JOURNAL ARTICLE

Picturing Quality of Life: Exploring the Perceptions of People LivingWith Stroke and Traumatic Brain Injury Through Virtual Photovoice.

  • Published In: Qualitative Research in Communication Differences & Disorders, 2025, v. 16, n. 2/3. P. 253 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Bush, Erin J.; Strong, Katie A.; Hinckley, Jacqueline 3 of 3

Abstract

This article focuses on exploring quality of life (QOL) perceptions among individuals with chronic neurogenic communication disabilities—specifically aphasia due to stroke and cognitive-communication impairments due to traumatic brain injury (TBI)—using Photovoice, a participatory research method that enables participants to express their lived experiences through self-curated photographs and captions. Two small groups of participants collaboratively identified themes reflecting their QOL: those with aphasia emphasized Faith and Gratitude, On the Go with Friends, Independence, and Looking Ahead, while those with TBI highlighted Isolated and Overwhelmed, Inconsistent and Erratic Emotions, Neurofatigue, Support, and The Path Ahead. The study demonstrates that Photovoice offers an accessible and empowering approach to capturing subjective QOL perspectives that differ from traditional researcher-driven measures, underscoring the importance of involving people with communication disabilities as stakeholders in QOL measure development. Limitations include the small sample size, virtual format during the COVID-19 pandemic, and reliance on self-reported diagnoses.

Additional Information

  • Source:Qualitative Research in Communication Differences & Disorders. 2025/12, Vol. 16, Issue 2/3, p253
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:2819-7178
  • DOI:10.3138/qrcdd-2024-0012
  • Accession Number:193648839
  • Copyright Statement:Copyright of Qualitative Research in Communication Differences & Disorders is the property of University of Toronto Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.