Table 1.
First author, year | Location (Region) | Data collection method | Participants N total sample (N Black) | Measure of alcohol use | Measure of ART adherence | Main Findings: Association between alcohol use and ART adherence |
---|---|---|---|---|---|---|
Hightow-Weidman, 2017 | North Carolina (South) | Survey | 193 | Past 3 months |
Visual Analogue Scale (VAS): participants select a value ranging from 0–100% to indicate ART adherence Adherence cut point: ≥ 90% classified as adherent |
79.3% reported alcohol use 70.8% reported ART adherence No significant association between alcohol use and adherence (Unadjusted POR [0.48, (0.20, 1.17); p = 0.11] |
Dworkin, 2020 | Chicago, Illinois (Midwest) |
Electronic adherence monitoring (Wisepill) Interviews |
40 | Number of days per week alcohol is consumed | Number of ART doses missed in the past 4 days |
60% reported drinking alcohol at least one day or more per week 53% reported ART adherence When ART adherence was defined as < 90, participants self-reported ART adherence ranged from 79 to 82% In the interviews, 1/32 participants reported missing a dose because they went out drinking |
Voisin 2017 | Chicago, Illinois (Midwest) | Survey | 92 | Daily or weekly alcohol use in past 3 months |
Participants were asked to self-report what percent, from 0 to 100, did they took their medication as prescribed in the last 30 days Adherence cut point: ≥ 90% classified as adherent |
67.4% reported daily or weekly alcohol use in the past 3 months 61.4–67.1% reported ART adherence in the past 30 days (baseline) Daily/weekly alcohol consumption in the past three months was not a predictor of high medication adherence among participants in Chicago OR [.150, (.037–.606); p < .01) |
Mutchler, 2019 | Los Angeles County, California (West) | Survey | 209 | Problem alcohol use measured via the Rapid Alcohol Screen Test |
Participants were asked to estimate the percentage (range 0 to 100) of prescribed HIV medication that they took in the last month Adherence cut point: ≥ 85% classified as adherent |
34.2% of all participants reported problem alcohol use; however, 36% of younger Black MSM (under 50) reporting problem alcohol use compared to 30% of older Black MSM (50 or older) 83.32% reported ART adherence [80.67% in younger sample (under 50); 87.87% in older sample (50 or older)] Problem alcohol use was a significant predictor of lower self-reported adherence among the younger sample bivariate: -16.71(4.26) (p < .001); multivariate: − 15.20 (6.40) (p < .05) |
Jemmott, 2019 | Philadelphia, Pennsylvania (North) | Interviews | 27 | Participants discussed positive and negative behavioral, normative, and control beliefs associated with taking ART as prescribed |
No percentage of alcohol use reported 75% reported ART adherence Negative behavioral beliefs surrounding the interference of alcohol consumption and medication adherence was listed as a factor in the individual’s decision to take, or not take ART as prescribed |