Broadbridge Elizabeth, Roter Debra L, Persky Susan, Erby Lori H
Department of Communication, Rutgers University, New Brunswick, New Jersey, USA.
Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland, USA.
J Genet Couns. 2025 Feb;34(1):e1844. doi: 10.1002/jgc4.1844. Epub 2024 Feb 2.
The therapeutic relationship is a key component of successful genetic counseling. In psychotherapy, a strong therapeutic relationship can improve patient health outcomes and a poor relationship can worsen psychological functioning. Investigation of the therapeutic relationship in genetic counseling has shown evidence for a similar pattern. Reliable measurement of the therapeutic relationship is necessary for consistency across studies in the genetic counseling context. One measure that has been adapted for use in genetic counseling is the Working Alliance Inventory (WAI). However, there have been no studies of the factor structure or item-level method bias analyses for the genetic counseling-adapted version of the WAI. The goal of this study was to test the factor structure of the WAI observer version (WAI-O) bond subscale and assess method bias in a genetic counseling context. We hypothesized that differences in factor structures would exist for items that were positively (n = 9) versus negatively (n = 3) worded (reverse coded). Secondary data analysis was performed on two data sets that utilized the WAI-O in genetic counseling contexts. Data set 1 used simulated genetic counseling sessions that were judged by analog clients recruited through crowdsourcing platforms (N = 861). Data set 2 was conducted with genetic counseling clients, and sessions were evaluated by a research team (N = 120). Principal axis factor analysis with oblique oblimin rotation supported a two-factor solution for the WAI-O bond subscale across data sets. Items factored based on wording, with the positively worded items loading together and the negatively worded items loading on the second factor. Confirmatory factor analyses supported the removal of all negatively worded items from the instrument across data sets. Results suggest that the negatively worded items on the WAI-O may be capturing a construct inconsistent with the positively worded items and support rewording and/or excluding them from use for a more reliable measure of the therapeutic bond.
治疗关系是成功进行遗传咨询的关键组成部分。在心理治疗中,牢固的治疗关系可改善患者的健康状况,而不良的关系则会使心理功能恶化。对遗传咨询中治疗关系的调查也显示出类似的模式。在遗传咨询背景下,为确保各项研究结果的一致性,对治疗关系进行可靠的测量是必要的。一种已被改编用于遗传咨询的测量工具是工作联盟量表(WAI)。然而,尚未有研究对遗传咨询改编版WAI的因子结构或项目层面的方法偏差分析进行探讨。本研究的目的是检验WAI观察者版(WAI-O)的关系子量表的因子结构,并评估遗传咨询背景下的方法偏差。我们假设,正向表述(n = 9)与反向表述(n = 3)的项目在因子结构上会存在差异(反向计分)。我们对两个在遗传咨询背景下使用WAI-O的数据集进行了二次数据分析。数据集1使用通过众包平台招募的模拟患者评判的模拟遗传咨询会话(N = 861)。数据集2则针对遗传咨询患者进行,由一个研究团队对会话进行评估(N = 120)。采用斜交旋转的主轴因子分析支持了跨数据集的WAI-O关系子量表的两因子解决方案。项目根据措辞进行因子分析,正向表述的项目聚集在一个因子上,反向表述的项目则加载在第二个因子上。验证性因子分析支持从工具中删除所有反向表述的项目。结果表明,WAI-O上反向表述的项目可能捕捉到了与正向表述项目不一致的结构,并支持对其进行重新措辞和/或排除,以更可靠地测量治疗关系。