ULUSAL SAĞLIK SİSTEMLERİNDE TOPLAM FAKTÖR VERİMLİLİĞİ DEĞİŞİMİ: OECD ÜLKELERİ ÜZERİNDE BİR ÇALIŞMA

Year 2023, , 19 - 40, 20.06.2023

Murat Konca

https://doi.org/10.54186/arhuss.1028058

Abstract

Ulusal sağlık sistemlerinin etkinliğini kıyaslama yoluyla ortaya koyarken çeşitli parametrik ve parametrik olmayan yöntemlerden yararlanılabilir. Parametrik olmayan yöntemler arasında Veri Zarflama Analizinin (VZA) ve VZA temelli analizlerin kullanım sıklığı bakımından diğerlerinin önünde olduğu söylenebilir. Bu çalışma, Organisation for Economic Co-operation and Development (OECD) üyesi ülkelerin ulusal sağlık sistemlerinin zamana dayalı etkinliğinde yaşanan değişimi ve çeşitli ekonomik faktörler ile davranışsal risk faktörlerinin bu değişime etkisini, VZA temelli bir analiz olan Malmquist Toplam Faktör Verimliliği (MTFV) ve istatistiksel fark testleri ile ortaya koymayı amaçlamaktadır. Elde edilen sonuçlara göre, ekonomik ve davranışsal risk faktörlerine ilişkin göstergeler MTFV ve alt bileşenlerine ait skorları istatistiksel olarak anlamlı şekilde değiştirmektedir (p<0,05). Olumsuz ekonomik şartların ve davranışsal risk faktörlerinin toplumların sağlık statüsünde sebep olduğu gerilemeleri önleyici politikalar oluşturulması önerilmektedir.

Keywords

Ulusal Sağlık Sistemleri, Performans, Etkinlik, Malmquist Toplam Faktör Verimliliği

TOTAL FACTOR PRODUCTIVITY CHANGE IN NATIONAL HEALTHCARE SYSTEMS: A STUDY ON OECD COUNTRIES

Abstract

Various parametric and non-parametric methods can be used to demonstrate the efficiecny of national healthcare systems through comparison. Among the non-parametric methods, it can be stated that Data Envelopment Analysis (DEA) and DEA-based analysis are ahead of the others in terms of frequency of use. This study aims to demonstrate the change in the time-based efficiency of the national healthcare systems of the Organization for Economic Co-operation and Development (OECD) member countries and the effect of various economic factors and behavioral risk factors on this change via Malmquist Total Factor Productivity (MTFP), a DEA-based analysis, and hypothesis tests. According to the results, indicators related to economic and behavioral risk factors statistically significantly change the scores of MTFP and its sub-components (p <0.05). It is recommended to create policies to prevent the decline in the health status of societies caused by adverse economic conditions and behavioral risk factors.

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