Trial reportJournal of pediatric psychology2023
Findings from a Randomized Controlled Trial of SMART: An EHealth Intervention for Mild Traumatic Brain Injury.
Trial report in Journal of pediatric psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03498495 (Kids With mTBI Get SMART), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Kids With mTBI Get SMART: Development and Pilot Trial of a Web-Based Self-Monitoring Activity-Restriction and Relaxation Training Program
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Digital psychological interventions in youth with neurological disorders: a systematic review.Journal of pediatric psychology · 2026Pooled it
- Impact of Early Activity and Behavioral Management on Acute Concussion Recovery: A Randomized Controlled Trial.The Journal of pediatrics · 2025Trial
- Smartphone App-Delivered Mindfulness-Based Intervention for Concussion in Adolescents (MBI-4-mTBI): Feasibility Randomized Controlled Trial.JMIR rehabilitation and assistive technologies · 2026Article
- Review
- Meta-synthesis of rehabilitation experiences and needs of adolescent patients with mild traumatic brain injury.Frontiers in neurology · 2025Review
- Community-based digital mental health interventions for traumatic brain injury patients: A scoping review.PLOS mental health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveThe aim of this study was to examine the efficacy of the SMART (Self-Management After Recent Traumatic brain injury) program and potential moderators.
methodsParallel randomized controlled trial (ClinicalTrials.gov Identifier: NCT03498495) was conducted. Eligibility criteria included treatment for mild traumatic brain injury in the emergency department and age 11-18 years. Participants were assigned equally to SMART (n = 35) or usual care (UC; n = 36). SMART included symptom monitoring and online modules supporting the return to activities and symptom management. Coping and quality of life (QoL) (primary outcomes) and post-concussive symptoms (secondary outcome) were assessed at baseline and weekly for 4 weeks.
resultsGroups did not differ in coping, QoL, or return to pre-injury symptom levels at any time point. Problem-focused engagement (PFE) moderated group differences over time (p = .02). At high PFE, UC participants reported lower QoL at time 1 (effect size [ES] = 0.60); SMART participants did not report a decline at any point. At low PFE, SMART participants reported declining QoL from pre-injury to time 1 (ES = 0.68), whereas UC participants reported an increase from time 1 to 3 (ES = 0.56). PFE also moderated group differences on the Health and Behavior Inventory (HBI) cognitive (p = .02) and somatic symptom scales (p = .05). At high PFE, SMART participants reported a more rapid return to pre-injury levels than UC participants (p = .05). Resilience also moderated group differences in QoL and HBI cognitive recovery.
conclusionEffectiveness of the SMART app varied based on preinjury coping styles and resilience, underscoring the potential need to tailor treatments to individual characteristics.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.