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Efficacy of psychological treatment for headache disorder: a systematic review and meta-analysis
Hye Jeong Lee1, Jin Hyeok Lee1, Eun Young Cho2
1Department of Psychiatry, Catholic university of Daegu, School of Medicine, 33, Duryugongwon-ro 17-gil, Nam-gu, Daegu, Republic of Korea.
Background:
Headache disorder is not only a common complaint but also a global burden. Pharmacotherapeutic and non-pharmacotherapeutic approaches have been developed for its treatment and prophylaxis. The present study included a systematic review of psychological treatments for primary headache disorder accessible in Korea.
Methods:
We included English and Korean articles from EMBASE, MEDLINE, Cochrane library database, SCOPUS, ScienceDirect, Web of Science, CINAHL, PsycArticles and Korean database, KoreaMed and KMBASE which studied primary headache and medication-overuse headache. The primary efficacy measure was the number of headache days per month, while secondary efficacy measures were the number of headache attacks per week, headache index, treatment response rate, and migraine disability assessment. The meta-analysis was performed using R 3.5.1. to obtain pooled mean difference and pooled relative risk with 95% confidence interval (CI) for continuous data and dichotomous data, respectively.
Results:
From 12,773 identified articles, 27 randomized clinical trials were identified. Primary outcome showed significant superiority of psychological treatments (pooled mean difference = - 0.70, 95% CI [- 1.22, - 0.18]). For the secondary outcomes, the number of headache attacks (pooled mean difference = - 1.15, 95% CI [- 1.63, - 0.67]), the headache index (pooled mean difference = - 0.92, 95% CI [- 1.40 to - 0.44]) and the treatment response rate (pooled relative risk = 3.13, 95% CI [2.24, 4.37]) demonstrated significant improvements in the psychological treatment group over the control group.
Conclusion:
Psychological treatments for primary headache disorder reduced headache frequency and the headache index. Future research using standardized outcome measures and strategies for reducing bias is needed.
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