Evidence map›Paper›PMID 36475146›Full record

ArticleCureus2022

A Perspective on Theatre Efficiency in Terms of Theatre Utilisation and Theatre Costs and the Effects of Infection Control Protocols on These During the COVID-19 Pandemic.

Ghulam Dastagir Faisal Mohammed, Zaina Mansoor, Momin Mohaddis, Prakash Chandran

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ghulam Dastagir Faisal MohammedOrthopaedic Surgery, Warrington and Halton NHS Trust, Warrington, GBR.
Zaina MansoorCardiology, Ysbyty Gwynedd, Bangor, GBR.
Momin MohaddisOrthopaedics, Warrington Hospital, Warrington, GBR.
Prakash ChandranTrauma and Orthopaedics, Warrington and Halton NHS Foundation Trust, Warrington, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim The coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on healthcare systems. Several local infection control methods were put in place, which have now evolved and continued in some form or the other. According to various research, as the time duration for distinct phases in the pathway rose, trauma theatre efficiency reduced. However, there is no literature, to our knowledge, that has explicitly looked at theatre utilisation and cost efficiency compared them and expressed theatre efficiency in these terms. The aim of this article is to study theatre efficiency in terms of utilisation and costs before and during the pandemic and understand the influence of infection control protocols on these. Materials and methods The data were collected retrospectively from the ORMIS theatre management software (iPath Softwares, Ohio), from December 2019 (pre-COVID) and December 2020 (COVID). Turnaround time, utilisation time and combined operative time were defined and compared. Costs incurred due to over-running, under-running and turnaround time were compared. Results Theatre utilization was 101% during COVID and 86.63% pre-COVID. The average cost of over-running as well as under-running a theatre list during the pandemic was significantly higher. Conclusion Optimal theatre utilisation and reduced time between cases improve theatre efficiency. Turnaround time, if reduced, can not only decrease costs but also increase efficiency.Theatre utilisation and efficiency can be maintained even with new infection control protocols, but these are not cost-efficient.

Indexed as

covid-19efficiencyoperation theatretheatre costsutilisation

Identifiers

PMID36475146
PMCPMC9718508

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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.