TY  - JOUR
TI  - Classification of Oecd Countries in Terms of Medical Resources and Usage with Hierarchical Clustering Analysis
AB  - Medical resources and usage data collected regularly and could be considered a major benchmark for countries. We aimed to classify the Organisation for Economic Co-operation and Development(OECD) member countries using the World Bank data in terms of medical resources and usage. This is a cross - sectional study. The medical resources and usage data between 2010-2015 were evaluated. Among 36 OECD member countries, 13 of them that lacked data couldn’t be included in the study. Hierarchical clustering analysis was used for grouping countries with similar medical resources and usage. Although there are various methods of hierarchical clustering analysis, Ward method, has been used. Square Euclidean distance was used to obtain clusters by Ward method. Pearson correlation analysis was used to evaluate the relationship between variables. Hierarchical clustering analysis resulted in 4 clusters for selected 23 OECD countries. It was found that Turkey was in the first cluster together with Israel, Spain, Greece and Mexico. The heterogeneous clustering among the OECD countries may have been produced by the financial disparities between the countries. The results are expected to provide helpful insight on the comparison of health status.
AU  - Colak, Ertugrul
AU  - Ünsal, Alaettin
AU  - arslantas, didem
AU  - Dağtekin, Gökçe
AU  - Kılınç, Ali
DO  - 10.20515/otd.978341
PY  - 2022
JO  - Osmangazi Tıp Dergisi
VL  - 44
IS  - 4
SN  - 1305-4953
SP  - 487
EP  - 492
DB  - TRDizin
UR  - http://search/yayin/detay/1118879
ER  -