ArticleJMIR formative research2023
A Digital Health Intervention for Concussion: Development and Clinical Feasibility Study.
Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05069948 (Delivery of Digital Cognitive Behavioural Therapy Following Concussion), which is not on this map. Cited by 9 papers.
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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.
Delivery of Digital Cognitive Behavioural Therapy Following Concussion: HeadOn Feasibility Study
Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- Logic Models on Health Information Technology-Related Interventions: Scoping Review Across Disciplines.JMIR medical informatics · 2026Article
- Mobile Health App for Adults with Persisting Postconcussion Symptoms: Development and Usability Study.JMIR human factors · 2025Article
- The MyGuide Web-Based Self-Management Tool for Concussion Rehabilitation: Mixed Methods Cross-Sectional Study.JMIR rehabilitation and assistive technologies · 2025Article
- Feasibility trial of a self-help digital intervention for functional cognitive disorder.Brain communications · 2025Article
- Post-concussion symptom burden and dynamics: Insights from a digital health intervention and machine learning.PLOS digital health · 2025Article
- The Association Between Daily Registrations of Persistent Post-Concussion Symptoms Using an mHealth App and the Retrospective Rivermead Post-Concussion Symptoms Questionnaire.Neurotrauma reports · 2025Article
- Response Rate Patterns in Adolescents With Concussion Using Mobile Health and Remote Patient Monitoring: Observational Study.JMIR pediatrics and parenting · 2024Article
- Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study.JMIR neurotechnology · 2024Article
- Building Culturally Centered System Dynamics Logic Models for the Brown Buttabean Motivation Organization: Protocol for a Systems Science Approach.JMIR research protocols · 2023Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConcussion is a common condition that can lead to a constellation of symptoms that affect quality of life, social integration, and return to work. There are several evidence-based behavioral and psychological interventions that have been found to improve postconcussion symptom burden. However, these are not routinely delivered, and individuals receive limited support during their concussion recovery.
objectiveThis study aimed to develop and test the feasibility of a digital health intervention using a systematic evidence-, theory-, and person-based approach.
methodsThis was a mixed methodology study involving a scoping review (n=21), behavioral analysis, and logic model to inform the intervention design and content. During development, the intervention was optimized with feedback from individuals who had experienced concussions (n=12) and health care professionals (n=11). The intervention was then offered to patients presenting to the emergency department with a concussion (n=50). Participants used the intervention freely and input symptom data as part of the program. A number of outcome measures were obtained, including participant engagement with the intervention, postconcussion symptom burden, and attitudes toward the intervention. A selection of participants (n=15) took part in in-depth qualitative interviews to understand their attitudes toward the intervention and how to improve it.
resultsEngagement with the intervention functionality was 90% (45/50) for the symptom diary, 62% (31/50) for sleep time setting, 56% (28/50) for the alcohol tracker, 48% (24/50) for exercise day setting, 34% (17/50) for the thought diary, and 32% (16/50) for the goal setter. Metrics indicated high levels of early engagement that trailed off throughout the course of the intervention, with an average daily completion rate of the symptom diary of 28.23% (494/1750). A quarter of the study participants (13/50, 26%) were classified as high engagers who interacted with all the functionalities within the intervention. Quantitative and qualitative feedback indicated a high level of usability and positive perception of the intervention. Daily symptom diaries (n=494) demonstrated a wide variation in individual participant symptom burden but a decline in average burden over time. For participants with Rivermead scores on completion of HeadOn, there was a strong positive correlation (r=0.86; P<.001) between their average daily HeadOn symptom diary score and their end-of-program Rivermead score. Insights from the interviews were then fed back into development to optimize the intervention and facilitate engagement.
conclusionsUsing this systematic approach, we developed a digital health intervention for individuals who have experienced a concussion that is designed to facilitate positive behavior change. Symptom data input as part of the intervention provided insights into postconcussion symptom burden and recovery trajectories.
trial registrationClinicalTrials.gov NCT05069948; https://clinicaltrials.gov/ct2/show/NCT05069948.
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