Oecd Ülkeleri̇ni̇n Sağlik Göstergeleri̇ne Göre Kümeleme Anali̇zi̇ Siniflamasi

Abstract

Health indicators are used for analyzing the health status of the population and tracking the improvement and deterioration in health conditions. Health indicators contribute to the examination of the conditions of countries in terms of health. It is a guide in determining the health policies to be followed in the future and in deciding what developments should be provided in the field of health. The aim of the study is to classify the member countries of The Organisation for Economic Co-operation and Development (OECD) according to the health indicators. The aim of the study is to determine the place of Turkey which is one of the founding members of OECD in this classification and to make evaluations. Data on health indicators were taken from the World Bank and World Health Organization database. The health indicator measures of Turkey by years were compiled from the World Bank and the OECD database. Cluster analysis, one of the multivariate statistical analysis methods, was used in the classification of countries. Seven clusters were taken in the study. In the first cluster the US, in the second cluster Turkey, in the third cluster Mexico, in the fourth cluster Lithuania, in the fifth cluster Korea and Japan, in the sixth cluster Colombia and in the seventh cluster the other OECD member countries were classified. Turkey as a developing country compared to developed countries was determined as insufficient in the context of capita health expenditure per capita, healthy life expectancy, the lifetime risk of maternal death, neonatal death rate, the number of medical doctors, nurses, midwives, and beds. According to these indicators, it is understood that in Turkey remedial policies in the health sector should be monitored.

Latent profile analysis for the classification of OECD countries with health indicators

“…Although there are different groups of indicators under the health heading on the OECD website, we prioritized the indicators of health equipment and healthcare workers to examine the status of healthcare systems. Some studies based on the classification of OECD countries focused mainly on indicators such as the number of nurses, doctors, hospital beds (7,8,10,11), health expenditure (7)(8)(9)11), or health : Different letters on the same line represent significant differences (p<0.05). SD: Standard deviation, CT: Computed tomography, MRI: Magnetic resonance imaging status indicators such as infant mortality rates and life expectancy (8,12).…”

“…Previous studies have tested data envelopment and panel tobit methods to assess the efficiency of healthcare systems by grouping various health indicators as input and output variables (4)(5)(6). Cluster analysis (7)(8)(9)(10)(11)(12), Application of Additive Ratio Assessment (ARAS), and Simple Additive Weightings (SAW) (13) methods have also been used to identify homogenous classes of member countries. This study aimed to (i) allocate OECD countries into similar sub-classes using latent profile analysis (LPA) according to the number of health equipment and healthcare workers, (ii) determine the health indicators that are effective in the formation of the classes, and (iii) evaluate the status of Türkiye in its class.…”