Trial Outcomes & Findings for A Smartphone Application (ACT on Vaping) for Vaping Cessation in Young Adults (NCT NCT05897242)

NCT ID: NCT05897242

Last Updated: 2025-06-24

Results Overview

We calculated descriptive statistics (mean, standard deviation) for the primary acceptability benchmark of overall satisfaction averaging at least 3.5 on a 1-5 Likert-type scale within the ACT on Vaping arm only. Overall satisfaction was assessed with a 5-point Likert-type item on the 3-month follow-up survey, with response options ranging from (1) "not at all" to (5) "very much." The ACT on Vaping benchmark average of 3.5 falls between ratings of 3="somewhat" and 4="mostly." Higher values are associated with a higher level of satisfaction.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

61 participants

Primary outcome timeframe

At 3 months post-randomization

Results posted on

2025-06-24

Participant Flow

Participants were recruited via the Facebook/Instagram advertising platform. Two hundred individuals were eligible. The final sample comprised 61 participants who were randomized in January 2024.

Participant milestones

Participant milestones
Measure
Arm I (Act on Vaping App)
Participants receive supportive messages and use the ACT on Vaping smartphone app. They also receive incentivized text message check-ins assessing their vaping status. Smartphone app: Use ACT on Vaping smartphone app Text Message: Receive text messages Survey Administration: Ancillary studies
Arm II (Incentivized Text Message Check-ins)
Participants receive incentivized text messages check-ins assessing their vaping status. Text Message: Receive text messages Survey Administration: Ancillary studies
Overall Study
STARTED
31
30
Overall Study
COMPLETED
23
29
Overall Study
NOT COMPLETED
8
1

Reasons for withdrawal

Reasons for withdrawal
Measure
Arm I (Act on Vaping App)
Participants receive supportive messages and use the ACT on Vaping smartphone app. They also receive incentivized text message check-ins assessing their vaping status. Smartphone app: Use ACT on Vaping smartphone app Text Message: Receive text messages Survey Administration: Ancillary studies
Arm II (Incentivized Text Message Check-ins)
Participants receive incentivized text messages check-ins assessing their vaping status. Text Message: Receive text messages Survey Administration: Ancillary studies
Overall Study
Lost to Follow-up
6
1
Overall Study
Incomplete
1
0
Overall Study
Withdrawal by Subject
1
0

