Evidence map›Paper›PMID 30351349›Full record

ArticleAmerican journal of epidemiology2019

Development and Validation of a Clinical Prediction Rule to Predict Transmission of Methicillin-Resistant Staphylococcus aureus in Nursing Homes.

Sarah S Jackson, Alison D Lydecker, Laurence S Magder, Mary-Claire Roghmann

Open access · hybridAbstract read
In one paragraph

Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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.

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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Presence of Methicillin-ResistantTropical medicine and infectious disease · 2021
    Review
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

4 authors at 2 institutions in 1 country.

Sarah S JacksonDepartment of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Baltimore, Maryland.
Alison D LydeckerDepartment of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Baltimore, Maryland.
Laurence S MagderDepartment of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Baltimore, Maryland.
Mary-Claire RoghmannDepartment of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Baltimore, Maryland.
University of Maryland, Baltimore · USVA Maryland Health Care 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
Modifying Contact Precautions for MRSA in Extended CareR18HS019979 · AHRQ · UNIVERSITY OF MARYLAND BALTIMORE · PI ROGHMANN, MARY-CLAIRE · 2011 to 2013
$1.4M
AHRQ HHS R18 HS019979NIA NIH HHS P30 AG028747
6 · The paper itself

Abstract

The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) colonization among nursing home residents is high. Health-care workers (HCWs) often serve as a vector in MRSA transmission. The ability to identify residents who are likely to transmit MRSA to HCWs' hands and clothing during clinical care is important so that infection control measures, such as Contact Precautions, can be employed. Using data on demographic and clinical characteristics collected from residents of community nursing homes in Maryland and Michigan between 2012 and 2014, we developed a clinical prediction rule predicting the probability of MRSA transmission to HCWs' gowns. We externally validated this model in a cohort of Department of Veterans Affairs nursing home residents from 7 states between 2012 and 2016. The prediction model, which included sex, race, resident dependency on HCWs for care, the presence of any medical device, diabetes mellitus, and chronic skin breakdown, showed good performance (C statistic = 0.70; sensitivity = 76%, specificity = 49%) in the development set. The decision curve analysis indicated that this model has greater clinical utility than use of a nares surveillance culture for MRSA colonization, which is current clinical practice for placing hospital inpatients on Contact Precautions. The prediction rule demonstrated less utility in the validation cohort, suggesting that a separate rule should be developed for residents of Veterans Affairs nursing homes.

Indexed as

Decision Support TechniquesMethicillin-Resistant Staphylococcus aureusAgedAged, 80 and overComorbidityCross InfectionFemaleHealth PersonnelHomes for the AgedHumansMaleMarylandMichiganMiddle AgedNursing HomesProbability

Identifiers

PMID30351349
PMCPMC6676947
OpenAlexW2897605071

What OpenQuestion holds

Textmetadata
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.