Abstract
Background: E-cigarettes, also known as vapes, are lower risk products compared to conventional cigarettes, that can aid smoking cessation. However, they have been developed to also appeal to people who do not smoke, and are not harm-free. The challenge is for vaping policy to support smokers to quit whilst also protecting non-smokers from starting. Simulation modelling can be used to synthesise existing evidence and make predictions about policy impacts. This research aims to identify (a) data sources that can inform modelling of vape policies in the United Kingdom (UK) and (b) gaps in data that are required to undertake appropriate modelling. Methods: We held stakeholder workshops with academic experts, policy makers and public members to understand the requirements of a simulation model of vaping policy and existing data. Based on the findings of the first workshop and a review of existing modelling studies, we undertook a set of targeted rapid reviews to augment key existing reviews. We also developed a dataset dictionary. From these, we developed key recommendations about data collection and modelling. Results: There is substantial UK evidence around many of the transitions between smoking and vaping behaviours, but these have not yet been estimated simultaneously. We also identified 25 UK studies assessing the socioeconomic, psychological and social network influences on vaping behaviours. However, there is limited evidence about the effectiveness of vaping policies in the UK, the impact of industry circumvention, the health harms of vaping for people who have never smoked, longer term evidence on the smoking harms of vaping and the use and impact of illegal vapes. Conclusions: Addressing the identified gaps in the evidence will require targeted new research. By fostering collaboration across disciplines and ensuring transparency and consistency in modelling, the UK can build a credible, evidence-based foundation for shaping effective vape regulation.
| Original language | English |
|---|---|
| Article number | 92 |
| Journal | NIHR Open Research |
| Volume | 5 |
| Early online date | 6 Oct 2025 |
| DOIs | |
| Publication status | E-pub ahead of print - 6 Oct 2025 |
Bibliographical note
publishing OAData Availability Statement
All included data used in this manuscript as well as extended data can be found at the Open Science Framework repository: https://osf.io/8zaxc/ titled SPIRE Project; DOI: https://doi.org/10.17605/OSF.IO/8ZAXC194Data are available under CC-BY Attribution 4.0 International
Funding
This project is funded by the National Institute for Health Research (NIHR) under its Application Development PHR Award (Grant Reference Number NIHR166873]. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- data mapping
- data synthesis
- e-cigarette
- model
- nicotine
- policy
- tobacco
- UK
ASJC Scopus subject areas
- Epidemiology
- Medicine (miscellaneous)
- Health Policy
- Public Health, Environmental and Occupational Health
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