Evidence map›Paper›PMID 42894739›Full record

ArticlePreventive medicine reports2026

Low-barrier tobacco screening and cessation outreach: A multisite veterans affairs quality improvement initiative.

Tessa Rife-Pennington, Beth Dinges, Evan Chenault, Minh Quang Ho

Abstract read
In one paragraph

Article in Preventive medicine reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tessa Rife-PenningtonSan Francisco Veterans Affairs Healthcare System, San Francisco, CA, USA.
Beth DingesVA Illiana Heathcare System, Danville, IL, USA.
Evan ChenaultDurham VA Medical Center, Durham, NC, USA.
Minh Quang HoVA Orlando Healthcare System, Orlando, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe implementation of a multi-site, equity-informed tobacco screening and cessation outreach initiative across three Veterans Affairs healthcare systems. Methods: This quality improvement initiative was implemented in fiscal year 2025 in San Francisco, California, Danville, Illinois, and Orlando, Florida. The intervention combined dashboard-informed targeting with in-person outreach events offering tobacco use screening, brief education, medications for tobacco use disorder, referral to cessation resources, and selected lung cancer screening education and referral. Outcomes included reach, service delivery outputs, tobacco use screening trends, and implementation barriers and facilitators, summarized descriptively using dashboard and event-level data. Results: Implementation varied across sites. San Francisco completed four outreach events with 417 total participant encounters, including 212 Veterans, and documented 19 tobacco use screenings, 18 lung cancer screenings, medication linkage, quitline/provider referrals, and research linkage. Danville completed three outreach events reaching 120 Veterans and documented 6 tobacco use screenings and 12 medication prescriptions. Orlando did not complete events because of staffing and operational barriers. Key determinants included staffing capacity, workflow fit, event approvals, procurement, outreach availability, and lung cancer screening infrastructure. Conclusions: Dashboard-informed outreach may extend tobacco-related preventive care beyond routine clinic encounters, but implementation depends on local infrastructure, staffing, referral pathways, and interdisciplinary partnerships.

Indexed as

Health equityImplementation scienceProgram evaluationQuality improvementSmoking cessationVeterans

Identifiers

PMID42894739
PMCPMC13677173

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.