Evidence map›Paper›PMID 32789427›Full record

ArticleSaudi medical journal2020

Prevalence and determinants of unconscious stereotyping among primary care physicians. An analytical cross-section study.

Naif M Alqahtani, Shehata F Shehata, Ossama A Mostafa

Open access · diamondAbstract read
In one paragraph

Article in Saudi medical journal, 2020. 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
0.4field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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 at 2 institutions in 1 country.

Naif M AlqahtaniMinistry of Health, Aseer, Kingdom of Saudi Arabia. E-mail. naif-454@hotmail.com.
Shehata F Shehata
Ossama A Mostafa
Ministry of Health · SAKing Khalid University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore implicit stereotyping among primary healthcare (PHC) physicians and to identify determinants of physicians' stereotyping of patients based on the patients' characteristics and appearance.

methodsThis study followed an analytical cross-sectional design conducted between October 2019 and December 2019, and included 250 primary healthcare (PHC) physicians in Aseer Region, Kingdom of Saudi Arabia. Data was collected using a self-administered questionnaire, which included items concerning physicians' sociodemographic characteristics, and their attitudes toward patient characteristics and patient appearance.

resultsPrevalence of stereotyping among PHC physicians was 63.6% with respect to patient characteristics and 57.6% with respect to patient appearance. Stereotyping based on patient characteristics was higher among younger participants, females, those with bachelor's degrees, those in general practitioner positions, and those with less experience in PHC.

conclusionMost PHC physicians in Aseer Region, Kingdom of Saudi Arabia, are liable to implicit stereotyping based on patient characteristics (namely, gender and educational level) and patient appearance (namely, clothing). Therefore, it is recommended to train PHC physicians in cultural competency to reduce unintentional acts of discrimination toward their patients.

Indexed as

Attitude of Health PersonnelHuman CharacteristicsPhysical Appearance, BodyPhysician-Patient RelationsUnconscious, PsychologyAdultAge FactorsCross-Sectional StudiesEducational StatusFemaleHumansLogistic ModelsMalePhysicians, Primary CareSaudi ArabiaSex Factors

Identifiers

PMID32789427
PMCPMC7502956
OpenAlexW3049187056

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.