Evidence map›Paper›PMID 41824745›Full record

ArticleJMIR formative research2026

Features of mHealth Apps for Tobacco Cessation Important to Black Adults: Discrete Choice Experiment.

Chineme Enyioha, Lauren Gorstein, Sonia Clark, Adam O Goldstein, Roger Vilardaga, Lisa B Hightow-Weidman, Christine E Kistler

Abstract read
In one paragraph

Article in JMIR formative research, 2026. 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

7 authors.

Chineme EnyiohaDepartment of Family Medicine, University of North Carolina at Chapel Hill, 590 Manning Drive, Chapel Hill, NC, 27514, United States, 1 9842155048.ORCID 0000-0001-9583-0223
Lauren GorsteinDepartment of Family Medicine, University of North Carolina at Chapel Hill, 590 Manning Drive, Chapel Hill, NC, 27514, United States, 1 9842155048.ORCID 0009-0004-9952-509X
Sonia ClarkLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-0748-3338
Adam O GoldsteinDepartment of Family Medicine, University of North Carolina at Chapel Hill, 590 Manning Drive, Chapel Hill, NC, 27514, United States, 1 9842155048.ORCID 0000-0002-0664-235X
Roger VilardagaDepartment of Implementation Science, School of Medicine, Wake Forest University, Winston Salem, NC, United States.ORCID 0000-0002-7252-4343
Lisa B Hightow-WeidmanCollege of Nursing, Florida State University, Tallahassee, FL, United States.ORCID 0000-0002-2421-923X
Christine E KistlerDivision of Geriatric Medicine, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0003-0566-5741

Funding

Development of a prototype for a mobile health intervention for smoking cessation with features culturally adapted for African American smokersK23DA057416 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ENYIOHA, CHINEME IJEOMA · 2022 to 2024
$604k
NIDA NIH HHS K23 DA057416
6 · The paper itself

Abstract

Background: Although mobile health (mHealth) apps for tobacco cessation augment traditional cessation methods and have contributed to increases in cessation rates, Black adults are underrepresented in mHealth app studies for tobacco cessation. As a result, their mHealth app preferences are not well-known. Objective: Our goal was to identify features of mHealth apps for cessation that are important to Black adults who use tobacco products. Methods: We developed an online discrete choice experiment with 12 pairs of hypothetical mHealth apps for tobacco cessation. Inclusion criteria included being 21 years or older, current use of any tobacco product, and identifying as Black or African American. Participants had to be interested in tobacco cessation and have a history of mHealth app use or be willing to use one in the future. From each pair of hypothetical apps within the survey, participants had to choose the app they preferred. Each hypothetical app was made up of 7 features developed from existing mHealth literature and prior qualitative work: graphics, marketing, strategies for quitting, connection with others, personalization, benefits of quitting, and health information. Each feature had up to 4-5 levels (ie, variations of that attribute), and each hypothetical mHealth app was comprised of a random assortment of levels of features. Hierarchical Bayes estimation was used to determine the part-worth utility for each level within each feature for each participant, which was then used to calculate the importance score. Average importance scores across respondents were used to determine overall importance scores for each feature. Results: We had 901 adult participants. The mean age was 41 (SD 14.02) years, and about a third of participants (377/901, 42%) were female. Two-thirds of participants (549/901, 61%) had used an mHealth app in the past, and the great majority (786/901, 87%) indicated a willingness to use an app for health purposes in the future. The features had the following importance: graphics (16%), marketing (15%), strategies for quitting (15%), connection with others (14%), personalization (13%), benefits of quitting (13%), and health information (13%). Within features, strategies for quitting had the highest and third-highest levels of "making a step-by-step quit plan" and "recommendations to manage relapse or withdrawal," respectively. Marketing had the second-highest level of "Historically Black Colleges and Universities-endorsed app." Graphics had the fourth-highest level of "short video testimonials from people who successfully quit," while connection with others had the fifth-highest level of "quit buddy program for support and accountability." Conclusions: This study identified features of mHealth apps important to Black adult tobacco users. To enhance the appeal of mHealth apps to such adults, prioritizing inclusion of highly preferred levels in apps may lead to higher use and improved cessation.

Indexed as

Black or African AmericanChoice BehaviorMobile ApplicationsTobacco Use CessationAdultFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTelemedicineapp preferencescultural relevancemHealth app preferred featuresmobile healthmobile health apprelatabilitytobacco cessation

Identifiers

PMID41824745
PMCPMC12987408

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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.