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Updated: Dec 21, 2025
Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
Published on: October 21, 2016
An assessment of uncertainty using two different modelling techniques to estimate the cost effectiveness of
Janet Gaskin1, Jeff Whyte2, Doug Coyle3
1Radiation Protection Bureau, Health Canada, 775 Brookfield Road, Ottawa, Canada; School of Epidemiology and Public Health, 600 Peter Morand Crescent, University of Ottawa, Ottawa, Ontario, Canada.
Abstract:
The burden of lung cancer associated with residential radon in existing housing can be reduced by interventions to screen and mitigate existing housing having radon levels above a mitigation threshold. The objective of this study is to estimate the cost effectiveness of radon interventions for screening and mitigation of existing housing for the 2016 population in Canada and to assess the structural uncertainty associated with the choice of model used in the cost-utility analysis. The incremental cost utility ratios are estimated using both a Markov cohort model and a discrete event simulation model. A societal perspective, a lifetime horizon and a discount rate of 1.5% are adopted. At a radon mitigation threshold of 200 (100) Bq/m3, the discounted ICERs for current rates of screening and mitigation of existing housing are 72,569 (68,758) $/QALY using a Markov cohort model and 84,828 (76,917) $/QALY using discrete event simulation. It appears that minimal structural uncertainty is associated with the choice of model used for this cost-utility analysis, and the cost effectiveness would improve at increased rates of radon testing and mitigation. The mitigation of radon in existing housing is estimated to be a practical policy option for reducing the associated lung cancer burden in Canada.
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