
A Population-Level Comparison of Cancer-Related and Non-Cancer-Related Health Care Costs Using Publicly Available Provincial Administrative Data
Author(s) -
Davis Sam,
Winson Y. Cheung
Publication year - 2019
Publication title -
current oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.053
H-Index - 51
eISSN - 1718-7729
pISSN - 1198-0052
DOI - 10.3747/co.26.4399
Subject(s) - medicine , health care , population , cancer , context (archaeology) , lung cancer , environmental health , family medicine , gerontology , economic growth , geography , archaeology , economics
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.