Evidence map›Paper›PMID 17055104›Full record

ArticleHealth policy (Amsterdam, Netherlands)2007

The role of public policies in reducing smoking prevalence in California: results from the California tobacco policy simulation model.

David T Levy, Andrew Hyland, Cheryl Higbee, Lillian Remer, Christine Compton

Abstract read
In one paragraph

Article in Health policy (Amsterdam, Netherlands), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Smoking Histories by State in the U.S.American journal of preventive medicine · 2023
    Article
  3. Article
  4. The case for investment in tobacco control: lessons from four countries in the Americas.Revista panamericana de salud publica = Pan American journal of public health · 2022
    Article
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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

5 authors.

David T LevyPacific Institute for Research and Evaluation, MD, United States. Levy@pire.org
Andrew Hyland
Cheryl Higbee
Lillian Remer
Christine Compton

Funding

A Simulation of Tobacco Policy, Smoking and Lung CancerU01CA097450 · NCI · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI LEVY, DAVID THEODORE · 2002 to 2009
$2.1M
NCI NIH HHS U01 CA097450NCI NIH HHS U01-CA-097450
6 · The paper itself

Abstract

Tobacco control policies are examined utilizing a simulation model for California, the state with the longest running comprehensive program. We assess the impact of the California Tobacco Control Program (CTCP) and surrounding price changes on smoking prevalence and smoking-attributable deaths. Modeling begins in 1988 and progresses chronologically to 2004, and considers four types of policies (taxes, mass media, clean air laws, and youth access policies) independently and as a package. The model is validated against existing smoking prevalence estimates. The difference in trends between predicted smoking rates from the model and other commonly used estimates of smoking prevalence for the overall period were generally small. The model also predicted some important changes in trend, which occurred with changes in policy. The California SimSmoke model estimates that tobacco control policies reduced smoking rates in California by an additional 25% relative to the level that they would have been if policies were kept at their 1988 level. By 2004, the model attributes 59% of the reduction to price increases, 28% of the overall effect to media policies, 11% to clean air laws, and only a small percent to youth access policies. The model estimates that over 5000 lives will be saved in the year 2010 alone as a result of the CTCP and industry-initiated price increases, and that over 50,000 lives were saved over the period 1988-2010. Tobacco control policies implemented as comprehensive tobacco control strategies have significantly impacted smoking rates. Further tax increases should lead to additional lives saved, and additional policies may result in further impacts on smoking rates, and consequently on smoking-attributable health outcomes in the population.

Indexed as

Models, TheoreticalPublic PolicyCaliforniaHumansSmoking

Identifiers

PMID17055104
PMCPMC2743269

What OpenQuestion holds

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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.