Measuring quality and value in genetic counseling: The current landscape and future directions.

Genetic counselors strive to provide high-quality genetic services. To do so, it is essential to define quality in genetic counseling and identify opportunities for improvement. This Professional Issues article provides an overview of the evaluation of healthcare quality in genetic counseling. The National Society of Genetic Counselors' Research, Quality, and Outcomes Committee partnered with Discern Health, a value-based healthcare policy consulting firm, to develop a care continuum model of genetic counseling. Using the proposed model, currently available quality measures relevant to genetic counseling in the US healthcare system were assessed, allowing for the identification of gaps and priority areas for further development. A total of 560 quality measures were identified that can be applied to various aspects of the care continuum model across a range of clinical specialty areas in genetic counseling, although few measures were specific to genetic counseling or genetic conditions. Areas where quality measures were lacking included: attitudes toward genetic testing, family communication, stigma, and issues of justice, equity, diversity, and inclusion. We discuss these findings and other strategies for an evidence-based approach to quality in genetic counseling. Strategic directions for the genetic counseling profession should include a consolidated approach to research on quality and value of genetic counseling, development of quality metrics and patient-experience measures, and engagement with other improvement activities. These strategies will allow for benchmarking, performance improvement, and future implementation in accountability programs which will strengthen genetic counseling as a profession that provides evidence-based high-quality care to all patients.

Leveraging population-based exome screening to impact clinical care: The evolution of variant assessment in the Geisinger MyCode research project.

Exome and genome sequencing are increasingly utilized in research studies and clinical care and can provide clinically relevant information beyond the initial intent for sequencing, including medically actionable secondary findings. Despite ongoing debate about sharing this information with patients and participants, a growing number of clinical laboratories and research programs routinely report secondary findings that increase the risk for selected diseases. Recently, there has been a push to maximize the potential benefit of this practice by implementing proactive genomic screening at the population level irrespective of medical history, but the feasibility of deploying population-scale proactive genomic screening requires scaling key elements of the genomic data evaluation process. Herein, we describe the motivation, development, and implementation of a population-scale variant-first screening pipeline combining bioinformatics-based filtering with a manual review process to screen for clinically relevant findings in research exomes generated through the DiscovEHR collaboration within Geisinger's MyCode® research project. Consistent with other studies, this pipeline yields a screen-positive detection rate between 2.1 and 2.6% (depending on inclusion of those with prior indication-based testing) in 130,048 adult MyCode patient-participants screened for clinically relevant findings in 60 genes. Our variant-first pipeline affords cost and time savings by filtering out negative cases, thereby avoiding analysis of each exome one-by-one, as typically employed in the diagnostic setting. While research is still needed to fully appreciate the benefits of population genomic screening, MyCode provides the first demonstration of a program at scale to help shape how population genomic screening is integrated into routine clinical care.