Matthew Schmidt1, Lynn Babcock, Brad G Kurowski, Amy Cassedy, Craig Sidol, Shari L Wade. 1. Educational Technology, College of Education, University of Florida, Gainesville (Dr Schmidt); Cincinnati Children's Hospital Medical Center (Drs Babcock, Kurowski, Cassedy, Sidol, and Wade), Division of Pediatric Rehabilitation Medicine (Drs Kurowski and Wade), and Departments of Pediatrics and Neurology and Rehabilitation Medicine (Dr Kurowski), University of Cincinnati College of Medicine, Cincinnati, Ohio.
Abstract
OBJECTIVE: To understand usage patterns of SMART (Self-Monitoring Activity Regulation and Relaxation Treatment) mHealth app among adolescents with acute mild traumatic brain injuries (mTBIs) and to identify individual characteristics that influenced app usage. SETTING: Emergency departments of tertiary care children's medical center. PARTICIPANTS: Children aged 11 to 18 years with mTBI in the past 2 weeks, English-speaking, no evidence of severe TBI, and no preexisting neurological impairment. DESIGN: Nested cohort of the intervention arm of a randomized clinical trial (n = 34). MHEALTH APP INTERVENTION: SMART was a month-long educational program on mTBI designed to promote self-monitoring and management of recovery. SMART included digital symptom and activity self-monitoring surveys, feedback on symptom changes, and 8 modules providing psychoeducation, strategies for symptom management, and training in active problem solving. MAIN MEASURES: App usage time, navigation, and interaction data were automatically collected. Usage involved inputting symptom ratings/activities and reviewing modules. Patterns of symptom/activity reporting and completion of learning modules data were analyzed. Predictors of app utilization, including individual characteristics, resilience (Connor-Davidson Resilience Scale), and coping (Coping Strategies Inventory-Short Form), were analyzed using Spearman correlations. RESULTS: Participants completed symptom monitoring an average of 9 days over the month. Participants completed an average of 1.87 learning modules out of 7. Parent income and education, comorbid attention-deficit/hyperactivity disorder (ADHD), and emotional engagement coping style predicted symptom monitoring. Parental income, comorbid ADHD, and greater reliance on emotional engagement coping predicted module completion. SIGNIFICANT ADVERSE EVENTS: None. CONCLUSION: Adolescents of higher socioeconomic status and those who manage their emotions using active engagement spent more time on both components of the SMART program.
OBJECTIVE: To understand usage patterns of SMART (Self-Monitoring Activity Regulation and Relaxation Treatment) mHealth app among adolescents with acute mild traumatic brain injuries (mTBIs) and to identify individual characteristics that influenced app usage. SETTING: Emergency departments of tertiary care children's medical center. PARTICIPANTS: Children aged 11 to 18 years with mTBI in the past 2 weeks, English-speaking, no evidence of severe TBI, and no preexisting neurological impairment. DESIGN: Nested cohort of the intervention arm of a randomized clinical trial (n = 34). MHEALTH APP INTERVENTION: SMART was a month-long educational program on mTBI designed to promote self-monitoring and management of recovery. SMART included digital symptom and activity self-monitoring surveys, feedback on symptom changes, and 8 modules providing psychoeducation, strategies for symptom management, and training in active problem solving. MAIN MEASURES: App usage time, navigation, and interaction data were automatically collected. Usage involved inputting symptom ratings/activities and reviewing modules. Patterns of symptom/activity reporting and completion of learning modules data were analyzed. Predictors of app utilization, including individual characteristics, resilience (Connor-Davidson Resilience Scale), and coping (Coping Strategies Inventory-Short Form), were analyzed using Spearman correlations. RESULTS: Participants completed symptom monitoring an average of 9 days over the month. Participants completed an average of 1.87 learning modules out of 7. Parent income and education, comorbid attention-deficit/hyperactivity disorder (ADHD), and emotional engagement coping style predicted symptom monitoring. Parental income, comorbid ADHD, and greater reliance on emotional engagement coping predicted module completion. SIGNIFICANT ADVERSE EVENTS: None. CONCLUSION: Adolescents of higher socioeconomic status and those who manage their emotions using active engagement spent more time on both components of the SMART program.
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