Evidence map›Paper›PMID 35049716›Full record

ArticleBioengineering (Basel, Switzerland)2021

A Novel Hybrid Parametric and Non-Parametric Optimisation Model for Average Technical Efficiency Assessment in Public Hospitals during and Post-COVID-19 Pandemic.

Mirpouya Mirmozaffari, Reza Yazdani, Elham Shadkam, Seyed Mohammad Khalili, Leyla Sadat Tavassoli, Azam Boskabadi

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 3% of its field
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, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
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  8. Hospital performance evaluation models: A scoping review.Journal of education and health promotion · 2025
    Review
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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

6 authors at 5 institutions in 3 countries.

Mirpouya MirmozaffariDepartment of Industrial Engineering, Dalhousie University, 5269 Morris Street, Halifax, NS B3H 4R2, Canada.ORCID 0000-0003-2679-0488
Reza YazdaniDepartment of Accounting, Technical and Vocational University (TVU), Tehran 1345120727, Iran.
Elham ShadkamDepartment of Industrial Engineering, Faculty of Engineering, Khayyam University, Mashhad 9189747178, Iran.ORCID 0000-0003-3719-4665
Seyed Mohammad KhaliliDepartment of Industrial Engineering, Faculty of Engineering, Khayyam University, Mashhad 9189747178, Iran.ORCID 0000-0001-9626-8113
Leyla Sadat TavassoliDepartment of Industrial Manufacturing and Systems Engineering, University of Texas at Arlington, Arlington, TX 76019, USA.
Azam BoskabadiDepartment of Finance and Management Science, Carson College of Business, Washington State University, Pullman, WA 99163, USA.
Khayyam University · IRDalhousie University · CATechnical and Vocational University · IRThe University of Texas at Arlington · USWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has had a significant impact on hospitals and healthcare systems around the world. The cost of business disruption combined with lingering COVID-19 costs has placed many public hospitals on a course to insolvency. To quickly return to financial stability, hospitals should implement efficiency measure. An average technical efficiency (ATE) model made up of data envelopment analysis (DEA) and stochastic frontier analysis (

Indexed as

artificial intelligenceaverage technical efficiencyCOVID-19data envelopment analysisparametric and non-parametric modelspublic hospitals

Identifiers

PMID35049716
PMCPMC8772782
OpenAlexW4200574624

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.