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Article Dans Une Revue Journal of Trauma Nursing Année : 2022

Four Questions Nurses Can Ask to Predict PTSD 1 Year After a Motor Vehicle Crash.

Résumé

BACKGROUND: The role of nurses in screening for posttraumatic stress disorder is crucial in trauma units. OBJECTIVES: To create and evaluate an easy and brief tool for nurses to predict chronic posttraumatic stress disorder 1 year after a motor vehicle crash. METHODS: We performed a 1-year follow-up multicenter study from 2007 to 2015, including 274 patients injured in a motor vehicle crash who were hospitalized in an orthopedic trauma unit. Nurses administered the DEPITAC questionnaire. Posttraumatic stress disorder was measured by the Post-Traumatic Stress Disorder Checklist of symptoms during the first year following the crash. A multivariable logistic regression model was implemented to select items significantly associated with posttraumatic stress disorder to improve the DEPITAC questionnaire. Predictive performance to predict posttraumatic stress disorder 1 year after the motor vehicle crash was examined for these different models. RESULTS: Of 274 patients studied, a total of 75.9% completed the questionnaire at 1 year of follow-up. We found that only two questions and two simple elements of the patient's medical record (other injury or a person dying during the crash, perception of vital threat, number of children, and length of stay in trauma) predicted posttraumatic stress disorder 1 year after a motor vehicle crash. CONCLUSIONS: The brevity of this evaluation, simple scoring rules, and screening test performance suggest that this new screening tool can be easily administered in the acute care setting by nurses.
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Dates et versions

hal-04562461 , version 1 (29-04-2024)

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Arnaud Leroy, Olivier Cottencin, Julien Labreuche, Marie-Atéa de Pourtales, Sylvie Molenda, et al.. Four Questions Nurses Can Ask to Predict PTSD 1 Year After a Motor Vehicle Crash.. Journal of Trauma Nursing, 2022, Journal of Trauma Nursing, 29, pp.70-79. ⟨10.1097/JTN.0000000000000638⟩. ⟨hal-04562461⟩

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