A model for the return and referral of all clinically significant secondary findings of genomic sequencing.

Secondary findings (SFs) identified through genomic sequencing (GS) can offer a wide range of health benefits to patients. Resource and capacity constraints pose a challenge to their clinical management; therefore, clinical workflows are needed to optimise the health benefits of SFs. In this paper, we describe a model we created for the return and referral of all clinically significant SFs, beyond medically actionable results, from GS. As part of a randomised controlled trial evaluating the outcomes and costs of disclosing all clinically significant SFs from GS, we consulted genetics and primary care experts to determine a feasible workflow to manage SFs. Consensus was sought to determine appropriate clinical recommendations for each category of SF and which clinician specialist would provide follow-up care. We developed a communication and referral plan for each category of SFs. This involved referrals to specialised clinics, such as an Adult Genetics clinic, for highly penetrant medically actionable findings. Common and non-urgent SFs, such as pharmacogenomics and carrier status results for non-family planning participants, were directed back to the family physician (FP). SF results and recommendations were communicated directly to participants to respect autonomy and to their FPs to support follow-up of SFs. We describe a model for the return and referral of all clinically significant SFs to facilitate the utility of GS and promote the health benefits of SFs. This may serve as a model for others returning GS results transitioning participants from research to clinical settings.

Stay at home: implementation and impact of virtualising cancer genetic services during COVID-19.

The COVID-19 pandemic has led to the rapid adoption of virtual clinic processes and healthcare delivery. Herein, we examine the impact of virtualising genetics services at Canada's largest cancer centre. A retrospective review was conducted to evaluate relevant metrics during the 12 weeks prior to and during virtual care, including referral and clinic volumes, patient wait times and genetic testing uptake. The number of appointments and new patients seen were maintained during virtual care. Likewise, there was a significant increase in the number of patients offered testing during virtual care who did not provide a blood sample (176/180 (97.7%) vs 180/243 (74.1%); p<0.001), and a longer median time from the date of pretest genetic counselling to the date a sample was given (0 vs 11 days; p<0.001). Referral volumes significantly decreased during virtual care (35 vs 22; p<0.001), which was accompanied by a decreased median wait time for first appointment (55 days vs 30 days; p<0.001). The rapid virtualisation of cancer genetic services allowed the genetics clinic to navigate the COVID-19 pandemic without compromising clinical volumes or access to genetic testing. There was a decrease in referral volumes and uptake of genetic testing, which may be attributable to pandemic-related clinical restrictions.