Evidence map›Paper›PMID 41823982›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2026

Estimating Changes in Facility Methicillin-Resistant Staphylococcus aureus (MRSA) Infection Rates Due to Changes in MRSA Precaution Policy.

Karim Khader, Candace Haroldsen, Vanessa Stevens, Lindsay Visnovsky, Martin Evans, Loretta Simbartl, Brian McCauley, Matthew Samore, Michael Rubin

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

Karim KhaderInformatics, Decision Enhancement, and Analytical Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.ORCID 0000-0002-7206-8077
Candace HaroldsenInformatics, Decision Enhancement, and Analytical Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.ORCID 0009-0003-5217-8257
Vanessa StevensInformatics, Decision Enhancement, and Analytical Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.ORCID 0000-0001-8933-5453
Lindsay VisnovskyInformatics, Decision Enhancement, and Analytical Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.ORCID 0000-0002-6503-328X
Martin EvansNational Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, District of Columbia, USA.
Loretta SimbartlNational Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, District of Columbia, USA.
Brian McCauleyNational Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, District of Columbia, USA.
Matthew SamoreInformatics, Decision Enhancement, and Analytical Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.
Michael RubinInformatics, Decision Enhancement, and Analytical Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.ORCID 0000-0002-2900-5548

Funding

Centers for Disease Control and Prevention's Epicenter 5U54CK000602-05NCEZID CDC HHS U54 CK000602VA Salt Lake City Health Care System
6 · The paper itself

Abstract

backgroundThe effectiveness of contact precautions (CP) and active surveillance (AS) for preventing methicillin-resistant Staphylococcus aureus (MRSA) in acute care remains uncertain. Some studies suggest CP reduces MRSA spread, while others report limited benefit. The COVID-19 pandemic disrupted MRSA prevention practices in the VA, creating an opportunity to assess their impact on MRSA healthcare-associated infections (HAIs).

methodsWe studied 121 VA acute care hospitals from July 2020-June 2022. Facility practices (AS, CP for colonized [CPC], CP for infected [CPI]) were assessed via national surveys. Patient-level data identified MRSA HAIs (incident cultures ≥3 days postadmission). Secondary outcomes included sterile-site infections and 30-day postdischarge cultures. Associations between practices and HAI rates were estimated using Poisson, negative binomial, and mixed-effects Poisson regression, adjusting for baseline MRSA burden, COVID-19 admissions, culturing intensity, and hospital characteristics.

resultsAmong 905 164 admissions, 1708 incident MRSA cultures were identified. Many facilities suspended at least one prevention practice early in the pandemic, though most later reinstated them. In simpler models, discontinuation of AS, CPC, or CPI was associated with higher MRSA rates, but these associations were attenuated after adjustment for baseline burden. Mixed-effects models found no significant associations, and results were consistent across secondary outcomes.

conclusionsDiscontinuation of MRSA prevention practices during the pandemic was not consistently linked to increased HAIs after accounting for baseline burden. Findings emphasize the role of facility-specific factors and modeling assumptions in evaluating infection control. Unmeasured pandemic-related practices (eg, masking, PPE use) likely also influenced transmission, highlighting the need for flexible, context-sensitive, evidence-based infection prevention policies.

Indexed as

Cross InfectionInfection ControlMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsCOVID-19FemaleHospitals, VeteransHumansMaleUnited Statescontact precautionshospital epidemiologyinfection controlMRSA prevention

Identifiers

PMID41823982
PMCPMC13393110

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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.