Short-term effectiveness of an online behavioral training in migraine self-management: A randomized controlled trial
Abstract
Behavioral training (BT) is recommended as a supplementary preventive treatment for migraine. Online interventions have been successful in promoting health behavior change, the evidence for online BT in migraine is limited, however. This randomized controlled trial aimed to determine the post-treatment effectiveness of online BT (n = 195) compared to a waitlist control group (WLC; n = 173) on migraine attack frequency (primary outcome), headache self-efficacy and locus of control (secondary outcomes). BT aims to counteract attacks in the prodromal stage through early detection of prodromal features and self-management via physical relaxation and cognitive behavioral regulation, and was offered with minimal e-mail support in eight online lessons. Results showed that 120 (62%) participants completed BT. A decrease of 20-25% in migraine attack frequency was found in both conditions without a between-group difference (ES = 0.02, p = .71). BT participants improved more than WLC participants on migraine related self-efficacy (ES = 0.86, p < .001), developed more internal (ES = 0.57, p < .001), and less external control (ES = 0.78, p < .001). To conclude, results at post-training did not corroborate that improvements in migraine attack frequency were due to online BT, the waitlist control group improved accordingly. However, positive effects of BT on self-efficacy and locus of control were established. We have to await the long term effects to see if improvements in psychological variables translate to a reduction in migraine headache.
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Another study on web-based behavioral training for migraine self-management found no difference in headache attack frequency but found evidence for improved migraine self-efficacy and locus of control.
“Another study on web-based behavioral training for migraine self-management found no difference in headache attack frequency but found evidence for improved migraine self-efficacy and locus of control [116].”
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- Authors
- Kleiboer, A., Sorbi, M., van Silfhout, M., Kooistra, L., & Passchier, J.
- Affiliations
- Utrecht University (NL)
- Vrije Universiteit Amsterdam (NL)
- Corresponding author
- Kleiboer, Annet
- Venue
- Behaviour Research and Therapy
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 61
- Pages
- 61-69
- ISSN
- 0005-7967 (ISSN-L)
- OpenAlex
- W1998052251
- Cited by
- 37
- References
- 56
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 4 · 2023: 1 · 2022: 6 · 2021: 2 · 2020: 3 · 2019: 4 · 2017: 3 · 2016: 6 · 2015: 2 · 2014: 1
- FWCI
- 3.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behaviour Research and Therapy (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Health Insurers Innovation Foundation (Innovatiefonds Zorgverzekeraars) (1871)
- Utrecht University Faculty of Social and Behavioral Sciences
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Migraine and Headache Studies
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › Complementary and Manual Therapy › Temporomandibular Joint Disorders
- Keywords
- migraine, migraine frequency, locus of control, prodromal symptoms, relaxation training, waitlist control
- MeSH terms
- Adult, Behavior Therapy, Female, Humans, Male, Middle Aged, Migraine Disorders, Self Care, Treatment Outcome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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