Evidence map›Paper›PMID 38404133›Full record

ArticleInfection control and hospital epidemiology2024

Modeling relaxed policies for discontinuation of methicillin-resistant

Jiaming Cui, Jack Heavey, Leo Lin, Eili Y Klein, Gregory R Madden, Costi D Sifri, Bryan Lewis, Anil K Vullikanti, B Aditya Prakash

Abstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Jiaming CuiCollege of Computing, Georgia Institute of Technology, Atlanta, Georgia.ORCID 0000-0002-2685-2776
Jack HeaveyDepartment of Computer Science, University of Virginia, Charlottesville, Virginia.
Leo LinDepartment of Computer Science, University of Virginia, Charlottesville, Virginia.
Eili Y KleinCenter for Disease Dynamics, Economics & Policy, Washington, DC.ORCID 0000-0002-1304-5289
Gregory R MaddenDivision of Infectious Diseases & International Health, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia.ORCID 0000-0002-5951-3156
Costi D SifriDivision of Infectious Diseases & International Health, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia.ORCID 0000-0001-6033-2515
Bryan LewisBiocomplexity Institute, University of Virginia, Charlottesville, Virginia.
Anil K VullikantiDepartment of Computer Science, University of Virginia, Charlottesville, Virginia.
B Aditya PrakashCollege of Computing, Georgia Institute of Technology, Atlanta, Georgia.ORCID 0000-0002-3252-455X

Funding

The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve HealthUL1TR003015 · NCATS · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, JOHNSTON, KAREN C. · 2019 to 2023
$20.3M
Institutional Career Development CoreKL2TR003016 · NCATS · UNIVERSITY OF VIRGINIA · PI PAPIN, JASON, WORRALL, BRADFORD B · 2019 to 2023
$3.9M
Immune profiling to stratify Clostridioides difficile infection outcomesK23AI163368 · NIAID · UNIVERSITY OF VIRGINIA · PI MADDEN, GREGORY RUSSELL · 2021 to 2025
$961k
NCATS NIH HHS KL2 TR003016NCATS NIH HHS UL1 TR003015NCEZID CDC HHS U01 CK000589NIAID NIH HHS K23 AI163368
6 · The paper itself

Abstract

objectiveTo evaluate the economic costs of reducing the University of Virginia Hospital's present "3-negative" policy, which continues methicillin-resistant

designCost-effective analysis. SETTINGS: The University of Virginia Hospital. PATIENTS: The study included data from 41,216 patients from 2015 to 2019.

methodsWe developed a model for MRSA transmission in the University of Virginia Hospital, accounting for both environmental contamination and interactions between patients and providers, which were derived from electronic health record (EHR) data. The model was fit to MRSA incidence over the study period under the current 3-negative clearance policy. A counterfactual simulation was used to estimate outcomes and costs for 2- and 1-negative policies compared with the current 3-negative policy.

resultsOur findings suggest that 2-negative and 1-negative policies would have led to 6 (95% CI, -30 to 44;

conclusionsA single negative MRSA nares PCR test may provide sufficient evidence to discontinue MRSA contact precautions, and it may be the most cost-effective option.

Indexed as

Cost-Benefit AnalysisCross InfectionInfection ControlMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsHospitals, UniversityHumansOrganizational PolicyVirginia

Identifiers

PMID38404133
PMCPMC11439595

What OpenQuestion holds

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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.