The Behavioral Assessment Screening Tool for Mobile Health (BASTmHealth): Development and Compliance in 2 Weeks of Daily Reporting in Chronic Traumatic Brain Injury.
Shannon B Juengst, Brittany Wright, Angelle M Sander and 3 others
PMID 35964700WHAT IT FOUND
Most people with chronic TBI completed daily symptom reports via text message over two weeks, with 96.7% compliance among those who finished.
The tool was rated easy to use, but those who dropped out had more severe symptoms.
Key findings
01Participants with a lifetime history of TBI who completed the two-week assessment showed higher compliance (96.7%) than those without a TBI history (91.8%).
02Participants who did not complete the two-week repeated measures reported more frequent neurobehavioral symptoms at baseline than those who did complete the study.
03The BAST mHealth subscale for Negative Affect failed to show statistically significant differences between those with and without TBI, likely because the two items selected were not sensitive enough to capture the range of emotions.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
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What it does not show
The sample was highly educated (76.6% held a college degree) and recruited entirely online, which may skew results toward those who are more technology-literate and less representative of the broader TBI population. Eight participants (12.5%) dropped out before completing the repeated measures; these individuals all had a history of TBI and reported more frequent symptoms at baseline, suggesting the tool may be least feasible for those with the most severe needs. The study did not validate the responsiveness of the tool to change over time, nor did it determine what score threshold should trigger clinical intervention. The Negative Affect subscale failed to distinguish between TBI and non-TBI groups, indicating the two-item short form may be insufficient for this domain.
Declared interests
The study was supported by the National Institute of Health (Extramural). No other conflicts of interest are reported in the provided text.
The easy way to misread this
Do not assume this tool is ready for clinical diagnosis or that it works equally well for all patients. The study was a feasibility pilot, not a validation of diagnostic accuracy, and the participants who dropped out had the most severe symptoms, meaning the tool's performance in high-need patients is unproven.