Evidence map›Paper›PMID 33359551›Full record

ArticleAmerican journal of infection control2021

Physical distancing for care delivery in health care settings: Considerations and consequences.

Vishala Parmasad, Julie A Keating, Pascale Carayon, Nasia Safdar

Open access · greenAbstract read
In one paragraph

Article in American journal of infection control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Vishala ParmasadDepartment of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI.
Julie A KeatingWilliam S. Middleton Memorial Veterans Hospital, Madison, WI.
Pascale CarayonWisconsin Institute for Healthcare Systems Engineering, University of Wisconsin-Madison, Madison, WI; Department of Industrial and Systems Engineering, College of Engineering, University of Wisconsin-Madison, Madison, WI.
Nasia SafdarDepartment of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI; William S. Middleton Memorial Veterans Hospital, Madison, WI. Electronic address: ns2@medicine.wisc.edu.
University of Wisconsin–Madison · USWilliam S. Middleton Memorial Veterans Hospital · 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
Fluoroquinolone Restriction for the Prevention of C. difficile Infection (CDI)_the FIRST Trial.R01HS026226 · AHRQ · UNIVERSITY OF WISCONSIN-MADISON · PI SAFDAR, NASIA · 2018 to 2022
$2.5M
AHRQ HHS R01 HS026226NCATS NIH HHS UL1 TR002373
6 · The paper itself

Abstract

As health care systems explore new ways of delivering care for patients with and without COVID-19, they must consider how to maintain physical distancing among health care workers and patients. Physical distancing in high complexity systems such as health care is particularly challenging and may benefit from a human factors and systems engineering perspective. We discuss challenges to implementing and maintaining physical distancing in health care settings and present possible solutions from a human factors and systems engineering perspective.

Indexed as

COVID-19Physical DistancingDelivery of Health CareHealth FacilitiesHumansSARS-CoV-2COVID-19Disease transmissionSocial distancingSystems engineering initiative for patient safety

Identifiers

PMID33359551
PMCPMC7759337
OpenAlexW3113414259

What OpenQuestion holds

Textmetadata
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.