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

Androutsou, Lorena; Kokkinos, Michail; Latsou, Dimitra; Geitona, Mary

doi:10.3390/ijerph192315640

Cited by 6 publications

(4 citation statements)

References 76 publications

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“…The data envelopment analysis (DEA) method proposed by Androutsou et al (2022) [18] is one of the critical tools for performing productivity measurements. The DEA method can deal with complex data problems involving multiple inputs and multiple outputs.…”

Section: Solution Using the Dea Methodsmentioning

confidence: 99%

“…A certain model was developed for improving the productivity of warehouses and logistics distribution centers using the PROMETHEE II and DEA methods [17]. Since appropriate organizational changes were made in terms of infrastructure, human resources, and technology, efficiency and productivity assessments were incorporated into hospital decision-making [18].…”

Section: Introductionmentioning

confidence: 99%

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Combining Novel Integration and the DEA Technique to Compute Dredging Productivity

Lai¹,

Hsieh²

2023

Preprint

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Construction productivity entails a wide range of work combinations. When human resources are scarce, it is critical to replace manpower with machinery, and calculating machinery productivity is crucial. Traditional labor productivity methods, however, cannot address dredging complex multi-attribute decision-making (MADM) problems. Aiming to address the limitations of the traditional labor productivity method, this paper extends the data envelopment analysis (DEA) and proposes a new dredging productivity evaluation method. The proposed method can solve the problem of evaluating various combinations of factors (single-input, multiple-input, sin-gle-output, and multiple-output) and the problem suggesting that the efficiency of the DEA method'scalculation results is equal to 1. The effectiveness of the proposed method was verified using reservoir dredging examples. The simulation results show that the proposed method has broad applicability, can accurately evaluate the related dredging performance issues, and provide directions for construction managers to improve labor productivity.

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Section: Solution Using the Dea Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Combining Novel Integration and the DEA Technique to Compute Dredging Productivity

Lai¹,

Hsieh²

2023

Preprint

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“…Este enfoque, junto con otras medidas de productividad, permite evaluar la eficiencia y la efectividad de los recursos utilizados en la producción de servicios de atención médica. Además, se han realizado diversas investigaciones las cuales resaltan la importancia de mejorar la productividad en los servicios de salud y exploran los factores que influyen en ella (Androutsou, Kokkinos, Latsou & Geitona, 2022;Li & Li, 2023;Yaghoubi, Salimi & Meskarpour-Amiri, 2022). Estas investigaciones proporcionan enfoques y herramientas que permiten una mejor comprensión de la productividad en el sector de la salud y su impacto en la eficiencia y calidad de los servicios.…”

Section: Medición De La Productividadunclassified

Estado del arte: productividad como concepto en el ámbito de la salud

Arbaiza Fermini,

Morales Ospina,

Toledo Bernal

2023

Revista Económicas CUC

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Este artículo proporciona un análisis exhaustivo de la productividad aplicada en el sector de la salud, desde una perspectiva histórica y conceptual hasta las tendencias actuales. El objetivo principal es explorar la relación entre la productividad y el desempeño de las instituciones de salud, destacando su importancia en la gestión de los gerentes de salud. A través de un enfoque integral, se examinan diversas perspectivas que permiten a los gerentes de salud comprender la relevancia e impacto de la productividad en la gestión sostenible y la calidad de los servicios de salud. El estudio se llevó a cabo mediante un análisis documental que abarcó investigaciones relevantes en el campo de la productividad en salud. Se identificaron diferentes enfoques y metodologías utilizados para medir y evaluar la productividad en el sector. Los hallazgos destacan la necesidad de considerar múltiples factores, como la eficiencia de los recursos, la calidad del servicio y los resultados en salud, al evaluar la productividad en las instituciones de salud. En conclusión, se destaca que la productividad en el sector de la salud desempeña un papel fundamental en la gestión efectiva de los servicios de salud. Los gerentes de salud deben tener en cuenta estos aspectos para garantizar la sostenibilidad y la calidad de los servicios prestados. Este artículo proporciona una visión integral del tema y ofrece información relevante para los profesionales de la salud interesados en mejorar la gestión y el desempeño de las instituciones de salud.

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“…Some studies have reported that COVID-19 has affected the efficiency and reduced the revenues of government hospitals [ 21 – 23 ]. But few results have also been reported that hospitals responded to the pressure during the pandemic, by increasing their efficiency and productivity [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

Efficiency of hospitals in COVID-19 era: a case study of an affected country

Hamdollahzadeh,

Nabilou,

Yusefzadeh

2024

Cost Eff Resour Alloc

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Background The COVID-19 pandemic has affected all aspects of human life and society and has damaged the global economy. Health systems and hospitals were not exempted from this situation. The performance of hospitals during the COVID-19 pandemic was affected by policies related to the pandemic and other factors. This study aimed to investigate hospital performance indicators such as admissions and revenue. Methods The medical records of patients with selected orthopedic and general surgical diseases were studied in two government hospitals in the capital city of Urmia in the second quarter of 2019, with the same period in 2020. Data were extracted based on the number of medical records, including length of stay, hospitalization type, sex, age, insurance, number of deaths, and readmissions from the medical records department. Payment amounts were collected from the revenue department and Hospital Information System. Two performance indicators, two result indicators, and two control indicators were used. Mean disease-specific revenue, total revenue, length of stay, and bed occupancy rate were calculated for both periods. Data were analyzed using SPSS (version 16) and the Mann-Whitney statistical test. Results 2140 cases were studied in the two disease groups. An increase was observed in the number of hospitalizations and average length of stay during the pandemic. The mean disease-specific revenue in the quarter of 2020 was higher than in 2019. However, total revenue decreased, and the difference in the mean of total revenue was significant for the two years (P = 0.00) in teaching center. The number of readmissions remained unchanged throughout in the pandemic. The number of deaths due to general surgery diseases in 2020 compared to the same period in 2019 was associated with a relative increase. Conclusions The COVID-19 pandemic increased the slope of health care costs. The analysis of the studied variables as performance, result, and control indicators showed that hospitalization rate, bed occupancy rate, and total revenue followed a similar and decreasing pattern in the selected hospitals during the COVID-19 pandemic. Hospitals should adopt appropriate strategies so that, in conditions identical to the COVID-19 pandemic, their performance is accompanied by proper management of resources, efficiency, and minimal reduction in revenue.

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

Cited by 6 publications

References 76 publications

Combining Novel Integration and the DEA Technique to Compute Dredging Productivity

Combining Novel Integration and the DEA Technique to Compute Dredging Productivity

Estado del arte: productividad como concepto en el ámbito de la salud

Efficiency of hospitals in COVID-19 era: a case study of an affected country

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