{"title":"Variability of the Behavioral Assessment Screening Tool for Mobile Health Using Ecological Momentary Assessment in Chronic Traumatic Brain Injury","authors":"Lauren Terhorst PhD , Shannon B. Juengst PhD","doi":"10.1016/j.arrct.2026.100624","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>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 (BAST<sub>mHealth</sub>) collected in a prior feasibility study.</div></div><div><h3>Design</h3><div>Secondary analysis of data collected from a prospective, high-frequency, in situ, repeated-measures design feasibility study of the BAST<sub>mHealth</sub>.</div></div><div><h3>Setting</h3><div>Community.</div></div><div><h3>Participants</h3><div>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).</div></div><div><h3>Interventions</h3><div>Not applicable.</div></div><div><h3>Main Outcome Measures</h3><div>Self-reported behavioral symptoms measured with the BAST<sub>mHealth</sub>.</div></div><div><h3>Results</h3><div>We found that the <em>Every Other Day Scheduled</em> prompts captured the most between-day variability in self-reported behavioral symptoms compared with the <em>Daily Random</em> and <em>Daily Scheduled</em> 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.</div></div><div><h3>Conclusions</h3><div>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 BAST<sub>mHealth</sub> may be a valuable, evidence-based tool and clinical monitoring system for evaluating post-TBI symptoms in both clinical and pragmatic trials.</div></div>","PeriodicalId":72291,"journal":{"name":"Archives of rehabilitation research and clinical translation","volume":"8 2","pages":"Article 100624"},"PeriodicalIF":2.0000,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of rehabilitation research and clinical translation","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590109526000418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/4/14 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"REHABILITATION","Score":null,"Total":0}
引用次数: 0
Abstract
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.