Evidence map›Paper›PMID 39331522›Full record

ArticleJMIR formative research2024

Outcomes of a Comprehensive Mobile Vaping Cessation Program in Adults Who Vape Daily: Cohort Study.

Jennifer D Marler, Craig A Fujii, MacKenzie T Utley, Daniel J Balbierz, Joseph A Galanko, David S Utley

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. 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

6 authors.

Jennifer D MarlerPivot Health Technologies, Inc, San Carlos, CA, United States.ORCID 0000-0001-8105-3275
Craig A FujiiPivot Health Technologies, Inc, San Carlos, CA, United States.ORCID 0000-0002-5395-9958
MacKenzie T UtleyPivot Health Technologies, Inc, San Carlos, CA, United States.ORCID 0000-0001-9488-0819
Daniel J BalbierzPivot Health Technologies, Inc, San Carlos, CA, United States.ORCID 0000-0002-7703-3631
Joseph A GalankoDepartment of Pediatrics, University of North Carolina, Chapel Hill, NC, United States.ORCID 0000-0003-2304-4375
David S UtleyPivot Health Technologies, Inc, San Carlos, CA, United States.ORCID 0000-0002-9758-0448

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the United States, e-cigarettes, or vapes, are the second most commonly used tobacco product. Despite abundant smartphone app-based cigarette cessation programs, there are few such programs for vaping and even fewer supporting data.

objectiveThis exploratory, prospective, single-arm, remote cohort study of the Pivot vaping cessation program assessed enrollment and questionnaire completion rates, participant engagement and retention, changes in attitudes toward quitting vaping, changes in vaping behavior, and participant feedback. We aimed to establish early data to inform program improvements and future study design.

methodsAmerican adults aged ≥21 years who vaped daily, reported ≥5 vape sessions per day, and planned to quit vaping within 6 months were recruited on the web. Data were self-reported via app- and web-based questionnaires. Outcomes included engagement and retention (ie, weeks in the program, number of Pivot app openings, and number of messages sent to the coach), vaping attitudes (ie, success in quitting and difficulty staying quit), vaping behavior (ie, quit attempts, Penn State Electronic Cigarette Dependence Index, 7- and 30-day point-prevalence abstinence [PPA], and continuous abstinence [defined as ≥7-day PPA at 12 weeks+30-day PPA at 26 weeks+0 vaping sessions since 12 weeks]), and participant feedback.

resultsIn total, 73 participants onboarded (intention-to-treat sample); 68 (93%) completed the 12- and 26-week questionnaires (completer samples). On average, participants were active in Pivot for 13.8 (SD 7.3) weeks, had 87.3 (SD 99.9) app sessions, and sent 37.6 (SD 42.3) messages to their coach over 26 weeks. Mean success in quitting and difficulty staying quit (scale of 1-10) improved from baseline to 12 weeks-4.9 (SD 2.9) to 7.0 (SD 3.0) and 4.0 (SD 2.8) to 6.2 (SD 3.1), respectively (P<.001 in both cases). Most participants (64/73, 88%) made ≥1 quit attempt. At 26 weeks, intention-to-treat 7-day PPA, 30-day PPA, and continuous abstinence rates were 48% (35/73), 45% (33/73), and 30% (22/73), respectively. In total, 45% (33/73) of the participants did not achieve 7-day PPA at 26 weeks; their mean Penn State Electronic Cigarette Dependence Index score decreased from baseline (13.9, SD 3.1) to 26 weeks (10.8, SD 4.5; mean change -3.2, SD 3.9; P<.001); 48% (16/33) of these participants improved in the e-cigarette dependence category. At 2 weeks, 72% (51/71) of respondents reported that using Pivot increased their motivation to quit vaping; at 4 weeks, 79% (55/70) reported using Pivot decreased the amount they vaped per day.

conclusionsIn this first evaluation of Pivot in adult daily vapers, questionnaire completion rates were >90%, average program engagement duration was approximately 14 weeks, and most participants reported increased motivation to quit vaping. These and early cessation outcomes herein suggest a role for Pivot in vaping cessation and will inform associated future study and program improvements.

Indexed as

VapingAdultCohort StudiesElectronic Nicotine Delivery SystemsFemaleHumansMaleMiddle AgedMobile ApplicationsProgram EvaluationProspective StudiesSmoking CessationSurveys and QuestionnairesUnited Statesappdigital healthmHealthmobile appsmobile healthmobile phonesmartphonevapingvaping cessation

Identifiers

PMID39331522
PMCPMC11555445

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.