Evidence map›Paper›PMID 23229820›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2013

How efficient are Greek hospitals? A case study using a double bootstrap DEA approach.

Kostas Kounetas, Fotis Papathanassopoulos

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Efficiency of Human Resources in Public Hospitals: An Example from the Czech Republic.International journal of environmental research and public health · 2021
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  16. Efficiency and productivity of health systems in prevention and control of non-communicable diseases in China, 2008-2015.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Kostas KounetasDepartment of Economics, University of Patras, University Campus Rio, 26504, Patras, Greece, Kounetas@upatras.gr.
Fotis Papathanassopoulos

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to measure Greek hospital performance using different input-output combinations, and to identify the factors that influence their efficiency thus providing policy makers with valuable input for the decision-making process. Using a unique dataset, we estimated the productive efficiency of each hospital through a bootstrapped data envelopment analysis (DEA) approach. In a second stage, we explored, using a bootstrapped truncated regression, the impact of environmental factors on hospitals' technical and scale efficiency. Our results reveal that over 80% of the examined hospitals appear to have a technical efficiency lower than 0.8, while the majority appear to be scale efficient. Moreover, efficiency performance differed with inclusion of medical examinations as an additional variable. On the other hand, bed occupancy ratio appeared to affect both technical and scale efficiency in a rather interesting way, while the adoption of advanced medical equipment and the type of hospital improves scale and technical efficiency, correspondingly. The findings of this study on Greek hospitals' performance are not encouraging. Furthermore, our results raise questions regarding the number of hospitals that should operate, and which type of hospital is more efficient. Finally, the results indicate the role of medical equipment in performance, confirming its misallocation in healthcare expenditure.

Indexed as

Efficiency, OrganizationalAge FactorsDecision MakingGreeceHospital AdministrationModels, StatisticalResidence CharacteristicsTreatment Outcome

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.