Technical Efficiency in Public Hospitals: A Meta-Regression Analysis

Year 2022, , 810 - 821, 01.12.2022

Neylan Kaya , Aydolu Algın

https://doi.org/10.17153/oguiibf.1094736

Cited By: 1

Abstract

This study attempts to examine the studies using Data Envelopment Analysis to calculate the efficiency of public hospitals and to identify the factors influencing their technical efficiency through meta-regression analysis. This study employed 35 empirical articles which were published between 1960 and 2022 and which met the inclusion criteria. The results of the meta-regression analysis revealed that the publication year of the studies and the income groups of the countries did not have an impact on the average technical efficiency. The number of hospitals, the number of variables, the year of data collection, and the continent of the countries was noted to be statistically significant in terms of the average technical efficiency estimation. This study suggested that the efficiencies of the vast majority of public hospitals were above optimal. The study is expected to raise politicians’ and administrators’ awareness of increasing the efficiency of hospitals.

Keywords

Meta-Regression Analysis, Technical Efficiency, Data Envelopment Analysis, Public Hospitals

Kamu Hastanelerinde Teknik Etkinlik: Bir Meta-Regresyon Analizi

Abstract

Bu çalışmanın amacı, kamu hastanelerinin etkinliğinin hesaplanmasında Veri Zarflama Analizini kullanan çalışmaları incelemek ve teknik etkinliklerini etkileyen faktörleri meta-regresyon analizi ile belirlemektir. 1998-2021 yılları arasında yayımlanmış ve dahil etme kriterlerini sağlayan 30 ampirik makale bu çalışmanın örneklemini oluşturmaktadır. Meta-regresyon analizi sonuçlarına göre çalışmaların yayın yılı ve ülkelerin gelir grupları ortalama teknik etkinliği etkilememektedir. Hastane sayısı, değişken sayısı, veri toplama yılı ve ülkenin bulunduğu kıta değişkenleri ortalama teknik etkinlik tahmini üzerinde istatistiksel olarak anlamlıdır. Çalışma, kamu hastanelerinin büyük çoğunluğunun etkinliklerinin optimalin üstünde olduğunu göstermiştir. Bu çalışmanın, sağlık alanındaki politikacılara ve yöneticilere hastanelerin etkinliğinin artması konusunda farkındalık sağlaması beklenmektedir.

Keywords

Meta-Regresyon Analizi, Teknik Etkinlik, Veri Zarflama Analizi, Kamu Hastaneleri

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