Literature DB >> 17456103

Detection of malingered PTSD: an overview of clinical, psychometric, and physiological assessment: where do we stand?

Ryan C W Hall1, Richard C W Hall.   

Abstract

Posttraumatic stress disorder (PTSD) is a condition that can be easily malingered for secondary gain. For this reason, it is important for physicians to understand the phenomenology of true PTSD and indicators that suggest an individual is malingering. This paper reviews the prevalence of PTSD for both the general population and for specific events, such as rape and terrorism, to familiarize evaluators with the frequency of its occurrence. The diagnostic criteria for PTSD, as well as potential ambiguities in the criteria, such as what constitutes an exposure to a traumatic event, are reviewed. Identified risk factors are reviewed as a potential way to help differentiate true cases of PTSD from malingered cases. The question of symptom overreporting as a feature of the disease versus a sign of malingering is discussed. We then examine how the clinician can use the clinical interview (e.g., SIRS, CAPS), psychometric testing, and the patient's physiological responses to detect malingering. Particular attention is paid to research on the MMPI and the subscales of infrequency (F), infrequency-psychopathology (Fp), and infrequency-posttraumatic stress disorder (Fptsd). Research and questions regarding the accuracy of self-report questionnaires, specifically the Mississippi Scale (MSS) and the Personality Assessment Inventory (PAI), are examined. Validity, usability, and cutoff values for other psychometric tests, checklists, and physiological tests are discussed. The review includes a case, which shows how an individual used symptom checklist information to malinger PTSD and the inconsistencies in his story that the evaluator detected. We conclude with a discussion regarding future diagnostic criteria and suggestions for research, including a systematic multifaceted approach to identify malingering.

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Year:  2007        PMID: 17456103     DOI: 10.1111/j.1556-4029.2007.00434.x

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  9 in total

1.  Competing Constructivisms: The Negotiation of PTSD and Related Stigma Among Post-9/11 Veterans in New York City.

Authors:  Luther Elliott; Alexander S Bennett; Kelly Szott; Andrew Golub
Journal:  Cult Med Psychiatry       Date:  2018-12

Review 2.  Multimodal approach to identifying malingered posttraumatic stress disorder: a review.

Authors:  Shahid Ali; Shagufta Jabeen; Farzana Alam
Journal:  Innov Clin Neurosci       Date:  2015 Jan-Feb

3.  Psychometric Performance of the Miller Forensic Assessment of Symptoms Test (M-FAST) in Veteran PTSD Assessment.

Authors:  Erika J Wolf; Stephanie Ellickson-Larew; Rachel E Guetta; Shaline Escarfulleri; Karen Ryabchenko; Mark W Miller
Journal:  Psychol Inj Law       Date:  2020-04-15

4.  Over-Reporting of Somatic and Psychiatric PTSD Symptoms Among People Who Experienced Motor Vehicle Accidents and Did Not Seek Psychiatric Help in a Primary Care Setting.

Authors:  Semion Kertzman; Michael Vainder; Baruch Spivak; Yosi Goclaw; Uri Markman; Abraham Weizman; Marina Kupchik
Journal:  Psychol Res Behav Manag       Date:  2022-05-30

Review 5.  Identifying and Managing Malingering and Factitious Disorder in the Military.

Authors:  Sebastian Schnellbacher; Heather O'Mara
Journal:  Curr Psychiatry Rep       Date:  2016-11       Impact factor: 5.285

6.  Psychotherapeutic and adjunctive pharmacologic approaches to treating posttraumatic stress disorder.

Authors:  Carolina D Nisenoff
Journal:  Psychiatry (Edgmont)       Date:  2008-07

7.  Empirical Scenarios of Fake Data Analysis: The Sample Generation by Replacement (SGR) Approach.

Authors:  Massimiliano Pastore; Massimo Nucci; Andrea Bobbio; Luigi Lombardi
Journal:  Front Psychol       Date:  2017-04-19

Review 8.  Behavioral, Physiological and EEG Activities Associated with Conditioned Fear as Sensors for Fear and Anxiety.

Authors:  Jui-Hong Chien; Luana Colloca; Anna Korzeniewska; Timothy J Meeker; O Joe Bienvenu; Mark I Saffer; Fred A Lenz
Journal:  Sensors (Basel)       Date:  2020-11-26       Impact factor: 3.576

9.  The Effect of Faking on the Correlation Between Two Ordinal Variables: Some Population and Monte Carlo Results.

Authors:  Marco Bressan; Yves Rosseel; Luigi Lombardi
Journal:  Front Psychol       Date:  2018-10-12
  9 in total

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