Evidence map›Paper›PMID 30884250›Full record

ReviewHuman factors2019

Human Factors Engineering Contributions to Infection Prevention and Control.

Frank A Drews, Lindsay C Visnovsky, Jeanmarie Mayer

Abstract readReview
In one paragraph

Review in Human factors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Evaluation of a Redesigned Personal Protective Equipment Gown.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Observational
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

3 authors.

Frank A DrewsUniversity of Utah, Salt Lake City, USA.
Lindsay C VisnovskyUniversity of Utah, Salt Lake City, USA.
Jeanmarie MayerUniversity of Utah, Salt Lake City, USA.

Funding

NCEZID CDC HHS U54 CK000456
6 · The paper itself

Abstract

objectiveThis article provides a review of areas that present significant challenges in infection prevention and control and describes human factors engineering (HFE) approaches that have been applied successfully to these areas. In addition, implications and recommendations for HFE use in future research are discussed.

backgroundInfection prevention and control aims to prevent patients and health care personnel from acquiring preventable infections in healthcare. Effective infection control practices of healthcare-associated infections have recently become even more critical with the emergence of life-threatening infections. HFE could benefit infection prevention and control in addressing older and more recent challenges, but uptake has been limited. METHOD/

resultsThis literature review is an integration and synthesis of recently published research that describes HFE-based approaches in infection prevention and control to address the challenges for three specific topics. The results of the review suggests that HFE is in a position to support work in infection prevention and control and improve overall healthcare safety.

conclusionHFE provides conceptual frameworks and methods that have significant potential to improve infection prevention and control. APPLICATION: The work reviewed can provide potential solutions for current infection prevention and control challenges by applying HFE based recommendations.

Indexed as

Catheterization, Central VenousErgonomicsHand HygienePersonal Protective EquipmentCatheter-Related InfectionsCross InfectionGuideline AdherenceHumansInfection Controladherence engineeringbloodstream infectionshand hygieneinfection prevention and controlpersonal protective equipment

Identifiers

PMID30884250
PMCPMC7207010

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.