25 Matching Annotations
  1. Last 7 days
    1. This was a low-intensity, fully au-Vaping Cessation Text Messaging Intervention for Adolescent E-Cigarette Userstomated intervention trial with low-demand characteristicsfor which biochemical verification is neither feasible nornecessary,°° but overreporting and underreporting of absti-nence are possible with adolescent

      Major Limitation: Self-reported, not biochemically verified. The authors justify this:

    2. evaluate thesensitivity of findings to this rather strong assumption,*° a mul-tiple imputation model was fit, in which the association betweenloss to follow-up and abstinence was varied over a broad rangeof possible values (eAppendix B in Supplement 2).

      INTERPRETIVE QUESTION: Missing-not-at-random is a strong assumption. If teens lost to follow-up were equally likely to have quit in both groups, this assumption understates the true effect.

    3. he primary analysis counted eachparticipant in their originally assigned group and used a missing-not-at-random assumption in which participants lost to follow-up were coded as treatment failures (ie, vaping).

      Statistical Method: STRENGTH: Conservative, intent-to-treat approach with transparent assumption.

    4. o adolescent vaping cessation studies were available to in-form power calculations.’” Therefore, the sample size calcu-lations drew on abstinence rates from a young adult vaping ces-sation trial (24.1% treatment vs 18.6% control)'? weighedagainst the high level of interest in quitting vaping amongadolescents® and the lack of effectiveness of most adolescentsmoking cessation intervention

      Sample ize

    5. he 7-month end point wasselected to align with the measurement approach of USquitlines.

      STRENGTH: Clear definition of abstinence (all nicotine devices, not just specific brands).

    6. overreporting and underreporting of absti-nence are possible

      This is a judgment call, not settled science. One citation is provided (Benowitz et al. 2020) defending this, but this is debatable. Social desirability bias could inflate intervention effects since intervention participants had more contact with the program and might feel obligated to report success.

    7. Following best practices regarding the measurement oftreatment outcome in adolescent cessation trials,” the pri-mary outcome was self-reported 30-day point-prevalence ab-stinence from e-cigarettes.

      Measures

    8. Monthly check-in texts to everyone asking "how's the quit going?" Similar to placebo effect. Both groups get quit-focused messaging, which could inflate both arms. The waitlist control is similar to assessment only, suggesting assessment reactivity isn't the issue, but this is worth noting as a potential confound.

    9. To minimize differential attrition and optimize follow-up rates,incentivized text message assessments ($5 each) regardinge-cigarette use were sent to all participants at 14 days after ran-domization (Checking in: Have you cut down how much you vapenicotine in the past 2 weeks? Respond w/letter: A=I still use thesame amount, B=I use less, C=I don’t use at all anymore) andmonthly thereafter

      Incentive

    10. Numerous steps were taken to prevent duplicate and fraudu-lent enrollments (Supplement 1).

      Limitation: This creates an additional barrier. Teens who delayed enrollment are excluded, potentially selecting for more organized/motivated participants. This narrows generalizability further.

    11. Only those who confirmed enroll-ment within 24 hours were enrolled.

      LIMITATION: This method selects for teens who use social media, see ads, are willing to click and enroll online. Not including the less tech savy.

  2. Sep 2026
    1. Individuals who did not pass decisional capacity were directed to a free quit vaping program.

      Interpretive Question: This is ethically reasonable but means no parental oversight of teens in the study. If a teen experienced adverse effects (e.g., from crisis text line referrals or mental health content), parents wouldn't know. The IRB approved this, but readers should be aware of this trade-off.

    2. Although several vap- ing cessation programs are available” with evaluation efforts underway,” there are no published randomized trials of inter- ventions to stop e-cigarette use among adolescents.”

      Limitation to note: These are mechanistic claims based on animal/clinical studies, not necessarily proven in humans with long-term epidemiologic data for adolescents. The causal pathway is plausible but not definitively established in adolescent populations. The citations support this, but readers should know this is an inference from basic science, not prospective cohort data in teens.

    3. The present study tested the hypothesis that adolescents in the intervention group would be more likely to be abstinent at 7 months than partici- pants in an assessment-only control group

      Interpretive Question: They're adapting a young adult intervention for adolescents. But do teens and young adults have different mechanisms of nicotine dependence, peer influence, or motivation to quit? The paper doesn't discuss whether adolescent-specific adaptation was necessary beyond marketing language. One-size-fits-all isn't always right.

    4. Delivered via text message, the in- tervention was proven effective among young adults in the only vaping cessation trial published to date.'*

      Strength: Precise articulation of the gap. This is the accurate version of the earlier claim.

    5. Nicotine use during adolescence affects learning, memory, and attention* and in- creases risk for mental health problems and addiction to other drugs later in life.*

      Strength: Establishes the public health significance with cited epidemiology (10% of high school students).

    6. evaluation efforts underway,

      Qualification Needed: This claim appears in the abstract, but it's slightly overstated. There are vaping cessation programs available, and "evaluation efforts underway" is stated later in the paper. What's accurate is that there are no published RCTs of adolescent interventions. The language should be more precise.

    7. A Vaping Cessation Text Message Program for Adolescent E-Cigarette Users

      Interpretive Question: This is presented as unqualified good news, but consider: does "no moderation" mean the intervention works equally for everyone, or does it mean they didn't have enough statistical power to detect differences by subgroup? The paper doesn't address whether they were adequately powered for moderation analyses.