Document Detail


Why we should worry about malingering in the VA system: Comment on Jackson et al. (2011).
MedLine Citation:
PMID:  22786620     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
In a recent survey, Jackson et al. (2011) found that clinicians who evaluate veterans for service-connected disability pensions rarely use recommended best practices to assess for posttraumatic stress disorder (PTSD) within the Department of Veterans Affairs (VA). We share their dismay, and we hope that their article will help foster evidence-based assessments for diagnosing PTSD in veterans. Jackson et al. briefly discussed scholarship on malingering among applicants for service-connected disability compensation for PTSD, concluding that concerns about malingering are largely unfounded. The data they adduce, however, in support of this conclusion actually provide reasons for concern as we document in this article. We cite recent work by labor economists in support of our argument.
Authors:
Richard J McNally; B Christopher Frueh
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-7-11
Journal Detail:
Title:  Journal of traumatic stress     Volume:  -     ISSN:  1573-6598     ISO Abbreviation:  -     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-7-12     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8809259     Medline TA:  J Trauma Stress     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 International Society for Traumatic Stress Studies.
Affiliation:
Department of Psychology, Harvard University, Cambridge, Massachusetts, USA. rjm@wjh.harvard.edu.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Chemoselective N-Acylation of Indoles and Oxazolidinones with Carbonylazoles.
Next Document:  Assessing the consistency assumption by exploring treatment by covariate interactions in mixed treat...