Faculty Bibliography

Russia has a widespread injection drug use epidemic with high prevalence of HIV and HCV among people who inject drugs (PWID). We conducted a mixed methods study of young (age 18-26) hard drug users in St. Petersburg. Thirty-nine structured and 10 semi-structured interviews were conducted. No HIV cases and two HCV cases were detected among the PWID subsample (n = 29). Amphetamine and other stimulants were common (70%), opioid use was rare and episodic. Consistent condom use was 10%. No PWID reported syringe-sharing, 51% reported other drug paraphernalia sharing. Most (89%) never or rarely communicated with older (30 +) opiate users. A new cohort of drug users in St. Petersburg may have emerged, which is much safer in its injection practices compared to previous cohorts. However, risky sexual practices among this new cohort may expose them to the possibility of sexual transmission of HIV and widespread drug paraphernalia sharing to the HCV epidemic.

AIMS/OBJECTIVE:To use simulation to estimate the impact of alcohol taxation on drinking, non-fatal violent victimization and homicide in New York City (NYC). We simulate the heterogeneous effects of alcohol price elasticities by income, level of consumption and beverage preferences, and examine whether taxation can reduce income inequalities in alcohol-related violence. DESIGN/METHODS:Agent-based modeling simulation. SETTING/METHODS:NYC, USA. PARTICIPANTS/METHODS:Adult population aged 18-64 years in the year 2000 in the 59 community districts of NYC. The population of 256 500 agents approximates a 5% sample of the NYC population. MEASUREMENTS/METHODS:Agents were parameterized through a series of rules that governed alcohol consumption and engagement in violence. Six taxation interventions were implemented based on extensive reviews and meta-analyses, increasing universal alcohol tax by 1, 5 and 10%, and beer tax by 1, 5 and 10%. FINDINGS/RESULTS:Under no tax increase, approximately 12.2% [95% credible interval (prediction interval, PI) = 12.1-12.3%] were heavy drinkers. Taxation decreased the proportion of heavy drinkers; a 10% tax decreased heavy drinking to 9.6% (95% PI = 9.4-9.8). Beer taxes had the strongest effect on population consumption. Taxation influenced those in the lowest income groups more than the highest income groups. Alcohol-related homicide decreased from 3.22 per 100 000 (95% PI = 2.50-3.73) to 2.40 per 100 000 under a 10% universal tax (95% PI = 1.92-2.94). This translates into an anticipated benefit of ~1200 lives/year. CONCLUSION/CONCLUSIONS:Reductions in alcohol consumption in a large urban environment such as New York City can be sustained with modest increases in universal taxation. Alcohol tax increases also have a modest effect on alcohol-related violent victimization. Taxation policies reduce income inequalities in alcohol-related violence.

PURPOSE/OBJECTIVE:In 1991, California implemented a law that mandated a background check for all firearm purchases with limited exceptions (comprehensive background check or CBC policy) and prohibited firearm purchase and possession for persons convicted within the past 10 years of certain violent crimes classified as misdemeanors (MVP policy). We evaluated the population effect of the simultaneous implementation of CBC and MVP policies in California on firearm homicide and suicide. METHODS:Quasi-experimental ecological study using the synthetic control group methodology. We included annual firearm and nonfirearm mortality data for California and 32 control states for 1981-2000, with secondary analyses up to 2005. RESULTS:The simultaneous implementation of CBC and MVP policies was not associated with a net change in the firearm homicide rate over the ensuing 10 years in California. The decrease in firearm suicides in California was similar to the decrease in nonfirearm suicides in that state. Results were robust across multiple model specifications and methods. CONCLUSIONS:CBC and MVP policies were not associated with changes in firearm suicide or homicide. Incomplete and missing records for background checks, incomplete compliance and enforcement, and narrowly constructed prohibitions may be among the reasons for these null findings.

BACKGROUND:Prescription drug monitoring program are designed to reduce harms from prescription opioids; however, little is known about what populations benefit the most from these programs. We investigated how the relation between implementation of online prescription drug monitoring programs and rates of hospitalizations related to prescription opioids and heroin overdose changed over time, and varied across county levels of poverty and unemployment, and levels of medical access to opioids. METHODS:Ecologic county-level, spatiotemporal study, including 990 counties within 16 states, in 2001-2014. We modeled overdose counts using Bayesian hierarchical Poisson models. We defined medical access to opioids as the county-level rate of hospital discharges for noncancer pain conditions. RESULTS:In 2010-2014, online prescription drug monitoring programs were associated with lower rates of prescription opioid-related hospitalizations (rate ratio 2014 = 0.74; 95% credible interval = 0.69, 0.80). The association between online prescription drug monitoring programs and heroin-related hospitalization was also negative but tended to increase in later years. Counties with lower rates of noncancer pain conditions experienced a lower decrease in prescription opioid overdose and a faster increase in heroin overdoses. No differences were observed across different county levels of poverty and unemployment. CONCLUSIONS:Areas with lower levels of noncancer pain conditions experienced the smallest decrease in prescription opioid overdose and the faster increase in heroin overdose following implementation of online prescription drug monitoring programs. Our results are consistent with the hypothesis that prescription drug monitoring programs are most effective in areas where people are likely to access opioids through medical providers.

