Evidence map›Paper›PMID 38707246›Full record

ArticlePreventive medicine reports2024

Tobacco Quitline utilization compared with cigarette smoking prevalence in Virginia across rurality and Appalachian Status, 2011-2019.

Asal Pilehvari, Rebecca Anne Krukowski, Kara Philips Wiseman, Melissa Ashley Little

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

4 authors.

Asal PilehvariDepartment of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Rebecca Anne KrukowskiDepartment of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Kara Philips WisemanDepartment of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Melissa Ashley LittleDepartment of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA, USA.

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
Leveraging Community Pharmacists to Optimize Smoking Cessation Services for Rural Smokers in AppalachiaR01CA267963 · NCI · UNIVERSITY OF VIRGINIA · PI Melissa Ashley Little · 2022 to 2026
$4.0M
NCI NIH HHS P30 CA044579NCI NIH HHS R01 CA267963
6 · The paper itself

Abstract

Introduction: While cigarette smoking rates have declined, rural and Appalachian populations in the United States have not seen similar decreases. Quitline programs are promising strategies in reducing disparities in these areas, but research on their usage is limited. Methods: We employed Small Area Estimation on the Virginia Behavioral Risk Factor Surveillance System (2011-2019) to estimate county-level smoking prevalence and utilized The Quit Now Virginia Quitline data (2011-2019) to estimate Quitline users. We analyzed differences in Quitline utilization by rurality and Appalachian status using statistical t-tests. Stepwise regression assessed the absolute estimate of county features, including poverty rate, tobacco retailer density, physician availability, coal mining industry, and tobacco agriculture, on Quitline usage. Results: While the average smoking rate overall was 15.3 %, only 7.4 % of smokers accessed Quitline services from 2011 to 2019. Appalachian regions exhibited higher smoking rates (20.9 %) and lower quitline usage (4.8 %) compared to non-Appalachian areas (14 % smoking prevalence, 8 % quitline usage). Rural regions had higher smoking prevalence (19.0 %) than urban areas (12.9 %), but no significant difference in Quitline utilization (7.6 % vs. 7.2 %, p = 0.7). Stepwise regression revealed counties with more tobacco agriculture had 3.2 % (p = 0.04) lower Quitline utilization. Also, more physicians availability in the county was associated with 3.9 % higher Quitline usage (p = 0.03) and Appalachian counties exhibited a 3.6 % lower Quitline usage rate compared to non-Appalachian counties. Conclusion: A significant gap exists between cigarette smoking prevalence and Quitline utilization, particularly in underserved rural and Appalachian areas, despite no clear barriers to accessing this remote cessation resource. Implication: The study underscores persistent disparities in smoking rates, with rural and Appalachian regions in the United States facing higher smoking prevalence and limited utilization of Quitline services. Despite no clear barriers to access, the gap between smoking prevalence and Quitline usage remains significant, particularly in underserved areas. Tailoring interventions to address regional disparities and factors like tobacco agriculture and physician availability is essential to reduce smoking rates and improve Quitline utilization in these communities.

Indexed as

Cigarette smoking cessation programsCigarette smoking prevalenceData visualizationDisparitiesRuralitySmall Area estimationsStepwise analysis

Identifiers

PMID38707246
PMCPMC11066663

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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.