Altrecht Psychosomatic Medicine Eikenboom, Zeist, The Netherlands.
Altrecht Psychosomatic Medicine Eikenboom, Zeist, The Netherlands.
J Psychosom Res. 2018 Jun;109:19-24. doi: 10.1016/j.jpsychores.2018.03.009. Epub 2018 Mar 21.
From a patient-centered perspective, treatment outcome measures in somatoform disorder need to be (1) personalized to the patient, (2) fit core problems that are targeted in therapy, and (3) reflect one's ability to adapt and self-manage anticipated deterioration. The aim of this study was to identify an encompassing set of treatment outcome variables in patients with somatoform disorder.
In-depth interviews yielded a comprehensive overview of 60 treatment outcomes that were sorted in a card sorting task according to similarity of meaning by 30 patients. Hierarchical cluster analysis (squared Euclidean distances, Ward's method) was used to obtain a structured overview of treatment outcomes unbiased by subjective interpretations of researchers. Perceived importance and personal change were examined using descriptive statistics.
The hierarchical structure of treatment outcomes showed seven clusters, classified in two broad categories: self-other relationships (comprising social support, health care use, and self-confidence) and self-management (comprising physical balance, psychological adjustment, symptom acceptance, and resilience). Ratings of the importance of the clusters showed large individual differences. Most participants retrospectively perceived positive personal change.
The wide variety of treatment outcomes and the observation that patients attach different importance to the outcome measures supports the value of developing new personalized outcome measures for effect studies. In clinical practice, the clusters of outcomes can be used in shared decision making during intake, to define treatment goals, and to map and evaluate change on a personalized set of outcome measures.
从患者为中心的角度来看,躯体形式障碍的治疗结果衡量标准需要(1)针对患者个体,(2)符合治疗的核心问题,以及(3)反映患者适应和自我管理预期恶化的能力。本研究旨在确定躯体形式障碍患者的一套全面的治疗结果衡量标准。
深入访谈产生了 60 种治疗结果的综合概述,由 30 名患者根据相似的含义在卡片分类任务中进行分类。层次聚类分析(平方欧式距离,Ward 法)用于获得不受研究人员主观解释影响的治疗结果的结构化概述。使用描述性统计方法检查感知的重要性和个人变化。
治疗结果的层次结构显示了七个聚类,分为两大类:自我与他人关系(包括社会支持、医疗保健使用和自信)和自我管理(包括身体平衡、心理调整、症状接受和韧性)。对聚类重要性的评价显示出很大的个体差异。大多数参与者回顾性地感知到积极的个人变化。
治疗结果的多样性以及患者对结果衡量标准的重视程度存在差异,这支持了为效果研究开发新的个性化结果衡量标准的价值。在临床实践中,可以在入组期间的共同决策中使用这些结果聚类来定义治疗目标,并对个性化的结果衡量标准进行映射和评估变化。