Evidence map›Paper›PMID 34660215›Full record

ArticleQatar medical journal2021

Q-DEPICT: Qatar Determining Emergency Physician Incidence of COVID-Positive Testing.

Shada A Kodumayil, Ashid Kodumayil, Sarah A Thomas, Sameer A Pathan, Zain A Bhutta, Isma Qureshi, Aftab Azad, Tim R Harris, Stephen H Thomas

Abstract read
In one paragraph

Article in Qatar medical journal, 2021. 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

9 authors.

Shada A KodumayilA-level candidate, Doha College, Doha, Qatar.
Ashid KodumayilDepartment of Emergency Medicine, Hamad General Hospital, Doha 3050, Qatar E-mail: ZBhutta@hamad.qa.
Sarah A ThomasBSc Candidate in Medical Biosciences, Faculty of Medicine, Imperial College London, UK.
Sameer A Pathan
Zain A Bhutta
Isma QureshiDepartment of Emergency Medicine, Hamad General Hospital, Doha 3050, Qatar E-mail: ZBhutta@hamad.qa.
Aftab AzadDepartment of Emergency Medicine, Hamad General Hospital, Doha 3050, Qatar E-mail: ZBhutta@hamad.qa.
Tim R HarrisDepartment of Emergency Medicine, Hamad General Hospital, Doha 3050, Qatar E-mail: ZBhutta@hamad.qa.
Stephen H ThomasDepartment of Emergency Medicine, Hamad General Hospital, Doha 3050, Qatar E-mail: ZBhutta@hamad.qa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite protective measures such as personal protective equipment (PPE) and a COVID airway management program (CAMP), some emergency physicians will inevitably test positive for COVID. We aim to develop a model predicting weekly numbers of emergency physician COVID converters to aid operations planning. The data were obtained from the electronic medical record (EMR) used throughout the national healthcare system. Hamad Medical Corporation's internal emergency medicine workforce data were used as a source of information on emergency physician COVID conversion and numbers of emergency physicians completing CAMP training. The study period included the spring and summer months of 2020 and started on March 7 and ran for 21 whole weeks through July 31. Data were extracted from the system's EMR database into a spreadsheet (Excel, Microsoft, Redmond, USA). The statistical software used for all analyses and plots was Stata (version 16.1 MP, StataCorp, College Station, USA). All data definitions were made

Indexed as

COVID-19emergency medicinePrediction modelQatarTesting

Identifiers

PMID34660215
PMCPMC8501270

What OpenQuestion holds

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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.