Evidence map›Paper›PMID 39120964›Full record

ArticleHealth policy and planning2024

Unlocking the power of tobacco taxation to mitigate the social costs of smoking in Mexico: a microsimulation model.

Belen Saenz-de-Miera, Luz Myriam Reynales-Shigematsu, Alfredo Palacios, Ariel Bardach, Agustin Casarini, Natalia Espinola, Federico Rodriguez Cairoli, Andrea Alcaraz, Federico Augustovski, Andres Pichon-Riviere

Abstract read
In one paragraph

Article in Health policy and planning, 2024. 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

10 authors.

Belen Saenz-de-MieraDepartment of Economics, Autonomous University of Baja California Sur, La Paz, Baja California Sur 23085, Mexico.ORCID 0000-0003-3117-0734
Luz Myriam Reynales-ShigematsuTobacco Control and Preventive Department, National Institute of Public Health (INSP), Cuernavaca, Morelos 62100, Mexico.
Alfredo PalaciosCentre for Health Economics (CHE), University of York, Heslington, York YO10 5DD, United Kingdom.
Ariel BardachDepartment of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS)-CIESP-CONICET, Ravignani 2024, Buenos Aires, CABA 1414, Argentina.
Agustin CasariniDepartment of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Ravignani 2024, Buenos Aires, CABA 1414, Argentina.
Natalia EspinolaDepartment of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Ravignani 2024, Buenos Aires, CABA 1414, Argentina.
Federico Rodriguez CairoliDepartment of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Ravignani 2024, Buenos Aires, CABA 1414, Argentina.
Andrea AlcarazDepartment of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Ravignani 2024, Buenos Aires, CABA 1414, Argentina.
Federico AugustovskiDepartment of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS)-CIESP-CONICET, Ravignani 2024, Buenos Aires, CABA 1414, Argentina.
Andres Pichon-RiviereDepartment of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS)-CIESP-CONICET, Ravignani 2024, Buenos Aires, CABA 1414, Argentina.

Funding

International Development Research Centre (IDRC) 108824001UK Cancer Research Institute (CRUK)
6 · The paper itself

Abstract

Despite being the most cost-effective tobacco control policy, tobacco taxation is the least implemented component of the World Health Organization MPOWER package to reduce smoking worldwide. In Mexico, both smoking prevalence and taxation have remained stable for more than a decade. This study aims to provide evidence about the potential effects of taxation to reduce the burden of tobacco-related diseases and the main attributable social costs in Mexico, including informal (unpaid) care costs, which are frequently ignored. We employ a first-order Monte Carlo microsimulation model that follows hypothetical population cohorts considering the risks of an adverse health event and death. First, we estimate tobacco-attributable morbidity and mortality, direct medical costs and indirect costs, such as labour productivity losses and informal care costs. Then, we assess the potential effects of a 50% cigarette price increase through taxation and two alternative scenarios of 25% and 75%. The inputs come from several sources, including national surveys and vital statistics. Each year, 63 000 premature deaths and 427 000 disease events are attributable to tobacco in Mexico, while social costs amount to MX$194.6 billion (US$8.5)-MX$116.2 (US$5.1) direct medical costs and MX$78.5 (US$3.4) indirect costs-representing 0.8% of gross domestic product. Current tobacco tax revenue barely covers 23.3% of these costs. Increasing cigarette prices through taxation by 50% could reduce premature deaths by 49 000 over the next decade, while direct and indirect costs averted would amount to MX$87.9 billion (US$3.8) and MX$67.6 billion (US$2.9), respectively. The benefits would far outweigh any potential loss even in a pessimistic scenario of increased illicit trade. Tobacco use imposes high social costs on the Mexican population, but tobacco taxation is a win-win policy for both gaining population health and reducing tobacco societal costs.

Indexed as

SmokingTaxesTobacco ProductsAdultCost of IllnessFemaleHealth Care CostsHumansMaleMexicoMiddle AgedMonte Carlo Methodburden of diseasehealthcare costsinformal careMexicoproductivity lossTobacco taxation

Identifiers

PMID39120964
PMCPMC11474612

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Registered trials

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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.