Evidence map›Paper›PMID 29751022›Full record

ArticleThe Journal of hospital infection2018

Evaluating a neonatal intensive care unit MRSA surveillance programme using agent-based network modelling.

N D Goldstein, S M Jenness, D Tuttle, M Power, D A Paul, S C Eppes

Abstract read
In one paragraph

Article in The Journal of hospital infection, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Impact of methicillin-resistantAntimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    Article
  2. Article
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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

6 authors.

N D GoldsteinDepartment of Pediatrics, Christiana Care Health System, Newark, DE, USA; Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA. Electronic address: ngoldstein@christianacare.org.
S M JennessDepartment of Epidemiology, Emory University, Atlanta, GA, USA.
D TuttleDepartment of Pediatrics, Christiana Care Health System, Newark, DE, USA.
M PowerDepartment of Infection Prevention, Christiana Care Health System, Newark, DE, USA.
D A PaulDepartment of Pediatrics, Christiana Care Health System, Newark, DE, USA.
S C EppesDepartment of Pediatrics, Christiana Care Health System, Newark, DE, USA.

Funding

EpiModel 2.0: Integrated Network Models for HIV/STI Prevention ScienceR01AI138783 · NIAID · EMORY UNIVERSITY · PI JENNESS, SAMUEL · 2018 to 2021
$3.0M
NIAID NIH HHS R01 AI138783
6 · The paper itself

Abstract

backgroundSurveillance for meticillin-resistant Staphylococcus aureus (MRSA) in neonatal intensive care units (NICUs) is a commonplace infection prevention strategy, yet the optimal frequency with which to monitor the unit is unknown.

aimTo compare various surveillance frequencies using simulation modelling.

methodsOne hundred NICU networks of 52 infants were simulated over a six-month period to assess MRSA transmission. Unit-wide surveillance occurred every N weeks where N={1,2,3,4}, and was compared with the current NICU policy of dynamic surveillance (i.e. weekly when at least one positive screen, otherwise every three weeks). For each surveillance period, colonized infants received a decolonization regimen (56% effective) and were moved to isolation rooms, if available.

findingsAs the surveillance frequency increased, the mean number of MRSA-colonized infants decreased, from a high of 2.9 (four-weekly monitoring) to a low of 0.6 (weekly monitoring) detected per episode. The mean duration of colonization decreased from 307 h (four-weekly monitoring) to 61 h (weekly monitoring). Meanwhile, the availability of isolation rooms followed an inverse relationship: as surveillance frequency increased, the availability of isolation rooms decreased (61% isolation success rate for four-weekly monitoring vs 49% success rate for weekly monitoring). The dynamic policy performed similar to a biweekly programme.

conclusionsAn effective MRSA surveillance programme needs to balance resource availability with potential for harm due to longer colonization periods and opportunity for development of invasive disease. While more frequent monitoring led to greater use of a decolonization regimen, it also reduced the likelihood of isolation rooms being available.

Indexed as

Epidemiological MonitoringIntensive Care Units, NeonatalCross InfectionDisease Transmission, InfectiousHumansInfantInfant, NewbornInfection ControlMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsTime FactorsAgent-based modelHealth economicsMathematical modelMeticillin-resistant Staphylococcus aureusMRSANetwork analysisSurveillance

Identifiers

PMID29751022
PMCPMC6434683

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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.