Dataset Information

Novel microsimulation model of tobacco use behaviours and outcomes: calibration and validation in a US population.

ABSTRACT: BACKGROUND AND OBJECTIVE:Simulation models can project effects of tobacco use and cessation and inform tobacco control policies. Most existing tobacco models do not explicitly include relapse, a key component of the natural history of tobacco use. Our objective was to develop, calibrate and validate a novel individual-level microsimulation model that would explicitly include smoking relapse and project cigarette smoking behaviours and associated mortality risks. METHODS:We developed the Simulation of Tobacco and Nicotine Outcomes and Policy (STOP) model, in which individuals transition monthly between tobacco use states (current/former/never) depending on rates of initiation, cessation and relapse. Simulated individuals face tobacco use-stratified mortality risks. For US women and men, we conducted cross-validation with a Cancer Intervention and Surveillance Modeling Network (CISNET) model. We then incorporated smoking relapse and calibrated cessation rates to reflect the difference between a transient quit attempt and sustained abstinence. We performed external validation with the National Health Interview Survey (NHIS) and the linked National Death Index. Comparisons were based on root-mean-square error (RMSE). RESULTS:In cross-validation, STOP-generated projections of current/former/never smoking prevalence fit CISNET-projected data well (coefficient of variation (CV)-RMSE?15%). After incorporating smoking relapse, multiplying the CISNET-reported cessation rates for women/men by 7.75/7.25, to reflect the ratio of quit attempts to sustained abstinence, resulted in the best approximation to CISNET-reported smoking prevalence (CV-RMSE 2%/3%). In external validation using these new multipliers, STOP-generated cumulative mortality curves for 20-year-old current smokers and never smokers each had CV-RMSE ?1% compared with NHIS. In simulating those surveyed by NHIS in 1997, the STOP-projected prevalence of current/former/never smokers annually (1998-2009) was similar to that reported by NHIS (CV-RMSE 12%). CONCLUSIONS:The STOP model, with relapse included, performed well when validated to US smoking prevalence and mortality. STOP provides a flexible framework for policy-relevant analysis of tobacco and nicotine product use.

SUBMITTER: Reddy KP

PROVIDER: S-EPMC7228509 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Novel microsimulation model of tobacco use behaviours and outcomes: calibration and validation in a US population.

Reddy Krishna P KP Bulteel Alexander J B AJB Levy Douglas E DE Torola Pamela P Hyle Emily P EP Hou Taige T Osher Benjamin B Yu Liyang L Shebl Fatma M FM Paltiel A David AD Freedberg Kenneth A KA Weinstein Milton C MC Rigotti Nancy A NA Walensky Rochelle P RP

BMJ open 20200512 5

<h4>Background and objective</h4>Simulation models can project effects of tobacco use and cessation and inform tobacco control policies. Most existing tobacco models do not explicitly include relapse, a key component of the natural history of tobacco use. Our objective was to develop, calibrate and validate a novel individual-level microsimulation model that would explicitly include smoking relapse and project cigarette smoking behaviours and associated mortality risks.<h4>Methods</h4>We develop ...[more]

PMID: 32404384

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Dataset Information

Novel microsimulation model of tobacco use behaviours and outcomes: calibration and validation in a US population.

Publications

Novel microsimulation model of tobacco use behaviours and outcomes: calibration and validation in a US population.

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