İllerin Sağlık Endeksi: Bileşik Endeks Yaklaşımı ile Bir Deneme

This study aims to divide the provinces in Turkey into clusters in terms of health status and healthcare delivery indicators by using cluster analysis and determinate the differences between these clusters. The data used in this study were obtained from the database of Turkey Statistical Institute. Infant mortality rate, crude mortality rate and life expectancy at birth were considered as indicators of health status; and the number of physicians, nurses and hospital beds per hundred-thousand people were considered as healthcare delivery indicators. The Hierarchical clustering method was applied in the study and the Ward connection method was used. Based on the results of this study, the provinces of Turkey are divided into 4 clusters in terms of health indicators. It was observed that the fourth cluster, which mainly includes Eastern and Southeastern provinces, has the highest infant mortality rate; life expectancy at birth is lowest; the number of physicians, nurses and hospital beds per hundred-thousand people was the lowest. It was determined that the first cluster, which includes big and relatively more socio-economically developed provinces such as Istanbul, Ankara and Izmir, has the highest life expectancy at birth; the highest number of physicians, nurses and hospital beds per hundred-thousand people. As a result, there are significant differences in terms of health indicators among regions and provinces in Turkey. It is recommended to develop specific policies for disadvantaged regions or provinces to minimise these differences.

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Classification of Statistical Regions by Clustering Analysis According to Health Indicators in Turkey

Köse

2022

Alanya Akademik Bakış

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Bu çalışmanın amacı 2019 yılı sağlık hizmeti talep, üretim ve kapasite boyutlarındaki verilere göre istatistik bölgelerin hiyerarşik kümeleme analizi ile değerlendirilmesidir. 2019 sağlık istatistiği yıllığındaki bu boyutlardaki veriler farklı ölçüm oranlarına sahip olduğundan standartlaştırılmış Z değerleri alınmış ve analizler SPSS for Windows 15.0 programı ile yapılmıştır. Hiyerarşik kümeleme analizinde aglomeratif hiyerarşik kümeleme ile Ward's yöntemi seçilmiştir. Araştırmada 12 istatistik bölgeye ait veriler 3 boyutta ayrı ayrı ve birlikte değerlendirilmiştir. Her bir değerlendirmeye ait aglomeratif tablo ve ağaç diyagramına göre küme grupları belirlenmiştir. Sağlık hizmeti talep, üretim ve kapasite boyutlarında ayrı ayrı ve birlikte değerlendirme aşamalarında istatistik bölgeler 3 kümede gruplanmıştır. İstatistik bölgelerin kümelenmesinde coğrafi yakınlık, sosyoekonomik gelişmişlik düzeyi, nüfus yoğunluğu parametreleri belirleyici role sahiptir.

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İllerin Sağlık Endeksi: Bileşik Endeks Yaklaşımı ile Bir Deneme

Cited by 6 publications

References 14 publications

Performance Assessment of Public Hospitals with the Entropy-Weighted TOPSIS Method: The Case of Turkey

Performance Assessment of Public Hospitals with the Entropy-Weighted TOPSIS Method: The Case of Turkey

Türkiye’de İllerin Sağlık Göstergeleri Açısından Kümeleme Analizi İle Değerlendirilmesi

Classification of Statistical Regions by Clustering Analysis According to Health Indicators in Turkey

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