Evidence map›Paper›PMID 38362115›Full record

ArticleJournal of infection prevention2024

Efficacy of facemasks in preventing transmission of COVID-19 in non-healthcare settings: A scoping review.

Chloe Enright, Claire Gilbourne, Rachel Kiersey, Randal Parlour, Paula Flanagan, Emer McGowan, Mairin Boland, Deirdre Mulholland

Abstract readScoping Review
In one paragraph

Article in Journal of infection prevention, 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
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

8 authors.

Chloe EnrightHSE, Dublin, Ireland.ORCID https://orcid.org/0000-0002-9323-8434
Claire GilbourneHSE, Dublin, Ireland.
Rachel KierseyHSE, Dublin, Ireland.ORCID https://orcid.org/0000-0001-6541-6734
Randal ParlourHSE, Dublin, Ireland.
Paula FlanaganHSE, Dublin, Ireland.
Emer McGowanHSE, Dublin, Ireland.
Mairin BolandHSE, Dublin, Ireland.
Deirdre MulhollandHSE, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During the COVID-19 pandemic, an abundance of literature relating to the efficacy of face masks on reducing transmission of COVID-19 in non-healthcare settings emerged. Aim/objective: The aim of this scoping review was to allow the identification of: types of evidence conducted in this area; knowledge gaps and common concepts relating to mask efficacy in non-healthcare settings. Methods: A comprehensive literature search was conducted in PubMed, CINAHL, MEDLINE, Embase and the Irish Management Institute bibliographic database on December 15th, 2021. All types of face masks were included. Of 722 records, 16 were included after full text screening. Findings/results: Themes from an adapted model of Howard et al. framework were used to group results and identify common concepts. The grouped thematic results were then applied to the socio-ecological model. This illustrated the multifactorial elements determining the efficacy of masks themselves while also illustrating how other factors such as individual behaviours, social interactions, settings and national policy can influence the degree of the protective effect. Discussion: The findings from this scoping review indicate that an abundance of experimental literature is available indicating that masks are effective at preventing COVID-19 transmission but their degree of efficacy is impacted by external factors. This review highlights that the quality of the evidence available is low.

Indexed as

COVID-19 3efficacy 2Facemask 1mask 5non-healthcare 6non-healthcare 7scoping 4transmission 8

Identifiers

PMID38362115
PMCPMC10866118

What OpenQuestion holds

Textmetadata
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.