Evaluating an mHealth Intervention for Reducing Alcohol Use Among Adolescent and Young Adult Cancer Survivors
NCT ID: NCT05087875
Last Updated: 2025-07-25
Study Results
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View full resultsBasic Information
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COMPLETED
NA
40 participants
INTERVENTIONAL
2022-11-28
2024-07-25
Brief Summary
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At the end of this study, the feasibility data gathered will inform a definitive randomized controlled trial of TRAC-AYA to test the efficacy of the adapted intervention.
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Detailed Description
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Researchers will conduct the study in Kentucky, which leads the nation in cancer incidence and mortality, has a higher incidence of AYA cancers compared to other states, is 40% rural, and encompasses over 100 medically underserved areas. Participants will be recruited from the University of Kentucky Markey Cancer Center and its affiliate institutions.
Preliminary data used for this study were collected from a study (PI: Lauckner, K01AA02530) testing the TRAC intervention with people living with HIV/AIDS, which has shown promising preliminary results, with high feasibility, acceptability, and encouraging preliminary outcomes.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
NONE
Study Groups
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TRAC: Tracking and Reducing Alcohol Consumption
The TRAC intervention focuses on increasing motivation and building skills to reduce alcohol use and involves 4, 30-minute sessions with an interventionist done via video chat or phone.
Participants will complete smartphone-based self-monitoring of alcohol use. Each morning, participants complete a mobile survey indicating if they drank the previous day and if so, how many drinks they had. Surveys will be programmed using REDcap and sent via a link in the reminder text message. Additionally, participants will be prompted each evening and asked to complete a breathalyzer reading using a mobile app to determine blood alcohol content (BAC). If safety concerns are identified (e.g., BAC ≥0.30; blackouts), the interventionist will refer the AYA to a licensed provider with expertise in substance use treatment.
TRAC: Tracking and Reducing Alcohol Consumption
The TRAC intervention focuses on increasing motivation and building skills for avoiding triggers and managing situations that encourage alcohol consumption. Participants set goals for reducing their drinking and learn strategies to help them achieve those goals. It requires four 30-minute sessions with a counselor using mobile phones.
Control
Participants in the control group will receive educational materials regarding alcohol consumption and its link to cancer . They will also participate in smartphone monitoring of alcohol use on the same schedule as participants in the intervention group. This will allow us to compare daily alcohol use data between the two conditions and evaluate the added component of weekly counseling in TRAC.
No intervention
The comparison group will be evaluated based on daily self-monitoring data.
Interventions
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TRAC: Tracking and Reducing Alcohol Consumption
The TRAC intervention focuses on increasing motivation and building skills for avoiding triggers and managing situations that encourage alcohol consumption. Participants set goals for reducing their drinking and learn strategies to help them achieve those goals. It requires four 30-minute sessions with a counselor using mobile phones.
No intervention
The comparison group will be evaluated based on daily self-monitoring data.
Eligibility Criteria
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Inclusion Criteria
* Currently age 18-39
* 3 months-15 years post-treatment
* Meets criteria for risky alcohol use
* Reside in United States
Exclusion Criteria
18 Years
39 Years
ALL
Yes
Sponsors
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National Cancer Institute (NCI)
NIH
Carolyn Lauckner
OTHER
Responsible Party
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Carolyn Lauckner
Associate Professor
Principal Investigators
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Carolyn Lauckner, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Kentucky
Locations
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University of Kentucky
Lexington, Kentucky, United States
Countries
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Provided Documents
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Document Type: Study Protocol, Statistical Analysis Plan, and Informed Consent Form
Other Identifiers
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67410
Identifier Type: -
Identifier Source: org_study_id
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