Alcohol Research Consortium in HIV-Intervention Research Arm
Purpose
Aim 1: Examine effects of algorithm-guided alcohol treatment on alcohol consumption and alcohol use Disorders (AUD) symptoms. Aim 2: Examine effects of algorithm-guided alcohol treatment on retention in HIV care and HIV-related outcomes. Aim 3: Examine effects of algorithm-guided alcohol treatment on comorbid conditions
Conditions
- HIV Positive
- Alcohol Use
Eligibility
- Eligible Ages
- Over 18 Years
- Eligible Genders
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- At least 18 years or older; - Receiving HIV care at the UAB, UW or UCSD clinics and not anticipating changing clinics over the next 12 months; - AUDIT-C score > 3 women or > 4 men at time of PRO.
Exclusion Criteria
- Non-English speaking; - Acutely suicidal, manic, acutely intoxicated, or otherwise not stable enough to provide informed consent.
Study Design
- Phase
- Phase 4
- Study Type
- Interventional
- Allocation
- Non-Randomized
- Intervention Model
- Factorial Assignment
- Primary Purpose
- Treatment
- Masking
- None (Open Label)
Arm Groups
Arm | Description | Assigned Intervention |
---|---|---|
Active Comparator No dx of alcohol use disorder, panic or depre |
Computerized Brief Intervention (CBI)- a video about alcohol abuse |
|
Active Comparator Risky drinking, no dx of AUD, has panic or depression |
Computerized Brief Intervention (CBI)- a video about alcohol abuse, plus 4 sessions of counseling called Motivational Enhancement Therapy |
|
Active Comparator Dx of AUD with or without panic or depression |
Computerized Brief Intervention (CBI)- a video about alcohol abuse, plus 4 sessions of counseling called Motivational Enhancement Therapy plus a recommendation for Alcohol Pharmacotherapy (APT). The drugs recommended in the APT are all standard of care drugs for alcohol treatment and are not under study in this protocol. |
|
More Details
- Status
- Completed
- Sponsor
- University of Alabama at Birmingham
Study Contact
Detailed Description
Aim 1: Examine effects of algorithm-guided alcohol treatment on alcohol consumption and alcohol use Disorders (AUD) symptoms. Hypothesis 1A: Patients who are treated using algorithm-guided alcohol treatment will decrease drinking quantity and or frequency compared to pre-algorithm levels. Hypothesis 1B. Patients who are treated using algorithm-guided treatment will decrease current AUD symptoms compared to pre-algorithm symptoms levels. Aim 2: Examine effects of algorithm-guided alcohol treatment on retention in HIV care and HIV-related outcomes. Hypothesis 2A. Patients treated using algorithm-guided treatment will increase adherence to clinic visits and HIV medications compared to pre-algorithm levels. Hypothesis 2B. Patients who receive algorithm-guided treatment will have improved HIV biomarkers (e.g., CD4 and VL). Hypothesis 3B. There will be a positive relationship between VL and alcohol consumption measured by self-report and PEth level. Aim 3: Examine effects of algorithm-guided alcohol treatment on comorbid conditions (e.g., depression, anxiety, HCV, other drug use disorders). Hypothesis 3A: Persons living with HIV (PLWH) with co-morbid depression and anxiety receiving algorithm-guided treatment will have better alcohol, mental health and HIV treatment outcomes compared to similar individuals in SC. Hypothesis 3B: PLWH with comorbid HCV receiving algorithm-guided treatment will have improved FIB4 results and reduced likelihood of HCV recurrence compared to persons in SC. Hypothesis 3C: Other drug use will decrease among those receiving algorithm-guided treatment vs SC.