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

Tetiana Vasylieva; Beata Gavurova; Tetiana Dotsenko; Svitlana Bilan; Marcin Strzelec; Samer Khouri

doi:10.3390/ijerph20054419

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

Int J Environ Res Public Health. 2023 Mar 1;20(5):4419. doi: 10.3390/ijerph20054419.

Authors

Tetiana Vasylieva^{1

2}, Beata Gavurova³, Tetiana Dotsenko^{4

5}, Svitlana Bilan⁶, Marcin Strzelec⁷, Samer Khouri³

Affiliations

¹ The London Academy of Science and Business, London W1U 6TU, UK.
² Department of Financial Technologies and Entrepreneurship, Sumy State University, 40000 Sumy, Ukraine.
³ Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Kosice, 040 01 Kosice, Slovakia.
⁴ Economic Cybernetics Department, Sumy State University, 40000 Sumy, Ukraine.
⁵ Institute of Sociology, Technical University of Berlin, 10623 Berlin, Germany.
⁶ Department of Humanities and Social Sciences, Rzeszow University of Technology, 35-959 Rzeszow, Poland.
⁷ Academy of Justice, 02-520 Warsaw, Poland.

Abstract

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.

Keywords: behavioral aspect; canonical analysis; cluster analysis; descriptive analysis; factor analysis; healthcare system; integral indicator; level of healthcare system development; social aspect.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Delivery of Health Care
Europe
Factor Analysis, Statistical
Humans
Public Health*
Quality of Life*

Grants and funding

This research was funded by a scholarship from the Technical University of Berlin according to Invitation as Visiting Fellow at the Institute of Sociology to the Technical University of Berlin from 01.07.2022 to 28.02.2023. The work was compiled as part of the VEGA No. 1/0590/22.