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Journals / Hacettepe Sağlık İdaresi Dergisi / 2015 / Cilt: 18 - Sayı: 1

Examination of Out of Pocket Health Expenditures In Member of OECD Countries Using Hierarchical Clustering Analysis

OECD'ye Üye Ülkelerde Cepten Sağlık Harcamalarının Hiyerarşik Kümeleme Analizi İle İncelenmesi

Songül ÇINARLIOĞLU
Pages
47–60
Publication Date
2022-10-17
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

At theend of the analysis it was seen that performance of longest common subsequences and euclideandistance measure was better about discriminating clusters and countries which have similar trend aboutout of pocket health expenditures were in the same clusters.

📌 3 Key Takeaways

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Objective & Hypothesis:Out of pocket health payments refers to the payments made by households at the time they receivehealth services.
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Key Findings & Data:Typically it includes doctor s consultation fees, medicine and other hospital relatedcosts.
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Conclusion & Impact:At theend of the analysis it was seen that performance of longest common subsequences and euclideandistance measure was better about discriminating clusters and countries which have similar trend aboutout of pocket health expenditures were in the same clusters.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Out of pocket health payments refers to the payments made by households at the time they receivehealth services. Typically it includes doctor s consultation fees, medicine and other hospital relatedcosts. In this study it was aimed to classi fy member of OECD countries interms of out of pocket healthpayments, using di fferent similarity and proximity measures and using hierarchical clustering method.Longest common subsequences, correlation coefficient and euclidean distance measure was used fordetermining similaritities and proximities between countries in hierarchical clustering analysis. At theend of the analysis it was seen that performance of longest common subsequences and euclideandistance measure was better about discriminating clusters and countries which have similar trend aboutout of pocket health expenditures were in the same clusters.

Özet

Cepten sağlık harcamaları hanehalklarının sağlık hizmeti alımı sırasında yapmış olduklarıharcamaları göstermektedir. Bu harcamalar arasında doktor muayene ücretleri, ilaç ve diğer hastaneharcamaları bulunmaktadır. Bu çalışmada OECD ye üye olan ülkelerin 1995-2011 yılları için ceptenyapılan sağlık harcamaları bakımından, farklı benzerlik ve uzaklık ölçüleri kullanılarak ve hiyerarşikkümeleme yönteminden yararlanılarak gruplandırılması amaçlanmıştır. Yapılan hiyerarşik kümelemeanalizinde ülkeler arasındaki benzerlik ve uzaklıkların belirlenmesinde en uzun ortak küme, korelasyonkatsayısı ve öklit uzaklık ölçüsü kullanılmıştır. Analiz sonuçlarına göre en uzun ortak küme ve öklituzaklık ölçüsünün kümelerin ayırt edilmesinde daha iyi bir performans sergilediği bulunmuş olupincelenen yıllar içerisinde cepten sağlık harcaması bakımından benzer trende sahip olan ülkelerin aynıkümelerde yer aldıkları görülmüştür

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Cite This Article

ÇINARLIOĞLU, S. (2022). Examination of Out of Pocket Health Expenditures In Member of OECD Countries Using Hierarchical Clustering Analysis. Hacettepe Sağlık İdaresi Dergisi, Cilt: 18 - Sayı: 1, 47–60. https://ajindex.com/articles/531099

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