Evidence map›Paper›PMID 25728149›Full record

ArticleAmerican journal of infection control2015

Understanding the current state of infection prevention to prevent Clostridium difficile infection: a human factors and systems engineering approach.

Eric Yanke, Caroline Zellmer, Sarah Van Hoof, Helene Moriarty, Pascale Carayon, Nasia Safdar

Open access · greenAbstract read
In one paragraph

Article in American journal of infection control, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 69 citations in OpenAlex.

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  10. Prevention ofMicroorganisms · 2020
    Review
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  16. Antimicrobial resistance and infection control · 2018
    Article
  17. 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 at 4 institutions in 1 country.

Eric YankeDepartment of Medicine, William S. Middleton Memorial Veterans Hospital, Madison, WI.
Caroline ZellmerCollege of Agricultural and Life Sciences, University of Wisconsin-Madison, Madison, WI.
Sarah Van HoofDepartment of Infection Control, University of Wisconsin Hospital and Clinics, Madison, WI.
Helene MoriartyVillanova University College of Nursing, Villanova, PA; Philadelphia Veterans Affairs Medical Center, Philadelphia, PA.
Pascale CarayonDepartment of Industrial and Systems Engineering, Center for Quality and Productivity Improvement, University of Wisconsin-Madison, Madison, WI.
Nasia SafdarWilliam S. Middleton Memorial Veterans Hospital, Madison, WI; Division of Infectious Diseases, Department of Medicine, University of Wisconsin Medical School, Madison, WI; Infection Control Department, University of Wisconsin-Madison, Madison, WI. Electronic address: ns2@medicine.wisc.edu.
University of Wisconsin–Madison · USUW Health University Hospital · USVillanova University · USWilliam S. Middleton Memorial Veterans Hospital · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
NCATS NIH HHS 9U54TR000021NCATS NIH HHS UL1 TR000427NCRR NIH HHS 1UL1RR025011NCRR NIH HHS UL1 RR025011
6 · The paper itself

Abstract

backgroundAchieving and sustaining high levels of health care worker (HCW) compliance with contact isolation precautions is challenging. The aim of this study was to determine HCW work system barriers to and facilitators of adherence to contact isolation for patients with suspected or confirmed Clostridium difficile infection (CDI) using a human factors and systems engineering approach.

methodsThis prospective cohort study took place between September 2013 and November 2013 at a large academic medical center (hospital A) and an affiliated Veterans Administration hospital (hospital B). A human factors engineering (HFE) model for patient safety, the Systems Engineering Initiative for Patient Safety model, was used to guide work system analysis and direct observation data collection. There were 288 observations conducted. HCWs and visitors were assessed for compliance with all components of contact isolation precautions (hand hygiene, gowning, and gloving) before and after patient contact. Time required to complete contact isolation precautions was measured, and adequacy of contact isolation supplies was assessed.

resultsFull compliance with contact isolation precautions was low at both hospitals A (7%) and B (22%). Lack of appropriate hand hygiene prior to room entry (compliance for hospital A: 18%; compliance for hospital B: 29%) was the most common reason for lack of full compliance. More time was required for full compliance compared with compliance with no components of contact isolation precautions before patient room entry, inside patient room, and after patient room exit (59.9 vs 3.2 seconds, P < .001; 507.3 vs 149.7 seconds, P = .006; 15.2 vs 1.3 seconds, P < .001, respectively). Compliance was lower when contact isolation supplies were inadequate (4% vs 16%, P = .005).

conclusionsAdherence to contact isolation precautions for CDI is a complex, time-consuming process. HFE analysis indicates that multiple work system components serve as barriers and facilitators to full compliance with contact isolation precautions and should be addressed further to prevent CDI.

Indexed as

Patient SafetyAcademic Medical CentersClostridioides difficileClostridium InfectionsCohort StudiesCross InfectionDiarrheaGuideline AdherenceHospitals, VeteransHumansInfection ControlProspective StudiesClostridium difficileContact precautionsHuman factorsInfection controlSystems engineering

Identifiers

PMID25728149
PMCPMC4465332
OpenAlexW2022967441

What OpenQuestion holds

Textmetadata
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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.