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Evaluating an mHealth Intervention for Reducing Alcohol Use Among Adolescent and Young Adult Cancer Survivors

C

Carolyn Lauckner

Status

Completed

Conditions

Alcohol Use
Cancer

Treatments

Other: No intervention
Behavioral: TRAC: Tracking and Reducing Alcohol Consumption

Study type

Interventional

Funder types

Other
NIH

Identifiers

NCT05087875
R21CA261844 (U.S. NIH Grant/Contract)
67410

Details and patient eligibility

About

The objective of this study is to adapt and test the feasibility of a 4-week motivational interviewing mHealth intervention, Tracking and Reducing Alcohol Consumption (TRAC), to reduce alcohol use among adolescent and young adult (AYA) cancer survivors during post-treatment survivorship.

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.

Full description

For this study, the investigators will adapt and pilot an existing mHealth intervention (TRAC) to reduce alcohol use among AYAs as part of a randomized controlled trial. TRAC includes weekly phone sessions with an interventionist and incorporates smartphones for daily self-monitoring of alcohol use. Upon enrollment, participants will be randomized into either the intervention (TRAC) arm or control (education and daily self-monitoring) arm.

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.

Enrollment

40 patients

Sex

All

Ages

18 to 39 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Diagnosed with cancer between age 15-39
  • Currently age 18-39
  • 3 months-15 years post-treatment
  • Meets criteria for risky alcohol use
  • Reside in United States

Exclusion criteria

  • Severe psychopathology

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

40 participants in 2 patient groups

TRAC: Tracking and Reducing Alcohol Consumption
Experimental group
Description:
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.
Treatment:
Behavioral: TRAC: Tracking and Reducing Alcohol Consumption
Control
Active Comparator group
Description:
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.
Treatment:
Other: No intervention

Trial documents
1

Trial contacts and locations

1

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Central trial contact

Carolyn Lauckner, PhD

Data sourced from clinicaltrials.gov

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