746
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

Queen of the Owls: Metaphor and Identity in Psychiatric Diagnosis

, PhD
Pages 235-251 | Published online: 14 Apr 2015
 

Abstract

Clinical social workers’ commitment to social justice makes them acutely concerned about discrimination and dis-empowerment, and thus they are sensitive to the impact of stigma on persons diagnosed with a mental disorder. At the same time, it is important to explore whether clinicians’ assumptions about psychiatric diagnoses as stigmatizing mesh with the views and experiences of those who actually receive and live with these diagnoses. To address this question, in-depth interviews were conducted with 30 individuals carrying a range of psychiatric diagnoses. Narrative and thematic analysis yielded several distinct narratives about living with a mental health label. For many participants, diagnosis brought validation; to be “named” was to be welcomed into one’s tribe. For others, diagnosis meant reduction and mistranslation. Findings raise questions about the assumption that diagnostic labels necessarily bring shame and/or loss of self-efficacy. Without minimizing the impact of stigma, clinicians need to remain open to discovering how each client finds meaning in the diagnostic experience. Based on participants’ use of deeply personal images, metaphor is proposed as a creative means for re-claiming identity. Implications for practice and further research are suggested.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 206.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.