Heartrate variability biofeedback for migraine using a smartphone application and sensor: A randomized controlled trial - 16/03/21
, Sarah Corner a, Thomas Berk a, Valeriya Levitan a, Steven Friedman b, Samrachana Adhikari b, Elizabeth B. Seng cAbstract |
Introduction |
Although hand temperature and electromyograph biofeedback have evidence for migraine prevention, to date, no study has evaluated heartrate variability (HRV) biofeedback for migraine.
Methods |
2-arm randomized trial comparing an 8-week app-based HRV biofeedback (HeartMath) to waitlist control. Feasibility/acceptability outcomes included number and duration of sessions, satisfaction, barriers and adverse events. Primary clinical outcome was Migraine-Specific Quality of Life Questionnaire (MSQv2).
Results |
There were 52 participants (26/arm). On average, participants randomized to the Hearthmath group completed 29 sessions (SD = 29, range: 2–86) with an average length of 6:43 min over 36 days (SD = 27, range: 0, 88) before discontinuing. 9/29 reported technology barriers. 43% said that they were likely to recommend Heartmath to others. Average MSQv2 decreases were not significant between the Heartmath and waitlist control (estimate = 0.3, 95% CI = −3.1 - 3.6). High users of Heartmath reported a reduction in MSQv2 at day 30 (−12.3 points, p = 0.010) while low users did not (p = 0.765).
Discussion |
App-based HRV biofeedback was feasible and acceptable on a time-limited basis for people with migraine. Changes in the primary clinical outcome did not differ between biofeedback and control; however, high users of the app reported more benefit than low users.
Le texte complet de cet article est disponible en PDF.Keywords : Migraine, mHealth, Biofeedback, Heartrate variability, Smartphone, Behavioral therapy
Plan
Vol 69
P. 41-49 - mars 2021 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.
Déjà abonné à cette revue ?
