Author :
Publisher :
ISBN 13 :
Total Pages : 85 pages
Book Rating : 4.:/5 (123 download)
Book Synopsis Return to School 1 Year After Traumatic Brain Injury by :
Download or read book Return to School 1 Year After Traumatic Brain Injury written by and published by . This book was released on 2020 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many individuals, recovery from moderate to severe brain injuries involves returning to a level of pre-injury productivity. Specifically, previous research has focused extensively on factors predicting return to employment, where students are inconsistently categorized with those in competitive employment. Moreover, research dedicated to return to school for students in secondary and tertiary education is largely qualitative; very few studies have utilized predictive modeling on a sample composed solely of students. For this study, a model including days of post-traumatic amnesia (PTA), length of stay (LOS), rehabilitation discharge Disability Rating Scale (DRS) scores, and educational level was used to predict return to school one year post-injury in a sample of 196 students within the Traumatic Brain Injury Model Systems National Database. For this sample, the overall return to school rate was 63.78%. Logistic regression results indicated that lower scores on the DRS and being in high school pre-injury resulted in the highest probabilities of returning to school one year post-injury. Results also suggested that for some, productivity post-injury was possible outside of the school setting, and for others, returning to school did not indicate long-term productivity, which highlights that productivity defined within a school setting and within a work setting may be somewhat distinct concepts. College students were much less likely to return to school within a year following injury than high school students. Consequently, more outreach and support for those students may improve awareness of disability services and heighten the return to school rate in the future. Further implications and suggestions by which to improve future models are discussed.