Evidence map›Paper›PMID 40481941›Full record

ArticleHealth care management science2025

Measuring the effect of deprivation on primary health care performance using data envelopment analysis and Malmquist Indices.

Holly Bea Merelie, Carla Alexandra Filipe Amado, Sérgio Pereira Dos Santos

Abstract read
In one paragraph

Article in Health care management science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Holly Bea MerelieFaculty of Economics and Center for Advanced Studies in Management and Economics (CEFAGE), University of Algarve, Faro, Portugal.
Carla Alexandra Filipe AmadoFaculty of Economics and Center for Advanced Studies in Management and Economics (CEFAGE), University of Algarve, Faro, Portugal.ORCID http://orcid.org/0000-0001-6944-5129
Sérgio Pereira Dos SantosFaculty of Economics and Center for Advanced Studies in Management and Economics (CEFAGE), University of Algarve, Faro, Portugal. ssantos@ualg.pt.ORCID http://orcid.org/0000-0001-9811-3799

Funding

Fundação para a Ciência e a Tecnologia UIDB/04007/2020
6 · The paper itself

Abstract

Life expectancy is typically shorter in areas with higher deprivation, highlighting the need for policymakers and health care managers to focus on reducing health inequalities through efficient and effective care. This study aims to assess the impact of deprivation on primary health care performance using data from the National Health Service (NHS) in England. Two methods are applied: Data Envelopment Analysis (DEA) to evaluate the performance of 188 Clinical Commissioning Groups (CCGs), whose duties were recently taken on by the new Integrated Care Systems (ICSs), and the Malmquist Index (MI) to assess deprivation's effect on performance. The DEA results reveal significant variation among CCGs in equity, efficiency, and effectiveness, indicating substantial room for improvement. The MI results show that while CCGs in more deprived areas had more resources per capita and higher efficiency, they were generally less effective than those in less deprived areas. This emphasizes the need to enhance health and social policies to address persistent health inequalities due to deprivation, a critical challenge for the new ICSs. This study illustrates how DEA and the MI can support policymakers and managers in this effort.

Indexed as

Healthcare DisparitiesPrimary Health CareEfficiency, OrganizationalEnglandHumansState MedicineData envelopment analysisDeprivationMalmquist indexPrimary health care

Identifiers

PMID40481941
PMCPMC12535545

What OpenQuestion holds

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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.