Assessment of Countries in OECD According to Health Indicators by Clustering and Principal Component Analyzes

Mesut Teleş, Murat Konca

Abstract


The aim of this study was to investigate how the countries in OECD are clustered according to their health indicators. The examination of the indicators that are effective in the cluster of countries was another aim of this work. The study's universe constituted 34 OECD member states. No sample was taken in the study, it was aimed to reach the whole of the universe. In the study, 14 types of health indicators were used. In the cluster of countries according to health indicators, both complete linkage clustering method and principal component analysis were used.

In the study, it was decided that the countries could be collected in 5 clusters. The cluster formed by Turkey, Mexico and Chile had the lowest rates in 11 health indicators while the cluster had the highest rate in 1 of the 14 health indicators. Another cluster formed by South Korea and Japan which was farthest cluster to the cluster formed by Turkey, Mexico and Chile. This cluster had the highest rates in 4 health indicators while the cluster had the lowest rates in 2 of the 14 health indicators.

Countries in OECD grouped into 5 clusters according to health indicators. Each country in these clusters should be assessed they are similar to other countries in terms of which health indicators. Future studies should investigate what can be done to ensure that these countries can be at the desired levels according to the quality of health indicators.


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