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Current Oncology
Volume 24
Issue 6
10.3747/co.24.3850
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Current Oncology is published by MDPI from Volume 28 Issue 1 (2021). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Multimed Inc..
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Short Communication

The OncoSim Model: Development and Use for Better Decision-Making in Canadian Cancer Control

by
Cindy L. Gauvreau
1,*,
N. R. Fitzgerald
1,
S. Memon
1,
W. M. Flanagan
2,
C. Nadeau
2,
K. Asakawa
2,
R. Garner
2,
A. B. Miller
3,
W. K. Evans
4,
C. M. Popadiuk
5,
M. Wolfson
6 and
A. J. Coldman
7
1
Health Economics, Canadian Partnership Against Cancer, 900-145 King Street West, Toronto, ON M5H 1J8, Canada
2
Health Analysis, Statistics Canada, Ottawa, ON, Canada
3
Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
4
Department of Oncology, McMaster University, Hamilton, ON, Canada
5
Faculty of Medicine, Memorial University, St. John’s, NL, Canada
6
School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, ON, Canada
7
Cancer Control Research, BC Cancer Research Centre, Vancouver, BC, Canada
*
Author to whom correspondence should be addressed.
Curr. Oncol. 2017, 24(6), 401-406; https://doi.org/10.3747/co.24.3850
Submission received: 4 September 2017 / Revised: 5 October 2017 / Accepted: 6 November 2017 / Published: 1 December 2017

Abstract

The Canadian Partnership Against Cancer was created in 2007 by the federal government to accelerate cancer control across Canada. Its OncoSim microsimulation model platform, which consists of a suite of specific cancer models, was conceived as a tool to augment conventional resources for population-level policy- and decision-making. The Canadian Partnership Against Cancer manages the OncoSim program, with funding from Health Canada and model development by Statistics Canada. Microsimulation modelling allows for the detailed capture of population heterogeneity and health and demographic history over time. Extensive data from multiple Canadian sources were used as inputs or to validate the model. OncoSim has been validated through expert consultation; assessments of face validity, internal validity, and external validity; and model fit against observed data. The platform comprises three in-depth cancer models (lung, colorectal, cervical), with another in-depth model (breast) and a generalized model (25 cancers) being in development. Unique among models of its class, OncoSim is available online for public sector use free of charge. Users can customize input values and output display, and extensive user support is provided. OncoSim has been used to support decision-making at the national and jurisdictional levels. Although simulation studies are generally not included in hierarchies of evidence, they are integral to informing cancer control policy when clinical studies are not feasible. OncoSim can evaluate complex intervention scenarios for multiple cancers. Canadian decision-makers thus have a powerful tool to assess the costs, benefits, cost-effectiveness, and budgetary effects of cancer control interventions when faced with difficult choices for improvements in population health and resource allocation.
Keywords: OncoSim; cancer modelling; cancer outcome projections; cancer control; cancer system resource allocation OncoSim; cancer modelling; cancer outcome projections; cancer control; cancer system resource allocation

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MDPI and ACS Style

Gauvreau, C.L.; Fitzgerald, N.R.; Memon, S.; Flanagan, W.M.; Nadeau, C.; Asakawa, K.; Garner, R.; Miller, A.B.; Evans, W.K.; Popadiuk, C.M.; et al. The OncoSim Model: Development and Use for Better Decision-Making in Canadian Cancer Control. Curr. Oncol. 2017, 24, 401-406. https://doi.org/10.3747/co.24.3850

AMA Style

Gauvreau CL, Fitzgerald NR, Memon S, Flanagan WM, Nadeau C, Asakawa K, Garner R, Miller AB, Evans WK, Popadiuk CM, et al. The OncoSim Model: Development and Use for Better Decision-Making in Canadian Cancer Control. Current Oncology. 2017; 24(6):401-406. https://doi.org/10.3747/co.24.3850

Chicago/Turabian Style

Gauvreau, Cindy L., N. R. Fitzgerald, S. Memon, W. M. Flanagan, C. Nadeau, K. Asakawa, R. Garner, A. B. Miller, W. K. Evans, C. M. Popadiuk, and et al. 2017. "The OncoSim Model: Development and Use for Better Decision-Making in Canadian Cancer Control" Current Oncology 24, no. 6: 401-406. https://doi.org/10.3747/co.24.3850

APA Style

Gauvreau, C. L., Fitzgerald, N. R., Memon, S., Flanagan, W. M., Nadeau, C., Asakawa, K., Garner, R., Miller, A. B., Evans, W. K., Popadiuk, C. M., Wolfson, M., & Coldman, A. J. (2017). The OncoSim Model: Development and Use for Better Decision-Making in Canadian Cancer Control. Current Oncology, 24(6), 401-406. https://doi.org/10.3747/co.24.3850

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