Biofeedback App for Migraine: A Development and Usability Study (Preprint)
UNSTRUCTURED Background: Biofeedback is effective in treating migraine. However, widespread use is hampered by the need of a trained therapist and specialized equipment. Emerging digital health technology, including smartphones and wearables (mHealth), enables new ways of administering biofeedback. Currently, mHealth interventions for migraine appears feasible, but development processes and usability testing remain insufficient. Methods: In a prospective development and usability study, 18 adult migraine suffers completed a 4-week testing period of a biofeedback app connected to wearable sensors measuring muscle tension, finger temperature, and heart rate. The testing period was preceded by a pre-usability expectations interview and succeeded by a post-usability experience interview. In addition, an evaluation questionnaire was completed at week two and four. Usability and feasibility were analyzed and summarized quantitatively and qualitatively. Results: A total of 391 biofeedback sessions were completed with a median of 25 (17-28) per participant. Participants achieved an increase in maximum, minimum and mean temperature and a decrease in maximum heart rate over the course of biofeedback training sessions. Qualitative pre-expectations analysis revealed that participants expected to become better familiar with physical signals, gain more understanding of their migraine attacks, and noted that the app should be simple and understandable. Post-usability analysis indicated that participants had an overall positive user experience with some suggestions for improvement. The intervention was safe and tolerable. Conclusion: The app underwent a rigorous development process which indicated an overall positive user experience, good usability and high adherence rate. This study highlights the importance of usability testing in the development of mHealth apps.