Comparison of Healthcare System Performance in EU Candidate Countries Using an Entropy and TOPSIS-Based Multi-Criteria Decision-Making Approach: Türkiye’s Position
Şu kitabın bölümü: Bayazit Bedirhanoğlu, Ş. (ed.) 2025. Nicel Karar Verme: Çok Kriterli Yaklaşımlar ve Makine Öğrenmesi Uygulamaları.

Hamza Doğan
Dicle Üniversitesi

Özet

This study employs a multi-criteria decision-making (MCDM) approach based on the Entropy and TOPSIS methods to objectively evaluate the relative performance of the healthcare systems of nine European Union candidate and potential candidate countries. The analysis includes Türkiye, Albania, Montenegro, Serbia, North Macedonia, Bosnia and Herzegovina, Moldova, Georgia, and Ukraine.

The performance comparison is based on six key criteria: life expectancy at birth, infant mortality rate, number of physicians per capita, number of hospital beds per capita, health expenditure as a percentage of Gross Domestic Product (GDP), and Diphtheria-Tetanus-Pertussis (DTP3) vaccination coverage rate. The objective weighting of the criteria was determined using the Entropy method, which measures uncertainty. Subsequently, the performance ranking of the countries was established using the TOPSIS technique, which assesses alternatives based on their relative closeness to the ideal solution.

According to the findings, Montenegro, North Macedonia, and Serbia stand out as the countries with the highest-performing healthcare systems. In contrast, Türkiye ranks as the second-lowest performing country, just above Moldova. These results highlight significant improvement needs in Türkiye’s healthcare system, particularly in service quality and human resources. The study provides a valuable contribution to the development of evidence-based recommendations for restructuring health policies in these countries.

Kaynakça Gösterimi

Doğan, H. (2025). Comparison of Healthcare System Performance in EU Candidate Countries Using an Entropy and TOPSIS-Based Multi-Criteria Decision-Making Approach: Türkiye’s Position. In: Bayazit Bedirhanoğlu, Ş. (ed.), Nicel Karar Verme: Çok Kriterli Yaklaşımlar ve Makine Öğrenmesi Uygulamaları. Özgür Yayınları. DOI: https://doi.org/10.58830/ozgur.pub788.c3307

Lisans

Yayın Tarihi

26 June 2025

DOI

Kategoriler