Evidence map›Paper›PMID 28987337›Full record

ArticlePreventive medicine2017

The differential impact of state tobacco control policies on cessation treatment utilization across established tobacco disparities groups.

Jennifer Dahne, Amy E Wahlquist, Elizabeth Garrett-Mayer, Bryan W Heckman, K Michael Cummings, Matthew J Carpenter

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. A Pilot Randomized Clinical Trial of Remote Varenicline Sampling to Promote Treatment Engagement and Smoking Cessation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Trial
  2. Review
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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

6 authors at 2 institutions in 1 country.

Jennifer DahneDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA. Electronic address: dahne@musc.edu.
Amy E WahlquistDepartment of Public Health Sciences, MUSC, Charleston, SC, USA; Hollings Cancer Center, MUSC, Charleston, SC, USA.
Elizabeth Garrett-MayerDepartment of Public Health Sciences, MUSC, Charleston, SC, USA; Hollings Cancer Center, MUSC, Charleston, SC, USA.
Bryan W HeckmanDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA; Hollings Cancer Center, MUSC, Charleston, SC, USA.
K Michael CummingsDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA; Department of Public Health Sciences, MUSC, Charleston, SC, USA; Hollings Cancer Center, MUSC, Charleston, SC, USA.
Matthew J CarpenterDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA; Department of Public Health Sciences, MUSC, Charleston, SC, USA; Hollings Cancer Center, MUSC, Charleston, SC, USA.
Medical University of South Carolina · USMUSC Hollings Cancer Center · US

Funding

Translational Science Laboratory Shared ResourceP30CA138313 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Jian Ouyang · 2009 to 2026
$42.7M
DRUG ABUSE TRAINING PROGRAMT32DA007288 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Christopher W Cowan, Rachel Penrod-Martin · 1991 to 2026
$11.8M
Personalized Smoking Relapse Prevention Delivered in Real-Time via Just-in-time Adaptive InterventionsK23DA041616 · NIDA · MEHARRY MEDICAL COLLEGE · PI HECKMAN, BRYAN WAYNE · 2017 to 2021
$929k
NCI NIH HHS P30 CA138313NIDA NIH HHS K23 DA041616NIDA NIH HHS T32 DA007288
6 · The paper itself

Abstract

Tobacco control policies are effective in promoting quit attempts and increase the likelihood that smokers use evidence-based cessation treatments (e.g., nicotine replacement therapies (NRT), non-NRT medications, behavioral treatment, and/or quitlines). However, what is less clear is how these policies might differentially impact different groups of smokers, perhaps in some cases even widening disparities in the use of evidence-based tobacco dependence treatments. This paper examined how different state-level tobacco control policies impact the use of evidence-based cessation treatments by race/ethnicity, gender, socio-economic status (SES), age, and smoking history. Participants included 9110 adult smokers reporting a past-year quit attempt within the 2010-2011 Tobacco Use Supplement to the Current Population Survey. Lasso regression modeling was used to identify a subset of interactions between tobacco policies and individual smoker characteristics that predicted use of evidence-based cessation treatment. Significant interactions were fitted via participant-weighted generalized linear models to determine effect sizes and relations to each cessation treatment outcome. Results highlighted that various state level tobacco control policies differentially impacted the reported use of both prescription and non-prescription stop smoking medications by race/ethnicity, age, and SES. The relationship between state level tobacco control policies and the use of behavioral treatments and quitlines did not differ by smoker characteristics. In sum, tobacco control policies differentially impact the use of FDA approved stop smoking medications across different race/ethnicity, age, and SES groups. Understanding such effects can help to target interventions to ensure equal access to evidence-based tobacco dependence treatments.

Indexed as

Health Status DisparitiesPublic PolicyAdultEthnicityFemaleHealth BehaviorHumansMaleRacial GroupsSmokingSmoking CessationSocial ClassTobacco Use DisorderHealth disparitiesSmoking cessationTobacco policy

Identifiers

PMID28987337
PMCPMC5662127
OpenAlexW2761392213

What OpenQuestion holds

Textmetadata
LicenceTDM
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.