Evidence map›Paper›PMID 32909845›Full record

ArticleHealthcare management forum2021

Making the implicit explicit: A visual model for lowering the risk of implicit bias of mental/behavioural disorders on safety and quality of care.

Thomas Ungar, Stephanie Knaak, Ed Mantler

Abstract read
In one paragraph

Article in Healthcare management forum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Thomas UngarSt. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-9627-0421
Stephanie KnaakUniversity of Calgary, Calgary, Alberta, Canada.
Ed Mantler434957Mental Health Commission of Canada, Ottawa, Ontario, Canada.ORCID https://orcid.org/0000-0003-0610-2537

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Persons with mental illness and/or addictions have poorer health outcomes than the general population. Lower quality of healthcare has been identified as an important factor. A main contributor to lower quality of care for people with mental illnesses and/or addictions may be the cognitive implicit bias of mental versus physical care when assessing and categorizing a patient's clinical presentation. The objective of this article is to highlight how this implicit cognitive bias of mental versus physical care can result in human factor risks to quality of care. We provide three specific case examples of where these quality concerns arise. We also propose the use of a new visual tool to help educate and create awareness of this implicit-bias-based risk and quality care problem.

Indexed as

Attitude of Health PersonnelMental DisordersHumansPrejudiceQuality of Health Care

Identifiers

PMID32909845
PMCPMC7903851

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.