Evidence map›Paper›PMID 35885842›Full record

ReviewHealthcare (Basel, Switzerland)2022

The Core of Healthcare Efficiency: A Comprehensive Bibliometric Review on Frontier Analysis of Hospitals.

Thyago Celso Cavalcante Nepomuceno, Luca Piubello Orsini, Victor Diogho Heuer de Carvalho, Thiago Poleto, Chiara Leardini

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

5 authors.

Thyago Celso Cavalcante NepomucenoNúcleo de Tecnologia, Federal University of Pernambuco, Caruaru 55014-900, Brazil.ORCID 0000-0001-8327-6472
Luca Piubello OrsiniDipartimento di Economia Aziendale, University of Verona, Via Cantarane, 24, 37129 Verona, Italy.
Victor Diogho Heuer de CarvalhoCampus do Sertão, Federal University of Alagoas, Delmiro Gouveia 57480-000, Brazil.ORCID 0000-0003-2369-7317
Thiago PoletoDepartamento de Administração, Federal University of Pará, Belém 66075-110, Brazil.ORCID 0000-0001-7100-2319
Chiara LeardiniDipartimento di Economia Aziendale, University of Verona, Via Cantarane, 24, 37129 Verona, Italy.ORCID 0000-0003-1015-6095

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 001National Council for Scientific and Technological Development 001
6 · The paper itself

Abstract

Parametric and non-parametric frontier applications are typical for measuring the efficiency and productivity of many healthcare units. Due to the current COVID-19 pandemic, hospital efficiency is the center of academic discussions and the most desired target for many public authorities under limited resources. Investigating the state of the art of such applications and methodologies in the healthcare sector, besides uncovering strategical managerial prospects, can expand the scientific knowledge on the fundamental differences among efficiency models, variables and applications, drag research attention to the most attractive and recurrent concepts, and broaden a discussion on the specific theoretical and empirical gaps still to be addressed in future research agendas. This work offers a systematic bibliometric review to explore this complex panorama. Hospital efficiency applications from 1996 to 2022 were investigated from the Web of Science base. We selected 65 from the 203 most prominent works based on the Core Publication methodology. We provide core and general classifications according to the clinical outcome, bibliographic coupling of concepts and keywords highlighting the most relevant perspectives and literature gaps, and a comprehensive discussion of the most attractive literature and insights for building a research agenda in the field.

Indexed as

bibliometricscluster analysiscore publicationsdata envelopment analysisefficiencyfrontier modelshealthcarehospitalsproductivityreviewstochastic frontier analysis

Identifiers

PMID35885842
PMCPMC9318001

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.