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The contribution of the visual in qualitative participatory art-based research methods within the mental health field
Dalarna University, School of Health and Welfare, Social Work.ORCID iD: 0000-0001-9836-6446
2025 (English)In: Qualitative Research Journal, ISSN 1443-9883, E-ISSN 1448-0980Article in journal (Refereed) Epub ahead of print
Abstract [en]

Purpose

The aim of this study is to advance the understanding of the visual in arts-based participatory research, by using the concept of theorizing processes as an analytical lens.

Design/methodology/approach

A secondary data analysis was conducted, using data collected in a qualitative study exploring sustainable living environments for people with mental ill-health.

Findings

The visual allowed for new perspectives to be gained by the process including (1) viewing the visual data, (2) exploring the visual data with words and (3) explaining, recognizing and understanding the insights acquired from the initial visuality.

Originality/value

This study suggests how the use of the visual in participatory art-based qualitative research methods could contribute to the gain of new perspectives. This finding is the contribution of this study to the field of arts and health.

Place, publisher, year, edition, pages
EMERALD GROUP PUBLISHING LTD , 2025.
Keywords [en]
Arts-based research methods, Collage, Mental health, Photovoice, Theorizing, Visuality
National Category
Public Health, Global Health and Social Medicine
Identifiers
URN: urn:nbn:se:du-51633DOI: 10.1108/QRJ-03-2025-0105ISI: 001583584500001OAI: oai:DiVA.org:du-51633DiVA, id: diva2:2010765
Available from: 2025-11-03 Created: 2025-11-03 Last updated: 2025-11-03Bibliographically approved

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Fjellfeldt, Maria

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf