Efficiency Assessment across Homogeneous Specialty Clinics in the Region of Thessaly, Greece

Geitona, Mary

doi:10.2174/1874944501306010011

Cited by 6 publications

(8 citation statements)

References 57 publications

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“…In Greece, many studies were conducted to measure the efficiency and productivity at the hospital and the clinical level by applying the DEA, with the majority of them being input oriented [ 32 , 33 , 36 , 39 , 40 , 43 , 44 , 45 , 47 , 48 , 49 , 50 , 79 , 80 , 81 , 82 , 83 ]. Only the studies of Androutsou, et al, in 2011 [ 42 ] and Geitona, et al, in 2013 [ 50 ] were output-oriented, comparing the homogeneous and heterogeneous hospital clinics.…”

Section: Discussionmentioning

confidence: 99%

“…Studies in efficiency measurement, using parametric or non-parametric techniques in the hospital sector, have been conducted in several countries, including Greece [ 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 ]. However, the published bibliography assessing the efficiency at the clinical level by running the DEA [ 50 , 51 , 52 ], has been limited with only a single study examining the combined efficiency and productivity in Greece [ 42 ]. In early 2020, the COVID-19 pandemic was declared by the WHO, urging the need to reallocate resources and recruit personnel efficiently and productively, as one of the main measures to respond to this health system crisis.…”

Section: Introductionmentioning

confidence: 99%

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

Androutsou

Kokkinos

Latsou

et al. 2022

IJERPH

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(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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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Androutsou

Kokkinos

Latsou

et al. 2022

IJERPH

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“…DEA analysis has been widely used in other economic sectors since 1957 by Farrell (1957) as organisations have struggled to improve productivity and efficiency. DEA has a long history with lots of important publications in measuring efficiency of hospitals and clinics (Caves et al, 1982;Lovell, 1996;Cook and Seiford, 2009;Charnes et al, 1978;Färe et al, 1994;Coelli et al, 2005;Coelli and Perelman, 1996;Hollingsworth et al, 1999;Färe et al, 1989;Halkos and Tzeremes, 2010;Ancarani et al, 2009;Maniadakis et al, 2007;Androutsou et al, 2011;Staat, 2006;Geitona et al, 2013;Pulina et al, 2010;Khushalani and Ozcan, 2017;Steinmann and Zweifel, 2003;Leleu et al, 2014;Samut and Cafrı, 2016;Moran and Jacobs, 2013;Linna et al, 2006;Varabyova and Schreyögg, 2013;Medina et al, 2013).…”

Section: Methodsmentioning

confidence: 99%

Measuring the efficiency of medical tourism industry in EU member states

Androutsou

Metaxas

2019

JTA

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Purpose -Under the Directive 2011/24/EU, medical tourism and cross-border health are interrelated terms regarding the freedom to move to get the most accessible medical treatment into EU Member State within the defined procedures for reimbursement. Little known empirically regarding the efficiency of the cross-border health/medical tourism industry. This study aims to measure its efficiency in Europe for the years 2010-2014, by using Data Envelopment Analysis (DEA).Design/methodology/approach -Data obtained from OECD and the European Core Health Indicators (ECHI), which is collecting the data through Eurostat. Eurostat collects data on health-care activities and provides data on hospital discharges, including the hospital discharges of non-residents and these include hospital discharges of in-patients and day care patients. The analysis uses "DEA.P, 2.1 for windows" by Coelli (1996).Findings -The results show that the Members States health systems were very efficient in handling nonresidents in-patients; however, when managing day cases/outpatients, the efficiency scores dropped.Practical implications -The findings would have significant associations affecting intentions to revisit clinics and the destination country. In addition, will be useful to those seeking a better understanding of the cross-border health and medical tourism industry efficiency.Originality/value -Extending the findings of the European Commission report (2015c) by examining how well medical tourists are informed about the decision they are making, would be of perceived value. These are important indicators at European level by helping each Member State to measure its medical tourism services.

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“…The findings demonstrated that technical efficiency was indeed improved but, scale efficiency remained the same. Androutsou et al [7,19] measured the performance in seven homogenous specialty clinics across all National Health System hospitals in the Regional Health Authority of Thessaly, over the period 2002-2006 with Malmquist Index.…”

Section: Literature Reviewmentioning

confidence: 99%

Two-stage hospital efficiency analysis including qualitative evidence: A Greek case

Nektarios

Constantopoulos

et al. 2016

JHA

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Background: The European Union health policy agenda stresses the importance of environmental and qualitative factors in structural hospital reforms. In response to the economic crisis, both cost containment and performance improvements of the Greek hospital sector, have become a pertinent issue for overall reforms. Objective: The study examines the efficiency of 112 Greek public hospitals, by applying bootstrapping techniques and investigating the effect of contextual factors on hospital efficiency. Furthermore, the effect of qualitative evidence, on hospital efficiency is explored by focusing on a subset of 28 large hospitals. Methods: The quality aspects of the Greek hospitals are investigated by applying two models of Data Envelopment Analysis (DEA), augmented by bootstrapping techniques, in order to assess the importance of quality dimensions on the efficiency of hospital scores. In addition, two Tobit regression models are estimated assessing the contribution of contextual factors, in the efficiency and bias-corrected efficiency scores. Results: Efficiency analysis indicated that only 23.2% of the hospitals are fully efficient (0.96-1.00), 37.5% are efficient (0.71-0.95) while 39.3% are inefficient (0.30-0.70). The Kolmogorov-Smirnov test, between the original and the bootstrapcorrected efficiency, indicates that their distributions are significantly different (p-value < .001). The environmental factors, influencing efficiency, are Occupancy Rate and the ratio between Outpatient Visits and Inpatient Days. Results indicate that the inclusion of Risk-Adjustment Mortality Rate significantly influences (p-value < .05) the efficiency of the hospitals. Conclusions: In the era of economic crisis, the inclusion of quality variables and the use of bootstrapping techniques provide a vital framework in assessing the efficiency of the hospital sector.

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Efficiency Assessment across Homogeneous Specialty Clinics in the Region of Thessaly, Greece

Cited by 6 publications

References 57 publications

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

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

Measuring the efficiency of medical tourism industry in EU member states

Two-stage hospital efficiency analysis including qualitative evidence: A Greek case

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