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Proposing a new history of grief's medicalisation: A critical discourse analysis.

  • Published In: Sociology of Health & Illness, 2024, v. 46, n. 7. P. 1306 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Smith, D. Grace 3 of 3

Abstract

Conceptualisations of grief have transformed significantly in recent decades, from an experience accepted and expressed in community spaces to a diagnosable clinical phenomenon. Narratives of this transformation tend to focus on grief's relationship to major depression, or on recent nosological changes. This paper examines the possibility of a new narrative for medicalisation by grounding in the networks of language and power created around 'grief' through a critical discourse analysis of psy‐discipline articles (n = 70) published between 1975 and 1995. Focusing on shifts in definitions of, methods used to approach, and rationales motivating study of the experience, it posits that the psy‐disciplines exerted exclusive expertise over grief decades before its creation as a diagnosis. By reconceptualising grief in the terms of psy‐specific symptoms and functional performance and by approaching it with the decontextualising and interventionist methods of an increasingly scientific psy‐discipline, the psy‐community medicalised grief between 1975 and 1995. Identifying neoliberal and other cultural influences shaping this process of medical construction and reconsidering narratives of grief's history mindful of the powers exerted in medicalisation, this paper establishes that these moments played a critical role in the development of the present's grief. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Sociology of Health & Illness. 2024/09, Vol. 46, Issue 7, p1306
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:0141-9889
  • DOI:10.1111/1467-9566.13770
  • Accession Number:180951319
  • Copyright Statement:Copyright of Sociology of Health & Illness is the property of Wiley-Blackwell 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.)

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