Evidence map›Paper›PMID 34727937›Full record

ArticleCost effectiveness and resource allocation : C/E2021

Total productivity change of Health Centers in Greece in 2016-2018: a Malmquist index data envelopment analysis application for the primary health system of Greece.

Anastasios Trakakis, Miltiadis Nektarios, Styliani Tziaferi, Panagiotis Prezerakos

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Article in Cost effectiveness and resource allocation : C/E, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Anastasios TrakakisFaculty of Health Sciences, University of Peloponnese, Tripoli, Greece. anast.trak@gmail.com.ORCID http://orcid.org/0000-0001-7285-5209
Miltiadis NektariosFaculty of Finance and Statistics, University of Piraeus, Piraeus, Greece.
Styliani TziaferiFaculty of Health Sciences, University of Peloponnese, Tripoli, Greece.
Panagiotis PrezerakosFaculty of Health Sciences, University of Peloponnese, Tripoli, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis paper attempts to evaluate the primary health care system by evaluating health centres in Greece.

methodsMalmquist Index Data Envelopment Analysis is applied to study the total productivity of 155 health centres in Greece during 2016-2018. The data were collected from the Ministry of Health and submitted to quality tests to ensure validity and avoid bias.

resultsThis paper measures the productivity of each of the 155 health centres in Greece and how it shifted during 2016-2018. In addition, the overall productivity change of the 155 health centres over time is calculated and analysed as being due to technical efficiency or technological efficiency. The analysis of the mean values showed a decrease of 0.9% in the overall productivity factor from 2016 to 2017 and a decrease of 5.2% from 2017 to 2018. The overall decrease in the productivity of the 155 health centres was 3.1%. From 2016 to 2018, 59 health centres changed their productivity mainly due to technological change and 91 changed mainly due to technical efficiency change. One health centre showed regression to its total productivity due to equal regression of its technical efficiency and technology.

conclusionsThe method used is nonparametric data envelopment analysis along with the Malmquist index to include panel data in the analysis. Meaningful results were extracted by indicating the number of health centres that improved their productivity, regressed in productivity, or remained constant through the period 2016-2018. This paper may contribute to improving health centres' efficiency and productivity. Furthermore, valuable results can be extracted for the National Health Care System to match available resources that correspond to each health centre's needs, as well as for manager planners and stakeholders in primary health care.

Indexed as

Data envelopment analysisHealth Centre’s Total ProductivityInternal and External ValidityMalmquist productivity indexPrimary Health Care

Identifiers

PMID34727937
PMCPMC8561945

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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.