An indirect treatment comparison meta-analysis of digital versus face-to-face cognitive behavior therapy for headache

IF 12.4 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES NPJ Digital Medicine Pub Date : 2024-09-29 DOI:10.1038/s41746-024-01264-9
Yan-Bing Huang, Li Lin, Xin-Yu Li, Bo-Zhu Chen, Lu Yuan, Hui Zheng
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Abstract

Cognitive behavioral therapy (CBT) is effective for headache disorders. However, it is unclear whether the emerging digital CBT is noninferior to face-to-face CBT. An indirect treatment comparison (ITC) meta-analysis was conducted to assess the relative effects between them using standard mean differences (SMDs). Effective sample size (ESS) and required sample size (RSS) were calculated to demonstrate the robustness of the results. Our study found that digital CBT had a similar effect on headache frequency reduction (SMD, 0.12; 95%CI, −2.45 to 2.63) compared with face-to-face CBT. The ESS had 84 participants, while the RSS had 466 participants to achieve the same power as a non-inferior head-to-head trial. Digital CBT is as effective as face-to-face CBT in preventing headache disorders. Due to the heterogeneity (I2 = 94.5%, τ2 = 1.83) and the fact that most of the included studies were on migraine prevention, further head-to-head trials are warranted.

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头痛数字认知行为疗法与面对面认知行为疗法的间接治疗比较荟萃分析
认知行为疗法(CBT)对头痛症很有效。然而,目前还不清楚新兴的数字化 CBT 是否不逊于面对面的 CBT。我们进行了一项间接治疗比较(ITC)荟萃分析,利用标准平均差(SMDs)评估两者之间的相对效果。计算了有效样本量(ESS)和所需样本量(RSS),以证明结果的稳健性。我们的研究发现,与面对面的 CBT 相比,数字化 CBT 对减少头痛频率的效果相似(SMD,0.12;95%CI,-2.45 至 2.63)。ESS有84名参与者,而RSS有466名参与者,达到了与非劣效头对头试验相同的功率。在预防头痛疾病方面,数字化 CBT 与面对面 CBT 同样有效。由于存在异质性(I2 = 94.5%,τ2 = 1.83),而且纳入的研究大多是关于偏头痛预防的,因此有必要进一步开展头对头试验。
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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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