Objective: To identify factors associated with treatment response to cognitive behavioral therapy for sleep disturbance and fatigue (CBT-SF) after acquired brain injury (ABI).
Setting: Community dwelling.
Participants: Thirty participants with a traumatic brain injury or stroke randomized to receive CBT-SF in a parent randomized controlled trial.
Design: Participants took part in a parallel-groups, parent randomized controlled trial with blinded outcome assessment, comparing an 8-week CBT-SF program with an attentionally equivalent health education control. They were assessed at baseline, post-treatment, 2 months post-treatment, and 4 months post-treatment. The study was completed either face-to-face or via telehealth (videoconferencing). Following this trial, a secondary analysis of variables associated with treatment response to CBT-SF was conducted, including: demographic variables; injury-related variables; neuropsychological characteristics; pretreatment sleep disturbance, fatigue, depression, anxiety and pain; and mode of treatment delivery (face-to-face or telehealth).
Main measures: Pittsburgh Sleep Quality Index (PSQI) and Fatigue Severity Scale (FSS).
Results: Greater treatment response to CBT-SF at 4-month follow-up was associated with higher baseline sleep and fatigue symptoms. Reductions in fatigue on the FSS were also related to injury mechanism, where those with a traumatic brain injury had a more rapid and short-lasting improvement in fatigue, compared with those with stroke, who had a delayed but longer-term reduction in fatigue. Mode of treatment delivery did not significantly impact CBT-SF outcomes.
Conclusion: Our findings highlight potential differences between fatigue trajectories in traumatic brain injury and stroke, and also provide preliminary support for the equivalence of face-to-face and telehealth delivery of CBT-SF in individuals with ABI.
Objective: To evaluate predictors of performance validity testing (PVT) and clinical outcome in patients presenting to a specialty clinic with a mild traumatic brain injury (mTBI).
Setting: An outpatient mTBI specialty clinic.
Participants: Seventy-six (47% female) patients aged 16 to 66 (mean = 40.58, SD = 14.18) years within 3 to 433 days (mean = 30.63, SD = 54.88, median = 17.00) of a suspected mTBI between 2018 and 2019.
Design: A cross-sectional, observational study comparing patients who passed PVT (n = 43) with those who failed (n = 33). A logistic regression (LR) was conducted to evaluate factors that predicted failed PVT. Independent-samples t tests and general linear model were used to evaluate PVT groups on clinical outcomes. The LR with a receiver operating characteristic (ROC) curve was conducted to evaluate embedded validity indicators.
Main measures: Performance validity testing, computerized neurocognitive testing, vestibular/oculomotor screening, symptom reports.
Results: At their initial clinic visit 43% of patients failed PVT. PVT failure was predicted by presence of secondary gain (odds ratio [OR] = 8.11, P = .02), while a history of mental health predicted passing of PVT (OR = 0.29, P = .08). Those who failed PVT performed significantly worse on computerized neurocognitive testing (P < .05) and took an average of 33 days longer to return to work (P = .02). There was no significant difference (P = .20) in recovery time between failed/passed PVT groups when covarying for those who sustained a work injury. Word memory learning percentage less than 69% and design memory learning percentage less than 50% accurately classified patients who failed PVT (area under the ROC curve = 0.74; P < .001).
Conclusion: Secondary gain was the best predictor of failed PVT. Patients presenting for mTBI evaluation and rehabilitation who fail PVT demonstrate worse performance on cognitive testing and take longer to return to work post-injury, but recover in a similar time frame compared with those who pass PVT. Clinicians should be cautious in discounting patients who yield invalid test results, as these patients appear to be able to achieve recovery in a treatment setting.

