Treatment personalization has evolved into an important zeitgeist in psychotherapy research. To date, such efforts have principally embodied a unidirectional focus on personalizing interventions to the patient. For example, earlier work in this area attempted to determine whether, on average, certain patients with certain characteristics or needs would respond better to one treatment package versus others. To the extent such aggregate "Aptitude × Treatment interactions" emerged, they could help guide overarching treatment selection. More recently, and drawing on technological and statistical advancements (e.g., machine learning, dynamic modeling), predictive algorithms can help determine for which individual patients certain treatment packages (DeRubeis et al., 2014) or specific during-session interventions within them (Fisher & Boswell, 2016) confer the most advantage for clinical improvement. Again, such work can help guide treatment decisions, though now at multiple care points. Although the aforementioned innovations in personalized psychotherapy have been leading-edge, precision care need not remain unidirectional. Rather, it can be complemented by efforts to personalize treatment decisions to the therapist. Namely, we can harness therapist effectiveness data to help ensure that therapists treat the patients they are empirically most equipped to help and use the interventions with which they have had the most empirical success. Such threads have been the focus of our team's novel, evolving, and multimethod work on improving psychotherapy by leveraging therapists' own practice-based evidence. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

中文翻译：

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基于测量的患者与心理治疗师优势的匹配。


治疗个性化已发展成为心理治疗研究中的重要时代精神。迄今为止，此类努力主要体现为对患者进行个性化干预的单向关注。例如，该领域的早期工作试图确定平均而言，具有某些特征或需求的某些患者是否会对一种治疗方案的反应比其他方案更好。如果出现这种总体的“能力×治疗相互作用”，它们可以帮助指导总体治疗选择。最近，利用技术和统计进步（例如机器学习、动态建模），预测算法可以帮助确定哪些个体患者接受某些治疗方案（DeRubeis 等人，2014 年）或其中的特定治疗期间干预措施（Fisher & Boswell, 2016）赋予临床改善最大的优势。同样，此类工作可以帮助指导治疗决策，尽管现在是在多个护理点进行。尽管上述个性化心理治疗的创新一直处于领先地位，但精准护理不必保持单向。相反，它可以通过为治疗师提供个性化治疗决策的努力来补充。也就是说，我们可以利用治疗师有效性数据来帮助确保治疗师治疗他们在经验上最有能力帮助和使用他们在经验上最成功的干预措施的患者。这些线索一直是我们团队通过利用治疗师自己的基于实践的证据来改进心理治疗的新颖、不断发展和多方法工作的重点。 （PsycInfo 数据库记录 (c) 2024 APA，保留所有权利）。