Evidence map›Paper›PMID 36816140›Full record

ArticleTobacco prevention & cessation2023

A pilot randomized controlled trial of automated and counselor-delivered text messages for e-cigarette cessation.

Nandita Krishnan, Carla J Berg, Daisy Le, Jasjit Ahluwalia, Amanda L Graham, Lorien C Abroms

Abstract read
In one paragraph

Article in Tobacco prevention & cessation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
–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

6 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. The feasibility and acceptability of Live Free From E-Cigarettes (LIFFE): A web-based vaping intervention and smoking prevention program for young adults.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
    Article
  5. Article
  6. 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.

Nandita KrishnanDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, United States.
Carla J BergDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, United States.
Daisy LeDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, United States.
Jasjit AhluwaliaDepartment of Behavioral and Social Sciences and Center for Alcohol and Addiction Studies, Brown University School of Public Health, Rhode Island, United States.
Amanda L GrahamInnovations Center, Truth Initiative, Washington, United States.
Lorien C AbromsDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAutomated text messaging programs show promise for e-cigarette cessation. Adding live text counseling could make them more engaging. We developed Quit the Vape (QTV), an automated e-cigarette cessation text messaging program, designed to be delivered as stand-alone or with counselor-delivered messages (QTV-C), and evaluated the acceptability and preliminary efficacy of QTV and QTV-C.

methodsBetween May and August 2021, we recruited 58 e-cigarette users, aged 20-43 years, 53.5% male, 63.8% non-Hispanic White, from an ongoing cohort study in the United States. Inclusion criteria were: using nicotine-containing e-cigarettes on ≥4 days per month; smartphone ownership; and not receiving tobacco cessation treatment. Motivation to quit did not impact eligibility. Participants were randomized to QTV (n=20), QTV-C (n=19), or control (link to e-cigarette cessation website, n=19). At end-of-treatment, we assessed program engagement and satisfaction, and self-reported quitting behaviors (e.g. point prevalence abstinence, PPA).

resultsAt baseline, average past-month e-cigarette use was 26.8 days (SD=6.2). At follow-up at 4 weeks, among QTV and QTV-C participants, ≥85% replied to ≥1 message, ≥35% set a quit date, and ≤15% opted out. More QTV and QTV-C participants (55.6%) versus control (17.7%) reported program satisfaction (p=0.034). QTV-C participants (vs QTV and control) trended more favorably on 7-day e-cigarette PPA [27.8% (95% CI: 11.5-53.3) vs 11.1% (95% CI: 2.6-37.0) and 5.9% (95% CI: 0.7-34.5)] and quit attempts [66.7% (95% CI: 41.6-84.9) vs 50.0% (95% CI: 27.4-72.6) and 52.9% (95% CI: 29.2-75.5)].

conclusionsAdding live text counseling to an automated text messaging program is acceptable and shows promise for e-cigarette cessation. A larger trial is warranted to assess its efficacy.

Indexed as

cessatione-cigarettetext messaging

Identifiers

PMID36816140
PMCPMC9926687

What OpenQuestion 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 OpenQuestion graph.