Evidence map›Paper›PMID 39614343›Full record

ArticleBMC psychology2024

Conceptualizing mental health stigma in organizational settings: a sociolinguistic perspective.

Jasper Zhao Zhen Wu, Olga Zayts-Spence, Zoë Fortune

Abstract read
In one paragraph

Article in BMC psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Jasper Zhao Zhen WuDepartment of English, Linguistics and Theatre Studies, National University of Singapore, 7 Arts Link, Block AS5, Singapore, 117570, Singapore. wuzz@u.nus.edu.
Olga Zayts-SpenceSchool of English, The University of Hong Kong, Hong Kong SAR, People's Republic of China.
Zoë FortuneSchool of Social Sciences, Heriot-Watt University Dubai, Dubai, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSociolinguistic research on workplace mental health stigma is scarce and consequently, there are a lack of relevant conceptual models. Drawing on Goffman's notion of stigma as a 'language of relationships', and Heller's concept of 'discursive space', this paper offers a conceptual model of how stigma is produced and reinforced in workplace settings. Specifically, the model maps the complex discursive processes of mental health stigmatization through workplace discursive practices.

methodsThe model is empirically grounded and draws on 23 in-depth participant interviews with professional services employees in Hong Kong. Through a meta-discursive analysis of the employees' experience in the workplace, the paper investigates how mental health stigma is produced in the workplace.

resultsConceiving the workplace as a discursive space, the model demonstrates that mental health stigma unfolds across three discursive layers, namely immediate encounters, organizational practices, and societal ideologies. Mediated by discursive practices, such as identity management, stigma is both produced and perpetuated across the three layers.

conclusionsThe paper provides a model for analyzing the production of mental health stigma through dynamic discursive activities in the workplace. By doing so, it offers a way to systematically map how stigma, brought about through discourse in organizational settings, can regulate both interpersonal relationships and resource allocation (such as career prospects).

Indexed as

Social StigmaWorkplaceAdultFemaleHong KongHumansMaleMental DisordersMental HealthMiddle AgedOrganizational CultureDiscursive spaceHong KongMental healthOrganizational settingStigma

Identifiers

PMID39614343
PMCPMC11607806

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.