Impact of personal and environmental factors on employment outcome two years after moderate-to-severe traumatic brain injury

J Rehabil Med. 2013 Sep;45(8):801-7. doi: 10.2340/16501977-1168.

Abstract

Objectives: To describe employment outcomes and assess the impact of personal and environmental factors on employment outcomes 2 years after moderate-to-severe traumatic brain injury.

Design/subjects: A prospective cohort of 100 patients with moderate-to-severe traumatic brain injury, aged 16-55 years, hospitalized in a Trauma Referral Centre during the period 2005-2007 and followed up at 1 and 2 years post-injury.

Methods: Variables of interest were divided into personal and environmental factors. Personal factors include socio-demographics (age, gender, education, work demands, marital status and child-care). Environmental factors included social (support by friends), institutional (number of rehabilitation services, need for well-coordinated healthcare services), and physical (access to own transportation) factors. A multivariate logistic regression analysis was conducted with employment (working part-/full-time or studying) at 2-year follow-up as the dependent variable, and including independent variables based on significance from a univariate analysis, adjusting for injury severity.

Results: At the 2-year follow-up, 44% of patients were employed. Patients with less severe injuries (odds ratio (OR) = 1.2, p = 0.03), those supported by friends (OR = 3.5, p = 0.07), those not in need of well-coordinated health services (OR = 4.1, p = 0.04), and patients driving a vehicle at the 1-year follow-up (OR = 8.4, p < 0.001) were more likely to be employed at the 2-year follow-up.

Conclusion: Rehabilitation professionals should be aware of the role of environmental factors when planning vocational rehabilitation services after traumatic brain injury.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Brain Injuries / epidemiology*
  • Brain Injuries / rehabilitation
  • Cost of Illness
  • Employment / statistics & numerical data*
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Norway / epidemiology
  • Prospective Studies
  • Rehabilitation, Vocational / statistics & numerical data
  • Young Adult