Evidence map›Paper›PMID 35790966›Full record

ArticleBMC health services research2022

A study of the evacuation and allocation of hospital beds during the Covid-19 epidemic: a case study in Iran.

F Soroush, B Nabilou, A Faramarzi, H Yusefzadeh

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Spatial equity and factors associated with intensive care unit bed allocation in China.Archives of public health = Archives belges de sante publique · 2024
    Article
  3. Article
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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

4 authors at 2 institutions in 1 country.

F SoroushDepartment of Health Economics and Management, School of Public Health, Urmia University of Medical Sciences, Sero Street, Nazlou Paradice, Urmia, Iran.
B NabilouDepartment of Health Economics and Management, School of Public Health, Urmia University of Medical Sciences, Sero Street, Nazlou Paradice, Urmia, Iran.
A FaramarziDepartment of Health Economics and Management, School of Public Health, Urmia University of Medical Sciences, Sero Street, Nazlou Paradice, Urmia, Iran.
H YusefzadehDepartment of Health Economics and Management, School of Public Health, Urmia University of Medical Sciences, Sero Street, Nazlou Paradice, Urmia, Iran. yusefzadeh.h@umsu.ac.ir.
Urmia University · IRUrmia University of Medical Sciences

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShortage of resources, such as hospital beds, needed for health care especially in times of crisis can be a serious challenge for many countries. Currently, there is no suitable model for optimal allocation of beds in different hospital wards. The Data Envelopment Analysis method (DEA) has been used in the present study to examine the evacuation and allocation of hospital beds during the covid-19 pandemic in order to contribute to effective planning for fighting the spread the covid-19 virus.

methodsThe present study was conducted in two stages in hospitals affiliated with Urmia University of Medical Sciences (UUMS) in 2021. First, the number of excess beds was determined by calculating the technical efficiency using the DEA method and Deap

resultsThe results of the study show that the average technical efficiency of the studied hospitals was 0.603. These hospitals did not operate efficiently in 2021 and their current output can be produced with less than 61% of the used input. Also, the potential of these hospitals, over a period of 1 year, for the evacuation of beds and reallocation of them to covid-19 patients was calculated to be 1781 beds, 450 of which belonged to general wards and 1331 belonged to specialized wards.

conclusionsThe DEA method can be used in the allocation of resources in hospitals. Depending on the type of hospital wards and the health condition of patients, this method can help policy-makers identify hospitals with the best potential but less emergency services for the purpose of reallocation of resources, which can help reduce the severe effects of crises on health resources.

Indexed as

COVID-19Equipment and Supplies, HospitalHospitalsHumansIranPandemicsCovid-19EpidemicsHospital bed capacityInpatientsLinear programmingResource allocation

Identifiers

PMID35790966
PMCPMC9254655
OpenAlexW4283817694

What OpenQuestion holds

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LicenceCC BY
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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.