number of quality examinations performed and the number of defects detected, respectively. The number of defects that were grounds for denial or reduction of payment for medical care found in the "before-COVID-19” years was 2.1 times higher than in 2020. In 2020, the weight of the share of those defects that directly reflect the quality of medical care increased significantly. The quantitative composition of the inpatient hospital staff changed insignificantly during the analyzed period – the number of physicians increased by only 5% over four years, with no dynamics in the qualitative characteristics of the staff. The number of medical equipment increased by 27.6%. Due to re-profiling in 2020, there was a decrease in the number of hospitalized patients, with an increase in the proportion of patients admitted by emergency care (up to 91%) and an increase in mortality by 2.7 times. Conclusions. One of the conditions for maintaining high quality of medical care is a balance between the main components of quality: accessibility, timeliness, sufficiency, efficiency and safety and the speed of its achievement, which in turn depends on the amount of resources and reserves. © 2023, Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences. All rights reserved.
ABSTRACT
This study is aimed at assessing impact of public opinion about vaccination on immunization against COVID-19 and, as a result, implementation of measures for the non-proliferation of morbidity among the population. The study differs from previous ones in the following areas: 1) posts from the most popular social network in Russia, VKontakte, are analyzed for the first time;2) influence of intensity of the epidemic process and attitude of the population to vaccination on inoculation coverage is considered;3) lag effect and influence on running time of indicated factors on vaccination, are considered. Morbidity dynamics in Russia and vaccination rate were analyzed according to the portal "Our World in Data". Attitude of population to vaccination is determined through sentiment analysis of posts of Vkontakte in 2021. Assessment of dependence of people's attitude to vaccination and implementation of immunization process, as well as the spread of viral infection, is studied using Granger causality test. The results of the article can be used in solving problems of increasing effectiveness of implementation of state anti-epidemic measures and management of vaccination process. © 2022 IEEE.
ABSTRACT
Background: The development of the incidence of COVID-19 in the OECD countries is characterized by strong variability and heterogeneity, which determines their different impact on the economies of these countries. The purpose of the study is to identify patterns in temporal trends in the incidence of COVID-19 in 37 economically developed countries, as well as in Russia and China. Methods and results: The research was carried out on the basis of data from the sites 'Our World in Data' and the International Monetary Fund. To solve the problem of grouping countries according to the COVID-19 development trend, the k-means cluster analysis method was used in combination with the DTW algorithm. Calculations were performed using Python 3.7. As a result, 6 clusters were identified in the OECD countries. Russia and China are not close to any of them in terms of the parameters characterizing the profiles of the clusters. In Russia, with the lowest number of cases at the beginning of the analyzed period, there is an average growth rate, against which the average level of the number of cases will be reached by the end of 2020. In China, with the highest incidence of cases at the beginning of the analyzed period during 2020, there was the lowest growth rate, due to which at the end of the analyzed period China had the lowest number of cases. Conclusions: Our research provided a new basis for describing, interpreting and predicting the development of COVID-19 in economically developed countries. © 2021 IEEE.