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Published on: October 5, 2020
Variability of the Behavioral Assessment Screening Tool for Mobile Health Using Ecological Momentary Assessment in
Lauren Terhorst1, Shannon B Juengst2
1Department of Occupational Therapy, School of Health and Rehabilitation Sciences Data Center, University of Pittsburgh, Pittsburgh, PA.
Summary
The Behavioral Assessment Screening Tool for Mobile Health (BASTmHealth) effectively captures symptom variability in individuals with chronic traumatic brain injury (TBI). Prompting schedules impact variability detection, aiding in personalized TBI symptom management.
Area of Science:
- Neuroscience
- Psychiatry
- Digital Health
Background:
- Chronic traumatic brain injury (TBI) often leads to persistent behavioral and emotional symptoms.
- Understanding the day-to-day variability of these symptoms is crucial for effective management and treatment.
- Existing assessment methods may not fully capture the dynamic nature of post-TBI symptoms.
Purpose of the Study:
- To describe the variability of self-reported behavioral symptoms over a 2-week period in individuals with chronic TBI.
- To evaluate the effectiveness of different mobile health prompting schedules in capturing symptom variability.
- To identify patterns or clusters of symptom reporting in the TBI population.
Main Methods:
- Secondary analysis of data from a feasibility study using the Behavioral Assessment Screening Tool for Mobile Health (BASTmHealth).
- Inclusion of 44 community-dwelling adults with a history of TBI.
- High-frequency, in situ, repeated-measures design over a 14-day period.
Main Results:
- The 'Every Other Day Scheduled' prompt captured the most between-day variability in behavioral symptoms compared to 'Daily Random' and 'Daily Scheduled' prompts.
- All tested prompting schedules captured within-person variability over the 14-day assessment period.
- Three distinct clusters of symptom reporters were identified: psychiatric, cognitive, and steady.
Conclusions:
- The BASTmHealth tool is capable of capturing and evaluating variability in self-reported emotional and behavioral symptoms within and between individuals post-TBI.
- Understanding individual symptom fluctuations can inform and guide treatment interventions.
- BASTmHealth shows promise as a valuable, evidence-based tool for clinical monitoring and evaluating post-TBI symptoms in research and practice.
