2021
DOI: 10.21441/sosyalguvence.1050881
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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 Developm… Show more

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Cited by 3 publications
(2 citation statements)
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“…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).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…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).…”
Section: Discussionmentioning
confidence: 99%
“…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.…”
Section: Introductionmentioning
confidence: 99%