Institute for Ethics and Society, University of Notre Dame Australia, Broadway, New South Wales, Australia.
Cancer Theme, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
Psychooncology. 2022 Jul;31(7):1204-1211. doi: 10.1002/pon.5908. Epub 2022 Mar 1.
To determine whether the existing Multidimensional Impact of Cancer Risk Assessment (MICRA) scale, which assesses impact of receiving genetic test results on individuals being assessed for cancer risk, can be successfully adapted to cancer patients experiencing prolonged waiting for results of germline genome sequencing (GS).
Patients previously diagnosed with likely hereditary cancer (n = 250) who were waiting for germline GS results completed questionnaires 3 months after baseline. We adapted the MICRA to measure anxiety associated with waiting for results, and assessed factor structure, internal consistency, test-retest reliability and construct validation.
Factor analysis revealed four factors: distress, positive experience, family support and uncertainty. Internal consistency for each sub-scale was high with the values of Cronbach's alpha for the distress, positive experiences, family support and uncertainty sub-scales 0.92, 0.88, 0.92 and 0.87, respectively. Test-retest reliability was poor, with intra-class correlations of 0.53, 0.13, 0.33 and 0.52 for the four factors, respectively. Construct validation showed large correlations between the MICRA distress and uncertainty sub-scale scores and the Impact of Events score intrusion (0.42 and 0.62, respectively) and IES avoidant thinking sub-scales (0.40 and 0.58, respectively) but not the Hospital Anxiety and Depression Scale sub-scales.
The adapted MICRA identified test-related anxiety and uncertainty in a population of cancer patients waiting for germline GS results. Results suggest that the distress and uncertainty sub-scales of the adapted measure are most useful in this context.
确定现有的多维癌症风险评估影响量表(MICRA)是否可以成功应用于因等待种系全基因组测序(GS)结果而经历长时间等待的癌症患者,该量表评估了个体接受遗传检测结果的影响。
先前被诊断为可能遗传性癌症(n=250)且正在等待种系 GS 结果的患者在基线后 3 个月完成了问卷。我们对 MICRA 进行了改编,以衡量与等待结果相关的焦虑,并评估了其结构因素、内部一致性、重测信度和结构验证。
因子分析显示有四个因素:困扰、积极体验、家庭支持和不确定性。每个子量表的内部一致性都很高,困扰、积极体验、家庭支持和不确定性子量表的 Cronbach's alpha 值分别为 0.92、0.88、0.92 和 0.87。重测信度较差,四个因素的组内相关系数分别为 0.53、0.13、0.33 和 0.52。结构验证表明,MICRA 困扰和不确定性子量表得分与事件影响量表入侵得分(分别为 0.42 和 0.62)和 IES 回避思维子量表(分别为 0.40 和 0.58)高度相关,但与医院焦虑抑郁量表子量表不相关。
改编后的 MICRA 在等待种系 GS 结果的癌症患者群体中识别出与检测相关的焦虑和不确定性。结果表明,改编后的量表中的困扰和不确定性子量表在这种情况下最有用。