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
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.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
4,985
A video which emphasizes personal responsibility for change, uses empathy as a counseling style, and enhances self-efficacy. Depending on alcohol dependence level, four different CBI versions may be shown over two visits.
9 computerized modules delivered at the participant's pace
The APT algorithm will utilize the four FDA approved APTs for the treatment of alcohol use disorder. The treatment of the patient is part of routine care.
University of Alabama at Birmingham
Birmingham, Alabama, United States
Harborview Medical Center; 2 West Clinic; UW Center for AIDS
Seattle, Washington, United States
Audit-C Score on a Scale
Difference in Audit-C score, pre and post intervention. The AUDIT-C is scored on a scale of 0-12 (scores of 0 reflect no alcohol use). In men, a score of 4 or more is considered positive; in women, a score of 3 or more is considered positive. Generally, the higher the AUDIT-C score, the more likely it is that the patient's drinking is affecting his/her health and safety.
Time frame: 18 month window
PEth Levels
PEth is a biomarker for recent alcohol use found in the blood that is specific to ethanol ingestion and can detect low-to heavy drinking levels.
Time frame: Between baseline and 6 month follow-up
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