Faculty Bibliography

BACKGROUND:Frequent emergency department (ED) visits often suggest inappropriate use for low acuity needs and multiple comorbidities, including substance use disorders. OBJECTIVE:This study examines associations of individuals and their social networks with high frequency ED use among persons reporting substance use. METHODS:Information was obtained from interview responses from the first 6-month follow-up visit of a longitudinal. Prevalence ratios for the outcome of high frequency ED visits (≥2 in 6 months) were determined with a generalized linear model, log link, Poisson distribution and robust standard errors. RESULTS:Of 653 participants, 131 (20%) had ≥2 ED visits. In multivariable analysis, greater likelihood of high frequency ED visits over 6 months was associated with being homeless (PR: 1.58; 95% CI: 1.19, 2.10), taking ≥3 medications (PR: 1.58; 95% CI: 1.19, 2.10) and having had a hospitalization over the same period (PR: 4.33; 95% CI: 3.26, 7.56). Among social network factors, lower likelihood of high frequency visits was associated with each increasing year of mean alter age (PR: 0.98; 95% CI: 0.6, 0.99) and greater likelihood with having received health-related informational support from ≥2 alters (PR: 1.62; 95% CI: 1.04, 2.53). Conclusions/Importance: Social network factors may play an important role in ED use. Interventions to promote health behaviors through social influence may be helpful in reducing high frequency ED visits.

Medicaid enrollment varies considerably among states. This study examined the association of Medicaid enrollment with the use of substance health services in the longitudinal National Epidemiologic Survey on Alcohol and Related Conditions of 2001-2005. Instrumental variable methods were used to assess endogeneity of individual-level Medicaid enrollment using state-level data as instruments. Compared to the uninsured, Medicaid covered adults were more likely to use substance use disorder treatment services over the next three years. States that have opted to expand Medicaid enrollment under the Affordable Care Act will likely experience further increases in the use of these service over the coming years.

OBJECTIVES:To present and discuss recent patterns of prescription opioid sales throughout Brazil. METHODS:We graphed linear trends of opioid prescriptions sold from registered pharmacies across Brazil from 2009 to 2015. We then calculated the change in rate of prescriptions sold per 1000 persons in 2015 compared with 2009. RESULTS:Opioid sales increased across Brazil from 1 601 043 prescriptions in 2009 to 9 045 945 prescriptions in 2015, corresponding to a 465% increase in 6 years. The largest absolute increase was for codeine products (rate ratio (RR) = 5.30; 95% confidence interval [CI] = 5.29, 5.31), accounting for more than 98% of prescriptions in both years. Oxycodone had the largest relative increase (RR = 11.39; 95% CI = 11.19, 11.59), and fentanyl products had the smallest absolute and relative increase (RR = 2.91; 95% CI = 2.78, 3.03). CONCLUSIONS:Given rapid increases in opioid sales across Brazil, it is critical to introduce effective prescribing and monitoring methods that allow patients to access necessary medications without escalating risk of opioid misuse and related consequences. Careful surveillance of supply and subsequent outcomes are needed to prevent the development of another devastating opioid epidemic in the Americas.

INTRODUCTION:Although prior clinical and population-based studies have demonstrated comorbidity between mood and alcohol use disorders (AUD), there is a paucity of research assessing whether mood disorders predict transition across stages of alcohol involvement. METHOD:Hypothesizing that mood disorders predict transition across sex-specific alcohol involvement stages, we used prospective data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), a nationally representative survey of US adults, which included male (n = 14,564) and female (n = 20,089) participants surveyed in 2001-2 and re-interviewed in 2004-5. Latent class (LCA) and latent transition analyses (LTA) were used to assess patterns of alcohol involvement in the US and the association of lifetime mood disorders at baseline with transition across stages of alcohol involvement during follow-up. RESULTS:A three-class model of AUD criteria was identified (No problems, Moderate problems and Severe problems) for both sexes. Positive cross-sectional associations between mood disorder and problem classes of alcohol involvement were found among both sexes, as were positive longitudinal associations. Propensity score adjustment mitigated the associations of baseline mood disorder with progressive transition for both sexes. However, among females, baseline mood disorder was consistently associated with reduction in remission from Severe to Moderate alcohol problems (aOR = 0.30, CI = 0.09-0.99, p = .048) over time. DISCUSSION:Our study provides evidence that mood disorders impact transition through stages of alcohol involvement and are most strongly associated with hindering remission among females. Findings advance our understanding of these comorbid relationships and have clinical implications for ongoing assessment of drinking patterns among individuals with mood disorders.

