Evidence map›Paper›PMID 35635746›Full record

ArticleJMIR research protocols2022

An Integrated mHealth App for Smoking Cessation in Black Smokers With Anxiety: Protocol for a Randomized Controlled Trial.

Michael S Businelle, Lorra Garey, Matthew W Gallagher, Emily T Hébert, Anka Vujanovic, Adam Alexander, Krista Kezbers, Cameron Matoska, Jillian Robison, Audrey Montgomery and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04838236 (Improving Access to Cigarette Cessation Treatment Among African American Smokers), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

NCT04838236 nacompletednot on this map

Improving Access to Cigarette Cessation Treatment Among African American Smokers: Development and Evaluation of an Integrated mHealth Application

TypeinterventionalSponsorUniversity of HoustonRan2021 to 2025Enrolled227ConditionsSmoking, TobaccoArmsMASP app + NRT, QuitGuide app + NRT
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Mobile Health Interventions for Substance Use Disorders.Annual review of clinical psychology · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

11 authors.

Michael S BusinelleTSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID https://orcid.org/0000-0002-9038-2238
Lorra GareyHEALTH Institute, University of Houston, Houston, TX, United States.ORCID https://orcid.org/0000-0002-4167-7232
Matthew W GallagherHEALTH Institute, University of Houston, Houston, TX, United States.ORCID https://orcid.org/0000-0001-9734-9329
Emily T HébertDepartment of Health Promotion and Behavioral Sciences, UTHealth School of Public Health, Austin, TX, United States.ORCID https://orcid.org/0000-0001-5922-164X
Anka VujanovicHEALTH Institute, University of Houston, Houston, TX, United States.ORCID https://orcid.org/0000-0002-6099-3046
Adam AlexanderTSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID https://orcid.org/0000-0003-1448-4205
Krista KezbersTSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID https://orcid.org/0000-0002-8387-2781
Cameron MatoskaHEALTH Institute, University of Houston, Houston, TX, United States.ORCID https://orcid.org/0000-0002-5476-7413
Jillian RobisonTSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID https://orcid.org/0000-0002-5515-2111
Audrey MontgomeryTSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID https://orcid.org/0000-0002-3468-6800
Michael J ZvolenskyHEALTH Institute, University of Houston, Houston, TX, United States.ORCID https://orcid.org/0000-0002-1869-0906

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
Testing a Digital Therapeutic for Smoking Cessation among Hispanic Persons who SmokeU54MD015946 · NIMHD · UNIVERSITY OF HOUSTON · PI Stacey Lynn Gorniak · 2020 to 2026
$22.0M
Using Machine Learning to Develop Just-in-Time Adaptive Interventions for Smoking CessationR00DA046564 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HEBERT, EMILY TAYLOR · 2021 to 2023
$747k
HealthyCells: A Culturally-Tailored Smoking Cessation Smartphone Intervention for African Americans with Adjunctive Treatment for Sedentary BehaviorK01MD015295 · NIMHD · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ALEXANDER, ADAM C · 2021 to 2025
$670k
NCI NIH HHS P30 CA225520NIDA NIH HHS R00 DA046564NIMHD NIH HHS K01 MD015295NIMHD NIH HHS U54 MD015946
6 · The paper itself

Abstract

backgroundBlack smokers have greater difficulty in quitting and higher rates of smoking-related diseases and disabilities than the general population. The smoking disparities experienced by this group are, in part, a consequence of multiple chronic life stressors (eg, racial discrimination) that engender increased exposure to interoceptive stress symptoms (eg, anxiety), which can ultimately lead to smoking as a means of immediate emotion regulation.

objectiveThis study aimed to culturally adapt and initially test a novel mobile intervention (ie, Mobile Anxiety Sensitivity Program for Smoking [MASP]) that targets anxiety sensitivity (AS; a proxy for difficulty and responsivity to interoceptive stress) among Black smokers. The MASP intervention is culturally informed to address interoceptive stress management difficulties among Black smokers and is thus hypothesized to facilitate smoking cessation.

methodsIn phase 1, a total of 25 Black smokers with elevated AS will be administered MASP for 6 weeks. Following the completion of phase 1, we will further refine the MASP based on qualitative and quantitative data from participants to produce the final MASP iteration. In phase 2, a total of 200 Black smokers with elevated AS will be enrolled and randomly assigned to receive nicotine replacement therapy and either the smartphone-based National Cancer Institute QuitGuide app for standard mobile smoking cessation treatment or the MASP intervention. All participants in phases 1 and 2 will be enrolled remotely and will complete a web-based study screener; smartphone-based baseline assessment; daily smartphone-based ecological momentary assessments for 6 weeks; phone-based end-of-treatment qualitative interviews; and smartphone-based follow-up assessments at postbaseline weeks 1, 2 (quit date), 3, 4, 5, 6, 28, and 54 (weeks 28 and 54 follow-ups will be completed by phase 2 participants only). The MASP intervention is intended to offset barriers to treatment and encourage treatment engagement via smartphones.

resultsThis project was funded in September 2020. Phase 1 data collection began in January 2022. Phase 2 data collection is scheduled to begin in July 2022.

conclusionsIf successful, data from this study will support culturally informed treatment approaches for Black smokers and, pending findings of efficacy, provide an evidence-based mobile intervention for smoking cessation that is ready for dissemination and implementation.

trial registrationClinicalTrials.gov NCT04838236; https://clinicaltrials.gov/ct2/show/NCT04838236. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/38905.

Indexed as

African Americananxiety sensitivityBlackjust-in-time adaptive interventionmHealthmobile phonesmoking cessationtreatment

Identifiers

PMID35635746
PMCPMC9153912

What OpenQuestion holds

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Registered trials

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.