Evidence map›Paper›PMID 41423879›Full record

Observational studyInfection control and hospital epidemiology2026

Healthcare worker long-sleeved attire contamination: a prospective observational study.

Maria F Sanes Guevara, Michaela C Barry, Nathan C Clemons, Marissa P Griffith, Kady Waggle, Lee H Harrison, Lora Lee Pless, Ashley M Ayres, Graham M Snyder

Abstract readObservational Study
In one paragraph

Observational study in Infection control and hospital epidemiology, 2026. 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

9 authors.

Maria F Sanes GuevaraDepartment of Medicine, UPMC Presbyterian, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0003-4046-9594
Michaela C BarryDivision of Infectious Diseases, Department of Medicine, Boston Medical Center, Boston, MA, USA.
Nathan C ClemonsDivision of Clinical Microbiology, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID https://orcid.org/0009-0004-1836-1282
Marissa P GriffithDivision of Infectious Diseases, Department of Medicine, https://ror.org/04ehecz88University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Kady WaggleDivision of Infectious Diseases, Department of Medicine, https://ror.org/04ehecz88University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Lee H HarrisonDivision of Infectious Diseases, Department of Medicine, https://ror.org/04ehecz88University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Lora Lee PlessDivision of Infectious Diseases, Department of Medicine, https://ror.org/04ehecz88University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Ashley M AyresDepartment of Infection Prevention and Control, https://ror.org/04ehecz88UPMC Presbyterian Shadyside, Pittsburgh, PA, USA.
Graham M SnyderDivision of Infectious Diseases, Department of Medicine, https://ror.org/04ehecz88University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0001-5562-8880

Funding

Enhanced Detection System for Healthcare-Associated Transmission of InfectionR01AI127472 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRISON, LEE H · 2016 to 2025
$7.6M
NIAID NIH HHS R01 AI127472
6 · The paper itself

Abstract

objectiveEstimate bacterial pathogen contamination of healthcare workers' (HCW) long-sleeved attire.

designProspective observational study.

settingTertiary care hospital.

participantsHCWs wearing long-sleeved attire providing direct inpatient care.

interventionSampling of both sleeves of HCWs wearing long-sleeved attire was performed using a swab and cultured for aerobic bacterial growth classified as potential pathogens or presumptive skin commensals. Potential predictors of sleeve contamination, including participant survey responses related to attire and infection prevention practices, were analyzed using univariate analyses. Whole genome sequencing compared isolates to a genomic surveillance database of patient clinical isolates.

resultsAmong 280 samples, 81.1% (n = 227) demonstrated any bacterial growth and 20.7% (n = 58) grew ≥1 potential pathogen. Speciated organisms included alpha-hemolytic streptococci (n = 28),

conclusionsHCW long sleeve contamination occurs frequently, including with potential pathogens. Changing trends in attire type may have an impact on bacterial transmissibility. While this study could not infer transmission events associated with clinically diagnosed patient infections, the potential benefit of a "bare below the elbows" attire policy warrants further investigation.

Indexed as

Equipment ContaminationHealth PersonnelProtective ClothingAdultBacteriaCross InfectionFemaleHumansMaleMiddle AgedProspective StudiesTertiary Care CentersWhole Genome Sequencing

Identifiers

PMID41423879
PMCPMC12932925

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.