Evidence map›Paper›PMID 31171468›Full record

ArticleEpidemics2019

Variation and trends in transmission dynamics of Methicillin-resistant Staphylococcus aureus in veterans affairs hospitals and nursing homes.

Karim Khader, Alun Thomas, Makoto Jones, Damon Toth, Vanessa Stevens, Matthew H Samore, CDC Modeling Infectious Diseases in Healthcare Program (MInD-Healthcare)

Abstract read
In one paragraph

Article in Epidemics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Global prevalence of macrolide-resistantFrontiers in microbiology · 2025
    Pooled it
  2. Estimating Changes in Facility Methicillin-Resistant Staphylococcus aureus (MRSA) Infection Rates Due to Changes in MRSA Precaution Policy.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Transmission Dynamics of Clostridioides difficile in 2 High-Acuity Hospital Units.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    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

7 authors.

Karim KhaderInformatics, Decision Enhancement, and Analytic Sciences (IDEAS) 2.0 Center, VA Salt Lake City Health Care System, 500 Foothill Drive Bldg. 182, Salt Lake City, UT, 84148, USA; Division of Epidemiology, University of Utah School of Medicine, 295 Chipeta Way, Salt Lake City, UT, 84132, USA. Electronic address: karim.khader@hsc.utah.edu.
Alun ThomasInformatics, Decision Enhancement, and Analytic Sciences (IDEAS) 2.0 Center, VA Salt Lake City Health Care System, 500 Foothill Drive Bldg. 182, Salt Lake City, UT, 84148, USA; Division of Epidemiology, University of Utah School of Medicine, 295 Chipeta Way, Salt Lake City, UT, 84132, USA. Electronic address: alun.thomas@utah.edu.
Makoto JonesInformatics, Decision Enhancement, and Analytic Sciences (IDEAS) 2.0 Center, VA Salt Lake City Health Care System, 500 Foothill Drive Bldg. 182, Salt Lake City, UT, 84148, USA; Division of Epidemiology, University of Utah School of Medicine, 295 Chipeta Way, Salt Lake City, UT, 84132, USA. Electronic address: makoto.jones@hsc.utah.edu.
Damon TothInformatics, Decision Enhancement, and Analytic Sciences (IDEAS) 2.0 Center, VA Salt Lake City Health Care System, 500 Foothill Drive Bldg. 182, Salt Lake City, UT, 84148, USA; Division of Epidemiology, University of Utah School of Medicine, 295 Chipeta Way, Salt Lake City, UT, 84132, USA. Electronic address: damon.toth@hsc.utah.edu.
Vanessa StevensInformatics, Decision Enhancement, and Analytic Sciences (IDEAS) 2.0 Center, VA Salt Lake City Health Care System, 500 Foothill Drive Bldg. 182, Salt Lake City, UT, 84148, USA; Division of Epidemiology, University of Utah School of Medicine, 295 Chipeta Way, Salt Lake City, UT, 84132, USA. Electronic address: vanessa.stevens@hsc.utah.edu.
Matthew H SamoreInformatics, Decision Enhancement, and Analytic Sciences (IDEAS) 2.0 Center, VA Salt Lake City Health Care System, 500 Foothill Drive Bldg. 182, Salt Lake City, UT, 84148, USA; Division of Epidemiology, University of Utah School of Medicine, 295 Chipeta Way, Salt Lake City, UT, 84132, USA. Electronic address: matthew.samore@hsc.utah.edu.
CDC Modeling Infectious Diseases in Healthcare Program (MInD-Healthcare)

Funding

University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
UNIVERSITY OF UTAH CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE-UL1: BPCAUL1RR025764 · NCRR · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2008 to 2011
$19.4M
University of Utah Center for Clinical and Translational Science-UL1UL1TR000105 · NCATS · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2012 to 2013
$5.1M
Informatics, Decision-Enhancement and Analytic Sciences CenterI50HX001240 · VA · VA SALT LAKE CITY HEALTHCARE SYSTEM · PI SAMORE, MATTHEW H · 2015 to 2015
–
HSRD VA I50 HX001240NCATS NIH HHS UL1 TR000105NCATS NIH HHS UL1 TR001067NCEZID CDC HHS U01 CK000538NCEZID CDC HHS U54 CK000456NCRR NIH HHS UL1 RR025764
6 · The paper itself

Abstract

Variation and differences of MRSA transmission within and between healthcare settings are not well understood. This variability is critical for understanding the potential impact of infection control interventions and could aid in the evaluation of future intervention strategies. We fit a Bayesian transmission model to detailed individual-level MRSA surveillance data from over 230 Veterans Affairs (VA) hospitals and nursing homes. Our approach disentangles the effects of potential confounders, including length of stay, admission prevalence, and clearance, estimating dynamic transmission model parameters and temporal trends. The median baseline transmission rate in hospitals was approximately four-fold higher than in nursing homes, and declined in 46% of hospitals and 9% of nursing homes, resulting in a median transmission rate reduction of 43% across hospitals and an increase of 2% in nursing homes. For first admissions into an acute care facility, the median (range) importation probability was 10.5% (5.9%-18.4%), and was nearly twice as large, 18.7% (9.2%-37.4%), in nursing homes. This analysis found differences within and between hospitals and nursing homes. The transmission rate declined substantially in hospitals and remained stable in nursing homes, while admission prevalence was considerably higher in nursing homes than in hospitals.

Indexed as

Methicillin-Resistant Staphylococcus aureusBayes TheoremHospitalizationHospitals, VeteransHumansNursing HomesPrevalenceStaphylococcal InfectionsVeteransHospitalMRSANursing homeTransmission dynamic trendsVeterans affairs

Identifiers

PMID31171468
PMCPMC7006838

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.