Rasch analysis of the Behavioral Assessment Screening Tool (BAST) in chronic traumatic brain injury

Associations of Nightmares and Sleep Disturbance With Neurobehavioral Symptoms Postconcussion

OBJECTIVE

This study investigates the association of nightmares beyond general sleep disturbance on neurobehavioral symptoms in adults with mild traumatic brain injury (mTBI).

DESIGN

Secondary analysis of a concussion cohort study.

PARTICIPANTS

One hundred and eleven adults older than 20 years with mTBI were recruited from a specialized concussion treatment center.

MAIN MEASURES

Behavioral Assessment Screening Tool, Pittsburgh Sleep Quality Index, and self-report of nightmare frequency in the past 2 weeks.

RESULTS

Among adults with mTBI, nightmares accounted for the greatest amount of variability in negative affect (β = .362, P < .001), anxiety (β = .332, P < .001), and impulsivity (β = .270, P < .001) after adjusting for age and sex. Overall sleep disturbance had the strongest association with depression (β = .493, P < .001), fatigue (β = .449, P < .001), self-reported executive dysfunction (β = .376, P < .001), and overall burden from concussive symptoms (β = .477, P < .001).

CONCLUSIONS

Nightmares and sleep disturbance are differentially associated with variance in neurobehavioral symptoms. Nightmares were independently associated with neurobehavioral symptoms representing an excess of normal functioning (eg, anxiety, impulsivity), while general sleep disturbance was associated with neurobehavioral symptoms representing functioning below normal levels (eg, depression, fatigue, self-reported executive dysfunction). Clinical and research implications are discussed.

Emotional, Behavioral, and Cognitive Symptom Associations With Community Participation in Chronic Traumatic Brain Injury

OBJECTIVES

To determine the association between self-reported emotional and cognitive symptoms and participation outcomes in chronic traumatic brain injury (TBI) and to explore the relative contribution of self-reported versus performance-based cognition to participation outcomes.

SETTING

Community.

PARTICIPANTS

Community-dwelling adults ( n = 135) with a lifetime history of mild to severe TBI.

DESIGN

Secondary analysis of a cross-sectional study on neurobehavioral symptoms in chronic TBI.

MAIN MEASURES

Behavioral Assessment Screening Tool (BAST) (Negative Affect, Fatigue, Executive Dysfunction, Impulsivity, Substance Abuse subscales) measured self-reported neurobehavioral symptoms; Participation Assessment with Recombined Tools (Productivity, Social Relations, and Out and About) measured self-reported participation outcomes; and Brief Test of Adult Cognition by Telephone (BTACT) measured performance-based cognition (Episodic Memory and Executive Function summary scores) in a subsample ( n = 40).

RESULTS

The BAST Executive Dysfunction was significantly associated with less frequent participation and had the strongest effect on participation in all participation domains. No other BAST subscales were associated with participation, after adjusting for all subscale scores and age, with the exception of BAST Impulsivity, which was associated with more frequent Social Relationships. Exploratory analysis in the sample including the BTACT revealed that, after accounting for subjective Executive Dysfunction using the BAST, performance-based Executive Function was associated with Productivity and Working Memory was associated with Social Relations, but neither was associated with being Out and About; the BAST Executive Dysfunction remained significant in all models even after including BTACT scores.

CONCLUSIONS

Self-reported Executive Dysfunction contributed to participation outcomes after mild to severe TBI in community-dwelling adults, whereas self-reported emotional and fatigue symptoms did not. Performance-based cognition measures may capture different variability in participation after injury.

Convergent, discriminant, and known groups validity of the Behavioral Assessment Screening Tool (BAST) in chronic traumatic brain injury

The Behavioral Assessment Screening Tool (BAST) measures self-reported neurobehavioral symptoms commonly experienced by adults with traumatic brain injury (TBI). To assess the convergent, discriminant, and known-groups validity of the BAST among community-dwelling adults with chronic traumatic brain injury (TBI), we conducted correlation analyses and tests of group differences with previously validated symptom measures in two samples (n = 111, n = 134). Measures used for comparison were: Patient Health Questionnaire (depression), Generalized Anxiety Disorder-7 (anxiety), Positive and Negative Affect Schedule, Frontal Systems Behavior Scale (Executive Dysfunction, Apathy, Disinhibition), Modified Fatigue Impact Scale, PROMIS Fatigue, Aggression Questionnaire (anger, hostility, physical and verbal aggression), and Alcohol Use Disorders Test (alcohol misuse). BAST subscales had stronger correlations with measures of similar (|r|=.602-.828, p < .001) and related (|r|>.30, p < .001) constructs and weaker correlations (|r|<.300) with measures of dissimilar/unrelated constructs, supporting hypotheses of convergent and discriminant validity, respectively. Statistically significant group differences (p's < .001) in BAST subscales were found, with large effect sizes (Cohen's d = 1.2-1.9), for known-groups with moderate-severe depression, moderate-severe anxiety, clinically significant fatigue, problematic disinhibited and frontal-executive behaviors, and alcohol use.

