Development of an Electronic Decision Aid Tool to Facilitate Mainstream Genetic Testing in Ovarian Cancer Patients.

BACKGROUND: Multigene panel testing is an important component of cancer treatment plans and risk assessment, but there are many different panel options and choosing the most appropriate panel can be challenging for health care providers and patients. Electronic tools have been proposed to help patients make informed decisions about which gene panel to choose by considering their preferences and priorities. MATERIALS AND METHODS: An electronic decision aid (DA) tool was developed in line with the International Patient Decision Aids Standards collaboration. The multidisciplinary project team collaborated with an external health care communications agency and the MGH Cancer Center Patient and Family Advisory Council (PFAC) to develop the DA. Surveys of genetic counselors and patients were used to scope the content, and alpha testing was used to refine the design and content. RESULTS: Surveys of genetic counselors (n = 12) and patients (n = 228) identified common themes in discussing panel size and strategies for helping patients decide between panels and in identifying confusing terms for patients and distribution of patients' choices. The DA, organized into 2 major sections, provides educational text, graphics, and videos to guide patients through the decision-making process. Alpha testing feedback from the PFAC (n = 4), genetic counselors (n = 3) and a group of lay people (n = 8) identified areas to improve navigation, simplify wording, and improve layout. CONCLUSION: The DA developed in this study has the potential to facilitate informed decision-making by patients regarding cancer genetic testing. The distinctive feature of this DA is that it addresses the specific question of which multigene panel may be most suitable for the patient. Its acceptability and effectiveness will be evaluated in future studies.

Patient decisions regarding cancer gene panel testing: An exploratory study.

This study examined factors associated with the selection of a specific multi-gene panel test by patients in a cancer genetic counseling clinic. We surveyed patients who received pre-test genetic counseling at the Massachusetts General Hospital Center for Cancer Risk Assessment (CCRA) in 2019 and their genetic counselors to assess demographic and clinical characteristics, patient concerns, and session outcome. Ultimately, 228 eligible participants completed the survey, of whom 85.1% consented to genetic testing. Of those who chose testing, 56.2% selected the largest panel type available, a pan-cancer panel that included both actionable and inactionable genes. White patients were more likely than non-white patients to pursue testing. Among testers, number of testing options offered, participant educational attainment, age, and NCCN Guidelines status were associated with patient choice between four panel options. Some patient concerns, including impact of results on future cancer screening and family dynamics, were also linked to test choice. Several other participant characteristics including income, cancer diagnosis, and family structure did not appear to be predictive of testing choice. Our results confirmed the patient preference for large gene panels and identified a limited number of associations between patient characteristics and concerns and testing choice. We noted however that a significant number of participants did not choose the most commonly selected test, and that test choice is difficult to predict based on clinical and demographic factors. Our results also provide further evidence of well-documented disparities in cancer genetic testing. Study limitations do not allow our findings to be generalized to all cancer genetic counseling patients. Further research is needed to examine how and why patients choose between multiple genetic test options in the cancer setting. This study was one of the first to examine patient choice between a full spectrum of multi-gene panel options.

Transition to telephone genetic counseling services during the COVID-19 pandemic.

The COVID-19 pandemic has significantly disrupted the delivery of healthcare services, including oncology. To ensure continuity of cancer genetic counseling at a large academic medical center while also promoting the safety of patients and staff, our team transitioned to fully remote telephone genetic counseling and testing services within 48 hr. We compare differences in the six weeks following the shift to telephone genetic counseling (post-COVID) to the six weeks preceding the pandemic (pre-COVID). We maintained 99% of our total visit capacity and saw a decrease in patient no-show rate from 9.5% to 7.3%. Of all patients who received telephone genetic counseling, fewer consented to genetic testing as compared to patients seen in-person prior to the pandemic (79% pre-COVID v. 72% post-COVID; p = .012). Four weeks after this cohort was closed for analysis, 96 out of 303 samples (32%) had not been received by the genetic testing laboratory, despite at least one reminder phone call to the patient. In 13 reported instances, a second sample was required (quality not sufficient, lost or mislabeled sample), thus delaying test results. We conclude that a rapid transition to remote genetic counseling and testing allowed uninterrupted access to cancer genetics services during to the COVID-19 pandemic. Patient compliance with sample return and higher rates of sample failure emerge as potential barriers to timely genetic testing under this service delivery model.

Experiences of Genetic Counselors Practicing in Rural Areas.

In-person genetic counseling clinics in rural areas are likely to improve access to genetic counseling in underserved regions, but studies have not previously examined how these clinics function or described the experience of practicing in a rural setting. The present mixed-methods study explored the professional experiences of clinical genetic counselors who practice in rural areas, including the benefits and challenges of practicing in these settings and the counselors' motivations for doing so. The authors surveyed 20 genetic counselors who self-reported working in rural areas and conducted interviews with six individuals whose workplaces were confirmed as rural per RUCA code. Major obstacles to the provision of genetics services in rural areas included travel distance and low referral rates due to lack of awareness or skepticism. Facilitating factors included relying on resources such as professional networks and prioritizing outreach and education. Participants reported high professional satisfaction and were motivated to work in rural areas by personal experiences and qualities of the job such as being a generalist and having greater professional autonomy. These data demonstrate the feasibility of practicing in rural settings and suggest that in-person rural genetic counseling clinics may complement other strategies such as alternative service delivery models in increasing access for rural residents.

Finding a Balance: Reconciling the Needs of the Institution, Patient, and Genetic Counselor for Optimal Resource Utilization.

The current practice of cancer genetic counseling is undergoing widespread change and scrutiny. While there are clinical resources for genetic counselors (GCs) regarding the delivery of cancer genetic services, there is limited literature regarding effective management of a genetic counseling clinical program. We have developed administrative tools to manage a large team of GCs at a single academic medical center over a period of increasing demand for genetics services, with the initial aim of decreasing wait time for urgent genetic counseling visits. Here, we describe the three main elements of the clinical operations: Balancing patient volume between GCs, scheduling tracks for both routine and urgent appointments, and a team of triaging GCs to ensure appropriate patient referrals. For each of these elements, we describe how they have been modified over time and present data to support the utility of these strategies. The preliminary evidence offered here suggests that these tools allow for an equitable distribution of patient volume between team members, as well as the timely and accurate scheduling of urgent patients. As a result of the experiences presented here, other genetic counseling programs grappling with similar issues should be aware that it is possible to shift clinical operations to serve certain patient populations in a more timely fashion while keeping both providers and GC staff satisfied.