This exploratory analysis investigates relationships of place characteristics to HIV testing among people who inject drugs (PWID). We used CDC's 2012 National HIV Behavioral Surveillance (NHBS) data among PWID from 19 US metropolitan statistical areas (MSAs); we restricted the analytic sample to PWID self-reporting being HIV negative (N = 7477). Administrative data were analyzed to describe the 1. Sociodemographic Composition; 2. Economic disadvantage; 3. Healthcare Service/Law enforcement; and 4. HIV burden of the ZIP codes, counties, and MSAs where PWID lived. Multilevel models tested associations of place characteristics with HIV testing. Fifty-eight percent of PWID reported past-year testing. MSA-level per capita correctional expenditures were positively associated with recent HIV testing among black PWID, but not white PWID. Higher MSA-level household income and imbalanced sex ratios (more women than men) in the MSA were associated with higher odds of testing. HIV screening for PWID is suboptimal (58%) and needs improvement. Identifying place characteristics associated with testing among PWID can strengthen service allocation and interventions in areas of need to increase access to HIV testing.

Increasing alcohol outlet density is well-documented to be associated with increased alcohol use and problems, leading to the policy recommendation that limiting outlet density will decrease alcohol problems. Yet few studies of decreasing problematic outlets and outlet density have been conducted. We estimated the association between closing alcohol outlets and alcohol use and alcohol-related violence, using an agent-based model of the adult population in New York City. The model was calibrated according to the empirical distribution of the parameters across the city's population, including the density of on- and off-premise alcohol outlets. Interventions capped the alcohol outlet distribution at the 90th up to the 50th percentiles of the New York City density, and closed 5% to the 25% of outlets with the highest levels of violence. Capping density led to a lower population of light drinkers (42.2% at baseline vs. 38.1% at the 50th percentile), while heavy drinking increased slightly (12.0% at baseline vs. 12.5% at the 50th percentile). Alcohol-related homicides and non-fatal violence remained unchanged. Closing violent outlets was not associated with changes in alcohol use or related problems. Results suggest that focusing solely on closing alcohol outlets may not be an effective strategy to reduce alcohol-related problems.

BACKGROUND AND AIMS/OBJECTIVE:Prescription drug monitoring programs (PDMP), defined as state-level databases used in the USA that collect prescribing information when controlled substances are dispensed, have varied substantially between states and over time. Little is known about the combinations of PDMP features that, collectively, may produce the greatest impact on prescribing and overdose. We aimed to (1) identify the types of PDMP models that have developed from 1999 to 2016, (2) estimate whether states have transitioned across PDMP models over time, and (3) examine whether states have adopted different types of PDMP models in response to the burden of opioid overdose. METHODS:A latent transition analysis of PDMP models based on an adaptation of nine PDMP characteristics classified by prescription opioid policy experts as potentially important determinants of prescribing practices and prescription opioid overdose events. RESULTS:We divided the time period into three intervals (1999-2004, 2005-2009, 2010-2016), and found three distinct PDMP classes in each interval. The classes in the first and second interval can be characterized as "No/Weak", "Proactive", and "Reactive" types of PDMPs, and in the third interval as "Weak", "Cooperative", and "Proactive". The meaning of these classes changed over time: until 2009, states in the "No/Weak" class had no active PDMP, whereas states in the "Proactive" class were more likely to proactively provide unsolicited information to PDMP users, provide open access to law enforcement, and require more frequent data reporting than states in the "Reactive" class. In 2010-2016, the "Weak" class resembled the "Reactive" class in previous intervals. States in the "Cooperative" class in 2010-2016 were less likely than states in the "Proactive" class proactively to provide unsolicited reports, or to provide open access to law enforcement; however, they were more likely than those in the "Proactive" class to share PDMP data with other states, and to report more federal drug schedules. CONCLUSIONS:Since 1999, US states have tended to transition to more robust classes of prescription drug monitoring programs (PDMPs). Opioid overdose deaths in prior years predicted the state's PDMP class but did not predict transitions between PDMP classes over time.

"10:10 a.m., September 11, 2001" -- "Becoming an 'Other'" -- "Remember" -- "Little things"