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Performance and Cost-Effectiveness of Computed Tomography Lung Cancer Screening Scenarios in a Population-Based Setting: A Microsimulation Modeling Analysis in Ontario, Canada

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  • Kevin ten Haaf
  • Martin C Tammemägi
  • Susan J Bondy
  • Carlijn M van der Aalst
  • Sumei Gu
  • S Elizabeth McGregor
  • Garth Nicholas
  • Harry J de Koning
  • Lawrence F Paszat

Abstract

Background: The National Lung Screening Trial (NLST) results indicate that computed tomography (CT) lung cancer screening for current and former smokers with three annual screens can be cost-effective in a trial setting. However, the cost-effectiveness in a population-based setting with >3 screening rounds is uncertain. Therefore, the objective of this study was to estimate the cost-effectiveness of lung cancer screening in a population-based setting in Ontario, Canada, and evaluate the effects of screening eligibility criteria. Methods and Findings: This study used microsimulation modeling informed by various data sources, including the Ontario Health Insurance Plan (OHIP), Ontario Cancer Registry, smoking behavior surveys, and the NLST. Persons, born between 1940 and 1969, were examined from a third-party health care payer perspective across a lifetime horizon. Starting in 2015, 576 CT screening scenarios were examined, varying by age to start and end screening, smoking eligibility criteria, and screening interval. Among the examined outcome measures were lung cancer deaths averted, life-years gained, percentage ever screened, costs (in 2015 Canadian dollars), and overdiagnosis. The results of the base-case analysis indicated that annual screening was more cost-effective than biennial screening. Scenarios with eligibility criteria that required as few as 20 pack-years were dominated by scenarios that required higher numbers of accumulated pack-years. In general, scenarios that applied stringent smoking eligibility criteria (i.e., requiring higher levels of accumulated smoking exposure) were more cost-effective than scenarios with less stringent smoking eligibility criteria, with modest differences in life-years gained. Annual screening between ages 55–75 for persons who smoked ≥40 pack-years and who currently smoke or quit ≤10 y ago yielded an incremental cost-effectiveness ratio of $41,136 Canadian dollars ($33,825 in May 1, 2015, United States dollars) per life-year gained (compared to annual screening between ages 60–75 for persons who smoked ≥40 pack-years and who currently smoke or quit ≤10 y ago), which was considered optimal at a cost-effectiveness threshold of $50,000 Canadian dollars ($41,114 May 1, 2015, US dollars). If 50% lower or higher attributable costs were assumed, the incremental cost-effectiveness ratio of this scenario was estimated to be $38,240 ($31,444 May 1, 2015, US dollars) or $48,525 ($39,901 May 1, 2015, US dollars), respectively. If 50% lower or higher costs for CT examinations were assumed, the incremental cost-effectiveness ratio of this scenario was estimated to be $28,630 ($23,542 May 1, 2015, US dollars) or $73,507 ($60,443 May 1, 2015, US dollars), respectively. Conclusions: Lung cancer screening with stringent smoking eligibility criteria can be cost-effective in a population-based setting. In a microsimulation modelling analysis of a population in Ontario, Canada, Kevin ten Haaf and colleagues compare 576 different lung cancer screening policies with different screening frequencies and eligibility criteria.Why Was This Study Done?: What Did the Researchers Do and Find?: What Do These Findings Mean?:

Suggested Citation

  • Kevin ten Haaf & Martin C Tammemägi & Susan J Bondy & Carlijn M van der Aalst & Sumei Gu & S Elizabeth McGregor & Garth Nicholas & Harry J de Koning & Lawrence F Paszat, 2017. "Performance and Cost-Effectiveness of Computed Tomography Lung Cancer Screening Scenarios in a Population-Based Setting: A Microsimulation Modeling Analysis in Ontario, Canada," PLOS Medicine, Public Library of Science, vol. 14(2), pages 1-20, February.
  • Handle: RePEc:plo:pmed00:1002225
    DOI: 10.1371/journal.pmed.1002225
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    Cited by:

    1. Deborah J Schofield & Melanie J B Zeppel & Owen Tan & Sharyn Lymer & Michelle M Cunich & Rupendra N Shrestha, 2018. "A Brief, Global History of Microsimulation Models in Health: Past Applications, Lessons Learned and Future Directions," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 97-142.
    2. Mohamed N. M. T. Al Khayat & Job F. H. Eijsink & Maarten J. Postma & Ewoudt M. W. Garde & Marinus Hulst, 2022. "Cost-effectiveness of screening smokers and ex-smokers for lung cancer in the Netherlands in different age groups," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1221-1227, September.

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