PURPOSE: Provider well-being has become the fourth pillar of the quadruple aim for providing quality care. Exacerbated by the global COVID-19 pandemic, provider well-being has become a critical issue for health care systems worldwide. We describe the prevalence and key system-level drivers of burnout in oncologists in Ontario, Canada. METHODS: This is a cross-sectional survey study conducted in November-December 2019 of practicing cancer care physicians (surgical, medical, radiation, gynecologic oncology, and hematology) in Ontario, Canada. Ontario is Canada's largest province (with a population of 14.5 million), and has a single-payer publicly funded cancer system. The primary outcome was burnout experience assessed through the Maslach Burnout Inventory. RESULTS: A total of 418 physicians completed the questionnaire (response rate was 44% among confirmed oncologists). Seventy-three percent (n = 264 of 362) of oncologists had symptoms of burnout (high emotional exhaustion and/or depersonalization scores). Significant drivers of burnout identified in multivariable regression modeling included working in a hectic or chaotic atmosphere (odds ratio [OR] = 15.5; 95% CI, 3.4 to 71.5; P < .001), feeling unappreciated on the job (OR = 7.9; 95% CI, 2.9 to 21.3; P < .001), reporting poor or marginal control over workload (OR = 7.9; 95% CI, 2.9 to 21.3; P < .001), and not being comfortable talking to peers about workplace stress (OR = 3.0; 95% CI, 1.1 to 7.9; P < .001). Older age (≥ 56 years) was associated with lower odds of burnout (OR = 0.16; 95% CI, 0.1 to 0.4; P < .001). CONCLUSION: Nearly three quarters of participants met predefined standardized criteria for burnout. This number is striking, given the known impact of burnout on provider mental health, patient safety, and quality of care, and suggests Oncologists in Ontario may be a vulnerable group that warrants attention. Health care changes being driven by the COVID-19 pandemic provide an opportunity to rebuild new systems that address drivers of burnout. Creating richer peer-to-peer and leadership engagement opportunities among early- to mid-career individuals may be a worthwhile organizational strategy.

Background:A standardized definition and approach for the delivery of person-centered care (PCC) in cancer care that is agreed upon by all key policy makers and clinicians is lacking. The PCC Guideline defines core PCC principles to outline a level of service that every person accessing cancer services in Ontario, Canada should expect to receive. This article describes the dissemination of the PCC Guideline in practice.Methods:Three strategies were utilized: (1) educational intervention via a PCC video, (2) media engagement, and (3) research/knowledge user networks.Results:As of October 2016, the PCC video has been viewed 7745 times across 92 countries. Significant mean differences pre- and post-PCC video were found for understanding of PCC principles (P < .001) and perceived ability to bring these PCC principles to practice (P < .001). Through content analysis, the PCC Guideline recommendations were referenced 236 times, with “Enabling Patients to Actively Participate in their Care” (n = 81), and “Essential Requirements of Care” (n = 79) being referenced most frequently.Conclusions:These strategies are an effective way to target multiple PCC stakeholders in the health-care system to increase awareness of the PCC Guideline, in order to further impart knowledge of PCC behaviors.

41 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.

204 Background: Your Voice Matters (YVM) is a 28-item patient experience survey for adult cancer outpatients undergoing treatment in Ontario.The purpose was to examine patient and visit characteristics associated with YVM responses. Methods: YVM was administered to eligible patients (n=8,704) at 14 centres in 2017.Respondents answered items on a five-point Likert scale (4 or 5 = positive response). A multivariable logistic regression (MLR) was undertaken for each YVM item.Variables (reference group) included: disease site (heamatology), age group (65+), sex (female), rurality (urban), last visit type (consult), income quintile(highest) and immigration tercile (lowest). Significant results ( p<.05) vary by MLR model. Therefore a p-value range is provided for all significant variables for all MLR models. Results: Patients were more likely to have a less positive experience if they had central nervous system ( p =.000-.013), gastrointestinal ( p =.004-.026), head and neck ( p =.002-.025), or lung cancer ( p =.017-.049); were between the ages of 18-39 years ( p = <.0001-.048); were female ( p =.0001-.022); received chemotherapy( p =.0001-.047); lived in a rural location ( p =.042); from a mid-( p =.027-.045) and mid-high income quartile ( p =.021); and in the high- ( p =.002-.043) and middle-immigrant terciles ( p =.028-.047), when compared to the reference group. Patient were more likely to have a more positive experience if they had skin cancer ( p =.004-.032); were between the ages of 40-64 years ( p =.003-.033); receiving radiation ( p =.0001-.041) or a minor procedure ( p =.015); and were from the mid-low ( p =.003-.042) and low income quartile ( p =.001-.032), when compared to the reference group. Conclusions: The cancer patient experience varies by patient and visit characteristics. Future initiatives should examine these characteristics to better understand their populations to create a more tailored approaches to cancer care.

223 Background: In the Ontario, Canada, cancer system, the provincially endorsed Person Centred Care (PCC) Guideline provides recommendations for healthcare providers to implement PCC in the delivery of adult oncology services. However, it is unknown whether healthcare providers have incorporated these recommendations into their daily practice within the Regional Cancer Programs (RCPs). The purpose of this study was to develop an assessment tool to evaluate the implementation of the PCC Guideline in Ontario RCPs. Methods: Tool development consisted of a 3-step process: 1) literature review to identify relevant measures, 2) Modified Delphi with a panel of experts (n = 8), and 3) focus groups with patient/family advisors (n = 5) and RCP PCC leads (i.e., designated individual responsible for PCC deliverables) (n = 7). Results: Through the literature review, two relevant tools were identified ( i.e., Institute for Patient- and Family-Centered Care’s Hospital Assessment Tool and Accreditation Canada’s Cancer Care Standards), resulting in 187 measures deemed appropriate to include in the assessment tool. In round one of the Modified Delphi, each measure was evaluated independently by a panel of experts using a 5-point Likert Scale (1 = strongly disagree to 5 = strongly agree) to assess both the importance and feasibility of each measure. Sixty-seven measures were rated 4 or above by 70% of the experts. Consistent with Modified Delphi best practice, these measures were discussed during the second round with the panel of experts. An additional 33 measures were removed due to similarities/duplications. Nine measures were added. The 42 measures were presented to patient/family advisors and the RCP PCC Leads during focus groups and evaluated based on importance and feasibility of assessing PCC implementation in the RCPs. Wording recommendations were made and two additional measures were added. The final tool includes 44 measures to evaluate PCC implementation within the RCPs. The assessment tool was disseminated to the 14 RCPs in October 2016. Conclusions: The results of this assessment will provide an understanding of the current state of PCC Guideline implementation in Ontario, in order to identify facilitators and barriers to implementation.