Your Family Connects: A Theory-Based Intervention to Encourage Communication about Possible Inherited Cancer Risk among Ovarian Cancer Survivors and Close Relatives.

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.

Applying citizen science to engage families affected by ovarian cancer in developing genetic service outreach strategies.

Citizen science (CS) approaches involving non-professional researchers (citizens) as research collaborators has been used infrequently in health promotion generally and specifically, in cancer prevention. Standardized CS approaches may be especially useful for developing communication interventions to encourage families to consider cancer genetic services. We engaged survivors of ovarian cancer and their close relatives as CS collaborators to collect and help interpret data to inform content for a website, printed invitation materials, and short-message reminders. We applied an implementation quality framework, and posed four research questions regarding the feasibility of CS: recruitment, data collection, data quality and evaluation of the experience. CS members were recruited through three networks: clinical sites, local and national cancer support organizations, and online ovarian cancer patient support groups. The professional research team operationalized theory-aligned CS tasks, five data collection options, question banks/scripts for creating surveys, structured interviews, online training and ongoing support from research coaches. 14 CS members agreed to the 12-week and 20-hour commitment for an honorarium. CS members opted to do both qualitative and quantitative assessments. CS members collected 261 surveys and 39 structured interviews. The largest number of surveys were collected for Task 1 (n = 102) to assess survivors' reactions to different possible options for motivating survivors to visit a study website; 77% of this data were complete (i.e., no missing values). Data collected for tasks 2, 3, 4, and 5 (e.g., assessment of survivors' and relatives' respective communication preferences) ranged from 10 to 58 surveys (80% to 84% completeness). All data were collected within the specified time frame. CSs reported 17 hours of work on average and regarded the experience positively. Our experience suggests that CS engagement is feasible, can yield comprehensive quantitative and qualitative data, and is achievable in a relatively a short timeline.