Preprint

Four Questions to Predict PTSD One Year After a Motor Vehicle Accident

This article is a preprint and has not been certified by peer review [What does this mean?].

Author(s) / Creator(s)

Leroy, Arnaud
Cottencin, Olivier
Labreuche, Julien
Mascarel, Pauline
De Pourtales, Marie-Atéa
Molenda, Sylvie
Brelinski-Biencourt, Lucie
Paget, Virgine
Lemogne, Cédric
Bougerolf, Thierry
Gregory, Thomas
Chantelot, Christophe
Thery, Dominique
Cordonnier, Denis
Berger, Michel
Demarty, Anne-Laure
Meyer, Samantha
Warembourg, Frédérique
Duhem, Stephane
Vaiva, Guillaume

Abstract / Description

Background: To create and evaluate an easy and brief validated tool for use by nurses to predict chronic PTSD 1 year after a motor vehicle accident. Methods: We performed a multicentre study including patients injured in a motor vehicle accident who were hospitalized in an Orthopaedic Trauma Unit. A nurse administered the DEPITAC questionnaire and the Peritraumatic Distress Inventory (PDI). PTSD was measured by the PTSD Check List of symptoms during the first year following the accident. Results: The median AUC to predict PTSD in the first year for the 10-item DEPITAC score across the 10 imputed datasets was 0.623 (0.605 to 0.633). We found that only 2 questions and 2 simple elements of the patient’s medical record (other injury or a person dying during the accident, perception of vital threat, number of children, length of stay in trauma) predicted PTSD 1 year after a motor vehicle accident (Se=91.9% (86.9 to 96.9), Sp=88.9% (83.8 to 94.1), AUC=0.674 (0.661 to 0.683)). Limitations: We were unable to collect complete data from 66 patients at 1 year. Conclusions: We propose 4 questions to teach nurses to screen for the risk of PTSD after a motor vehicle accident. These questions could help to identify patients who could benefit from early interventions to prevent PTSD.

Keyword(s)

PTSD primary care trauma clinical trials stress nurses

Persistent Identifier

Date of first publication

2019

Publisher

PsychArchives

Is version of

Citation

  • Author(s) / Creator(s)
    Leroy, Arnaud
  • Author(s) / Creator(s)
    Cottencin, Olivier
  • Author(s) / Creator(s)
    Labreuche, Julien
  • Author(s) / Creator(s)
    Mascarel, Pauline
  • Author(s) / Creator(s)
    De Pourtales, Marie-Atéa
  • Author(s) / Creator(s)
    Molenda, Sylvie
  • Author(s) / Creator(s)
    Brelinski-Biencourt, Lucie
  • Author(s) / Creator(s)
    Paget, Virgine
  • Author(s) / Creator(s)
    Lemogne, Cédric
  • Author(s) / Creator(s)
    Bougerolf, Thierry
  • Author(s) / Creator(s)
    Gregory, Thomas
  • Author(s) / Creator(s)
    Chantelot, Christophe
  • Author(s) / Creator(s)
    Thery, Dominique
  • Author(s) / Creator(s)
    Cordonnier, Denis
  • Author(s) / Creator(s)
    Berger, Michel
  • Author(s) / Creator(s)
    Demarty, Anne-Laure
  • Author(s) / Creator(s)
    Meyer, Samantha
  • Author(s) / Creator(s)
    Warembourg, Frédérique
  • Author(s) / Creator(s)
    Duhem, Stephane
  • Author(s) / Creator(s)
    Vaiva, Guillaume
  • PsychArchives acquisition timestamp
    2019-12-04T15:08:27Z
  • Made available on
    2019-12-04T15:08:27Z
  • Date of first publication
    2019
  • Abstract / Description
    Background: To create and evaluate an easy and brief validated tool for use by nurses to predict chronic PTSD 1 year after a motor vehicle accident. Methods: We performed a multicentre study including patients injured in a motor vehicle accident who were hospitalized in an Orthopaedic Trauma Unit. A nurse administered the DEPITAC questionnaire and the Peritraumatic Distress Inventory (PDI). PTSD was measured by the PTSD Check List of symptoms during the first year following the accident. Results: The median AUC to predict PTSD in the first year for the 10-item DEPITAC score across the 10 imputed datasets was 0.623 (0.605 to 0.633). We found that only 2 questions and 2 simple elements of the patient’s medical record (other injury or a person dying during the accident, perception of vital threat, number of children, length of stay in trauma) predicted PTSD 1 year after a motor vehicle accident (Se=91.9% (86.9 to 96.9), Sp=88.9% (83.8 to 94.1), AUC=0.674 (0.661 to 0.683)). Limitations: We were unable to collect complete data from 66 patients at 1 year. Conclusions: We propose 4 questions to teach nurses to screen for the risk of PTSD after a motor vehicle accident. These questions could help to identify patients who could benefit from early interventions to prevent PTSD.
    en_US
  • Publication status
    other
  • Review status
    notReviewed
  • Sponsorship
    PHRC 2006-R 1904 and Traumapsy Association
    en_US
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/2274
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.2659
  • Language of content
    eng
    en_US
  • Publisher
    PsychArchives
    en_US
  • Is version of
    https://doi.org/10.1097/JTN.0000000000000638
  • Keyword(s)
    PTSD
    en_US
  • Keyword(s)
    primary care
    en_US
  • Keyword(s)
    trauma
    en_US
  • Keyword(s)
    clinical trials
    en_US
  • Keyword(s)
    stress
    en_US
  • Keyword(s)
    nurses
    en_US
  • Dewey Decimal Classification number(s)
    150
  • Title
    Four Questions to Predict PTSD One Year After a Motor Vehicle Accident
    en_US
  • DRO type
    preprint
    en_US