Evidence map›Paper›PMID 39983121›Full record

ArticleJMIR formative research2025

Applying Critical Discourse Analysis to Cross-Cultural Mental Health Recovery Research.

Yasuhiro Kotera, Riddhi Daryanani, Oliver Skipper, Jonathan Simpson, Simran Takhi, Merly McPhilbin, Benjamin-Rose Ingall, Mariam Namasaba, Jessica Jepps, Vanessa Kellermann and 8 more

Abstract read
In one paragraph

Article in JMIR formative research, 2025. 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

18 authors.

Yasuhiro KoteraInstitute of Mental Health, School of Health Sciences, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-0251-0085
Riddhi DaryananiHealth Service and Population Research Department, King's College London, London, United Kingdom.ORCID 0000-0001-8316-6986
Oliver SkipperHealth Service and Population Research Department, King's College London, London, United Kingdom.ORCID 0009-0001-9863-9544
Jonathan SimpsonHealth Service and Population Research Department, King's College London, London, United Kingdom.ORCID 0000-0002-4285-5782
Simran TakhiInstitute of Mental Health, School of Health Sciences, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0003-3248-8912
Merly McPhilbinInstitute of Mental Health, School of Health Sciences, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-5746-3829
Benjamin-Rose IngallInstitute of Mental Health, School of Health Sciences, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0003-2449-2719
Mariam NamasabaHealth Service and Population Research Department, King's College London, London, United Kingdom.ORCID 0000-0002-7941-3769
Jessica JeppsHealth Service and Population Research Department, King's College London, London, United Kingdom.ORCID 0009-0006-5495-2674
Vanessa KellermannHealth Service and Population Research Department, King's College London, London, United Kingdom.ORCID 0009-0004-5969-3769
Divya BhandariHarvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States.ORCID 0000-0001-7720-9150
Yasutaka OjioDepartment of Community Mental Health & Law, National Institute of Mental Health, Tokyo, Japan.ORCID 0000-0002-9660-206X
Amy RonaldsonHealth Service and Population Research Department, King's College London, London, United Kingdom.ORCID 0000-0001-8369-9168
Estefania GuerreroDepartment of Social Psychology and Quantitative Psychology, University of Barcelona, Barcelona, Spain.ORCID 0000-0002-1433-0532
Tesnime JebaraHealth Service and Population Research Department, King's College London, London, United Kingdom.ORCID 0000-0002-6848-8845
Claire HendersonHealth Service and Population Research Department, King's College London, London, United Kingdom.ORCID 0000-0002-6998-5659
Mike SladeInstitute of Mental Health, School of Health Sciences, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0001-7020-3434
Sara Vilar-LluchSchool of English, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-5495-9386

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this paper is to demonstrate how critical discourse analysis (CDA) frameworks can be used in cross-cultural mental health recovery research. CDA is a qualitative approach that critically appraises how language contributes to producing and reinforcing social inequalities. CDA regards linguistic productions as reflecting, consciously or unconsciously, the narrators' understandings of, or attitudes about, phenomena. Mental health recovery research aims to identify and address power differentials, making CDA a potentially relevant approach. However, CDA frameworks have not been widely applied to mental health recovery research. We adapted established CDA frameworks to our cross-cultural mental health recovery study. The adapted methodology comprises (1) selecting discourses that indicate positive changes and (2) considering sociocultural practices informed by relevant cultural characteristics identified in our previous research, without placing value judgments. Our adapted framework can support cross-cultural mental health recovery research that uses CDA.

Indexed as

Cross-Cultural ComparisonMental DisordersMental Health RecoveryHumansLanguageMental HealthQualitative ResearchanalysisCDAcritical discourse analysiscross-cultural mental health recovery researchdiscourseframeworkinequalitieslanguagelinguistic analysislinguistic expressionsmental healthqualitative analytical approachrecovery researchsocial inequalitiessocial inequality

Identifiers

PMID39983121
PMCPMC11890128

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.