☆ 4.6 Article

Comparison of Tobacco Control Scenarios: Quantifying Estimates of Long-Term Health Impact Using the DYNAMO-HIA Modeling Tool

PLOS ONE (2012)

Journal

PLOS ONE

Volume 7, Issue 2, Pages -

Publisher

PUBLIC LIBRARY SCIENCE

DOI: 10.1371/journal.pone.0032363

Keywords

Funding

EU of the European Commission's Directorate General for Health and Consumer Affairs (DG SANCO)
Erasmus Medical Center Rotterdam
Institute of Public Health and the Environment in the Netherlands
Catalan Institute of Oncology
International Obesity task force
London School for Hygiene and Tropical Medicine
Haughton Institute in Dublin
Instituto Tumori in Milan
Thematic Network of Cooperative Research on Cancer from the Instituto de Salud Carlos III, Government of Spain [RD06/0020/0089]
Ministry of Universities and Research, Government of Catalonia [2009SGR192]

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Community support

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Community support

Abstract

Background: There are several types of tobacco control interventions/policies which can change future smoking exposure. The most basic intervention types are 1) smoking cessation interventions 2) preventing smoking initiation and 3) implementation of a nationwide policy affecting quitters and starters simultaneously. The possibility for dynamic quantification of such different interventions is key for comparing the timing and size of their effects. Methods and Results: We developed a software tool, DYNAMO-HIA, which allows for a quantitative comparison of the health impact of different policy scenarios. We illustrate the outcomes of the tool for the three typical types of tobacco control interventions if these were applied in the Netherlands. The tool was used to model the effects of different types of smoking interventions on future smoking prevalence and on health outcomes, comparing these three scenarios with the business-as-usual scenario. The necessary data input was obtained from the DYNAMO-HIA database which was assembled as part of this project. All smoking interventions will be effective in the long run. The population-wide strategy will be most effective in both the short and long term. The smoking cessation scenario will be second-most effective in the short run, though in the long run the smoking initiation scenario will become almost as effective. Interventions aimed at preventing the initiation of smoking need a long time horizon to become manifest in terms of health effects. The outcomes strongly depend on the groups targeted by the intervention. Conclusion: We calculated how much more effective the population-wide strategy is, in both the short and long term, compared to quit smoking interventions and measures aimed at preventing the initiation of smoking. By allowing a great variety of user-specified choices, the DYNAMO-HIA tool is a powerful instrument by which the consequences of different tobacco control policies and interventions can be assessed.

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CannaCount: an improved metric for quantifying estimates of maximum possible cannabinoid exposure

Ashley M. Lambros, Kelly A. Sagar, M. Kathryn Dahlgren, Deniz Kosereisoglu, Celine El-Abboud, Rosemary T. Smith, Staci A. Gruber

Summary: Increasing numbers of individuals have access to cannabinoid-based products, but current methods for quantifying cannabis exposure do not account for the cannabinoid concentrations. CannaCount is a new metric that quantifies estimated maximum possible cannabinoid exposure by considering variables related to concentration, duration, frequency, and quantity of use. It was successfully used to measure THC and CBD exposure in medical cannabis patients, showing its potential for providing detailed information and facilitating cross-study comparisons.

SCIENTIFIC REPORTS (2023)