ABSTRACT
African Americans (AA) have higher incidence and mortality rates for several cancer types in comparison to their European American (EA) counterparts. Increasing participation in clinical research and patient registries, related to precision cancer medicine, will significantly improve cancer health equity. Many AA cancer patients are treated in community oncology clinics. Unfortunately, these health systems have limited access to Clinical Laboratory Improvement Amendments (CLIA) next generation sequence (NGS) germline and somatic DNA and RNA testing that are used to inform oncologists on the best treatment and/or clinical trial options for cancer patients. Indeed, AA CLIA NGS sample sets are poorly represented, which could presumably result in incomplete knowledge of genomic variants that could affect their treatment and overall outcomes. Hence, it is crucial to implement CLIA NGS efforts for all cancer patients. To address these disparities, Morehouse School of Medicine has formed the Comprehensive Approach to Reimagine health Equity Solutions (CARhES) consortium with Tuskegee University that has engaged community oncology practices in Alabama and Georgia - two of five Black Belt states. The CARhES consortium aims to implement precision cancer medicine to underserved and underrepresented communities that will improve the standard of cancer care by providing access to CLIA NGS testing, clinical trials, and personalized cancer care. Here we describe the first proof of concept of this approach with community oncology partners, i.e., Grady Health System, Wellstar Health System, Georgia Urology, Midtown Urology, and Maui Memorial Medical Center. At the time of consent, saliva, buccal, and tumor samples were collected from participants. Germline and somatic CLIA NGS was performed, and medical reports were returned to practitioners within 14 days. Prior to the COVID pandemic, the study enrolled over 880 patients with a 88% consent rate (n = 1000) in the first 11months of the program. At the start of the COVID pandemic, recruitment efforts were suspended for four months with a slow restart by June 2020. A decrease in the number of staff, office visits (67% reduction), and increase in COVID cases significantly limited recruitment efforts. During this slowdown, we established and improved eConsenting capabilities, which exist today. Community anxiety, due to the pandemic and SARS-CoV-19 vaccine efforts, resulted in a significant reduction in consent rates (88% to 60%). Nevertheless, this study began in April of 2019 and consented 1,750 participants in less than 2 years. Taken together, our study shows that a community-focused precision medicine approach requires meeting people where they are and providing them with access and understanding the benefit of clinical trial participation. The approximate 2,000 clinically annotated genomic AA datasets will greatly contribute to our understanding of cancer health disparities and among the first steps to democratize precision medicine.
ABSTRACT
Background: Provider experience and physician burnout has been recognized as a critical issue in medicine. Ontario, Canada has a single payer cancer system run by Ontario Health (Cancer Care Ontario) with a mandate covering system level planning and delivery of cancer services, funding, and quality improvement. As part of a larger provincial initiative to address clinician burnout, we examined the prevalence and drivers of burnout in practicing physician oncologists in Ontario. Methods: In November-December 2019, surgical, medical, hematological, and radiation oncologists in Ontario were invited to complete an anonymous online survey to assess burnout and its drivers. Burnout prevalence was assessed through the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS MP). Data on demographic, workplace, engagement, and practice profiles were collected. Logistic regression modeling was conducted to assess key variables associated with "high" burnout using a common definition of high scores on the MBI subscales of emotional exhaustion (EE) (> 27) and/or depersonalization (DP) (>10). Results: Response rate to the survey was 44% (n=418) with 72% reporting high levels of burnout. Mean scores for EE (30.7, SD 12.1) and DP (9.9, SD 6.7) were consistent with high burnout. Participants endorsed known drivers of burnout including: 1) a poor culture of wellness at work (e.g., not comfortable talking to leadership (72%), 2) inefficiencies of practice (e.g. feeling insufficient documentation time (67%)) and 3) personal resilience (e.g. not feeling they are contributing professionally in ways they value (21%)). Age (<45yrs) (OR: 2.15), poor/marginal control over workload (OR: 4.42), feeling used/unappreciated (OR: 2.63), working atmosphere that feels hectic/chaotic (OR: 2.68), and insufficient time for documentation requirements (OR: 2.52) significantly impacted the odds of high burnout in the regression model (p<0.05). Conclusions: The high rate of burnout among oncology physicians in a single payer public cancer system in Ontario is concerning for the wellbeing of providers, patients and system sustainability. Drivers important for maintaining a culture of wellness and efficiency of practice will require local, regional and provincial health policy to improve. Next steps will include raising awareness with provincial initiatives/policy to address key burnout drivers, and examining the impact of working under pandemic conditions (Covid-19) on oncologist burnout.