Evidence map›Paper›PMID 41709178›Full record

ArticleBMC public health2026

How can we maximise the benefits of smoke-free prisons? Decision analytic model to predict potential impacts on public health.

Nicola McMeekin, Ashley Brown, Catherine Best, Evangelia Demou, Alastair H Leyland, Linda Bauld, Nancy Loucks, Jill P Pell, Sean Semple, Emily J Tweed and 3 more

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Nicola McMeekinHealth Economics and Health Technology Assessment, School of Health and Wellbeing, University of Glasgow, Clarice Pears Building, 90 Byres Road, Glasgow, G12 8TB, UK. nicola.mcmeekin@glasgow.ac.uk.
Ashley BrownInstitute for Social Marketing and Health, University of Stirling, Pathfoot Building, Stirling, FK9 4LA, UK.
Catherine BestInstitute for Social Marketing and Health, University of Stirling, Pathfoot Building, Stirling, FK9 4LA, UK.
Evangelia DemouMRC/CSO Social and Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, Clarice Pears Building, 90 Byres Road, Glasgow, G12 8TB, UK.
Alastair H LeylandMRC/CSO Social and Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, Clarice Pears Building, 90 Byres Road, Glasgow, G12 8TB, UK.
Linda BauldCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Usher Building, 5-7 Little France Road, Edinburgh BioQuarter, Edinburgh, EH16 4UX, UK.
Nancy LoucksFamilies Outside, 17 Gayfield Square, Edinburgh, EH1 3NX, UK.
Jill P PellPublic Health, School of Health and Wellbeing, University of Glasgow, Clarice Pears Building, 90 Byres Road, Glasgow, G12 8TB, UK.
Sean SempleInstitute for Social Marketing and Health, University of Stirling, Pathfoot Building, Stirling, FK9 4LA, UK.
Emily J TweedAyrshire and Arran NHS, Ailsa Hospital, Dalmellington Road, Ayr, KA6 6DX, UK.
Clair Woods-BrownInstitute for Social Marketing and Health, University of Stirling, Pathfoot Building, Stirling, FK9 4LA, UK.
Kate HuntInstitute for Social Marketing and Health, University of Stirling, Pathfoot Building, Stirling, FK9 4LA, UK.
Kathleen A BoydHealth Economics and Health Technology Assessment, School of Health and Wellbeing, University of Glasgow, Clarice Pears Building, 90 Byres Road, Glasgow, G12 8TB, UK.

Funding

Chief Scientist Office, Scottish Government Health and Social Care Directorate SPHSU17Medical Research Council MC_UU_00022/2National Institute for Health Research NIHR131613
6 · The paper itself

Abstract

introductionTobacco smoking prevalence remains high in disadvantaged populations such as people in prison. Smokefree prisons protect health, however around 90% of people who smoke pre-prison, relapse to smoking shortly after release. If people released from smokefree prisons maintain smoking abstinence this could benefit their health and finances. Knock-on effects of smoking relapse on families could also be avoided. Offering an intervention to reduce relapse to smoking on release has the potential to benefit released people and their families. This study assesses potential costs and outcomes for released people and their families, of introducing a smokefree prison policy and an intervention to reduce post-release smoking relapse.

methodsBased on the smoking/vaping status of released people we modelled the impact, on costs and outcomes, of four scenarios. We modelled scenarios which varied across two dimensions: (1) whether people were/were not permitted to vape in smokefree prisons, and (2) whether a smoking cessation intervention was offered/was not offered in smokefree prisons. The scenarios reflect different combinations of these factors. We estimated costs and outcomes (benefits) for released people, their partners and children over a lifetime. We included personal costs (vaping and smoking), healthcare and intervention costs, and outcomes included quality of life.

resultsFor released people, results indicated that not permitting vaping in prison was less costly and more beneficial than when vaping was permitted. Offering a smoking cessation intervention to released people was less costly than not offering a smoking cessation intervention, irrespective of whether vaping was permitted or not. However, whilst offering a smoking cessation intervention was beneficial when vaping was permitted in prison, results are uncertain for the benefits of offering a smoking cessation intervention when vaping is not permitted in prison. Sensitivity analyses indicate uncertainty and show that changing the values for vaping prevalence and smoking relapse rates would change these results. For both partner and child (ren), costs were higher and quality of life lower for those living with released people who relapse to smoking compared to those who vape or neither smoke nor vape.

interpretationTargeted support for smoking cessation interventions to improve health outcomes for people released from smokefree prison and their families can ultimately contribute to broader public health improvements and improve health in a priority group. There is a need for greater evidence in this area to inform future modelling, particularly on relapse to smoking on release and the long-term effects of vaping. Results indicate uncertainty about the overall value of permitting vaping in smokefree prisons; wider factors associated with not allowing vaping in prisons would need to be assessed in future work. Study findings enhance understanding of the potential cost-effectiveness of smokefree prison policy, highlight uncertainty in some model inputs, and can inform decisions about how value could be maximised.

Indexed as

Decision Support TechniquesPrisonersPrisonsPublic HealthSmoke-Free PolicyCost-Benefit AnalysisHumansMaleSmoking CessationCost-utility analysisDecision analytic modelFamiliesPrisonReleased peopleSmokefree prisonSmoking cessationTobacco

Identifiers

PMID41709178
PMCPMC13019869

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.