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Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
Published on: January 20, 2019
Mobile Health App for Adults with Persisting Postconcussion Symptoms: Development and Usability Study
Gøril Storvig1,2,3, Anker Stubberud3,4, Johanne Rauwenhoff1,3
1Department of Psychology, Norwegian University of Science and Technology, Trondheim, 7491, Norway, +47 73591960.
A new mobile health app effectively maps persisting postconcussion symptoms, offering an accessible and cost-efficient alternative for adults. This mHealth tool demonstrates high usability and safety for symptom tracking.
Area of Science:
- Neurology
- Digital Health
- Clinical Research
Background:
- Persisting postconcussion symptoms present diagnostic and treatment challenges.
- Current symptom assessment methods rely on retrospective reporting.
- Mobile health (mHealth) offers a potential solution for accessible and cost-efficient symptom mapping.
Purpose of the Study:
- To develop a research-based mobile app for symptom mapping in adults with persisting postconcussion symptoms.
- To investigate the usability, feasibility, and safety of the developed mHealth app.
Main Methods:
- A mixed-method development and usability study involving three iterative cycles.
- App design, programming, and evaluation by user and clinician groups.
- Utilized mHealth App Usability Questionnaire, Mobile App Rating Scale, and semistructured interviews.
Main Results:
- The app achieved high usability scores from both user (5/7) and clinician (4.1/5) groups.
- High adherence rate (89%) during a 28-day home-testing period.
- Qualitative analysis revealed themes of "Visualizing the invisible," "Personalized yet simple," and "More than just a number."
Conclusions:
- A research-based symptom mapping app for persisting postconcussion symptoms was successfully developed.
- The app demonstrated high usability, feasibility, and safety for its intended purpose.
- mHealth provides a viable alternative to traditional symptom mapping methods.
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