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.
Subject(s)
Public Health , Quality of Life , Humans , Europe , Delivery of Health Care , Factor Analysis, StatisticalABSTRACT
The article uses the estimation method of the center of mass to model the country's health profile as an indicator for determining the prerequisites for the country's readiness to combat and prevent mass diseases. The authors identified the most relevant determinants that characterized society's social, economic, healthcare, and behavioral models. They formed a sequence of health profiles in the form of a four-pole barycentric model of balanced, composite dimensions. It was found that developed countries dominate according to the integrated value of the four dimensions. It indicates their significant economic, social, and medical opportunities for the population. According to the balance of dimension pairs, behavioral determinants influence the imbalance for developed countries, the health care determinants - for new industrial states. The pair of socio-economic development is the most critical for developing and the least developed countries. According to the resilience level, such countries as Ireland, Luxembourg, Iceland, Switzerland, Denmark, Greece, Australia were identified. As a result, Norway's health profile was found to be the most effective four-pole barycentric model with composite dimension efficiency, dimension pair balance, and stability level.