Public health services: implementation of healthcare technologies

Shipko, Andrii; Shklyar, Serhii; Demikhov, Oleksii; Dźwigoł, Henryk

doi:10.21272/hem.2020.1-08

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…Health economics does not have a complete commodity form, while it has the highest consumer value. Indeed, health is the most expensive and invaluable human life capital, while it is impossible to sell or buy health in absolute terms (Probst et al, 2020;Shipko et al, 2020). However, it is possible to indirectly assess the costs of health measures, such as prevention, rehabilitation, and treatment, even though these metrics may not be relevant to finding a health price.…”

Section: Methodology and Research Methodsmentioning

confidence: 99%

An overview of the elemental and functional content of the health indicators system as an economic category

Koibichuk¹,

Jakubowska²,

Drozd³

et al. 2021

HEM

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This paper summarizes the arguments and counterarguments within the scientific discussion on defining the essence of health as an economic category. Systematization of the scientific works to defining health as an economic category requires a clear formation and a detailed description of the health determinants. For achieving the research goal, the study was carried out in the following logical sequence: 1) defining the general research problem; 2) theoretical analysis on the relevant publications; 3) classifying the health determinants by item functioning content; 4) defining areas of public policy concerning the investigated issue; 5) determining the global changes due to COVID-19 impact. The methodological base of this study was the methods of systematization, comparison, structural analysis, logical generalization, and bibliometric analysis. The study involved the VOSviewer 1.6.15 software in visualizing the obtained results. The study sample consists of 610 documents indexed in the Scopus database from 2010 to May 2021. The paper presents the classification of the health determinants by the item functioning content as follows: 1) medical and demographic orientation determinants; 2) morbidity determinants, their composition, a list of the number of appeals to medical institutions, reports of medical examinations; 3) disability determinants; 4) determinants of physical development such as somatometric (average height, weight, chest volume, geometric shape of organs and body tissues), somatotopic (geometry of the spine, legs, arms, skeletal development, etc.), and psychometric (arm strength, respiratory rate, blood pressure, etc.); 5) determinants of natural population movement (births, deaths, natural population growth, life expectancy). The authors noted that quantitative determinants mentioned above allowed determining in detail and systematically the level of health as an economic category. The findings showed that the global COVID-19 pandemic changes the legislation support of health care. Besides, the healthcare guarantees program ensures transparent government support in the medical sector of Ukraine. The authors indicated that using an «Analytical panels» (dashboards) service on the website of the National Health Service allowed the analytical data processing on medical costs. The authors highlighted the improvement in healthcare institutions’ performance and financial transparency. The obtained results could be helpful for scientists and students interested in this research issue.

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Section: Methodology and Research Methodsmentioning

confidence: 99%

An overview of the elemental and functional content of the health indicators system as an economic category

Koibichuk¹,

Jakubowska²,

Drozd³

et al. 2021

HEM

View full text Add to dashboard Cite

show abstract

“…In particular, studies that look for strengths and weaknesses, such as those related to the construction of public healthcare systems that made it possible to counteract the consequences of the pandemic effectively, have become popular. For example, studied the behavioral intentions of the population to get vaccinated and predicted the consequences of the speed of the spread of the virus [ 5 ]; looked in detail at tools that help increase the effectiveness of public health in EU countries [ 6 ]; in researchers developed road maps for possible future epidemiological threats to ensure public health at a sufficient level [ 7 ]; while investigating the problem of child mortality, identified a particular set of stabilizers in the organization of health care [ 8 ]; considered the role of mass media in covering the actual situation with the pandemic [ 9 ]; saw a relationship between the duration and severity of quarantine on the one hand, and the speed of disease spread on the other [ 10 ]; examined the degree of protection of doctors against diseases while working with patients [ 11 ]; came to the conclusion that due to the additive economy, namely the increase in production efficiency, it is possible to achieve a reduction in social risks, including in the medical field [ 12 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Public Health System Economic Efficiency and COVID-19 Resilience: Frontier DEA Analysis

Kuzior

Kashcha

Kuzmenko

et al. 2022

IJERPH

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The article summarizes the arguments and counterarguments in the scholarly discussion about the problem of choosing a model of healthcare organization. The study’s primary goal was to identify the economic efficiency of the public health system and resistance to COVID-19. The relevance of addressing this research issue is that the epidemiological challenges posed by the pandemic worldwide have manifested themselves differently in various countries. Therefore, it is advisable to consider the effectiveness of public healthcare models and how they have worked out in the fight against COVID-19. Research in the work was carried out in the following logical sequence: conducting scientometric analysis of research, creation of a statistical research base for 22 countries of the world; construction of integral indices of the economic efficiency of the health care system; calculation of public health system resilience to the COVID-19 pandemic; application of frontier DEA analysis to determine system efficiency; comparison and analysis of the results of research on the economic efficiency of public health systems obtained by different methods. The article presents the results of a comparison of the economic efficiency of the public health system, which showed that the system built according to the Beveridge principle is the most resistant to the pandemic and, at the same time, has the highest indices of economic efficiency.

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“…Other notable publications include Lyeonov S. et al [6], Tiutiunyk I. V. et al [7], Smiianov V. A. et al [8], Aliyeva Z. [9], Kolosok S. et al [10], Piven D. et al [11], Shipko A. et al [12], Strangfeldova J. et al [13], Privara A. [14], and Ivankova V. et al [15].…”

Section: Introductionmentioning

confidence: 99%

The Behavioral and Social Dimension of the Public Health System of European Countries: Descriptive, Canonical, and Factor Analysis

Vasylieva

Gavurová

Доценко

et al. 2023

IJERPH

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Background: The state and prospects of the healthcare industry of a country are among its top priorities because the quality of life and health of its citizens are indicators of its success and competitiveness. The aim of this study is to conduct a theoretical analysis and qualitative and quantitative assessments of indicators by developing an integral indicator in the context of behavioral, social, demographic, and economic factors that characterize the level of healthcare system development in European countries using multivariate statistical modeling methods. Methods: The study was implemented using Statistica 10 and Statistica Portable statistical packages. The statistical base of the study was formed using descriptive analysis; a group of 10 European countries was identified using a cluster analysis based on the application of an iterative divisive k-means method. The degree and significance of the interrelations between the components characterizing the studied groups of indicators were determined using canonical correlations by conducting a canonical analysis. Factor modeling is conducted by applying the analysis of the main components to determine the relevant indicators for assessing the level of healthcare system development to build integral indicators of the level of healthcare system development in European countries. Results: The need to improve the level of healthcare system development in European countries was confirmed. Shortcomings and possible reserves for potential improvement of the healthcare system were identified. Conclusions: The results can help public authorities, officials and employees of the healthcare sector organize and conduct effective, timely, high-quality regulation and adjustment of the regulatory and legislative framework to improve healthcare system development.

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Public health services: implementation of healthcare technologies

Cited by 4 publications

References 19 publications

An overview of the elemental and functional content of the health indicators system as an economic category

An overview of the elemental and functional content of the health indicators system as an economic category

Public Health System Economic Efficiency and COVID-19 Resilience: Frontier DEA Analysis

The Behavioral and Social Dimension of the Public Health System of European Countries: Descriptive, Canonical, and Factor Analysis

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