The landscape of work engagement in brain injury rehabilitation /

This study examined work engagement among brain injury rehabilitation professionals with specific attention to how they engage with their work (the extent to which they experience vigor, dedication, and absorption while working) and how they engage with people (the degree to which they are welcoming towards others and demonstrate integrity, responsibility, transparency). This study also tested a theoretical model of work engagement that predicted a relationship between engagement and personal, interpersonal, and organizational capacity. Eighty-one staff employed in a hospital-based brain injury program participated in the study. A quantitative self-report survey was used to measure participants' levels of capacity and engagement and a qualitative question was included to identify initiatives that could be introduced to enhance job performance. As predicted by the model, there were statistically significant positive correlations among all three capacity variables and engagement with work and statistically significant positive correlations between ethical engagement and personal and interpersonal capacity. The results of the qualitative data analysis revealed three broad categories of recommendations for improving job performance (more learning opportunities, more resources to support professional development, and the need to build greater team cohesion). These findings provide initial support for a theoretical model that emphasizes the link between capacity and engagement, which could be used to guide theory-driven interventions aimed at improving the work environment.

Sleep and information processing in individuals who have sustained a traumatic brain injury

Individuals who have sustained a traumatic brain injury (TBI) often complain of t roubl e sleeping and daytime fatigue but little is known about the neurophysiological underpinnings of the s e sleep difficulties. The fragile sleep of thos e with a TBI was predicted to be characterized by impairments in gating, hyperarousal and a breakdown in sleep homeostatic mechanisms. To test these hypotheses, 20 individuals with a TBI (18- 64 years old, 10 men) and 20 age-matched controls (18-61 years old, 9 men) took part in a comprehensive investigation of their sleep. While TBI participants were not recruited based on sleep complaint, the fmal sample was comprised of individuals with a variety of sleep complaints, across a range of injury severities. Rigorous screening procedures were used to reduce potential confounds (e.g., medication). Sleep and waking data were recorded with a 20-channel montage on three consecutive nights. Results showed dysregulation in sleep/wake mechanisms. The sleep of individuals with a TBI was less efficient than that of controls, as measured by sleep architecture variables. There was a clear breakdown in both spontaneous and evoked K-complexes in those with a TBI. Greater injury severities were associated with reductions in spindle density, though sleep spindles in slow wave sleep were longer for individuals with TBI than controls. Quantitative EEG revealed an impairment in sleep homeostatic mechanisms during sleep in the TBI group. As well, results showed the presence of hyper arousal based on quantitative EEG during sleep. In wakefulness, quantitative EEG showed a clear dissociation in arousal level between TBls with complaints of insomnia and TBls with daytime fatigue. In addition, ERPs indicated that the experience of hyper arousal in persons with a TBI was supported by neural evidence, particularly in wakefulness and Stage 2 sleep, and especially for those with insomnia symptoms. ERPs during sleep suggested that individuals with a TBI experienced impairments in information processing and sensory gating. Whereas neuropsychological testing and subjective data confirmed predicted deficits in the waking function of those with a TBI, particularly for those with more severe injuries, there were few group differences on laboratory computer-based tasks. Finally, the use of correlation analyses confirmed distinct sleep-wake relationships for each group. In sum, the mechanisms contributing to sleep disruption in TBI are particular to this condition, and unique neurobiological mechanisms predict the experience of insomnia versus daytime fatigue following a TBI. An understanding of how sleep becomes disrupted after a TBI is important to directing future research and neurorehabilitation.