Baseline Characteristics

A Smartphone Application (ACT on Vaping) for Vaping Cessation in Young Adults

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
Arm I (Act on Vaping App)
n=31 Participants
Participants receive supportive messages and use the ACT on Vaping smartphone app. They also receive incentivized text message check-ins assessing their vaping status. Smartphone app: Use ACT on Vaping smartphone app Text Message: Receive text messages Survey Administration: Ancillary studies
Arm II (Incentivized Text Message Check-ins)
n=30 Participants
Participants receive incentivized text messages check-ins assessing their vaping status. Text Message: Receive text messages Survey Administration: Ancillary studies
Total
n=61 Participants
Total of all reporting groups
Age, Continuous
21.5 years
STANDARD_DEVIATION 3.2 • n=5 Participants
22 years
STANDARD_DEVIATION 3.6 • n=7 Participants
21.8 years
STANDARD_DEVIATION 3.4 • n=5 Participants
Sex: Female, Male
Female
22 Participants
n=5 Participants
13 Participants
n=7 Participants
35 Participants
n=5 Participants
Sex: Female, Male
Male
9 Participants
n=5 Participants
17 Participants
n=7 Participants
26 Participants
n=5 Participants
Race (NIH/OMB)
American Indian or Alaska Native
1 Participants
n=5 Participants
1 Participants
n=7 Participants
2 Participants
n=5 Participants
Race (NIH/OMB)
Asian
3 Participants
n=5 Participants
2 Participants
n=7 Participants
5 Participants
n=5 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
n=5 Participants
0 Participants
n=7 Participants
0 Participants
n=5 Participants
Race (NIH/OMB)
Black or African American
0 Participants
n=5 Participants
0 Participants
n=7 Participants
0 Participants
n=5 Participants
Race (NIH/OMB)
White
22 Participants
n=5 Participants
27 Participants
n=7 Participants
49 Participants
n=5 Participants
Race (NIH/OMB)
More than one race
5 Participants
n=5 Participants
0 Participants
n=7 Participants
5 Participants
n=5 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
n=5 Participants
0 Participants
n=7 Participants
0 Participants
n=5 Participants
Region of Enrollment
United States
31 participants
n=5 Participants
30 participants
n=7 Participants
61 participants
n=5 Participants
Vaping frequency (past 30 days)
Once a week or more but not daily
6 Participants
n=5 Participants
0 Participants
n=7 Participants
6 Participants
n=5 Participants
Vaping frequency (past 30 days)
At least daily
25 Participants
n=5 Participants
30 Participants
n=7 Participants
55 Participants
n=5 Participants
Vaping intensity (past 30 days)
0-4 times/day
6 Participants
n=5 Participants
1 Participants
n=7 Participants
7 Participants
n=5 Participants
Vaping intensity (past 30 days)
5-9 times/day
10 Participants
n=5 Participants
7 Participants
n=7 Participants
17 Participants
n=5 Participants
Vaping intensity (past 30 days)
10-14 times/day
4 Participants
n=5 Participants
6 Participants
n=7 Participants
10 Participants
n=5 Participants
Vaping intensity (past 30 days)
15-19 times/day
5 Participants
n=5 Participants
5 Participants
n=7 Participants
10 Participants
n=5 Participants
Vaping intensity (past 30 days)
20-29 times/day
3 Participants
n=5 Participants
5 Participants
n=7 Participants
8 Participants
n=5 Participants
Vaping intensity (past 30 days)
30+ times/day
3 Participants
n=5 Participants
6 Participants
n=7 Participants
9 Participants
n=5 Participants
Other tobacco product use (past 30 days)
Not at all
15 Participants
n=5 Participants
13 Participants
n=7 Participants
28 Participants
n=5 Participants
Other tobacco product use (past 30 days)
Less than once a month
5 Participants
n=5 Participants
8 Participants
n=7 Participants
13 Participants
n=5 Participants
Other tobacco product use (past 30 days)
Once a month or more, but less than once a week
4 Participants
n=5 Participants
3 Participants
n=7 Participants
7 Participants
n=5 Participants
Other tobacco product use (past 30 days)
Once a week or more, but not daily
4 Participants
n=5 Participants
2 Participants
n=7 Participants
6 Participants
n=5 Participants
Other tobacco product use (past 30 days)
At least daily
3 Participants
n=5 Participants
4 Participants
n=7 Participants
7 Participants
n=5 Participants
24-hour quit attempts (past 12 months)
At least 1 attempt
26 Participants
n=5 Participants
21 Participants
n=7 Participants
47 Participants
n=5 Participants
24-hour quit attempts (past 12 months)
No attempts
5 Participants
n=5 Participants
9 Participants
n=7 Participants
14 Participants
n=5 Participants
Contemplation Ladder Score
High quit readiness (>5)
24 Participants
n=5 Participants
24 Participants
n=7 Participants
48 Participants
n=5 Participants
Contemplation Ladder Score
Low quit readiness (≤ 5)
7 Participants
n=5 Participants
6 Participants
n=7 Participants
13 Participants
n=5 Participants
e-cigarette Fagerström Test for Nicotine Dependence (e-FTND)
5 units on a scale
STANDARD_DEVIATION 2.2 • n=5 Participants
5.4 units on a scale
STANDARD_DEVIATION 2.5 • n=7 Participants
5.2 units on a scale
STANDARD_DEVIATION 2.3 • n=5 Participants

PRIMARY outcome

Timeframe: At 3 months post-randomization

Population: We calculated descriptive statistics (e.g., means, proportions) for the ACT on Vaping treatment group to evaluate the go/no-go criteria and to compare the two arms on other indicators of treatment acceptability and efficacy. Given that pilot and feasibility trials are not appropriate designs for testing hypotheses regarding the efficacy of interventions, we focused on descriptive differences as an alternative to hypothesis testing.

