Research Article

Analysis Of Universal Health Coverage Indicators With Clustering Method, A Study On OECD Countries

Volume: 10 Number: 2 October 29, 2025
TR EN

Analysis Of Universal Health Coverage Indicators With Clustering Method, A Study On OECD Countries

Abstract

Health and Quality of Life (SDG 3), one of the Sustainable Development Goals implemented by the United Nations Development Program, aims to ensure equity by ensuring that everyone has access to health services at the lowest cost. The increase in catastrophic health expenditures due to the COVID-19 pandemic has increased the importance of UHC, which is one of the goals that SDG3 aims to achieve. In this study, cluster analysis, one of the multivariate statistical analysis methods, was used to analyze the countries with similar characteristics among OECD countries in terms of the sub-targets of UHC. In the analysis, hierarchical and non-hierarchical clustering analysis was performed using data from 34 OECD countries. This study aims to determine Turkey's relative level of development among OECD countries in terms of UHC (UHC) goals. According to the results of both analyses, three clusters were obtained. Compared to other countries in the cluster, it can be stated that in order to achieve UHC in Turkey, the quality and diversity of services included in the social security system should be increased and payment mechanisms should be improved in a way that reduces financial catastrophes.

Keywords

Sustainable Development , Universal Health Coverage , Cluster Analysis

References

  1. Aytaç, E. (2021). An Alternative Approach in Defining the Similarity of Catchments: Application of Hierarchical Clustering Method. AKU J. Sci. Eng. 21 (2021) 047101. 958-970.
  2. Bholowalia, P., & Kumar, A. (2014). EBK-means: A clustering technique based on elbow method and k-means in WSN. International Journal of Computer Applications, 105(9), 17-24.
  3. Cerf, M. E. (2019). Sustainable development goal integration, interdependence, and implementation: The environment–economic–health nexus and UHC. Global Challenges, 3(9), 1900021, 1-6.
  4. Cetinturk, İ., & Gençturk, M. (2020). The Classification of The Health Expenditure Indicators of OECD Countries Through Clustering Analysis. Süleyman Demirel University Visionary Journal, 11(26), 228-244.
  5. Civil Society Engagement Mechanism (2019). Why 5% Of GDP, Access date: 2.2,2025 from https://csemonline.net/wp-content/uploads/2019/07/WHY-5-of-GDP-1.pdf.
  6. Civil Society Engagement Mechanism (2021). What is UHC?. Access date: 2.2,2025. https://csemonline.net/lessons/what-is-universal-health-coverage/.
  7. Chapman, A. R. (2016). Assessing the UHC target in the sustainable development goals from a human rights perspective. BMC international health and human rights, 16 (33), 1-9.
  8. Cuhadar, P., & Altin, M. (2023). A Study on the Socio-Economic Effects of the COVID-19 Process with Cluster Analysis. (Ed. S.Karabulut). Analysis of Economic and Financial Applications with Empirical Methods, 47-58. Bursa: Ekin Bookshop.
APA
Kalaycı Oflaz, N. (2025). Analysis Of Universal Health Coverage Indicators With Clustering Method, A Study On OECD Countries. Akademik İzdüşüm Dergisi, 10(2), 338-371. https://izlik.org/JA82GZ88HN