Predicting self-reported recovery one year after major road traffic accident trauma - Archive ouverte HAL
Article Dans Une Revue Journal of Rehabilitation Medicine Année : 2011

Predicting self-reported recovery one year after major road traffic accident trauma

Résumé

Objective: The aim of this study was to examine the selfreported health status of road traffic accident victims and the predictors of self-assessed recovery 1 year after major trauma in a French population. Design: A follow-up study. Methods: The cohort comprised 276 seriously injured victims of road traffic accidents, aged > 16 years from the Rhône administrative department, France. Victim characteristics at the time of the crash and self-reported health status 1 year after trauma were collected. Predictive factors for self-assessed recovery were examined using a Poisson regression approach. Results: The majority of victims were male (76%); most had severe injuries (76%), involving mainly the lower limbs and the head (68% and 55%, respectively). At 1-year follow-up, 80% reported being not fully recovered. Self-reported health status was not significantly associated with age, gender, being in employment, type of road user, or health status during the year preceding the accident, but rather with low socioeconomic status, high injury severity, and presence of lower limb injury. Conclusion: Care for subjects who are at high risk of not fully recovering (manual workers, the very seriously injured, and those with lower limb injury) needs to be extended and improved. Longer follow-up studies on the risk factors for not fully recovering are needed in order to reduce harmful consequences for victims.
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Dates et versions

hal-00988253 , version 1 (07-05-2014)

Identifiants

  • HAL Id : hal-00988253 , version 1

Citer

Hoang-Thy Nhac-Vu, Martine Hours, Pierrette Charnay, Laetitia Chossegros, Dominique Boisson, et al.. Predicting self-reported recovery one year after major road traffic accident trauma. Journal of Rehabilitation Medicine, 2011, 43 (9), pp. 776-782. ⟨hal-00988253⟩
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