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Is personalization of psychological pain treatments necessary? Evidence from a Bayesian variance ratio meta-analysis.
Pain ( IF 5.9 ) Pub Date : 2024-08-02 , DOI: 10.1097/j.pain.0000000000003363
Saskia Scholten 1 , Philipp Herzog 1, 2 , Julia Anna Glombiewski 1 , Tim Kaiser 3, 4
Affiliation  

This is the first study to empirically determine the potential for data-driven personalization in the context of chronic primary pain (CPP). Effect sizes of psychological treatments for individuals with CPP are small to moderate on average. Aiming for better treatment outcomes for the individual patient, the call to personalize CPP treatment increased over time. However, empirical evidence that personalization of psychological treatments can optimize treatment outcomes in CPP is needed. This study seeks to estimate heterogeneity of treatment effect for cognitive behavioral therapy (CBT) as the psychological treatment approach for CPP with the greatest evidence base. For this purpose, a Bayesian variance ratio meta-regression is conducted using updated data from 2 recently published meta-analyses with randomized controlled trials comparing CBT delivered face-to-face to treatment-as-usual or waiting list controls. Heterogeneity in patients with CPP would be reflected by a larger overall variance in the post-treatment score compared with the control group. We found first evidence for an individual treatment effect in CBT compared with the control group. The estimate for the intercept was 0.06, indicating a 6% higher variance of end point values in the intervention groups. However, this result warrants careful consideration. Further research is needed to shed light on the heterogeneity of psychological treatment studies and thus to uncover the full potential of data-driven personalized psychotherapy for patients with CPP.A Bayesian variance ratio meta-regression indicates empirical evidence that data-driven personalized psychotherapy for patients with chronic primary pain could increase effects of cognitive behavioral therapy.

中文翻译:


心理疼痛治疗的个性化有必要吗?来自贝叶斯方差比荟萃分析的证据。



这是第一项实证确定在慢性原发性疼痛 (CPP) 背景下数据驱动个性化潜力的研究。平均而言,对 CPP 患者的心理治疗的效果大小为小到中等。为了给个体患者提供更好的治疗结果,随着时间的推移,个性化 CPP 治疗的呼声越来越高。然而,需要经验证据表明心理治疗的个性化可以优化 CPP 的治疗结果。本研究旨在估计认知行为疗法 (CBT) 作为具有最大证据基础的 CPP 心理治疗方法的治疗效果的异质性。为此,使用来自最近发表的 2 项荟萃分析的更新数据进行贝叶斯方差比荟萃回归,这些随机对照试验将面对面提供的 CBT 与常规治疗或等待名单对照进行比较。与对照组相比,CPP 患者治疗后评分的总体方差较大,从而反映出 CPP 患者的异质性。我们发现了与对照组相比,CBT 个体治疗效果的第一个证据。截距的估计值为 0.06,表明干预组终点值的方差高出 6%。但是,此结果值得仔细考虑。需要进一步的研究来阐明心理治疗研究的异质性,从而揭示数据驱动的个性化心理治疗对 CPP 患者的全部潜力。贝叶斯方差比荟萃回归表明,经验证据表明,针对慢性原发性疼痛患者的数据驱动的个性化心理治疗可以增加认知行为治疗的效果。
更新日期:2024-08-02
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