Evidence map›Paper›PMID 35653173›Full record

ArticleJMIR formative research2022

Direct Outreach in Bars and Clubs to Enroll Cigarette Smokers in Mobile Cessation Services: Exploratory Study.

Patricia Chalela, Alfred L McAlister, Cliff Despres, Edgar Muñoz, Pramod Sukumaran, David Akopian, Sahak Kaghyan, Jesus Trujillo, Amelie G Ramirez

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

9 authors.

Patricia Chalela *Institute for Health Promotion Research, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0002-6697-2975
Alfred L McAlister *School of Public Health, Austin Regional Campus, University of Texas Health Science Center at Houston, Austin, TX, United States.ORCID https://orcid.org/0000-0001-5490-357X
Cliff Despres *Institute for Health Promotion Research, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0003-4706-7002
Edgar Muñoz *Institute for Health Promotion Research, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0002-1555-8408
Pramod Sukumaran *Institute for Health Promotion Research, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0002-4781-3389
David Akopian *College of Engineering, The University of Texas at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0001-5977-9969
Sahak Kaghyan *College of Engineering, The University of Texas at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0002-9028-4291
Jesus Trujillo *Foundry512, Austin, TX, United States.ORCID https://orcid.org/0000-0003-3329-7843
Amelie G Ramirez *Institute for Health Promotion Research, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0002-5310-1337

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCigarette smoking and alcohol use are well known to be concomitant behaviors, but there is a lack of studies related to recruitment of smokers for mobile cessation services at places where alcohol is consumed, such as bars and clubs. Adapting recruitment strategies to expand the reach of cessation programs to where tobacco users are located may help decrease the health-equity gap in tobacco control by improving reach and enrollment of underserved smokers residing in low-income and rural areas who are not reached by traditional cessation services.

objectiveThe purpose of this exploratory study was to assess the feasibility of direct outreach in bars, clubs, and restaurants to recruit smokers to Quitxt, our mobile smoking cessation service. Quitxt is delivered through SMS text messaging or Facebook Messenger.

methodsWe collaborated with an advertising agency to conduct in-person recruitment of young adult smokers aged 18-29 years, focusing on urban and rural Spanish-speaking Latino participants, as well as English-speaking rural White and African American participants. Street team members were recruited and trained in a 4-hour session, including a brief introduction to the public health impacts of cigarette smoking and the aims of the project. The street teams made direct, face-to-face contact with smokers in and near smoking areas at 25 bars, clubs, and other venues frequented by young smokers in urban San Antonio and nearby rural areas.

resultsThe 3923 interactions by the street teams produced 335 (8.5%) program enrollments. Most participants were English speakers with a mean age of 29.2 (SD 10.6) years and smoked a mean of 8.5 (SD 6.2) cigarettes per day. Among users who responded to questions on gender and ethnicity, 66% (70/106) were women and 56% (60/107) were Hispanic/Latino. Among users ready to make a quit attempt, 22% (17/77) reported 1 tobacco-free day and 16% (10/62) reported maintaining cessation to achieve 1 week without smoking. The response rate to later follow-up questions was low.

conclusionsDirect outreach in bars and clubs is a useful method for connecting young adult cigarette smokers with mobile cessation services. However, further research is needed to learn more about how mobile services can influence long-term smoking cessation among those recruited through direct outreach, as well as to test the use of incentives in obtaining more useful response rates.

Indexed as

direct recruitmentLatinosmobile interventionsmoking cessationyoung adults

Identifiers

PMID35653173
PMCPMC9204570

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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.