How do women at increased risk of breast cancer make sense of their risk? An interpretative phenomenological analysis.

How do women at increased risk of breast cancer make sense of their risk? An interpretative phenomenological analysis.
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患乳腺癌风险较高的女性如何理解自己的风险?

DOI:
10.1111/bjhp.12678
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发表时间:
2023
影响因子:
7.9
通讯作者:
Woof VG
Woof VG
中科院分区:
心理学2区
文献类型:
--
作者:
Woof VG

文献摘要

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目标 全球正在考虑为所有达到筛查年龄的女性提供乳腺癌风险预测。对于接受临床估算的女性来说,风险评估往往不准确。本研究旨在深入了解女性乳腺癌风险增加的生活经历。设计一对一半结构化电话访谈。方法在乳腺癌风险研究 (BC-Predict) 中,对 8 名自称处于高于平均水平(中度)或高风险 10 年的女性进行了访谈,了解她们对乳腺癌、个人乳腺癌风险和风险预防的看法。访谈持续 40 至 70 分钟。使用解释性现象学分析对数据进行分析。结果产生了四个主题:(i)遭遇乳腺癌和感知的个人意义,其中女性其他乳腺癌患者的生活经历的性质影响了她们对疾病重要性的看法,(ii)“这确实是随机的”:寻找因果归因的困难,其中女性在将原因归因于乳腺癌时遇到矛盾和困惑,(iii)相信与识别临床衍生的乳腺癌风险,其中个人风险评估和期望影响女性内化临床衍生风险并采取预防措施的能力,以及(iv)乳腺癌风险通知的感知效用,其中女性反思了解其风险的有用性。结论提供(数字)风险估计似乎对关于乳腺癌风险的稳定但内部矛盾的信念影响不大。鉴于此,需要与医疗保健专业人员进行讨论,以帮助女性形成更准确的评估并做出明智的决定。
ObjectivesOffering breast cancer risk prediction for all women of screening age is being considered globally. For women who have received a clinically derived estimate, risk appraisals are often inaccurate. This study aimed to gain an in‐depth understanding of women's lived experiences of receiving an increased breast cancer risk.DesignOne‐to‐one semi‐structured telephone interviews.MethodsEight women informed that they were at a 10‐year above‐average (moderate) or high risk in a breast cancer risk study (BC‐Predict) were interviewed about their views on breast cancer, personal breast cancer risk and risk prevention. Interviews lasted between 40 and 70 min. Data were analysed using Interpretative Phenomenological Analysis.ResultsFour themes were generated: (i)encounters with breast cancer and perceived personal significance, where the nature of women's lived experiences of others with breast cancer impacted their views on the significance of the disease, (ii)‘It's random really’: difficulty in seeking causal attributions,where women encountered contradictions and confusion in attributing causes to breast cancer, (iii)believing versus identifying with a clinically‐derived breast cancer risk,where personal risk appraisals and expectations influenced women's ability to internalize their clinically derived risk and pursue preventative action and (iv)perceived utility of breast cancer risk notification, where women reflected on the usefulness of knowing their risk.ConclusionsProviding (numerical) risk estimates appear to have little impact on stable yet internally contradictory beliefs about breast cancer risk. Given this, discussions with healthcare professionals are needed to help women form more accurate appraisals and make informed decisions.