Conclusions

Results support the convergent and discriminant validity of the BAST subscales. The BAST was specifically developed as a self-reported measure for remote symptom reporting, supporting its incorporation into mobile health platforms to improve chronic symptom monitoring in community-dwelling adults with TBI. With further validation research, the BAST could be used for early identification of persons with TBI who could benefit from intervention.

The Behavioral Assessment Screening Tool for Mobile Health (BASTmHealth): Development and Compliance in 2 Weeks of Daily Reporting in Chronic Traumatic Brain Injury

OBJECTIVES

To develop and evaluate the feasibility of a short form of the Behavioral Assessment Screening Tool (BASTmHealth) for high frequency in situ self-reported assessment of neurobehavioral symptoms using mobile health technology for community-dwelling adults with traumatic brain injury (TBI).

DESIGN

Prospective, repeated-measures study of mHealth assessment of self-reported neurobehavioral symptoms in adults with and without a lifetime history of TBI over a 2-week period.

SETTING

Community.

PARTICIPANTS

Community-dwelling adults with (n=52) and without (n=12) a lifetime TBI history consented to the study (N=64).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

BASTmHealth subscales (2-items each): negative affect, fatigue, executive function, substance abuse, impulsivity; feasibility measured via compliance (assessments assigned/assessments completed) and participant-reported usability.

RESULTS

We developed the 10-item BASTmHealth as a screener for high frequency in situ self-reported assessment of neurobehavioral symptoms leveraging mHealth. Compliance for 2 weeks of BASTmHealth supports its feasibility. Fifty-six of 64 participants (87.5%) who completed baseline assessments completed the 2 weeks of daily assessments; all 8 participants who did not complete ecological momentary assessment had a history of TBI. Overall compliance was 81.4% (496 completed of 609 assigned assessments) among all 52 participants with TBI and 96.7% (494 completed of 511 assigned assessments) among the 44 who completed any daily measures, compared with 91.8% (135 completed of 147 assigned assessments) among those with no TBI history. Participants thought the daily surveys were easy to understand and complete and the number of prompts were reasonable.

CONCLUSIONS

Conducting daily high-frequency in situ self-reported assessment of neurobehavioral symptoms using the BASTmHealth is feasible among individuals with and without a lifetime history of TBI. Developing and evaluating self-reported assessments for community-based assessment is a critical step toward expanding remote clinical monitoring systems to improve post-TBI outcomes.

Neurobehavioral Symptoms and Heart Rate Variability: Feasibility of Remote Collection Using Mobile Health Technology

OBJECTIVES

To determine the covariance of heart rate variability (HRV) and self-reported neurobehavioral symptoms after traumatic brain injury (TBI) collected using mobile health (mHealth) technology.

SETTING

Community.

PARTICIPANTS

Adults with lifetime history of TBI (n = 52) and adults with no history of brain injury (n = 12).

DESIGN

Two-week prospective ecological momentary assessment study.

MAIN MEASURES

Behavioral Assessment Screening Tool (BASTmHealth) subscales (Negative Affect, Fatigue, Executive Dysfunction, Substance Abuse, and Impulsivity) measured frequency of neurobehavioral symptoms via a RedCap link sent by text message. Resting HRV (root mean square of successive R-R interval differences) was measured for 5 minutes every morning upon waking using a commercially available heart rate monitor (Polar H10, paired with Elite HRV app).

RESULTS

Data for n = 48 (n = 38 with TBI; n = 10 without TBI) participants were included in covariance analyses, with average cross-correlation coefficients (0-day lag) varying greatly across participants. We found that the presence and direction of the relationship between HRV and neurobehavioral symptoms varied from person to person. Cross-correlation coefficients r ≤ -0.30, observed in 27.1% to 29.2% of participants for Negative Affect, Executive Dysfunction, and Fatigue, 22.9% of participants for Impulsivity, and only 10.4% of participants for Substance Abuse, supported our hypothesis that lower HRV would covary with more frequent symptoms. However, we also found 2.0% to 20.8% of participants had positive cross-correlations (r ≥ 0.30) across all subscales, indicating that higher HRV may sometimes correlate with more neurobehavioral symptoms, and 54.2% to 87.5% had no significant cross-correlations.

CONCLUSIONS

It is generally feasible for community-dwelling adults with and without TBI to use a commercially available wearable device to capture daily HRV measures and to complete a short, electronic self-reported neurobehavioral symptom measure for a 2-week period. The covariance of HRV and neurobehavioral symptoms over time suggests that HRV could be used as a relevant physiological biomarker of neurobehavioral symptoms, though how it would be interpreted and used in practice would vary on a person-by-person and symptom domain basis and requires further study.