- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06697496
A Smartphone Application (QuitBot) for the Improvement of Smoking Cessation Among American Indians and Alaska Natives, NAITIVE Trial
Navigation and Artificial Intelligence Technology for Indigenous Virtual Education on Smoking Cessation (NAITIVE)
Study Overview
Status
Conditions
Detailed Description
OUTLINE: Participants are randomized to 1 of 2 arms. Both groups receive access to a 42-day quit smoking program.
ARM I: Participants receive daily QuitBot program chatbot messages about the importance of quitting smoking, setting a quit date, preparing to quit, quitting, and maintaining abstinence over 42 days.
ARM II: Participants receive daily QuitBot text messages about the importance of quitting smoking, setting a quit date, preparing to quit, quitting, and maintaining abstinence over 42 days.
After completion of study intervention, participants are followed up at 3, 6, and 12 months and may be contacted thereafter for up to 24 months.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Jonathan Bricker, PhD
- Phone Number: 206-667-5074
- Email: jbricker@fredhutch.org
Study Locations
-
-
Washington
-
Seattle, Washington, United States, 98109
- Fred Hutch/University of Washington Cancer Consortium
-
Contact:
- Jonathan Bricker, PhD
- Phone Number: 206-667-5074
- Email: jbricker@fredhutch.org
-
Principal Investigator:
- Jonathan Bricker, PhD
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Self-identifying as American Indian or Alaska Native, either alone or in combination with other races
- Age 18 and older
- Smoking combustible cigarettes daily in the past year
- Interest in quitting smoking
- Interest in learning skills to quit smoking
- Willing to be randomly assigned
- Have daily access to their own Android or iPhone smartphone
- Ability to download a smartphone app
- Ability to read English
- Not currently (i.e., within past 30 days) using other smoking cessation interventions
- No prior participation in our studies
- No prior use of SFT
- No household or family member participating
- US residency for the next twelve months
- Willingness to complete follow-up assessments at the 3-, 6-, and 12-month follow-ups
- Providing email, phone number(s), and mailing address
Exclusion Criteria:
- The reverse of the inclusion criteria
- Pregnant or breastfeeding
- Use of other tobacco products (e.g., ceremonial use of tobacco, e-cigarettes) will be assessed but is not an exclusion criterion, as it would limit the study's generalizability
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Triple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Arm I (QuitBot chatbot)
Participants participate in the QuitBot program which involves chatbot messages over 42 days.
Therapy description withheld to protect the integrity of the study.
|
Ancillary studies
Ancillary studies
Participate in Quitbot chatbot program
Other Names:
Ancillary studies
Other Names:
|
|
Active Comparator: Arm II (QuitBot texting)
Participants participate in the QuitBot program which involves text messages over 42 days.
Therapy description withheld to protect the integrity of the study.
|
Ancillary studies
Ancillary studies
Other Names:
Participate in Quitbot texting program
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
30-day point prevalence abstinence (PPA)
Time Frame: At 12-months post-randomization
|
Will use a logistic regression model and standard smoking cessation trial intent-to-treat analysis, with all missing outcomes will be coded as smoking.
The model will adjust for stratification factors and baseline factors that are significantly related to the outcome.
Sensitivity analyses will include: (1) multiple imputation of missing outcomes, (2) complete case analysis, and (3) carbon monoxide (CO)-verified results adjusted for use of other combustible nicotine-containing tobacco products at the 12-month follow-up-in order to differentiate them from use of cigarettes at 12 months.
|
At 12-months post-randomization
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
30-day PPA
Time Frame: At 3- and 6- months post-randomization
|
Also 24-hour and 7-day PPA at the 3-, 6-, and 12- month follow-ups.
Will use a logistic regression model and standard smoking cessation trial intent-to-treat analysis, with all missing outcomes will be coded as smoking.
The model will adjust for stratification factors and baseline factors that are significantly related to the outcome.
Sensitivity analyses will include: (1) multiple imputation of missing outcomes, (2) complete case analysis, and (3) CO-verified results adjusted for use of other combustible nicotine-containing tobacco products at the 12-month follow-up-in order to differentiate them from use of cigarettes at 12 months.
|
At 3- and 6- months post-randomization
|
|
Measures of bond between user and conversational chatbot
Time Frame: At 3- and 6-months post-randomization
|
Will be measured via four subscales of the 12-item Working Alliance Inventory for Tobacco (WAIT-12), with technology intervention adaptations similar to those of prior chatbot research.
Will calculate the proportion of treatment effect explained by each of the mediators.
Number of times participants engaged with the intervention will be adjusted in Poisson regressions that account for the number of prompts a participant received.
|
At 3- and 6-months post-randomization
|
|
Agreement on goals of treatment
Time Frame: At 3- and 6-months post-randomization
|
Will be measured via four subscales of the WAIT-12, with technology intervention adaptations similar to those of prior chatbot research.
Will calculate the proportion of treatment effect explained by each of the mediators.
|
At 3- and 6-months post-randomization
|
|
Agreement on tasks of treatment
Time Frame: At 3- and 6-months post-randomization
|
Will be measured via four subscales of the WAIT-12, with technology intervention adaptations similar to those of prior chatbot research.
Will calculate the proportion of treatment effect explained by each of the mediators.
|
At 3- and 6-months post-randomization
|
|
User's sense that QuitBot understands their needs
Time Frame: At 3- and 6-months post-randomization
|
Will be measured via four subscales of the WAIT-12, with technology intervention adaptations similar to those of prior chatbot research.
Will calculate the proportion of treatment effect explained by each of the mediators.
|
At 3- and 6-months post-randomization
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Jonathan Bricker, PhD, Fred Hutch/University of Washington Cancer Consortium
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Health Care Quality, Access, and Evaluation
- Investigative Techniques
- Epidemiologic Methods
- Data Collection
- Health Care Evaluation Mechanisms
- Quality of Health Care
- Public Health
- Environment and Public Health
- Inorganic Chemicals
- Oxides
- Oxygen Compounds
- Gases
- Carbon Compounds, Inorganic
- Carbon Monoxide
- Interviews as Topic
Other Study ID Numbers
- RG1124884
- NCI-2024-08892 (Registry Identifier: CTRP (Clinical Trial Reporting Program))
- U19MD020533 (U.S. NIH Grant/Contract)
- FHIRB0020651 (Other Identifier: Fred Hutch/University of Washington Cancer Consortium)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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