Tıbbi Tanı ve Tedavi Cihazlarının Sağlık Harcamaları Üzerindeki Etkisi

Year 2024, , 181 - 193, 28.02.2024

Taner Abiş , Haşim Çapar

https://doi.org/10.21076/vizyoner.1261886

Abstract

Tıbbi tanı cihazlarının sağlık harcamalarını arttırmadığı buna karşın tıbbi tedavi cihazlarının ise sağlık harcamalarını arttırdığı gerçeği ile bu çalışmanın amacı, OECD düzeyinde sağlık teknolojileri olan tıbbi tanı ve tedavi cihazlarının sağlık harcamalarına etkisini incelemek ve bu etkiden elde edilen veriler ile politikacılara kanıt sağlamaktır. Bu çalışma, panel veri analizi yöntemlerinden biri olan Driscoll-Kraay tahmincisi ile tamamlanmıştır. 11 OECD ülkesinin 2009-2016 yıllarına ait verileri ile analiz yapılmıştır. Elde edilen bulgulara göre Bilgisayarlı Tomografi (CT) ve Radyoterapi (RT) cihaz sayılarındaki 1 birimlik artış kişi başı sağlık harcaması yükünü (EXP) sırasıyla 50,478 ve 296,123 birim arttırmaktadır. Yatak Sayısı (BED) ve Mamografi (MAM) teknolojisine yapılan yatırımlardaki 1 birimlik artış ise kişi başı sağlık harcaması yükünü (EXP) sırasıyla 127,158 ve 8,697 birim azaltmaktadır. Sonuç olarak, tedavide kullanılan teknolojiler, sağlık harcamalarının yükünü arttırmaktadır. Dolayısı ile sağlık teknolojisi yatırımlarının birincil korunmaya dönük yapılması, tedavi edici sağlık hizmetlerine olan talebin azalmasına neden olacaktır. Bu durum, sağlık politikacılarının tıbbi tanı ve tedavi cihazlarının hastanelerdeki düşük payının yüksek bir harcama oranı ile ilişkili olduğu gerçeğini unutmadan kanıta dayalı politikalar üretmesini gerekli kılmaktadır.

Keywords

Tıbbi Tanı Cihazları, Tedavi Tıp Cihazları, Sağlık Harcaması, Sağlık Teknolojileri

The Impact of Medical Diagnostic and Therapeutic Devices on Health Expenditures

Abstract

It is stated that medical diagnostic devices do not increase health expenditures, whereas medical treatment devices increase health expenditures. The study aims to examine the effect of medical diagnosis and treatment devices, which are health technologies at the OECD level, on health expenditures and to provide evidence to politicians with the data obtained from this effect. The study is completed with one of the panel data analysis methods, namely the Driscoll-Kraay estimator. Analysis is conducted with data from 11 OECD countries for the 2009-2016 period. According to the findings, a 1-unit increase in the number of Computed Tomography (CT) and Radiotherapy (RT) devices, increases the per capita health expenditure burden (EXP) by 50.478 and 296.123 units, respectively. A 1-unit increase in investments in the Number of Beds (BED) and Mammography (MAM) technology, reduces the per capita health expenditure burden (EXP) by 127.158 and 8.697 units, respectively. Therefore, investing in health technology for primary prevention would reduce the demand for therapeutic health services. This situation requires health politicians to produce evidence-based policies without forgetting the fact that the low share of medical diagnostic and treatment devices in hospitals is associated with a high spending rate.

Keywords

Medical Diagnostic Devices, Therapeutic Medicine Devices, Health Expenditure, Health Technologies

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