Evidence map›Paper›PMID 28431853›Full record

Observational studyAmerican journal of infection control2017

Transmission of methicillin-resistant Staphylococcus aureus to health care worker gowns and gloves during care of residents in Veterans Affairs nursing homes.

Lisa Pineles, Daniel J Morgan, Alison Lydecker, J Kristie Johnson, John D Sorkin, Patricia Langenberg, Natalia Blanco, Alan Lesse, John Sellick, Kalpana Gupta and 4 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in American journal of infection control, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01350479 (Gown and Glove Use to Prevent the Spread of Infection in VA Community Living Centers), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.1field-weighted citation impact, top 8% 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.

NCT01350479 completednot on this map

Gown and Glove Use to Prevent the Spread of Infection in VA Community Living Centers

TypeobservationalSponsorVA Office of Research and DevelopmentRan2012 to 2016Enrolled203ConditionsMethicillin-Resistant Staphylococcus Aureus
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 36 citations in OpenAlex.

  1. Methicillin-resistant Staphylococcus aureus.Nature reviews. Disease primers · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Molecular concordance of methicillin-resistantInfection control and hospital epidemiology · 2023
    Article
  8. Article
  9. Targeted gown and glove use to preventInfection control and hospital epidemiology · 2021
    Article
  10. Presence of Methicillin-ResistantTropical medicine and infectious disease · 2021
    Review
  11. Observational
  12. Article
  13. Lessons learned - Outbreaks of COVID-19 in nursing homes.American journal of infection control · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Observational
  20. Clostridium difficile Colonization of Nursing Home Residents.Infection control and hospital epidemiology · 2017
    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

14 authors at 6 institutions in 1 country.

Lisa PinelesVeterans Affairs Maryland Health Care System, Baltimore, MD; University of Maryland School of Medicine, Baltimore, MD.
Daniel J MorganVeterans Affairs Maryland Health Care System, Baltimore, MD; University of Maryland School of Medicine, Baltimore, MD.
Alison LydeckerVeterans Affairs Maryland Health Care System, Baltimore, MD; University of Maryland School of Medicine, Baltimore, MD.
J Kristie JohnsonVeterans Affairs Maryland Health Care System, Baltimore, MD; University of Maryland School of Medicine, Baltimore, MD.
John D SorkinVeterans Affairs Maryland Health Care System, Baltimore, MD; University of Maryland School of Medicine, Baltimore, MD.
Patricia LangenbergVeterans Affairs Maryland Health Care System, Baltimore, MD; University of Maryland School of Medicine, Baltimore, MD.
Natalia BlancoUniversity of Maryland School of Medicine, Baltimore, MD.
Alan LesseVeterans Affairs Western New York Health Care System, Buffalo, NY.
John SellickVeterans Affairs Western New York Health Care System, Buffalo, NY.
Kalpana GuptaVeterans Affairs Boston Health Care System, Boston, MA.
Luci LeykumSouth Texas Veterans Health Care System, San Antonio, TX; University of Texas Health Sciences Center at San Antonio, San Antonio, TX.
Jose CadenaSouth Texas Veterans Health Care System, San Antonio, TX; University of Texas Health Sciences Center at San Antonio, San Antonio, TX.
Nickie LepchaWashington DC Veterans Affairs Medical Center, Washington, DC.
Mary-Claire RoghmannVeterans Affairs Maryland Health Care System, Baltimore, MD; University of Maryland School of Medicine, Baltimore, MD. Electronic address: mroghman@epi.umaryland.edu.
VA Maryland Health Care System · USUniversity of Maryland, Baltimore · USVA Western New York Healthcare System · USSouth Texas Veterans Health Care System · USThe University of Texas Health Science Center at San Antonio · USVA Boston Healthcare System · US

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI Stephen L. Seliger · 2006 to 2026
$28.9M
Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D, TAYLOR, SIMEON I. · 2005 to 2019
$17.3M
Gown and Glove Use to Prevent the Spread of Infection in VA Community Living CentI01HX000485 · VA · BALTIMORE VA MEDICAL CENTER · PI ROGHMANN, MARY-CLAIRE · 2013 to 2013
–
HSRD VA I01 HX000485NIA NIH HHS P30 AG028747NIDDK NIH HHS P30 DK072488
6 · The paper itself

Abstract

backgroundThis was an observational study designed to estimate the frequency of methicillin-resistant Staphylococcus aureus (MRSA) transmission to gowns and gloves worn by health care workers (HCWs) interacting with Veterans Affairs Community Living Center (VA nursing home) residents to inform MRSA prevention policies.

methodsParticipants included residents and HCWs from 7 VA nursing homes in 4 states and Washington, DC. Residents were cultured for MRSA at the anterior nares, perianal skin, and wound (if present). HCWs wore gowns and gloves during usual care activities. After each activity, a research coordinator swabbed the HCW's gown and gloves. Swabs were cultured for MRSA.

resultsThere were 200 residents enrolled; 94 (46%) were MRSA colonized. Glove contamination was higher than gown contamination (20% vs 11%, respectively; P < .01). Transmission varied greatly by type of care from 0%-19% for gowns and 7%-37% for gloves. High-risk care activities (odds ratio [OR] > 1.0, P < .05) for gown contamination included changing dressings (eg, wound), dressing, providing hygiene (eg, brushing teeth), and bathing. Low-risk care activities (OR < 1.0, P < .05 or no transmission) for gown contamination included glucose monitoring, giving medications, and feeding.

conclusionsMRSA transmission from colonized residents to gloves was higher than transmission to gowns. Transmission to gloves varies by type of care, but all care had a risk of contamination, demonstrating the importance of hand hygiene after all care. Transmission to gowns was significantly higher with certain types of care. Optimizing gown and glove use by targeting high-risk care activities could improve resident-centered care for MRSA-colonized residents by promoting a home-like environment.

Indexed as

VeteransAgedAged, 80 and overCross InfectionFemaleHealth PersonnelHumansInfection ControlInfectious Disease Transmission, Patient-to-ProfessionalIntensive Care UnitsMaleMethicillin-Resistant Staphylococcus aureusMiddle AgedNursing HomesProspective StudiesProtective ClothingMRSANursing homeTransmission

Identifiers

PMID28431853
PMCPMC6453115
OpenAlexW2605741283

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.