Evidence map›Paper›PMID 20176309›Full record

ArticleAmerican journal of preventive medicine2010

Modeling the impact of smoking-cessation treatment policies on quit rates.

David T Levy, Amanda L Graham, Patricia L Mabry, David B Abrams, C Tracy Orleans

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
–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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Cost-Effectiveness of Integrating Tobacco Cessation Into Post-Traumatic Stress Disorder Treatment.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2016
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  12. Comparison of smoking prevalence in Canada before and after nicotine vaping product access using the SimSmoke model.Canadian journal of public health = Revue canadienne de sante publique · 2023
    Article
  13. Article
  14. Article
  15. The Kentucky SimSmoke Tobacco Control Policy Model of Smokeless Tobacco and Cigarette Use.International journal of health policy and management · 2022
    Article
  16. 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
  17. US Nicotine Vaping ProductInternational journal of environmental research and public health · 2021
    Article
  18. 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

5 authors.

David T LevyPacific Institute for Research and Evaluation, University of Baltimore, Calverton, Maryland 20705, USA. Levy@pire.org
Amanda L Graham
Patricia L Mabry
David B Abrams
C Tracy Orleans

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 UO1-CA97450-02
6 · The paper itself

Abstract

backgroundSmoking-cessation treatment policies could yield substantial increases in adult quit rates in the U.S. PURPOSE: The goals of this paper are to model the effects of individual cessation treatment policies on population quit rates, and to illustrate the potential benefits of combining policies to leverage their synergistic effects.

methodsA mathematical model is updated to examine the impact of five cessation treatment policies on quit attempts, treatment use, and treatment effectiveness. Policies include: (1) expand cessation treatment coverage and provider reimbursement; (2) mandate adequate funding for the use and promotion of evidence-based, state-sponsored telephone quitlines; (3) support healthcare system changes to prompt, guide, and incentivize tobacco treatment; (4) support and promote evidence-based treatment via the Internet; and (5) improve individually tailored, stepped-care approaches and the long-term effectiveness of evidence-based treatments.

resultsThe annual baseline population quit rate is 4.3% of all current smokers. Implementing any policy in isolation is projected to increase the quit rate to between 4.5% and 6%. By implementing all five policies in combination, the quit rate is projected to increase to 10.9%, or 2.5 times the baseline rate.

conclusionsIf fully implemented in a coordinated fashion, cessation treatment policies could reduce smoking prevalence from its current rate of 20.5% to 17.2% within 1 year. By modeling the policy impacts on the components of the population quit rate (quit attempts, treatment use, treatment effectiveness), key indicators are identified that need to be analyzed in attempts to improve the effect of cessation treatment policies.

Indexed as

Models, StatisticalPolicy MakingSmoking CessationAdultDelivery of Health CareDirective CounselingEvidence-Based PracticeHealth PromotionHumansInternetMotivationProgram EvaluationSmokingTelephoneUnited States

Identifiers

PMID20176309
PMCPMC2843145

What OpenQuestion holds

Textmetadata
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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.