Evidence map›Paper›PMID 38050151›Full record

ArticleBMJ quality & safety2024

Connecting pathogen transmission and healthcare worker cognition: a cognitive task analysis of infection prevention and control practices during simulated patient care.

Joel M Mumma, Bradley W Weaver, Jill S Morgan, Golpar Ghassemian, Paige R Gannon, Kylie B Burke, Brandon A Berryhill, Rebecca E MacKay, Lindsay Lee, Colleen S Kraft

Abstract read
In one paragraph

Article in BMJ quality & safety, 2024. 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. The cognitive work of acute care nurses: A hybrid model concept analysis.International journal of nursing studies advances · 2026
    Article
  2. Article
  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

10 authors.

Joel M MummaDivision of Infectious Diseases, Department of Medicine, Emory University, Atlanta, Georgia, USA jmmumma@emory.edu.ORCID 0000-0002-6434-9178
Bradley W WeaverDivision of Infectious Diseases, Department of Medicine, Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-3600-1016
Jill S MorganClinical Research, Emory University Hospital, Atlanta, Georgia, USA.
Golpar GhassemianCritical Care, Emory University Hospital, Atlanta, Georgia, USA.
Paige R GannonDivision of Infectious Diseases, Department of Medicine, Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-7430-1266
Kylie B BurkeDivision of Infectious Diseases, Department of Medicine, Emory University, Atlanta, Georgia, USA.
Brandon A BerryhillDepartment of Biology, Emory University, Atlanta, Georgia, USA.
Rebecca E MacKayDivision of Infectious Diseases, Department of Medicine, Emory University, Atlanta, Georgia, USA.
Lindsay LeeDivision of Infectious Diseases, Department of Medicine, Emory University, Atlanta, Georgia, USA.
Colleen S KraftDivision of Infectious Diseases, Department of Medicine, Emory University, Atlanta, Georgia, USA.

Funding

ACL HHS U54CK000481CDC HHS NU38 CK000480NCEZID CDC HHS U54 CK000481
6 · The paper itself

Abstract

backgroundRelatively little is known about the cognitive processes of healthcare workers that mediate between performance-shaping factors (eg, workload, time pressure) and adherence to infection prevention and control (IPC) practices. We taxonomised the cognitive work involved in IPC practices and assessed its role in how pathogens spread.

methodsForty-two registered nurses performed patient care tasks in a standardised high-fidelity simulation. Afterwards, participants watched a video of their simulation and described what they were thinking, which we analysed to obtain frequencies of macrocognitive functions (MCFs) in the context of different IPC practices. Performance in the simulation was the frequency at which participants spread harmless surrogates for pathogens (bacteriophages). Using a tertiary split, participants were categorised into a performance group: high, medium or low. To identify associations between the three variables-performance groups, MCFs and IPC practices-we used multiblock discriminant correspondence analysis (MUDICA).

resultsMUDICA extracted two factors discriminating between performance groups. Factor 1 captured differences between high and medium performers. High performers monitored the situation for contamination events and mitigated risks by applying formal and informal rules or managing their uncertainty, particularly for sterile technique and cleaning. Medium performers engaged more in future-oriented cognition, anticipating contamination events and planning their workflow, across many IPC practices. Factor 2 distinguished the low performers from the medium and high performers who mitigated risks with informal rules and sacrificed IPC practices when managing tradeoffs, all in the context of minimising cross-contamination from physical touch.

conclusionsTo reduce pathogen transmission, new approaches to training IPC (eg, cognitive skills training) and system design are needed. Interventions should help nurses apply their knowledge of IPC fluidly during patient care, prioritising and monitoring situations for risks and deciding how to mitigate risks. Planning IPC into one's workflow is beneficial but may not account for the unpredictability of patient care.

Indexed as

CognitionInfection ControlAdultCross InfectionFemaleHealth PersonnelHumansMalePatient SimulationTask Performance and Analysisdecision makinghuman factorsinfection controlsimulation

Identifiers

PMID38050151
PMCPMC11228200

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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.