Evidence map›Paper›PMID 39145329›Full record

ArticleSchizophrenia bulletin open2023

Schizophrenia in Print, Digital, and Audiovisual Media: Trends, Topics, and Results From an Anti-Stigma Intervention Targeting Media Professionals.

Christopher Holmberg

Abstract read
In one paragraph

Article in Schizophrenia bulletin open, 2023. 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

1 author.

Christopher HolmbergDepartment of Psychotic Disorders, Sahlgrenska University Hospital, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-6493-3817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Negative portrayals of schizophrenia in media can prompt the condition's stigmatization. However, because research on language stigmatizing schizophrenia has focused on paper-based media, its results have limited generalizability to contemporary media. Also, research on interventions to guide media professionals in accurately depicting schizophrenia has been scarce. The present study had two aims: (1) to assess how print, web, and radio/TV news media in Sweden portray schizophrenia and (2) to evaluate a campaign targeting media professionals' responses to information about schizophrenia and the consequences of stigmatizing language. Study Design: Using data from Retriever's database, considering media types and topics, the terms "schizophrenia" and "schizophrenic" were examined in the past 20 years, whereas analyses of stigmatizing reporting of these terms used media from the past 10 years. Media professionals' responses and actions in the anti-stigma information campaign StigmaWatch were also evaluated. Study Results: Between 2002 and 2022, "schizophrenia" was mentioned 34 141 times in the dataset and "schizophrenic" 10 058 times. However, no trends were statistically significant. All media topics and most types of media contained stigmatizing reporting. Of the 230 media professionals who received informative emails from StigmaWatch, 77 (33%) responded. Most responses were supportive, and 14% of the professionals reported taking corrective measures (eg, revising erroneous descriptions of schizophrenia) following the email. Conclusions: No media topic was free of language stigmatizing schizophrenia. The anti-stigma information campaign seemed to have been effective, for most media professionals who responded were supportive, and a sizable proportion reported taking corrective measures.

Indexed as

interventionmediaschizophreniasevere mental illnessstereotypingstigma

Identifiers

PMID39145329
PMCPMC11207655

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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.