Project DEDUCE: Digital Envirotyping to Develop Understanding of Cigarette Smoking and the Environment

NCT ID: NCT07089901

Last Updated: 2026-01-20

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

PHASE4

Total Enrollment

600 participants

Study Classification

INTERVENTIONAL

Study Start Date

2026-02-01

Study Completion Date

2030-07-14

Brief Summary

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Tobacco use is a chronic relapsing condition. That is, even with state-of-the-art treatment, \>70% of smoking cessation attempts end in a return to regular smoking. Research demonstrates that everyday environments associated with smoking trigger craving for cigarettes, provoke smoking, and lead to relapse. However, despite this knowledge, understanding of environmental correlates of smoking has been limited by a reliance on self-report, leading to imprecise information about the physical environments in which people live. To overcome this challenge, the research team has pioneered the development of digital envirotyping, which uses digital tools (e.g., sensors, cameras, artificial intelligence) to efficiently and accurately characterize and categorize environments with the goal of identifying environmental markers of behavior and health. Foundational to the digital envirotyping research is computer vision (CV), a type of artificial intelligence (AI) that enables computer systems to recognize objects and scenes in digital images, mimicking how humans perceive and understand visual information. With CV researchers can extract detailed and accurate information (i.e., objects and location types) about the everyday environments of people who smoke (PWS) and relate that information to smoking behavior. After validating the use of CV, the researchers used CV to develop enviromarkers of relapse risk. Importantly, they identified a novel enviromarker in which people at greater risk for relapse when they quit are exposed to a more consistent level of environment-related smoking risk as they move between their smoking and nonsmoking environments.

Research is now needed to advance digital envirotyping and enviromarker development in the field of tobacco addiction. The study will recruit a diverse, national sample of n=500 adults who are interested in quitting smoking. For two weeks prior to quitting, they will undergo photoEMA in which they will take two pictures of their current environment when they smoke, and randomly 10 times per day resulting in \>300,000 images total. Cessation will be supported by nicotine replacement therapy (i.e., nicotine patch). The primary clinical outcome will be days to relapse. Specific aims are to (1) further develop, refine, and validate methods for efficient digital envirotyping at scale, (2) leverage CV and AI approaches to develop enviromarkers of smoking relapse, and (3) conduct analyses to increase understanding of environmental smoking risk in women and individuals with low socioeconomic status.

Detailed Description

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Conditions

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Smoking

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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study group

All participants will receive transdermal nicotine replacement therapy.

Group Type EXPERIMENTAL

transdermal nicotine replacement therapy

Intervention Type DRUG

All participants will receive transdermal nicotine replacement therapy (21 mg. patches)

Interventions

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transdermal nicotine replacement therapy

All participants will receive transdermal nicotine replacement therapy (21 mg. patches)

Intervention Type DRUG

Other Intervention Names

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NRT, nicotine patch

Eligibility Criteria

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Inclusion Criteria

1. 21 years of age or older;
2. Smoke ≥ 10 cigarettes/day of a brand delivering 0.5 mg nicotine (FTC method);
3. Smoking daily for ≥ 2 years, with a stable smoking pattern for the past 6 months;
4. Intention to quit smoking and set a target quit date in the next 1 month;
5. Have an iPhone or Android smartphone capable of running the photoEMA and iCO software

Exclusion Criteria

1. Pregnant, breastfeeding, or planning to become pregnant during the course of the study;
2. Currently in smoking cessation treatment or current use of smoking cessation products;
3. Regular use (i.e. \>9 days/month) of non-cigarette nicotine-containing products (e.g. cigarillos, e-cigarettes);
4. Anticipating major life changes (e.g. new job, birth of a child) during the course of the study;
5. Unstable medical conditions;
6. Contraindication for nicotine replacement therapy.
Minimum Eligible Age

21 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Institute on Drug Abuse (NIDA)

NIH

Sponsor Role collaborator

Duke University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Francis J. McClernon, PhD

Role: PRINCIPAL_INVESTIGATOR

Duke University

Locations

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Duke University Medical Center

Durham, North Carolina, United States

Site Status

Countries

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United States

Central Contacts

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Francis J. McClernon, PhD

Role: CONTACT

919-668-3987

Angela Kirby, MS

Role: CONTACT

9198247729

Other Identifiers

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1R01DA062639

Identifier Type: NIH

Identifier Source: secondary_id

View Link

Pro00117480

Identifier Type: -

Identifier Source: org_study_id

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