Evidence map›Paper›PMID 32052722›Full record

ArticleInfection control and hospital epidemiology2020

Reducing

Anna K Barker, Elizabeth Scaria, Oguzhan Alagoz, Ajay K Sethi, Nasia Safdar

Open access · greenAbstract readComparative Study
In one paragraph

Article in Infection control and hospital epidemiology, 2020. 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
0.3field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Journal of medical microbiology · 2024
    Review
  2. Review
  3. 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

5 authors at 1 institution in 1 country.

Anna K BarkerDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin.ORCID https://orcid.org/0000-0003-0719-6838
Elizabeth ScariaDepartment of Industrial and Systems Engineering, College of Engineering, University of Wisconsin-Madison, Madison, Wisconsin.
Oguzhan AlagozDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin.
Ajay K SethiDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin.
Nasia SafdarDivision of Infectious Diseases, Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin.
University of Wisconsin–Madison · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
INTEGRATED TRAINING FOR PHYSICIAN-SCIENTISTST32GM008692 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BURKARD, MARK E · 1998 to 2020
$10.3M
Modelling applications and systems engineering to reduce infections_the MASTERI study.DP2AI144244 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI SAFDAR, NASIA · 2018 to 2018
$2.3M
Institutional Clinical and Translational Science AwardTL1TR000429 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$1.5M
NCATS NIH HHS TL1 TR000429NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1 TR002373NIAID NIH HHS DP2 AI144244NIGMS NIH HHS T32 GM008692
6 · The paper itself

Abstract

objectiveClostridioides difficile infection (CDI) is rapidly increasing in children's hospitals nationwide. Thus, we aimed to compare the effectiveness of 9 infection prevention interventions and 6 multiple-intervention bundles at reducing hospital-onset CDI and asymptomatic C. difficile colonization.

designAgent-based simulation model of C. difficile transmission.

settingComputer-simulated, 80-bed freestanding, tertiary-care pediatric hospital, including 8 identical wards with 10 single-bed patient rooms each.

participantsThe model includes 5 distinct agent types: patients, visitors, caregivers, nurses, and physicians.

interventionsDaily and terminal environmental disinfection, screening at admission, reduced intrahospital patient transfers, healthcare worker (HCW), visitor, and patient hand hygiene, and HCW and visitor contact precautions.

resultsThe model predicted that daily environmental disinfection with sporicidal product, combined with screening for asymptomatic C. difficile at admission, was the most effective 2-pronged infection prevention bundle, reducing hospital-onset CDI by 62.0% and asymptomatic colonization by 88.4%. Single-intervention strategies, including daily disinfection, terminal disinfection, asymptomatic screening at admission, HCW hand hygiene, and patient hand hygiene, as well as decreasing intrahospital patient transfers, all also reduced both hospital-onset CDI and asymptomatic colonization in the model. Visitor hand hygiene and visitor and HCW contact precautions were not effective at reducing either measure.

conclusionsHospitals can achieve substantial reduction in hospital-onset CDIs by implementing a small number of highly effective interventions.

Indexed as

Clostridioides difficileClostridium InfectionsComputer SimulationCross InfectionDisinfectionHospitals, PediatricHumansInfection Control

Identifiers

PMID32052722
PMCPMC7461244
OpenAlexW3006377037

What OpenQuestion holds

Textmetadata
LicenceTDM
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.