Journals / Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi / 2022 / Cilt: 9 - Sayı: 4

Evaluation of the factors that affect the efficiency of diagnostic imaging technologies in Turkey: A two-stage data envelopment analysis

Türkiye’de Tıbbi Görüntüleme Cihazlarının Verimliliğini Etkileyen Faktörlerin Değerlendirilmesi: İki Aşamalı Veri Zarflama Analizi

Pages
492–500
Publication Date
2022-12-30
DOI
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AI Summary & Key Takeaways

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

Conclusion: This study is considered to provide guiding information to health policy makers and planners through its results.

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: The healthcare sector is observed to be both labor and technology concentrated.
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Key Findings & Data:Particularly based on the technological developments, there is a major increase in health expenditures.
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Conclusion & Impact:Conclusion: This study is considered to provide guiding information to health policy makers and planners through its results.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Tıbbi görüntüleme cihazları · verimlilik · manyetik rezonans görüntüleme

Abstract

Objective: The healthcare sector is observed to be both labor and technology concentrated. Particularly based on the technological developments, there is a major increase in health expenditures. Technological devices, which make pressure on health expenditures, affect the whole world while making technology management become a global concern and a long-term problem. This study aims to compare the efficiency of medical device use among 81 provinces in Turkey. The main objective of this study is to determine a national framework by reflecting the efficient and inefficient provinces in terms of medical device use and to make various recommendations accordingly. Materials and Methods: The study is comprised of a two-stage analysis. Firstly, the Data Envelopment Analysis (DEA) and then the Ordinary Least Squares (OLS) were utilized respectively. The efficient and inefficient provinces regarding medical device use were identified through DEA while the factors affecting the efficiency of provinces through OLS. Results: 22 provinces were found as efficient and 59 as inefficient among 81 provinces in total. According to the regression model, there is not any statistically significant effect of the variables such as metropolitan, rate of university graduates, gross domestic product per capita on the efficiency score (p>0.05); the number of physicians and old-age dependency rate has a statistically significant effect on the efficiency score (p≤0.05). Conclusion: This study is considered to provide guiding information to health policy makers and planners through its results.

Özet

Giriş ve Amaç: Sağlık sektörü hem emek hem de teknoloji yoğun bir sektör olarak görülmektedir. Özellikle teknolojik gelişmelere bağlı olarak sağlık harcamalarında büyük artışlar yaşanmaktadır. Sağlık harcamaları üzerinde baskı oluşturan teknolojik cihazlar tüm dünyayı etkilerken, teknoloji yönetimlerini küresel bir endişe ve uzun vadeli bir sorun haline getiriyor. Bu çalışma, Türkiye'de 81 il arasında tıbbi cihaz kullanım etkinliğini karşılaştırmayı amaçlamaktadır. Bu çalışmanın temel amacı, tıbbi cihaz kullanımı açısından verimli ve verimsiz illeri yansıtarak ulusal bir çerçeve belirlemek ve buna göre çeşitli önerilerde bulunmaktır. Gereç ve Yöntemler: Çalışma iki aşamalı analizden oluşmaktadır. İlk olarak Veri Zarflama Analizi (DEA) ve ardından Sıradan En Küçük Kareler (OLS) analizi yapılmıştır. DEA ile tıbbi cihaz kullanımında verimli ve verimsiz iller belirlenirken, illerin verimliliğini etkileyen faktörler OLS ile belirlenmiştir. Bulgular: Toplam 81 ilden 22'si verimli, 59'u verimsiz bulunmuştur. Regresyon modeline göre büyükşehir olma durumu, üniversite mezun oranı ve kişi başına düşen gayri safi yurtiçi hasıla değişkenlerinin verimlilik skoru üzerinde istatistiksel olarak anlamlı bir etkisi bulunamazken (p>0.05); hekim sayısı ve yaşlı bağımlılık oranının verimlilik skoru üzerinde istatistiksel olarak anlamlı bir etkiye sahip olduğu görülmüştür (p≤0.05). Sonuç: Bu çalışmadan elde edilen sonuçların sağlık politikası yapıcılarına ve planlayıcılarına yol gösterici bilgiler sağlayacağı düşünülmektedir.

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Cite This Article

İLGÜN, G., SÖNMEZ, S., KONCA, M., ÇAKMAK, C. (2022). Evaluation of the factors that affect the efficiency of diagnostic imaging technologies in Turkey: A two-stage data envelopment analysis. Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi, Cilt: 9 - Sayı: 4, 492–500. https://ajindex.com/articles/866025

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