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Heavy drinking among people living with HIV (PLWH) reduces ART adherence and worsens health outcomes. Lengthy interventions are not feasible in most HIV care settings, and patients infrequently follow referrals to outside treatment. Utilizing visual and video features of smartphone technology, we developed HealthCall as an electronic means of increasing patient involvement in a brief intervention to reduce drinking and improve ART adherence. The objective of the current study is to evaluate the efficacy of HealthCall to improve ART adherence among PLWH who drink heavily when paired with two brief interventions: the National Institute on Alcoholism and Alcohol Abuse (NIAAA) Clinician's Guide (CG) or Motivational Interviewing (MI). Therefore, we conducted a 1:1:1 randomized trial among 114 participants with alcohol dependence at a large urban HIV clinic. Participants were randomized to one of three groups: (1) CG only (n = 37), (2) CG and HealthCall (n = 38), or (3) MI and HealthCall (n = 39). Baseline interventions targeting drinking reduction and ART adherence were ~ 25 min, with brief (10–15 min) booster sessions at 30 and 60 days. The outcome was ART adherence assessed using unannounced phone pill-count method (possible adherence scores: 0–100%) at 30-day, 60-day, 3, 6, and 12 months. Analyses were conducted using generalized linear mixed models with pre-planned contrasts. Of the 114 enrolled patients, 58% were male, 75% identified as Black/African American, 28% were Hispanic, and 62% had less than a high school education. The mean age was 47.5 years (standard deviation [SD] 10 years) and the mean number of years since they were diagnosed with HIV was 18.6 (SD 7.6). Participants assigned to HealthCall to extend the CG had increased levels of ART adherence at 60-day and 6-month follow-up (compared to CG only), although there was no statistically significant difference by 12-month follow-up. Participants who were assigned to HealthCall to extend the MI never had statistically significant higher levels of ART adherence. These results suggest that the use of a smartphone app can be used to initially extend the reach of a brief drinking intervention to improve ART adherence over a short period of time; however, sustained long-term improvements in ART adherence after intervention activity ends remains a challenge. [ABSTRACT FROM AUTHOR]

An association between problem drinking and depression among HIV-infected individuals has been previously demonstrated; however, which specific risky drinking behaviors are associated with higher levels of depression has not yet been investigated. Using an adult sample of HIV-infected primary care patients (78% male, 94% Black or Hispanic), we investigated whether depressive symptoms are associated with various risky drinking behaviors. Participants were administered the Beck Depression Inventory-II to assess depressive symptoms, and the Alcohol Use Disorders and Associated Disabilities Interview Schedule-IV to evaluate alcohol involvement. Participants with depressive symptoms (26%) were at higher risk for alcohol dependence [adjusted odds ratio (AOR) 3.8; 95% CI 2.0-7.2], regular binge drinking (AOR 2.0; 95% CI 1.1-3.8), and regular daytime drinking (AOR 2.1; 95% CI 1.2-3.8), in comparison with their non-depressed counterparts. Because both depression and unhealthy drinking negatively affect medication adherence and clinical outcomes, a better understanding of the association between depression and certain risky drinking behaviors among HIV-infected individuals is vital to improving their care and prognoses. [ABSTRACT FROM AUTHOR]

Objective: Among drug users with HIV and Hepatitis C Virus (HCV) infections, heavy drinking can pose significant risks to health. Yet many drug users with HIV and HCV drink heavily. Clarifying the relationship of drug-using patients' understanding of their illnesses to their drinking behavior could facilitate more effective intervention with these high-risk groups.Method: Among samples of drug users infected with HIV (n=476; 70% male) and HCV (n=1145; 81% male) recruited from drug treatment clinics, we investigated whether patients' perceptions of the risk for severe outcomes related to HIV and HCV were associated with their personal drinking behavior, using generalized logit models. Interactions with co-infection status were also explored.Results: HIV-infected drug users who believed that HIV held highest risk for serious outcomes were the most likely to be risky drinkers, when compared with those with less severe perceptions, X(2)(6)=14.19, p<0.05. In contrast, HCV-infected drug users who believed that HCV held moderate risk for serious outcomes were the most likely to be risky drinkers, X(2)(6)=12.98, p<0.05.Conclusions: In this sample of drug users, risky drinking was most common among those with HIV who believed that severe outcomes were inevitable, suggesting that conveying the message that HIV always leads to severe outcomes may be counterproductive in decreasing risky drinking in this group. However, risky drinking was most common among those with HCV who believed that severe outcomes were somewhat likely. Further research is needed to understand the mechanisms of these associations. [ABSTRACT FROM AUTHOR]

Background Heavy alcohol consumption can be harmful, particularly for individuals with HIV. There is substantial variability in response to interventions that aim to reduce drinking. Neighborhood drinking norms may explain some of this variability among HIV-infected patients. Therefore, we investigated whether neighborhood-level drinking norms modified response to alcohol intervention among HIV-infected heavy drinkers. Methods Heavily-drinking HIV comprehensive care patients ( n = 230) completed 1 of 3 brief alcohol interventions (an educational intervention, a motivational interviewing [ MI] intervention, or an MI intervention with a technological enhancement called HealthCall). Drinking was reported at baseline and end of treatment (60 days). Neighborhood-level drinking norms were obtained from a separate general population study. Results Patients' reductions in drinks per drinking day in response to MI (as compared with the educational control) were more pronounced in neighborhoods with more permissive drinking norms. In contrast, patients' reductions in drinks per drinking day in response to MI plus HealthCall did not significantly vary between neighborhoods with different drinking norms. Norms did not evidence significant interactions with intervention condition for 3 other exploratory drinking outcomes (drinking frequency, binge frequency, and maximum quantity). Conclusions Neighborhood-level drinking norms help explain differential response to an alcohol MI intervention among HIV-infected patients. This study suggests the utility of considering neighborhood context as an effect modifier of alcohol interventions. [ABSTRACT FROM AUTHOR]