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Background: Socioeconomic status (SES) is associated with a range of health outcomes, including cancer diagnosis and survival. However, the evidence for this association is inconsistent between countries with and without single‐payer health care systems. In this study, the relationships between neighborhood‐level income, cancer stage at diagnosis, and cancer‐specific mortality in Alberta, Canada, were evaluated. Methods: The Alberta Cancer Registry was used to identify all primary cancer diagnoses between 2010 and 2020. Average neighborhood income was determined by linking the Canadian census to postal codes and was categorized into quintiles on the basis of income distribution in Alberta. Multivariable multinomial logistic regression was used to model the association between income quintile and stage at diagnosis, and the Fine–Gray proportional subdistribution hazards model was used to estimate the association between SES and cancer‐specific mortality. Results: Out of the 143,818 patients with cancer included in the study, those in lower income quintiles were significantly more likely to be diagnosed at stage III (odds ratio [OR], 1.07; 95% CI [confidence interval], 1.06–1.09) or IV (OR, 1.12; 95% CI, 1.11–1.14) after adjusting for age and sex. Lower income quintiles also had significantly worse cancer‐specific survival for breast, colorectal, liver, lung, non‐Hodgkin lymphoma, oral cavity, pancreas, and prostate cancers. Conclusions: Disparities were observed in cancer outcomes across neighborhood‐level income groups in Alberta, which demonstrates that health inequities by SES exist in countries with single‐payer health care systems. Further research is needed to better understand the underlying causes and to develop strategies to mitigate these disparities. The association between socioeconomic status and cancer outcomes in countries with single‐payer health care systems is inconsistent. In this analysis, lower socioeconomic status was found to be associated with both stage at diagnosis and cancer‐specific mortality of major cancer types in a Canadian province. [ABSTRACT FROM AUTHOR]

The impact of cancer in Alberta is expected to grow considerably, largely driven by population growth and aging. The Future of Cancer Impact (FOCI) initiative offers an overview of the present state of cancer care in Alberta and highlights potential opportunities for research and innovation across the continuum. In this paper, we present a series of detailed projections and analyses regarding cancer epidemiological estimates in Alberta, Canada. Data on cancer incidence and mortality in Alberta (1998–2018) and limited-duration cancer prevalence in Alberta (2000–2019) were collected from the Alberta Cancer Registry. We used the Canproj package in the R software to project these epidemiological estimates up to the year 2040. To estimate the direct management costs, we ran a series of microsimulations using the OncoSim All Cancers Model. Our findings indicate that from 2020, the total number of annual new cancer cases and cancer-related deaths are projected to increase by 56% and 49% by 2040, respectively. From 2019, the five-year prevalence of all cancers in Alberta is projected to increase by 86% by 2040. In line with these trends, the overall direct cost of cancer management is estimated to increase by 53% in 2040. These estimates and projections are integral to future strategic planning and investment. [ABSTRACT FROM AUTHOR]