We calculated descriptive statistics (mean, standard deviation) for the primary acceptability benchmark of overall satisfaction averaging at least 3.5 on a 1-5 Likert-type scale within the ACT on Vaping arm only. Overall satisfaction was assessed with a 5-point Likert-type item on the 3-month follow-up survey, with response options ranging from (1) "not at all" to (5) "very much." The ACT on Vaping benchmark average of 3.5 falls between ratings of 3="somewhat" and 4="mostly." Higher values are associated with a higher level of satisfaction.

Outcome measures

Outcome measures
Measure
Arm I (Act on Vaping App)
n=21 Participants
Participants receive supportive messages and use the ACT on Vaping smartphone app. They also receive incentivized text message check-ins assessing their vaping status. Smartphone app: Use ACT on Vaping smartphone app Text Message: Receive text messages Survey Administration: Ancillary studies
Arm II (Incentivized Text Message Check-ins)
Participants receive incentivized text messages check-ins assessing their vaping status. Text Message: Receive text messages Survey Administration: Ancillary studies
Overall Treatment Satisfaction Rating
3.8 units on a scale
Standard Deviation 1.3

PRIMARY outcome

Timeframe: From baseline to 3 months post-randomization

Population: We calculated descriptive statistics (e.g., means, proportions) for the ACT on Vaping treatment group to evaluate the go/no-go criteria and to compare the two arms on other indicators of treatment acceptability and efficacy.

Will evaluate differences of Contemplation Ladder scores. The 1-item Contemplation Ladder, scores range from 0-10, was used to assess readiness to quit using e-cigarettes. The higher the score, the more ready the person is to make a change. The anchor for the cut-off score of 5, indicating high vs. low quit readiness, is "Think I should quit but not quite ready."

Outcome measures

Outcome measures
Measure
Arm I (Act on Vaping App)
n=24 Participants
Participants receive supportive messages and use the ACT on Vaping smartphone app. They also receive incentivized text message check-ins assessing their vaping status. Smartphone app: Use ACT on Vaping smartphone app Text Message: Receive text messages Survey Administration: Ancillary studies
Arm II (Incentivized Text Message Check-ins)
n=29 Participants
Participants receive incentivized text messages check-ins assessing their vaping status. Text Message: Receive text messages Survey Administration: Ancillary studies
Change in Readiness to Quit
0.96 units on a scale
Standard Deviation 2.0
0.72 units on a scale
Standard Deviation 1.7

PRIMARY outcome

Timeframe: At 3 months post-randomization

Making a 24-hour quit attempt between baseline and 3-month follow-up was assessed via self-report at the 3-month follow-up survey. The percentage of participants with self-reported 24-hour quit attempts is evaluated descriptively.

Outcome measures

Outcome measures
Measure
Arm I (Act on Vaping App)
n=24 Participants
Participants receive supportive messages and use the ACT on Vaping smartphone app. They also receive incentivized text message check-ins assessing their vaping status. Smartphone app: Use ACT on Vaping smartphone app Text Message: Receive text messages Survey Administration: Ancillary studies
Arm II (Incentivized Text Message Check-ins)
n=29 Participants
Participants receive incentivized text messages check-ins assessing their vaping status. Text Message: Receive text messages Survey Administration: Ancillary studies
Percentage of Participants With a 24-hour Quit Attempt
21 Participants
22 Participants

PRIMARY outcome

Timeframe: At 3 months post-randomization

Complete case, self-reported 30-day abstinence from all nicotine and tobacco products at 3 months, confirmed via saliva cotinine testing. Differences were evaluated descriptively.

