Key Points Question Did the delivery of services within a cancer system change during the first year of the COVID-19 pandemic? Findings This population-based cohort study conducted in Ontario, Canada, found a total of 4 476 693 cancer care services during the first year of the COVID-19 pandemic, compared with 5 644 105 services in the year prior, representing a reduction of 20.7% and suggesting a backlog of 1 167 412 cancer services during the first pandemic year. Limited change was observed in systemic treatments and emergency or urgent imaging examinations and surgical procedures, while major reductions were observed in cancer screening tests, biopsies, surgical treatments, and new consultations for systemic and radiation treatment. Meaning These findings provide evidence on the deficits in cancer care that occurred during the first year of the COVID-19 pandemic that are likely to inform continued delivery of care, recovery, and future pandemic planning.

IMPORTANCEIn response to an increase in COVID-19 infection rates in Ontario, several systemic treatment (ST) regimens delivered in the adjuvant setting for breast cancer were temporarily permitted for neoadjuvant-intent to defer nonurgent breast cancer surgical procedures. OBJECTIVE To examine the use and compare short-term outcomes of neoadjuvant-intent vs adjuvant ST in the COVID-19 era compared with the pre-COVID-19 era. DESIGN, SETTING, AND PARTICIPANTS This was a retrospective population-based cohort study inOntario, Canada. Patients with cancer starting selected ST regimens in the COVID-19 era (March 11, 2020, to September 30, 2020 were compared to those in the pre-COVID-19 era (March 11, 2019, to March 10, 2020. Patients were diagnosed with breast cancer within 6 months of starting systemic therapy. MAIN OUTCOMES AND MEASURESEstimates were calculated for the use of neoadjuvant vs adjuvant ST, the likelihood of receiving a surgical procedure, the rate of emergency department visits, hospital admissions, COVID-19 infections, and all-cause mortality between treatment groups over time. RESULTS Among a total of 10 920 patients included, 7990 (73.2%) started treatment in the pre-COVID-19 era and 7344 (67.3%) received adjuvant ST; the mean (SD) age was 61.6 (13.1) years.Neoadjuvant-intent ST was more common in the COVID-19 era (1404 of 2930 patients [47.9%]) than the pre-COVID-19 era (2172 of 7990 patients [27.2%]), with an odds ratio of 2.46 (95% CI, 2.26-2.69; P < .001). This trend was consistent across a range of ST regimens, but differed according to patient age and geography. The likelihood of receiving surgery following neoadjuvant-intent chemotherapy was similar in the COVID-19 era compared with the pre-COVID-19 era (log-rank P = .06). However, patients with breast cancer receiving neoadjuvant-intent hormonal therapy were significantly more likely to receive surgery in the COVID-19 era (log-rank P < .001). After adjustment, there were no significant changes in the rate of emergency department visits over time between patients receiving neoadjuvant ST, adjuvant ST, or ST only during the ST treatment period or postoperative period.Hospital admissions decreased in the COVID-19 era for patients who received neoadjuvant ST compared with adjuvant ST or ST alone (P for interaction = .01 for both) in either setting. CONCLUSIONS AND RELEVANCEIn this cohort study, patients were more likely to start neoadjuvant ST in the COVID-19 era, which varied across the province and by indication. There was limited evidence to suggest any substantial impact on short-term outcomes.

BackgroundAdvanced pancreatic cancer (APC) patients often have substantial symptom burden. In Ontario, patients routinely complete the Edmonton Symptom Assessment Scale (ESAS), which screens for nine symptoms (scale: 0‐10), in cancer clinics. We explored the association between baseline patient‐reported outcomes, via ESAS, and overall survival (OS).MethodsAdvanced pancreatic cancer patients with ESAS records prior to receiving publicly funded drugs from November 2008 to March 2016 were retrospectively identified from Cancer Care Ontario's administrative databases. We examined three composite ESAS scores: total symptom distress score (TSDS: 9 symptoms), physical symptom score (PHS: 6/9 symptoms), and psychological symptom score (PSS: 2/9 symptoms); Composite scores greater than defined thresholds (TSDS ≥36, PHS ≥24, PSS ≥8) were considered as high symptom burden. Crude OS was assessed using Kaplan‐Meier method. Hazard ratios (HRs) were assessed using multivariable Cox models. Analysis was repeated in a sub‐cohort with Eastern Cooperative Oncology Group (ECOG) status and metastasis.ResultsWe identified 2199 APC patients (mean age 64 years, 55% male) with ESAS records prior to receiving chemotherapy. Crude median survival was 4.5 and 7.3 months for high and low TSDS, respectively. High TSDS was associated with lower OS (HR = 1.47, 95% CI: 1.33, 1.63). In the sub‐cohort (n = 393) with ECOG status and metastasis, high TSDS was also associated with lower OS (HR = 1.34, 95% CI: 1.04, 1.73). Similar trends were observed for PHS and PSS.ConclusionsHigher burden of patient‐reported outcome was associated with reduced OS among APC patients. The effect was prominent after adjusting for ECOG status.

The Canadian Real-world Evidence for Value of Cancer Drugs (CanREValue) collaboration developed an MCDA rating tool to assess and prioritize potential post-market real-world evidence (RWE) questions/uncertainties emerging from public drug funding decisions in Canada. In collaboration with a group of multidisciplinary stakeholders from across Canada, the rating tool was developed following a three-step process: (1) selection of criteria to assess the importance and feasibility of an RWE question; (2) development of rating scales, application of weights and calculating aggregate scores; and (3) validation testing. An initial MCDA rating tool was developed, composed of seven criteria, divided into two groups. Group A criteria assess the importance of an RWE question by examining the (1) drug’s perceived clinical benefit, (2) magnitude of uncertainty identified, and (3) relevance of the uncertainty to decision-makers. Group B criteria assess the feasibility of conducting an RWE analysis including the (1) feasibility of identifying a comparator, (2) ability to identify cases, (3) availability of comprehensive data, and (4) availability of necessary expertise and methodology. Future directions include partnering with the Canadian Agency for Drugs and Technology in Health’s Provincial Advisory Group for further tool refinement and to gain insight into incorporating the tool into drug funding deliberations.