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This article is a preprint and has not been certified by peer review [What does this mean?].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 nursesPersistent Identifier
Date of first publication
2019
Publisher
PsychArchives
Is version of
Citation
-
Main_relecture_anglais_PM_edited_finalpsycharchives.pdfAdobe PDF - 553.5KBMD5: 61968c6549440b79b5975ff71871a280Description: Preprint
-
There are no other versions of this object.
-
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 timestamp2019-12-04T15:08:27Z
-
Made available on2019-12-04T15:08:27Z
-
Date of first publication2019
-
Abstract / DescriptionBackground: 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 statusother
-
Review statusnotReviewed
-
SponsorshipPHRC 2006-R 1904 and Traumapsy Associationen_US
-
Persistent Identifierhttps://hdl.handle.net/20.500.12034/2274
-
Persistent Identifierhttps://doi.org/10.23668/psycharchives.2659
-
Language of contentengen_US
-
PublisherPsychArchivesen_US
-
Is version ofhttps://doi.org/10.1097/JTN.0000000000000638
-
Keyword(s)PTSDen_US
-
Keyword(s)primary careen_US
-
Keyword(s)traumaen_US
-
Keyword(s)clinical trialsen_US
-
Keyword(s)stressen_US
-
Keyword(s)nursesen_US
-
Dewey Decimal Classification number(s)150
-
TitleFour Questions to Predict PTSD One Year After a Motor Vehicle Accidenten_US
-
DRO typepreprinten_US