BALANCING SUBSTITUTION AND INITIATION THROUGH A MODELING FRAMEWORK TO ASSESS THE POPULATION HEALTH IMPACT OF ELECTRONIC VAPOUR PRODUCTS

Author(s)

Thomas Verron, PhD1, Mengran Guo, MSc1, Libby Clarke, MSc2, Thomas Nahde, PhD3, Xavier Cahours, PhD1.
1Imperial Brands - Seita, Paris, France, 2Imperial Brands, Bristol, United Kingdom, 3Imperial Brands - Reemtsma, Hamburg, Germany.
OBJECTIVES: To develop a modelling framework to quantify the population health impact of Electronic Vapour Products (EVP), focusing on the balance between substitution among current smokers and initiation among non-smokers.
METHODS: A modelling framework was developed to simulate EVP initiation, adoption, and transitions across population groups. A weighting parameter 𝑘;∈[0,1]k∈[0,1] was introduced to represent how EVP initiation among non-smokers is distributed, ranging from individuals who would otherwise remain non-smokers (𝑘;=1k=1) to those who would have initiated cigarette smoking in the absence of Next Generation Products (𝑘;=0k=0).By varying initiation and adoption probabilities while maintaining probabilistic consistency of transitions from the initial state, the model estimated the net population health impact of EVP introduction across a range of plausible scenarios and different values of 𝑘;k, incorporating assumptions on Excess Relative Risk (ERR).
RESULTS: Assuming a low ERR for EVP, positive population health outcomes were primarily driven by adoption among current smokers, with EVP initiation among non-smokers playing a limited role. As the assumed ERR increased, outcomes became more sensitive to the parameter 𝑘;k, reflecting whether EVP use corresponds to full substitution from smoking or includes initiation among individuals who would otherwise have remained non-users.
CONCLUSIONS: The net public health impact of EVP is determined by the balance between harm reduction through substitution in smokers and uptake among non-smokers. Under assumptions of low EVP risk, the overall impact is largely driven by smoker adoption, consistent with current evidence suggesting substantially lower toxicant exposure compared to cigarettes.

Conference/Value in Health Info

2026-11, ISPOR Europe 2026, Vienna, Austria

Value in Health, Volume 29, Issue 12S

Code

MSR296

Topic

Epidemiology & Public Health, Methodological & Statistical Research, Real World Data & Information Systems

Topic Subcategory

Artificial Intelligence, Machine Learning, Predictive Analytics

Disease

No Additional Disease & Conditions/Specialized Treatment Areas

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