Department of Occupational Therapy, College of Public Health & Health Professions, University of Florida, Florida, US.
Veteran Rural Health Resource Center, Gainesville (VRHRC-GNV), Florida, US.
Brain Inj. 2022 Jul 3;36(8):1000-1009. doi: 10.1080/02699052.2022.2105952. Epub 2022 Aug 2.
To examine return to school outcomes 1 year after traumatic brain injury (TBI) rehabilitation discharge.
Longitudinal observational study using Traumatic Brain Injury Model Systems National Database (TBIMS-NDB) data at 1-year post-TBI.
Inpatient rehabilitation centers using follow-up telephone calls.
Individuals ( = 237) enrolled in the TBIMS-NDB since 2001 between the ages of 18 and 59 years who were engaged in postsecondary education (full or part-time) before recorded TBI.
Return to school, categorized as in a postsecondary setting at first follow-up (reported hours in school greater than zero at one-year follow-up).
Using an alpha level of 0.05 binary logistic regression analysis identified four predictive variables. Significant predictors of return to school include being of lower age, possessing a higher level of functioning at discharge, reporting lower ratings of disability at discharge, and being able to use a vehicle independently for transportation.
Pursuit of higher education is a viable means of community reintegration after TBI. Some individuals with TBI face a myriad of barriers and challenges when returning to school. Study findings may facilitate understanding of how TBI affects return to school and community reintegration outcomes.
探讨创伤性脑损伤(TBI)康复出院后 1 年的返校结果。
使用创伤性脑损伤模型系统国家数据库(TBIMS-NDB)在 TBI 后 1 年进行的纵向观察性研究。
使用后续电话随访的住院康复中心。
自 2001 年以来,年龄在 18 至 59 岁之间、在记录 TBI 之前接受过中学后教育(全日制或非全日制)的个体(=237)参加了 TBIMS-NDB。
返校情况,以第一次随访时在中学后环境中为分类(在一年随访时报告的在校时间大于零)。
使用 0.05 的 alpha 水平二元逻辑回归分析确定了四个预测变量。返校的显著预测因素包括年龄较低、出院时功能水平较高、出院时残疾程度评分较低以及能够独立使用交通工具进行交通。
追求高等教育是 TBI 后社区重新融入的一种可行方式。一些 TBI 患者在重返学校时面临着许多障碍和挑战。研究结果可能有助于了解 TBI 如何影响返校和社区重新融入的结果。