Evidence map›Paper›PMID 38643000›Full record

ArticleBMJ open2024

Community antibiotic prescribing in patients with COVID-19 across three pandemic waves: a population-based study in Scotland, UK.

Laura Ciaccio, Peter T Donnan, Benjamin J Parcell, Charis A Marwick

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2024. 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, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 2 institutions in 1 country.

Laura CiaccioDivision of Population Health and Genomics, University of Dundee School of Medicine, Dundee, UK 2438067@dundee.ac.uk.ORCID 0000-0002-9961-3151
Peter T DonnanDivision of Population Health and Genomics, University of Dundee School of Medicine, Dundee, UK.
Benjamin J ParcellDepartment of Medical Microbiology, Ninewells Hospital and Medical School, Dundee, UK.
Charis A MarwickDivision of Population Health and Genomics, University of Dundee School of Medicine, Dundee, UK.
University of Dundee · GBNinewells Hospital · GB

Funding

Medical Research Council
6 · The paper itself

Abstract

objectivesThis study aims to examine community antibiotic prescribing across a complete geographical area for people with a positive COVID-19 test across three pandemic waves, and to examine health and demographic factors associated with antibiotic prescribing.

designA population-based study using administrative data.

settingA complete geographical region within Scotland, UK.

participantsResidents of two National Health Service Scotland health boards with SARS-CoV-2 virus test results from 1 February 2020 to 31 March 2022 (n=184 954). Individuals with a positive test result (n=16 025) had data linked to prescription and hospital admission data ±28 days of the test, general practice data for high-risk comorbidities and demographic data. OUTCOME MEASURES: The associations between patient factors and the odds of antibiotic prescription in COVID-19 episodes across three pandemic waves from multivariate binary logistic regression.

resultsData included 768 206 tests for 184 954 individuals, identifying 16 240 COVID-19 episodes involving 16 025 individuals. There were 3263 antibiotic prescriptions ±28 days for 2395 episodes. 35.6% of episodes had a prescription only before the test date, 52.3% of episodes after and 12.1% before and after. Antibiotic prescribing reduced over time: 20.4% of episodes in wave 1, 17.7% in wave 2 and 12.0% in wave 3. In multivariate logistic regression, being female (OR 1.31, 95% CI 1.19 to 1.45), older (OR 3.02, 95% CI 2.50 to 3.68 75+ vs <25 years), having a high-risk comorbidity (OR 1.45, 95% CI 1.31 to 1.61), a hospital admission ±28 days of an episode (OR 1.58, 95% CI 1.42 to 1.77) and health board region (OR 1.14, 95% CI 1.03 to 1.25, board B vs A) increased the odds of receiving an antibiotic.

conclusionCommunity antibiotic prescriptions in COVID-19 episodes were uncommon in this population and likelihood was associated with patient factors. The reduction over pandemic waves may represent increased knowledge regarding COVID-19 treatment and/or evolving symptomatology.

Indexed as

COVID-19Anti-Bacterial AgentsCOVID-19 Drug TreatmentFemaleHumansMalePandemicsSARS-CoV-2ScotlandState MedicineAnti-Bacterial AgentsCOVID-19INFECTIOUS DISEASESPublic health

Identifiers

PMID38643000
PMCPMC11033633
OpenAlexW4394980218

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.