Your Family Connects: A Theory-Based Intervention to Encourage Communication about Possible Inherited Cancer Risk among Ovarian Cancer Survivors and Close Relatives.
Jingsong Zhao, Colleen M McBride, Gavin P Campbell, Rebecca D Pentz, Cam Escoffery, Michael Konomos, Cecelia Bellcross, Kevin Ward, James R Shepperd, Yue Guan
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引用次数: 0
Abstract
Introduction: Encouraging family communication about possible genetic risk has become among the most important avenues for achieving the full potential of genomic discovery for primary and secondary prevention. Yet, effective family-wide risk communication (i.e., conveying genetic risk status and its meaning for other family members) remains a critical gap in the field. We aim to describe the iterative process of developing a scalable population-based communication outreach intervention, Your Family Connects, to reach ovarian cancer survivors and close relatives to communicate the potential for inherited risk and to consider genetic counseling.
Methods: Relational-level theories (e.g., interdependence theory) suggest that interventions to promote family cancer risk communication will be most effective if they consider the qualities of specific relationships and activate motives to preserve the relationship. Informed by these theories, we collaborated with 14 citizen scientists (survivors of ovarian cancer or relatives) and collected 261 surveys and 39 structured interviews over 12 weeks of citizen science activities in 2020.
Results: The citizen science findings and consideration of relational-level theories informed the content and implementation of Your Family Connects (www.yourfamilyconnects.org). CS results showed survivors favor personal contact with close relatives, but relatives were open to alternative contact methods, such as through health professionals. Recognizing the need for varied approaches based on relationship dynamics, we implemented a relative contact menu to enable survivors identify at-risk relatives and provide multiple contact options (i.e., survivor contact, health professional contact, and delayed contact). In line with relational autonomy principles, we included pros and cons for each option, assisting survivors in choosing suitable contact methods for each relative.
Discussion: Our developed intervention represents a novel application of relational-level theories and partnership with citizen scientists to expand genetic services reach to increase the likelihood for fair distribution of cancer genomic advances. The Your Family Connects intervention as part of a randomized trial in collaboration with the Georgia Cancer Registry compared with standard outreach.
引言:鼓励家庭就可能的遗传风险进行沟通,已成为实现基因组发现在一级和二级预防中的全部潜力的最重要途径之一。然而,有效的全家庭风险沟通(即传达遗传风险状况及其对其他家庭成员的意义)仍然是该领域的一个关键缺口。我们的目的是描述开发可扩展的基于人群的沟通拓展干预措施“您的家庭联系”的迭代过程,以接触卵巢癌症幸存者和近亲,沟通遗传风险的可能性,并考虑基因咨询。方法:相关层面的理论(如相互依存理论)表明,如果考虑到特定关系的性质并激活动机以保持关系,那么促进家庭癌症风险沟通的干预措施将是最有效的。根据这些理论,我们与14位公民科学家(癌症幸存者或亲属)合作,在2020年为期12周的公民科学活动中收集了261项调查和39次结构化访谈。结果:公民科学的发现和对相关理论的考虑为Your Family Connects(www.yourfamilyconnects.org)的内容和实施提供了信息。CS结果显示幸存者喜欢与近亲进行个人接触,但亲属对其他接触方式持开放态度,例如通过卫生专业人员。认识到需要基于关系动态的各种方法,我们实施了一个相对联系菜单,使幸存者能够识别有风险的亲属,并提供多种联系选项(即幸存者联系、卫生专业人员联系和延迟联系)。根据关系自主原则,我们包括了每种选择的利弊,帮助幸存者为每个亲属选择合适的联系方式。讨论:我们开发的干预措施代表了一种新的相对层面理论的应用以及与公民科学家的合作,以扩大遗传服务范围,增加癌症基因组进展公平分配的可能性。作为与佐治亚州癌症登记处合作的随机试验的一部分,Your Family Connects干预与标准外展相比。
期刊介绍:
''Public Health Genomics'' is the leading international journal focusing on the timely translation of genome-based knowledge and technologies into public health, health policies, and healthcare as a whole. This peer-reviewed journal is a bimonthly forum featuring original papers, reviews, short communications, and policy statements. It is supplemented by topic-specific issues providing a comprehensive, holistic and ''all-inclusive'' picture of the chosen subject. Multidisciplinary in scope, it combines theoretical and empirical work from a range of disciplines, notably public health, molecular and medical sciences, the humanities and social sciences. In so doing, it also takes into account rapid scientific advances from fields such as systems biology, microbiomics, epigenomics or information and communication technologies as well as the hight potential of ''big data'' for public health.