Alcohol Research Consortium in HIV-Intervention Research Arm

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.

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.