Evidence map›Paper›PMID 23563641›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2014

The effect of quality and socio-demographic variables on efficiency measures in primary health care.

José Manuel Cordero Ferrera, Eva Crespo Cebada, Luis R Murillo Zamorano

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  7. Successes, weaknesses, and recommendations to strengthen primary health care: a scoping review.Archives of public health = Archives belges de sante publique · 2023
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  14. Defining the Optimal Size of Medical Laboratories at the Primary Level of Health Care with Data Envelopment Analysis: Defining the Efficiency of Medical Laboratories.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2019
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

José Manuel Cordero FerreraDepartment of Economics, University of Extremadura, Av. Elvas s/n, 06071, Badajoz, Spain, jmcordero@unex.es.
Eva Crespo Cebada
Luis R Murillo Zamorano

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper aims to extend the literature on measuring efficiency in primary health care by considering the influence of quality indicators and environmental variables conjointly in a case study. In particular, environmental variables are represented by patients' characteristics and quality indicators are based on technical aspects. In order to deal with both aspects, different extensions of data envelopment analysis (DEA) methodology are applied. Specifically, we use weight restrictions to ensure that the efficiency scores assigned to the evaluated units take quality data into account, and a four-stage model to identify which exogenous variables have impact on performance as well as to compute efficiency scores that incorporate this information explicitly. The results provide evidence in support of the importance of including information about both aspects in the analysis so that the efficiency measures obtained can be interpreted as an accurate reflection of performance.

Indexed as

Efficiency, OrganizationalEnvironmentHumansPrimary Health CareQuality Indicators, Health CareQuality of Health CareSocioeconomic Factors

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Registered trials

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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.