BACKGROUND:The United States has the highest incarceration rate in the world. Incarceration can increase HIV risk behaviors for individuals involved with the criminal justice system and may be a driver of HIV acquisition within the community. METHODS:We used an agent-based model to simulate HIV transmission in a sexual-contact network representing heterosexual African American men and women in Philadelphia to identify factors influencing the impact of male mass incarceration on HIV acquisition in women. The model was calibrated using surveillance data and assumed incarceration increased the number of sexual contacts and decreased HIV care engagement for men post-release. Incarceration of a partner increased the number of sexual contacts for women. We compared a counterfactual scenario with no incarceration to scenarios varying key parameters to determine what factors drove HIV acquisition in women. RESULTS:Setting the duration of male high-risk sexual behavior to two years post-release increased the number of HIV transmissions to women by more than 20%. Decreasing post-release HIV care engagement and increasing HIV acquisition risk attributable to sexually transmitted infections (STIs) also increased the number of HIV transmissions to women. Changing the duration of risk behavior for women, the proportion of women engaging in higher risk behavior, and the relative risk of incarceration for HIV-infected men had minimal impact. CONCLUSION/CONCLUSIONS:The mass incarceration of African American men can increase HIV acquisition in African American women on a population-level through factors including post-release high-risk behaviors, disruption of HIV care engagement among formerly incarcerated men, and increased STI prevalence. These findings suggest that the most influential points of intervention may be programs seeking to reduce male risk behaviors and promote HIV care engagement post-release, as well as STI testing and treatment programs for recently incarcerated men, as well as women with incarcerated partners.

Ukraine has one of the largest HIV epidemics in Europe, historically driven by people who inject drugs (PWID). The epidemic showed signs of stabilization in 2012, but the recent war in eastern Ukraine may be reigniting virus spread. We investigated the movement of HIV-infected people within Ukraine before and during the conflict. We analyzed HIV-1 subtype-A pol nucleotide sequences sampled during 2012-2015 from 427 patients of 24 regional AIDS centers and used phylogeographic analysis to reconstruct virus movement among different locations in Ukraine. We then tested for correlations between reported PWID behaviors and reconstructed patterns of virus spread. Our analyses suggest that Donetsk and Lugansk, two cities not controlled by the Ukrainian government in eastern Ukraine, were significant exporters of the virus to the rest of the country. Additional analyses showed that viral dissemination within the country changed after 2013. Spearman correlation analysis showed that incoming virus flow was correlated with the number of HIV-infected internally displaced people. Additionally, there was a correlation between more intensive virus movement and locations with a higher proportion of PWID practicing risky sexual behaviors. Our findings suggest that effective prevention responses should involve internally displaced people and people who frequently travel to war-affected regions. Scale-up of harm reduction services for PWID will be an important factor in preventing new local HIV outbreaks in Ukraine.

Implementation trials often involve clustering via risk networks, where only some participants directly receive the intervention. The individual effect is that among directly treated persons beyond being in an intervention network; the disseminated effect is that among persons engaged with those directly treated. In this article, we employ a causal inference framework and discuss assumptions and estimators for individual and disseminated effects and apply them to the HIV Prevention Trials Network 037 Study. HIV Prevention Trials Network 037 was a phase III, network-level, randomized controlled human immunodeficiency virus (HIV) prevention trial conducted in the United States and Thailand from 2002 to 2006 that recruited injection drug users, who were assigned to either an intervention group or a control group, and their risk network members, who received no direct intervention. Combining individual and disseminated effects, we observed a 35% composite rate reduction in the adjusted model (risk ratio = 0.65, 95% confidence interval: 0.47, 0.90). Methodology is now available for estimating the full set of these effects, enhancing knowledge gained from network-randomized trials. Although the overall effect gains validity from network randomization, we show that it will generally be less than the composite effect. Additionally, if only index participants benefit from the intervention, as the network size increases, the overall effect tends toward the null-an unfortunate and misleading conclusion.

PURPOSE:This paper presents an overview of different kinds of risk and social network methods and the kinds of research questions each can address. RECENT FINDINGS:It also reviews what network research has discovered about how network characteristics are associated with HIV and other infections, risk behaviors, preventive behaviors, and care, and discusses some ways in which network-based public health interventions have been conducted. Based on this, risk and social network research and interventions seem both feasible and valuable for addressing the many public health and social problems raised by the widespread use of opioids in the US South.

Background/UNASSIGNED:The Transmission Reduction Intervention Project (TRIP) is a network-based intervention that aims at decreasing human immunodeficiency virus type 1 (HIV-1) spread. We herein explore associations between transmission links as estimated by phylogenetic analyses, and social network-based ties among persons who inject drugs (PWID) recruited in TRIP. Methods/UNASSIGNED:Phylogenetic trees were inferred from HIV-1 sequences of TRIP participants. Highly supported phylogenetic clusters (transmission clusters) were those fulfilling 3 different phylogenetic confidence criteria. Social network-based ties (injecting or sexual partners, same venue engagement) were determined based on personal interviews, recruitment links, and field observation. Results/UNASSIGNED:TRIP recruited 356 individuals (90.2% PWID) including HIV-negative controls; recently HIV-infected seeds; long-term HIV-infected seeds; and their social network members. Of the 150 HIV-infected participants, 118 (78.7%) were phylogenetically analyzed. Phylogenetic analyses suggested the existence of 13 transmission clusters with 32 sequences. Seven of these clusters included 14 individuals (14/32 [43.8%]) who also had social ties with at least 1 member of their cluster. This proportion was significantly higher than what was expected by chance. Conclusions/UNASSIGNED:Molecular methods can identify HIV-infected people socially linked with another person in about half of the phylogenetic clusters. This could help public health efforts to locate individuals in networks with high transmission rates.