Evidence map›Paper›PMID 41773565›Full record

Trial reportJMIR public health and surveillance2026

Texting to Recruit Unassisted Tobacco Users at a Large Safety Net Health System Into Quitline Service for a Medicaid Value-Based Care Program: Pragmatic Randomized Controlled Trial.

Cindy V Valencia, Melanie S Dove, Karen Kim, Paul Giboney, Hal F Yee, Carrie A Kirby, Christopher M Anderson, Shu-Hong Zhu, Elisa K Tong

Abstract readPragmatic Clinical TrialRandomized Controlled Trial
In one paragraph

Trial report in JMIR public health and surveillance, 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
–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

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

9 authors.

Cindy V ValenciaCenter for Healthcare Policy Research, University of California, Davis, 4150 V Street, Suite 2400, Sacramento, CA, 95817, United States.ORCID 0000-0002-8993-4066
Melanie S DoveDepartment of Public Health Sciences, University of California, Davis, Sacramento, CA, United States.ORCID 0000-0003-3448-5811
Karen KimLos Angeles County Department of Health Services, Los Angeles, CA, United States.ORCID 0009-0002-2294-4558
Paul GiboneyLos Angeles County Department of Health Services, Los Angeles, CA, United States.ORCID 0000-0003-2669-6547
Hal F YeeLos Angeles County Department of Health Services, Los Angeles, CA, United States.ORCID 0000-0002-2847-1483
Carrie A KirbyMoores Cancer Center, University of California, San Diego, La Jolla, CA, United States.ORCID 0009-0005-8828-7505
Christopher M AndersonMoores Cancer Center, University of California, San Diego, La Jolla, CA, United States.ORCID 0000-0002-1801-6604
Shu-Hong ZhuMoores Cancer Center, University of California, San Diego, La Jolla, CA, United States.ORCID 0000-0002-4149-3441
Elisa K TongDepartment of Internal Medicine and Center for Healthcare Policy Research, University of California, Davis, 4150 V Street, Suite 2400, Sacramento, CA, 95817, United States, 1 916 734 7005.ORCID 0000-0002-8326-4524

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A growing body of research supports the efficacy of text messaging programs to help tobacco users quit, but texting as a strategy for recruiting tobacco users into other evidence-based cessation services, such as quitline coaching, is less well understood. Texting to offer treatment could increase use of cessation resources, an important consideration for health systems trying to improve their quality metric performance on tobacco assessment and counseling. Objective: The aim of this study is to compare the effects of text messages offering free quitline coaching or free nicotine patches on engagement with quitline services by patients identified in electronic health records as unassisted tobacco users. Methods: Participants (N=4171) were adult patients of Los Angeles County Department of Health Services who had had a clinical visit in the past 12 months, were willing to receive text messages, and were identified as unassisted tobacco users (ie, those with no documented advice or assistance to quit in the past 24 months). They included 3139 English speakers and 1032 Spanish speakers. Participants were stratified by language, then randomly assigned to one of two groups. Group 1 received a text offering free quitline coaching. Group 2 received a text offering free nicotine patches. The texts were sent in April and May 2022. Outcome measures were the proportions calling the quitline and receiving evidence-based cessation treatments. Data were analyzed in 2025. Results: Overall, 1.5% (61/4171) of participants called the quitline, including 1.3% (28/2086) in Group 1 and 1.6% (33/2085) in Group 2, and 0.5% (21/4171) received treatment, including 0.4% (8/2086) in Group 1 and 0.6% (13/2085) in Group 2. There was no significant difference either in calls (P=.52) or receiving treatment (P=.29). However, Spanish speakers were significantly more likely to call than English speakers, 2.3% (24/1032) vs 1.2% (37/3139), respectively (P=.008), and engaged in treatment at approximately twice the rate of English speakers, 0.9% (9/1032) vs 0.4% (12/3139), although the latter difference was nonsignificant (P=.07). Conclusions: A single text was effective in connecting unassisted tobacco users with evidence-based quitline services for both English and Spanish speakers, but especially the latter. A population health approach of reaching out to tobacco-using patients outside clinical visits can meaningfully supplement provider referral. Research is needed on ways to increase the population health impact of this strategy.

Indexed as

HotlinesSmoking CessationText MessagingAdultFemaleHumansLos AngelesMaleMedicaidMiddle AgedSafety-net ProvidersTobacco ControlUnited Statesclinicquitlinesafety netSpanishtexttobacco cessation

Identifiers

PMID41773565
PMCPMC12954575

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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.