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Supporting policymakers with a decision aid to evaluate the impact of e-cigarette flavour restrictions

  • University of Bristol
  • improving Performance in Practice

Research output: Contribution to journalArticlepeer-review

Abstract

Background The UK Government has introduced a range of measures to tackle the rise in youth vaping, including the power to regulate flavours. Evidence is needed to inform how these measures should be implemented, but communication between health researchers and policymakers can be difficult. Policymakers need a simple, easy-to-digest synthesis of evidence to make policy decisions that benefit the public. Methods We designed a policy decision aid to support policymakers (commissioned by Public Health England), whereby existing data can be inputted to create a report (the decision aid). The report estimates whether restricting flavours other than tobacco or menthol flavours in e-cigarettes would have a net benefit due to reductions in youth vaping and smoking or a net detriment due to the negative impact on smoking cessation and relapse rates. Results Using the available evidence on 13 November 2024, the model estimated that 125,034 non-smoking youth experiment with e-cigarettes as a result of flavoured e-liquid availability, and 841,302 smokers and ex-smokers do not smoke due to flavoured e-liquid availability. The model estimated that 48,764 non-smoking youth subsequently smoke as a result of flavoured e-liquid availability. The algorithm indicated that if only unflavoured, tobacco flavoured or menthol flavoured vapes remained on the market, there would be a detrimental impact on smoking rates in adults that would outweigh the number of young people protected from vaping and later smoking. Conclusions This output suggests that restricting flavoured e-liquids in the United Kingdom could have a detrimental impact on public health when considering both youth vaping and smoking uptake due to flavoured vape availability. To provide timely advice to policymakers, the algorithm used is intentionally simple. The decision aid should be used alongside existing relevant evidence (e.g. from countries with similar regulatory environments) to inform policy decisions and/or used to highlight areas for research that warrant support. The reports have been used in policy documents and discussions, demonstrating an appetite for this type of communication aid. The tool can be used to assess this policy question within subpopulations and in other localities, and the framework can be adopted to address other policy questions.
Original languageEnglish
Number of pages8
JournalHealth Research Policy and Systems
Early online date15 Jun 2026
DOIs
Publication statusE-pub ahead of print - 15 Jun 2026

Data Availability Statement

The data supporting the conclusions of this article are available in the GitHub repository, https://github.com/jkhouj/PolicyDecisionAid. For access to the original STS data, please use these forms: https://smokinginengland.info/resources/data-request-agreement-form; https://smokinginengland.info/resources/data-request-coi-form. For access to ASH YouGov data, please contact [[email protected]] (mailto:[email protected]).

Funding

This work was originally supported by Public Health England via an honorary contract awarded to ASA. There is no grant number for this support as it was commissioned by Public Health England via the honorary academic framework. Further support was received from the University of Bristol via an Economic and Social Research Council Impact Acceleration Award (A100111) awarded to JNK, ASA and MRM and then from the Research England Policy Support Fund (PolicyBristol) awarded to JNK, ASA and MRM (H100026). JNK, MJG and MRM were supported by the Medical Research Council Integrative Epidemiology Unit (MC_UU_00011/7). JNK and ASA were supported by a Cancer Research UK programme grant (the Integrative Cancer Epidemiology Programme C18281/A29019). MD was employed by Public Health England and the Office for Health Improvement and Disparities during the project, but has now retired. For the purpose of open access, the author has applied a ’Creative Commons Attribution (CC BY) public copyright licence to any Author Accepted Manuscript (AAM) version arising from this submission.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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