Evidence map›Paper›PMID 27594113›Full record

ArticleStress (Amsterdam, Netherlands)2016

Beyond symptom self-report: use of a computer "avatar" to assess post-traumatic stress disorder (PTSD) symptoms.

Catherine E Myers, Milen L Radell, Christine Shind, Yasheca Ebanks-Williams, Kevin D Beck, Mark W Gilbertson

Abstract read
In one paragraph

Article in Stress (Amsterdam, Netherlands), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Post-traumatic Stress Disorder in Veterans: A Concept Analysis.Behavioral sciences (Basel, Switzerland) · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Catherine E Myersa Neurobehavioral Research Laboratory, Department of Veterans Affairs , VA New Jersey Health Care System , East Orange , NJ , USA.
Milen L Radella Neurobehavioral Research Laboratory, Department of Veterans Affairs , VA New Jersey Health Care System , East Orange , NJ , USA.
Christine Shinda Neurobehavioral Research Laboratory, Department of Veterans Affairs , VA New Jersey Health Care System , East Orange , NJ , USA.
Yasheca Ebanks-Williamsa Neurobehavioral Research Laboratory, Department of Veterans Affairs , VA New Jersey Health Care System , East Orange , NJ , USA.
Kevin D Becka Neurobehavioral Research Laboratory, Department of Veterans Affairs , VA New Jersey Health Care System , East Orange , NJ , USA.
Mark W Gilbertsonc Department of Veterans Affairs , Manchester , NH , USA.

Funding

Acquisition and Expression of Avoidance: Computational Modeling and Human StudiesI01CX000771 · VA · VA NEW JERSEY HEALTH CARE SYSTEM · PI MYERS, CATHERINE E · 2013 to 2016
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CSRD VA I01 CX000771
6 · The paper itself

Abstract

Post-traumatic stress disorder (PTSD) can occur in the wake of exposure to a traumatic event. Currently, PTSD symptoms are assessed mainly through self-report in the form of questionnaire or clinical interview. Self-report has inherent limitations, particularly in psychiatric populations who may have limited awareness of deficit, reduced attention span, or poor vocabulary and/or literacy skills. Diagnosis and evaluation of treatment efficacy would be aided by behavioral measures. A viable alternative may be virtual environments, in which the participant guides an on-screen "avatar" through a series of onscreen events meant to simulate real-world situations. Here, a sample of 82 veterans, self-assessed for PTSD symptoms was administered such a task, in which the avatar was confronted with situations that might evoke avoidant behavior, a core feature of PTSD. Results showed a strong correlation between PTSD symptom burden and task performance; in fact, the ability to predict PTSD symptom burden based on simple demographic variables (age, sex, combat exposure) was significantly improved by adding task score as a predictor variable. The results therefore suggest that virtual environments may provide a new way to assess PTSD symptoms, while avoiding at least some of the limitations associated with symptom self-report, and thus might be a useful complement to questionnaire or clinical interview, potentially facilitating both diagnosis and evaluation of treatment efficacy.

Indexed as

Virtual RealityCombat DisordersDiagnostic and Statistical Manual of Mental DisordersFemaleHumansInterview, PsychologicalMaleMiddle AgedSelf ReportStress Disorders, Post-TraumaticSurveys and QuestionnairesTreatment OutcomeVeteransanxietyassessment toolsavoidancebehavioral inhibitiondiagnosisPost-traumatic stress disordervirtual reality

Identifiers

PMID27594113
PMCPMC5102780

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.