Archives of rehabilitation research and clinical translation · 2026
Variability of the Behavioral Assessment Screening Tool for Mobile Health Using Ecological Momentary Assessment in Chronic Traumatic Brain Injury.
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Terhorst Lauren, Juengst Shannon B
Аннотация
OBJECTIVE: To describe the variability of self-reported behavioral symptoms over a 2-week period in 44 individuals with chronic traumatic brain injury (TBI) using subscale scores from the Behavioral Assessment Screening Tool for Mobile Health (BASTmHealth) collected in a prior feasibility study.
DESIGN: Secondary analysis of data collected from a prospective, high-frequency, in situ, repeated-measures design feasibility study of the BASTmHealth.
SETTING: Community.
PARTICIPANTS: Forty-four (N=44) community-dwelling adults with a lifetime TBI history who completed at least 2 assessments. The sample had an average age of 43 years (SD, 14.4), consisted primarily of women (69.2%), and had an average time since the last TBI of 8.6 years (SD, 10).
INTERVENTIONS: Not applicable.
MAIN OUTCOME MEASURES: Self-reported behavioral symptoms measured with the BASTmHealth.
RESULTS: We found that the Every Other Day Scheduled prompts captured the most between-day variability in self-reported behavioral symptoms compared with the Daily Random and Daily Scheduled prompts, while all 3 prompting schedules captured within-person variability over a 14-day period. We identified 3 clusters of symptom reporters, which we labeled psychiatric, cognitive, and steady symptoms.
CONCLUSIONS: We were able to capture and evaluate variability in self-reported emotional and behavioral symptoms within and between individuals. Understanding individual symptom fluctuations may guide and evaluate treatment interventions. Thus, our results indicate that BASTmHealth may be a valuable, evidence-based tool and clinical monitoring system for evaluating post-TBI symptoms in both clinical and pragmatic trials.
DESIGN: Secondary analysis of data collected from a prospective, high-frequency, in situ, repeated-measures design feasibility study of the BASTmHealth.
SETTING: Community.
PARTICIPANTS: Forty-four (N=44) community-dwelling adults with a lifetime TBI history who completed at least 2 assessments. The sample had an average age of 43 years (SD, 14.4), consisted primarily of women (69.2%), and had an average time since the last TBI of 8.6 years (SD, 10).
INTERVENTIONS: Not applicable.
MAIN OUTCOME MEASURES: Self-reported behavioral symptoms measured with the BASTmHealth.
RESULTS: We found that the Every Other Day Scheduled prompts captured the most between-day variability in self-reported behavioral symptoms compared with the Daily Random and Daily Scheduled prompts, while all 3 prompting schedules captured within-person variability over a 14-day period. We identified 3 clusters of symptom reporters, which we labeled psychiatric, cognitive, and steady symptoms.
CONCLUSIONS: We were able to capture and evaluate variability in self-reported emotional and behavioral symptoms within and between individuals. Understanding individual symptom fluctuations may guide and evaluate treatment interventions. Thus, our results indicate that BASTmHealth may be a valuable, evidence-based tool and clinical monitoring system for evaluating post-TBI symptoms in both clinical and pragmatic trials.