Assessing the Efficiency and Productivity of the Hospital Clinics on the Island of Rhodes during the COVID-19 Pandemic

被引:2
作者
Androutsou, Lorena [1 ]
Kokkinos, Michail [1 ,2 ]
Latsou, Dimitra [1 ]
Geitona, Mary [1 ,3 ]
机构
[1] Neapolis Univ Pafos, Sch Econ, Dept Econ & Business, Business & Comp Sci, CY-8042 Pafos, Cyprus
[2] Gen Hosp Rhodes, Ophthalmol Dept, Rhodes 85100, Greece
[3] Univ Peloponnese, Sch Social Sci, Dept Social & Educ Policy, Corinth 20132, Greece
关键词
efficiency; productivity; data envelopment analysis (DEA); Malmquist; hospital; COVID-19; Greece; DEA; TECHNOLOGY; MANAGEMENT; SERVICES; INPUT; CARE;
D O I
10.3390/ijerph192315640
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
(1) Background: The aim was to measure the efficiency and productivity of 15 specialty clinics during the COVID-19 pandemic period 2020-2021 in the General Hospital of Rhodes. (2) Methods: An input-oriented data envelopment analysis and the Malmquist productivity index are used. Labor and capital were used as inputs, and in-patient discharges and days were used as outputs. (3) Results: Five out of the seven clinics in the pathology sector appeared fully efficient with an optimal productivity, and the rest showed progress in 2021. In 2020 the COVID-19 pathology clinic appeared to be inefficient and less productive, while in 2021, it showed a positive performance change. The surgical sector showed very high efficiency rates or even reached an optimal efficiency in both years. The productivity measurement, in most of the surgical clinics, was satisfactory to very high. In 2020 the COVID-19 surgical clinic appeared to be more efficient and productive than in 2021 when its performance declined. (4) Conclusions: The hospital responded to the pressure during the pandemic, by increasing its efficiency and productivity from 2020 to 2021. This was due to the accomplishment of the appropriate organizational changes in the infrastructure, human resources, and technology. The efficiency and productivity assessments should be incorporated in the hospitals' decision making.
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