Evidence map›Paper›PMID 29574440›Full record

ArticleBMJ open2018

Projecting the effects of tobacco control policies in the USA through microsimulation: a study protocol.

Jamie Tam, David T Levy, Jihyoun Jeon, John Clarke, Scott Gilkeson, Tim Hall, Eric J Feuer, Theodore R Holford, Rafael Meza

Abstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  11. Birth Cohort‒Specific Smoking Patterns by Family Income in the U.S.American journal of preventive medicine · 2023
    Article
  12. Mortality Relative Risks by Smoking, Race/Ethnicity, and Education.American journal of preventive medicine · 2023
    Article
  13. Article
  14. Smoking Histories by State in the U.S.American journal of preventive medicine · 2023
    Article
  15. Patterns of Birth Cohort‒Specific Smoking Histories in Brazil.American journal of preventive medicine · 2023
    Article
  16. Article
  17. Article
  18. The Australia Smoking and Vaping Model: The Potential Impact of Increasing Access to Nicotine Vaping Products.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  19. Article
  20. 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

9 authors.

Jamie TamDepartment of Health Management and Policy, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-8353-4259
David T LevyLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
Jihyoun JeonDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.
John ClarkeCornerstone Systems Northwest Inc., Lynden, Washington, USA.
Scott GilkesonIndependent consultant, Washington, DC, USA.
Tim HallCornerstone Systems Northwest Inc., Lynden, Washington, USA.
Eric J FeuerDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0003-4842-7751
Theodore R HolfordDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.
Rafael MezaDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.

Funding

Comparative Modeling of Lung Cancer Prevention and Control PoliciesU01CA199284 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2015 to 2019
$8.4M
NCI NIH HHS U01 CA199284
6 · The paper itself

Abstract

introductionSmoking remains the leading cause of preventable death in the USA but can be reduced through policy interventions. Computational models of smoking can provide estimates of the projected impact of tobacco control policies and can be used to inform public health decision making. We outline a protocol for simulating the effects of tobacco policies on population health outcomes. METHODS AND ANALYSIS: We extend the Smoking History Generator (SHG), a microsimulation model based on data from the National Health Interview Surveys, to evaluate the effects of tobacco control policies on projections of smoking prevalence and mortality in the USA. The SHG simulates individual life trajectories including smoking initiation, cessation and mortality. We illustrate the application of the SHG policy module for four types of tobacco control policies at the national and state levels: smoke-free air laws, cigarette taxes, increasing tobacco control programme expenditures and raising the minimum age of legal access to tobacco. Smoking initiation and cessation rates are modified by age, birth cohort, gender and years since policy implementation. Initiation and cessation rate modifiers are adjusted for differences across age groups and the level of existing policy coverage. Smoking prevalence, the number of population deaths avoided, and life-years gained are calculated for each policy scenario at the national and state levels. The model only considers direct individual benefits through reduced smoking and does not consider benefits through reduced exposure to secondhand smoke. ETHICS AND DISSEMINATION: A web-based interface is being developed to integrate the results of the simulations into a format that allows the user to explore the projected effects of tobacco control policies in the USA. Usability testing is being conducted in which experts provide feedback on the interface. Development of this tool is under way, and a publicly accessible website is available at http://www.tobaccopolicyeffects.org.

Indexed as

Computer SimulationAdolescentAdultAgedAge FactorsChildFemaleHumansInternetMaleMiddle AgedPublic HealthResearch DesignSmoke-Free PolicySmokingSmoking Cessationcigarette taxmicrosimulationminimum age of legal access to tobaccopolicy simulationsmoke-free air lawtobacco control policy

Identifiers

PMID29574440
PMCPMC5875683

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.