The evaluation of cancer control interventions in lung cancer using the Canadian Cancer Risk Management Model

Author:

Evans William K1,Wolfson Michael2,Flanagan William M3,Shin Janey45,Goffin John R64,Asakawa Keiko3,Earle Craig78,Mittmann Nicole89,Fairclough Lee5,Finès Philippe3,Gribble Steve3,Hoch Jeffrey81011,Hicks Chantal3,Omariba Walter DR3,Ng Edward3

Affiliation:

1. Juravinski Cancer Centre at Hamilton Health Sciences, Hamilton, ON, Canada.

2. University of Ottawa, Ottawa, ON, Canada

3. Health Analysis & Modeling Divisions, Statistics Canada, Ottawa, ON, Canada

4. McMaster University, Hamilton, ON, Canada

5. Canadian Partnership Against Cancer, Toronto, ON, Canada

6. Juravinski Cancer Centre at Hamilton Health Sciences, Hamilton, ON, Canada

7. Institute for Clinical Evaluative Sciences, Sunnybrook Health Sciences Centre, Toronto, ON, Canada

8. University of Toronto, Toronto, ON, Canada

9. Centre for Health Outcomes & Pharmacoeconomic Evaluation, Sunnybrook Health Sciences Centre & University of Toronto, Toronto, ON, Canada

10. St Michael’s Hospital, Toronto, ON, Canada

11. Pharmacoeconomic Unit, Cancer Care Ontario, Toronto, ON, Canada

Abstract

SUMMARY Background: Rising healthcare costs will increasingly require policy-makers to make difficult decisions based on the potential benefits and costs of new healthcare interventions. The Canadian Partnership Against Cancer commissioned the development of the Cancer Risk Management Model as a tool to aid such decisions. This computer microsimulation model projects future population health and economic impacts of cancer control programs in Canada. Lung cancer was the first simulation module to be developed and was selected because of the magnitude of lung cancer burden in Canada and recent screening and treatment interventions that require policy decisions. Methods: The model simulates one individual life at a time, from birth to death, taking account of Canadian demographic and labor force characteristics, risk factor exposures and health histories, and then combines this information from all the simulated lives to produce aggregate measures of health outcomes for the Canadian population as a whole or for particular subpopulations. The direct costs of medical care can be estimated, as well as lost earnings and impacts on tax revenues. Results: The lung module is available through the Canadian Partnership Against Cancer website to registered users where structured scenarios can be explored for their projected impacts. Conclusion: The Cancer Risk Management Model for lung cancer is now available via the internet to assist healthcare policy analysts, researchers and decision-makers in their work.

Publisher

Future Medicine Ltd

Subject

Pulmonary and Respiratory Medicine,Oncology

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