Outcome measures

Outcome measures
Measure
Arm I (Act on Vaping App)
n=24 Participants
Participants receive supportive messages and use the ACT on Vaping smartphone app. They also receive incentivized text message check-ins assessing their vaping status. Smartphone app: Use ACT on Vaping smartphone app Text Message: Receive text messages Survey Administration: Ancillary studies
Arm II (Incentivized Text Message Check-ins)
n=29 Participants
Participants receive incentivized text messages check-ins assessing their vaping status. Text Message: Receive text messages Survey Administration: Ancillary studies
Cotinine-confirmed 30-day Point Prevalence Abstinence From All Nicotine and Tobacco
1 Participants
0 Participants

Adverse Events

Arm I (Act on Vaping App)

Serious events: 0 serious events
Other events: 1 other events
Deaths: 0 deaths

Arm II (Incentivized Text Message Check-ins)

Serious events: 0 serious events
Other events: 3 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Other adverse events
Measure
Arm I (Act on Vaping App)
n=31 participants at risk
Participants receive supportive messages and use the ACT on Vaping smartphone app. They also receive incentivized text message check-ins assessing their vaping status. Smartphone app: Use ACT on Vaping smartphone app Text Message: Receive text messages Survey Administration: Ancillary studies
Arm II (Incentivized Text Message Check-ins)
n=30 participants at risk
Participants receive incentivized text messages check-ins assessing their vaping status. Text Message: Receive text messages Survey Administration: Ancillary studies
Respiratory, thoracic and mediastinal disorders
COVID-19 infection
0.00%
0/31 • Adverse events were collected by a web-based survey (on Day 21, 42, 63, and at the 3-month follow-up time point).
Adverse events were collected by a web-based survey, and their relationship to the intervention was adjudicated by an independent medical monitor.
3.3%
1/30 • Number of events 1 • Adverse events were collected by a web-based survey (on Day 21, 42, 63, and at the 3-month follow-up time point).
Adverse events were collected by a web-based survey, and their relationship to the intervention was adjudicated by an independent medical monitor.
Psychiatric disorders
Worsening of pre-existing mental health condition
0.00%
0/31 • Adverse events were collected by a web-based survey (on Day 21, 42, 63, and at the 3-month follow-up time point).
Adverse events were collected by a web-based survey, and their relationship to the intervention was adjudicated by an independent medical monitor.
3.3%
1/30 • Number of events 1 • Adverse events were collected by a web-based survey (on Day 21, 42, 63, and at the 3-month follow-up time point).
Adverse events were collected by a web-based survey, and their relationship to the intervention was adjudicated by an independent medical monitor.
Cardiac disorders
Lowered resting heart rate
3.2%
1/31 • Number of events 1 • Adverse events were collected by a web-based survey (on Day 21, 42, 63, and at the 3-month follow-up time point).
Adverse events were collected by a web-based survey, and their relationship to the intervention was adjudicated by an independent medical monitor.
0.00%
0/30 • Adverse events were collected by a web-based survey (on Day 21, 42, 63, and at the 3-month follow-up time point).
Adverse events were collected by a web-based survey, and their relationship to the intervention was adjudicated by an independent medical monitor.
Skin and subcutaneous tissue disorders
Burn on inner thigh.
0.00%
0/31 • Adverse events were collected by a web-based survey (on Day 21, 42, 63, and at the 3-month follow-up time point).
Adverse events were collected by a web-based survey, and their relationship to the intervention was adjudicated by an independent medical monitor.
3.3%
1/30 • Number of events 1 • Adverse events were collected by a web-based survey (on Day 21, 42, 63, and at the 3-month follow-up time point).
Adverse events were collected by a web-based survey, and their relationship to the intervention was adjudicated by an independent medical monitor.

Additional Information

Jaimee Heffner, Associate Professor

Fred Hutchinson Cancer Center

Phone: 2066677314

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place