Evidence map›Paper›PMID 40736639›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2026

Unravelling heterogeneity in efficiency measurements: a case study of public hospitals in Spain.

Marta Arbelo-Pérez, Violeta De Vera, Antonio Arbelo

Abstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2026. 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.

Marta Arbelo-PérezGrupo de Investigación EFIVENCOM, Departamento de Dirección de Empresas, Instituto Universitario de la Empresa (IUDE), Universidad de La Laguna (ULL), Campus de Guajara, San Cristóbal de La Laguna, Tenerife, 38071, Spain.ORCID http://orcid.org/0000-0003-2347-4295
Violeta De VeraGrupo de Investigación EFIVENCOM, Departamento de Dirección de Empresas, Instituto Universitario de la Empresa (IUDE), Universidad de La Laguna (ULL), Campus de Guajara, San Cristóbal de La Laguna, Tenerife, 38071, Spain. vveramar@ull.edu.es.ORCID http://orcid.org/0000-0001-7193-8934
Antonio ArbeloGrupo de Investigación EFIVENCOM, Departamento de Dirección de Empresas, Instituto Universitario de la Empresa (IUDE), Universidad de La Laguna (ULL), Campus de Guajara, San Cristóbal de La Laguna, Tenerife, 38071, Spain.ORCID http://orcid.org/0000-0002-2656-4061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding efficiency in the hospital setting is now recognized as a fundamental pillar for making informed decisions and is crucial to ensuring the sustainability of health care systems. However, a significant portion of the literature assessing efficiency in the hospital sector tends to overlook heterogeneity across hospitals, leading to a notable bias in inefficiency estimation. In this paper, a stochastic frontier Bayesian model with random coefficients was used to estimate cost efficiency in the hospital sector, assuming heterogeneity across hospitals. The sample included 278 public hospitals in Spain during the period 2016-2019. The results revealed that public hospitals in Spain operate at a medium level of cost inefficiency of 12.86%, with this inefficiency being overestimated by 9.2% points if heterogeneity across hospitals is not adequately considered. This result underscores the importance of incorporating heterogeneity across hospitals in the evaluation of hospital efficiency to obtain accurate and reliable estimates.

Indexed as

Efficiency, OrganizationalHospitals, PublicBayes TheoremHumansSpainBayesian methodsHospital efficiency analysisHospital heterogeneityPublic healthcareStochastic frontier analysis (SFA)

Identifiers

PMID40736639
PMCPMC13046592

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.