Evidence map›Paper›PMID 39993144›Full record

ArticleJournal of primary care & community health

Barriers to Integrating Tobacco Dependence Treatment into Lung Cancer Screening: A Qualitative Assessment.

Deborah L Pestka, Megan E Campbell, Naomi A Schmulewitz, Anne C Melzer

Abstract read
In one paragraph

Article in Journal of primary care & community health. 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. Article
  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.

Deborah L PestkaUniversity of Minnesota, Minneapolis, MN, USA.ORCID 0000-0001-5096-1991
Megan E CampbellCenter for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN, USA.
Naomi A SchmulewitzCenter for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN, USA.
Anne C MelzerUniversity of Minnesota, Minneapolis, MN, USA.

Funding

HSRD VA IK2 HX003067
6 · The paper itself

Abstract

INTRODUCTION/

objectiveWe qualitatively assessed current practices and perceived barriers surrounding the integration of tobacco dependence treatment (TDT) into lung cancer screening (LCS).

methodsInformed by the Practical, Robust Implementation and Sustainability Model, we conducted semi-structured interviews with clinicians (

resultsTDT was usually addressed at an initial shared decision-making visit but often not with subsequent rounds of screening or nodule follow-up. No site was aware that any TDT-related outcomes were tracked within their program. While the LCS clinical reminders included some aspects of tobacco use (eg, tobacco pack-years), they did not support clinicians in offering TDT or capture outcomes and were perceived as "checkboxes to nowhere." This was contrasted with other clinical reminders linked to dashboards that provide rolling feedback for important clinical outcomes (eg, diabetes care). Interviewees reported competing demands and limited expertise in motivational interventions as additional barriers. A dedicated team for TDT and a "one-click referral" were perceived as key success factors.

conclusionsTDT remains poorly integrated into LCS. Addressing identified barriers will require considerable investment in TDT resources and improvements to LCS tools to support the provision of cessation support.

Indexed as

Early Detection of CancerLung NeoplasmsSmoking CessationTobacco Use DisorderFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchUnited StatesUnited States Department of Veterans Affairslung cancerqualitative researchquality improvementtobacco use disorder

Identifiers

PMID39993144
PMCPMC11851765

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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.