Little data currently exist regarding whether and how different characteristics of a patient and session influence outcomes of genetic counseling (GC). We conducted an exploratory retrospective chart review of data from a specialist psychiatric GC clinic (where patients complete the Genetic Counseling Outcome Scale (GCOS) as part of routine care before and after GC). We used ANOVA and linear regression to analyze GCOS change scores in relation to twelve patient/session-related variables. Three hundred and seven charts were included in analyses. Overall, GCOS scores increased significantly after GC, with large effect size (p < 0.0005, d = 1.10), and significant increases in all GCOS subdomains except adaptation. Significant associations with GCOS change score were identified for three variables: mode of delivery of GC (in-person/telephone/telehealth, p = 0.048, η2 = 0.020), primary indication for the appointment (understanding recurrence risk versus other primary indications, p = 0.001, η2 = 0.037), and baseline GCOS score (p < 0.000, R = 0.353). Our data showing that those with low baseline GCOS scores benefit most from GC could be used to explore the possibility of triaging those referred for GC based on this variable, and/or to identify individuals to refer to GC.

中文翻译：

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患者和会话相关变量与精神病遗传咨询结果之间的关系。

目前，关于患者和会话的不同特征是否以及如何影响遗传咨询（GC）的结果的数据很少。我们对来自一家专业精神科GC诊所的数据进行了探索性回顾性图表审查（在该诊所，患者在完成GC之前和之后的日常护理中均完成了遗传咨询结果量表（GCOS））。我们使用方差分析和线性回归来分析与十二个患者/会话相关变量有关的GCOS变化得分。分析中包括了三百零七张图表。总体而言，GC后GCOS评分显着增加，且影响大小大（p <0.0005，d = 1.10），除适应外，所有GCOS子域均显着增加。对于三个变量，确定了与GCOS变化得分的显着相关性：GC的提供方式（面对面/电话/远程医疗，p = 0.048，η2= 0.020），指定的主要指征（了解复发风险与其他主要指征，p = 0.001，η2= 0.037），以及基线GCOS评分（p <0.000，R = 0.353）。我们的数据显示，基线GCOS得分较低的人群可从GC中获益最多，可用于探讨根据此变量对推荐给GC的人群进行分类的可能性，和/或确定可推荐给GC的个人。