Evidence map›Paper›PMID 31014361›Full record

ArticleHealth research policy and systems2019

Undoing the unspeakable: researching racism in Swedish healthcare using a participatory process to build dialogue.

Hannah Bradby, Suruchi Thapar-Björkert, Sarah Hamed, Beth Maina Ahlberg

Abstract read
In one paragraph

Article in Health research policy and systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  6. Training Psychology and Psychiatry Diversity Dialogue Facilitators.Journal of clinical psychology in medical settings · 2024
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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.

Hannah BradbyDepartment of Sociology, Uppsala University, Uppsala, Sweden. hannah.bradby@soc.uu.se.ORCID http://orcid.org/0000-0002-0664-1170
Suruchi Thapar-BjörkertDepartment of Government, Uppsala University, Uppsala, Sweden.
Sarah HamedDepartment of Sociology, Uppsala University, Uppsala, Sweden.
Beth Maina AhlbergSkaraborg Institute and Department of Sociology, Uppsala University, Skövde and Uppsala, Sweden.

Funding

Vetenskapsrådet 2016-04078
6 · The paper itself

Abstract

backgroundRacism is difficult to discuss in the context of Swedish healthcare for various cultural and administrative reasons. Herein, we interpret the fragmentary nature of the evidence of racialising processes and the difficulty of reporting racist discrimination in terms of structural violence.

methodsIn response to the unspeakable nature of racism in Swedish healthcare, we propose a phased participatory process to build a common vocabulary and grammar through a consultative framework involving healthcare providers and service users as well as policy-makers. These stakeholders will be involved in an educational intervention to facilitate discussion around and avoidance of racism in service provision. DISCUSSION: Both the participatory process and outcomes of the process, e.g. educational interventions, will contribute to the social and political conversation about racism in healthcare settings. Creating new ways of discussing sensitive topics allows ameliorative actions to be taken, benefitting healthcare providers and users. The urgency of the project is underlined.

Indexed as

Administrative PersonnelCommunicationDelivery of Health CareHealth PersonnelProfessional-Patient RelationsRacismCultureEducation, ContinuingGroup ProcessesHealth EquityHumansQuality of Health CareReferral and ConsultationResearch DesignSwedenhealthcareparticipatory methodsracismSweden

Identifiers

PMID31014361
PMCPMC6480694

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.