Literature DB >> 26689630

"Heroes' invisible wounds of war:" constructions of posttraumatic stress disorder in the text of US federal legislation.

Jonathan Purtle1.   

Abstract

Public policies contribute to the social construction of mental health problems. In this study, I use social constructivist theories of policy design and the methodology of ethnographic content analysis to qualitatively explore how posttraumatic stress disorder (PTSD) has been constructed as a problem in US federal legislation. I analyzed the text of 166 bills introduced between 1989 and 2009 and found that PTSD has been constructed as a problem unique to combat exposures and military populations. These constructions were produced through combat-related language and imagery (e.g., wounds, war, heroism), narratives describing PTSD as a military-specific phenomenon, and reinforced by the absence of PTSD in trauma-focused legislation targeting civilians. These constructions do not reflect the epidemiology of PTSD-the vast majority of people who develop the disorder have not experienced combat and many non-combat traumas (e.g., sexual assault) carry higher PTSD risk-and might constrain public and political discourse about the disorder and reify sociocultural barriers to the access of mental health services.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Policy design theory; Posttraumatic stress disorder; Public policy; Qualitative document analysis; United States

Mesh:

Year:  2015        PMID: 26689630     DOI: 10.1016/j.socscimed.2015.11.039

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  2 in total

1.  Mapping "Trauma-Informed" Legislative Proposals in U.S. Congress.

Authors:  Jonathan Purtle; Michael Lewis
Journal:  Adm Policy Ment Health       Date:  2017-11

2.  A Dynamic Model of Post-Traumatic Stress Disorder for Military Personnel and Veterans.

Authors:  Navid Ghaffarzadegan; Alireza Ebrahimvandi; Mohammad S Jalali
Journal:  PLoS One       Date:  2016-10-07       Impact factor: 3.240

  2 in total

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