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)
4 other identifiers
interventional
772
1 country
1
Brief Summary
This clinical trial develops a chatbot smartphone application (app), QuitBot, and text messaging to help American Indians (AI) and Alaska Natives (AN) to quit smoking commercial tobacco (smoking cessation), and evaluates two remote smoking cessation programs to see how well they work for helping AI/AN people quit smoking commercial tobacco. AI/AN populations have one of the highest rates of commercial cigarette smoking of any racial and ethnic group in the United States (US). They also have a higher rate of developing smoking-related cancer but are less likely to quit smoking. The two programs are designed to provide personalized support in setting a smoking cessation goal, tasks to reach the smoking cessation goal, and motivation to remain smoke-free. This may help to keep participants engaged and support them in their quit efforts, and may improve smoking cessation among AI and AN.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jun 2026
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 18, 2024
CompletedFirst Posted
Study publicly available on registry
November 20, 2024
CompletedStudy Start
First participant enrolled
June 1, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
October 31, 2029
Study Completion
Last participant's last visit for all outcomes
October 31, 2030
February 19, 2026
February 1, 2026
3.4 years
November 18, 2024
February 17, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
30-day point prevalence abstinence (PPA)
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 Outcomes (5)
30-day PPA
At 3- and 6- months post-randomization
Measures of bond between user and conversational chatbot
At 3- and 6-months post-randomization
Agreement on goals of treatment
At 3- and 6-months post-randomization
Agreement on tasks of treatment
At 3- and 6-months post-randomization
User's sense that QuitBot understands their needs
At 3- and 6-months post-randomization
Study Arms (2)
Arm I (QuitBot chatbot)
EXPERIMENTALParticipants participate in the QuitBot program which involves chatbot messages over 42 days. Therapy description withheld to protect the integrity of the study.
Arm II (QuitBot texting)
ACTIVE COMPARATORParticipants participate in the QuitBot program which involves text messages over 42 days. Therapy description withheld to protect the integrity of the study.
Interventions
Participate in Quitbot texting program
Ancillary studies
Participate in Quitbot chatbot program
Eligibility Criteria
You may qualify if:
- 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
- +1 more criteria
You may not qualify if:
- Pregnant or breastfeeding
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Fred Hutch/University of Washington Cancer Consortium
Seattle, Washington, 98109, United States
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jonathan Bricker, PhD
Fred Hutch/University of Washington Cancer Consortium
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- TRIPLE
- Who Masked
- PARTICIPANT, INVESTIGATOR, OUTCOMES ASSESSOR
- Masking Details
- Random assignments will be concealed from participants and researchers throughout the trial. Follow-up data will be collected by survey research unit that will be blind to random assignment.
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 18, 2024
First Posted
November 20, 2024
Study Start (Estimated)
June 1, 2026
Primary Completion (Estimated)
October 31, 2029
Study Completion (Estimated)
October 31, 2030
Last Updated
February 19, 2026
Record last verified: 2026-02
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF
- Time Frame
- The de-identified scientific data will be made available to other users no later than the time of publication of the primary outcomes, or at the end of the performance period, whichever comes first. The de-identified data deposited in openICPSR will be available to the research community in perpetuity.
- Access Criteria
- Members of the research community using this data must register with ICPSR and agree to the Terms of Use, which include limiting data use to scientific research and aggregate statistical reporting, prohibiting attempts to identify study participants, requiring immediate reporting of any disclosure of participant identity, and requiring users agree not to share or redistribute any data downloads.
The trial results data will be published on ClinicalTrials.gov. The de-identified scientific data will be made available as public use data to the research community in openICPSR. No PII or PHI data will be shared or available for secondary use.