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治疗师层面的患者与治疗师匹配对社区心理治疗效果的影响因素。

Therapist-Level Moderators of Patient-Therapist Match Effectiveness in Community Psychotherapy.

机构信息

Department of Psychology, American University, 4400 Massachusetts Ave NW, Washington, DC, 20016, USA.

Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, MA, USA.

出版信息

Adm Policy Ment Health. 2024 Sep;51(5):738-752. doi: 10.1007/s10488-024-01360-8. Epub 2024 Apr 2.

Abstract

Based on patient-reported outcomes data analyzed at the provider level, there is evidence that psychotherapists can possess effectiveness strengths and weaknesses when treating patients with different presenting concerns. These within-therapist differences hold promise for personalizing care by prospectively matching patients to therapists' historical effectiveness strengths. In a double-masked randomized controlled trial (RCT; NCT02990000), such matching outperformed pragmatically determined usual case assignment-which leaves personalized, measurement-based matching to chance-in naturalistic outpatient psychotherapy (Constantino et al., JAMA Psychiatry 78:960-969, 2021). Demonstrating that personalization can be even more precise, some research has demonstrated that the strength of this positive match effect was moderated by certain patient characteristics. Notably, though, it could also be that matching is especially important for some therapists to achieve more effective outcomes. Examining this novel question, the present study drew on the Constantino et al. (JAMA Psychiatry 78:960-969, 2021) trial data to explore three therapist-level moderators of matching: (a) effectiveness "spread" (i.e., greater performance variability across patients' presenting problem domains), (b) overestimation of their measurement-based and problem-specific effectiveness, and (c) the frequency with which they use patient-reported routine outcomes monitoring in their practice. Patients were 206 adults, randomized to the match or control condition, treated by 40 therapists who were crossed over conditions. The therapist variables were assessed at the trial's baseline and patients' symptomatic/functional impairment and global distress were assessed regularly up to 16 weeks of treatment. Hierarchical linear models revealed that only therapist effectiveness spread significantly moderated the match effect for the global distress outcome; for therapists with more spread, the match effect was more pronounced, whereas the match effect was minimal for therapists with less effectiveness spread. Notably, two therapist-level covariates unexpectedly emerged as significant moderators for the symptomatic/functional impairment outcome; for clinicians who consistently treated patients with higher versus lower average severity levels and who relatedly treated a higher proportion of patients with primary presenting problems of substance misuse or violence, the beneficial match effect was even stronger. Thus, measurement-based matching may be especially potent for therapists with more variable effectiveness across problem domains, and who consistently treat patients with more severe presenting concerns or with particular primary problems, which provides further precision in conceptualizing personalized care.

摘要

基于在治疗师层面上分析的患者报告结局数据,有证据表明,心理治疗师在治疗具有不同表现问题的患者时可能具有优势和劣势。这些治疗师内部的差异为通过前瞻性地将患者与治疗师的历史有效性优势相匹配来实现个性化护理提供了希望。在一项双盲随机对照试验(RCT;NCT02990000)中,这种匹配优于实用确定的常规病例分配——将基于测量的个性化匹配留给机会——在自然主义门诊心理治疗中(Constantino 等人,JAMA Psychiatry 78:960-969,2021)。证明个性化可以更加精确,一些研究表明,这种积极匹配效应的强度受到某些患者特征的调节。然而,也有可能是匹配对于某些治疗师来说尤其重要,以实现更有效的结果。为了研究这个新问题,本研究利用 Constantino 等人的(JAMA Psychiatry 78:960-969,2021)试验数据,探讨了匹配的三个治疗师层面的调节因素:(a)有效性“传播”(即,患者表现问题领域的表现变异性更大),(b)高估其基于测量的和特定问题的有效性,以及(c)他们在实践中使用患者报告的常规结果监测的频率。患者为 206 名成年人,随机分配至匹配或对照条件,由 40 名治疗师治疗,治疗师交叉条件。在试验的基线和患者的症状/功能障碍和整体困扰定期评估时评估治疗师变量,直至治疗 16 周。分层线性模型显示,只有治疗师的有效性传播显著调节了整体困扰结果的匹配效应;对于传播性更强的治疗师,匹配效应更为明显,而对于传播性较低的治疗师,匹配效应则微不足道。值得注意的是,两个治疗师层面的协变量出人意料地成为症状/功能障碍结果的显著调节因素;对于持续治疗平均严重程度较高的患者和治疗主要表现问题为物质滥用或暴力的患者比例较高的临床医生来说,有益的匹配效应甚至更强。因此,基于测量的匹配可能对具有更广泛问题领域的治疗师特别有效,并且他们始终治疗具有更严重表现问题的患者或具有特定主要问题的患者,这为个性化护理的概念化提供了进一步的精确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d341/11379779/06d38a20c062/10488_2024_1360_Fig1_HTML.jpg

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