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Article

A Population-Level Comparison of Cancer-Related and Non-Cancer-Related Health Care Costs Using Publicly Available Provincial Administrative Data

1
Department of Medicine, University of Calgary, Calgary, AB, Canada
2
Department of Oncology, University of Calgary, Calgary, AB, Canada
*
Author to whom correspondence should be addressed.
Curr. Oncol. 2019, 26(2), 94-97; https://doi.org/10.3747/co.26.4399
Submission received: 5 January 2019 / Revised: 4 February 2019 / Accepted: 4 March 2019 / Published: 1 April 2019

Abstract

Introduction: Costs associated with cancer care are increasing. Cancer costs in the context of other common non-cancer diagnoses have not been extensively studied at the population level. Knowledge from such analyses can inform health care resource allocation and highlight strategies to reduce overall costs. Methods: Using cross-sectional data from publicly available population-level administrative data sources (health insurance claims, physician billing, and hospital discharge abstracts), we calculated incidence-adjusted health care costs (in 2014 Canadian dollars) for cancers and common non-cancer diagnoses in the adult population in a large Canadian province. Subgroup analyses were also performed for various provincial health administrative regions. Results: Total costs related to cancer care amounted to $495 million for the province, of which at least $67 million (14%) was attributable to radiation and chemotherapy. Of the various cancer subtypes, hematologic malignancies were most costly at $70 million, accounting for 14% of the total cancer budget. Colon cancer followed at $51 million (10%), and lung cancer, at $44 million (9%). Cancer costs (with and without costs for radiation and chemotherapy) exceeded those for cardiovascular disease, diabetes mellitus, mental health, and trauma (p < 0.001). In addition, the costs of specific cancer subtypes varied by region, but hematologic and lung cancers were typically the most costly no matter the health region. Conclusions: Using provincial administrative data to establish cost trends can help to inform health care allocation and budget decisions, and can facilitate comparisons between provinces.
Keywords: cancer costs; health care costs; administrative databases; health economics cancer costs; health care costs; administrative databases; health economics

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MDPI and ACS Style

Sam, D.; Cheung, W.Y. A Population-Level Comparison of Cancer-Related and Non-Cancer-Related Health Care Costs Using Publicly Available Provincial Administrative Data. Curr. Oncol. 2019, 26, 94-97. https://doi.org/10.3747/co.26.4399

AMA Style

Sam D, Cheung WY. A Population-Level Comparison of Cancer-Related and Non-Cancer-Related Health Care Costs Using Publicly Available Provincial Administrative Data. Current Oncology. 2019; 26(2):94-97. https://doi.org/10.3747/co.26.4399

Chicago/Turabian Style

Sam, D., and W.Y. Cheung. 2019. "A Population-Level Comparison of Cancer-Related and Non-Cancer-Related Health Care Costs Using Publicly Available Provincial Administrative Data" Current Oncology 26, no. 2: 94-97. https://doi.org/10.3747/co.26.4399

APA Style

Sam, D., & Cheung, W. Y. (2019). A Population-Level Comparison of Cancer-Related and Non-Cancer-Related Health Care Costs Using Publicly Available Provincial Administrative Data. Current Oncology, 26(2), 94-97. https://doi.org/10.3747/co.26.4399

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