Measuring efficiency of public hospitals under the impact of Covid-19: the case of Türkiye

Author:

Sülkü Seher NurORCID,Mortaş AlperORCID,Küçük AzizORCID

Abstract

AbstractThe Covid-19 pandemic has had serious medical, administrative and financial effects on the health system and hospitals around the world. In Türkiye, compared to 2019 realizations, in 2020 and 2021 respectively there were 39% and 21% decrease in the number of outpatient services and 29% and 17% decline in total inpatient services of public hospitals. The main subject of this research is how the pandemic period affects the Turkish public hospitals’ efficiency. We have measured the technical efficiency of outpatient and inpatient care services of Turkish public hospitals using Stochastic Frontier Analysis (SFA). The dataset includes 563 hospitals for the years 2015 through 2021. Inputs of number of physicians, nurses and other medical staff, and number of beds and their interactions with each other are introduced to the SFA models of outputs of outpatient visits and inpatient discharges adjusted with case mix index are derived. Firstly, we found that the years associated with Covid-19 have a significant negative impact on the inpatient service efficiency. Training and Research and City Hospitals have low efficiency scores in outpatient services but high efficiency scores in inpatient services. In addition, the regions with high population rates have positive impact in outpatient efficiency and negative impact in inpatient efficiency. During the pandemic, city hospitals, have received large investments, gained a key role by increasing both the patient load and their efficiency. Future reforms can be guided by taking advantage of the efficiency differences of hospitals in different environmental factors.

Publisher

Springer Science and Business Media LLC

Subject

Health Policy

Reference79 articles.

1. WHO. Archived: WHO timeline—COVID-19. Geneva: World Health Organization; 2020. https://www.who.int/news-room/detail/27-04-2020-who-timeline---covid-19. Accessed 02 October 2022.

2. WHO. WHO Coronavirus (COVID-19) Dashboard. Geneva: World Health Organization; 2022a. https://covid19.who. Accessed 01 December 2022.

3. WHO. COVID-19 continues to disrupt essential health services in 90% of countries. Geneva: World Health Organization; 2021. https://www.who.int/News/Item/23-04-2021-Covid-19-Continues-To-Disrupt-Essential-Health-Services-In-90-Of-Countries. Accessed 11 October 2022.

4. WHO. Addressing backlogs and managing waiting lists during and beyond the COVID-19 pandemic. Geneva: World Health Organization; 2022b. https://eurohealthobservatory.who.int/publications/i/addressing-backlogs-and-managing-waiting-lists-during-and-beyond-the-covid-19-pandemic. Accessed 02 December 2022.

5. Kaye AD, Okeagu CN, Pham AD, et al. Economic impact Of COVID-19 pandemic on healthcare facilities and systems: international perspectives. Best Pract Res Clin Anaesthesiol. 2021;35:293–306. https://doi.org/10.1016/j.bpa.2020.11.009.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3