Faculty Bibliography

AIMS/OBJECTIVE:Amid changing marijuana policies in the Southern Cone, we examined relationships between marijuana-related risk factors and marijuana use among adolescents in Argentina, Chile, and Uruguay from 2001 to 2016. METHODS:graders and weighted time-varying effect models, we estimated associations between perceived risk (no/low risk versus moderate/great risk) and perceived availability (easy/very easy versus difficult/very difficult/not able to obtain) of marijuana, and any past-month marijuana use. RESULTS:In all countries, marijuana use increased over time and adolescents who perceived no/low risk and easy availability had higher odds of use. In Argentina, the bivariate risk/use association weakened from 2001 (OR = 15.24, 95%CI = 9.63, 24.12) to 2004 [OR = 3.86 (2.72, 5.48)] and strengthened until 2011 [OR = 8.22 (7.56, 10.30)]; the availability/use association strengthened from 2005 [OR = 5.32 (4.05, 6.98)] to 2009 [OR = 20.77 (15.57, 27.70)] and weakened until 2014 [OR = 11.00 (9.11, 13.27)]. In Chile, the risk/use association weakened from 2001 [OR = 7.22 (6.57, 7.95)] to 2015 [OR = 5.58 (4.82, 6.48)]; the availability/use association weakened from 2001 [OR = 5.92 (4.96, 7.06)] to 2015 [OR = 4.10 (3.15, 5.34)]. In Uruguay, the risk/use association weakened from 2003 [OR = 34.22 (22.76, 51.46)] to 2016 [OR = 6.23 (4.96, 7.83)]; the availability/use association weakened from 2005 [OR = 29.13 (13.39, 63.39) to 2007 [OR = 9.42 (3.85, 23.07)], and strengthened until 2016 [OR = 22.68 (12.03, 42.76)]. CONCLUSIONS:Overall, the association between risk and use weakened in all countries, suggesting risk perceptions became a weaker determinant of marijuana use. Perceived availability remained strongly associated with use and may become an increasingly important driver of use (particularly in Uruguay and Argentina).

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: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.

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.

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/UNASSIGNED:Comprehensive background check (CBC) laws extend background check requirements to private party firearm transfers to prevent firearm acquisitions by prohibited persons. The aim of our study was to estimate the association between CBC policies and changes in background check rates for firearm acquisition in two states (Oregon and Washington) that have newly-enacted CBC policies. Methods/UNASSIGNED:We used data on handgun background checks from January 1999 to December 2018 from the National Instant Criminal Background Check System. Observed trends in exposed states were contrasted with counterfactual trends estimated with the synthetic control group method. Findings/UNASSIGNED: = 0.321). A gradual increase in private party checks was seen following enactment in Washington; however, firearm transactions coded as "private" represent less than 5% of total background checks in that state. Conclusions/UNASSIGNED:Comprehensive background check policies appear to be effective in increasing pre-firearm-sale background checks in Oregon but not in Washington. Differences appear to be related to variations in the proportion of firearm sales that are private party transfers and to gradual adaptation to the new law by private gun sellers.

BACKGROUND:Comprehensive background check (CBC) policies are hypothesised to reduce firearm-related violence because they extend background checks to private party firearm sales, but no study has determined whether these policies actually increase background checks, an expected intermediary outcome. We evaluate the association between CBC policies and the rates of firearm background checks in three states that recently implemented these policies: Delaware (July 2013), Colorado (July 2013) and Washington (December 2014). METHODS:We used the synthetic control group method to estimate the difference from estimated counterfactual postintervention trends in the monthly rate of background checks per 1 00 000 people for handguns, long guns and both types combined, using data for January 1999 through December 2016. Inference was based on results from permutation tests. We conducted multiple sensitivity analyses to assess the robustness of our results. RESULTS:Background check rates increased in Delaware, by 22%-34% depending on the type of firearm, following enactment of its CBC law. No overall changes were observed in Washington and Colorado. Our results were robust to changes in the comparison group and statistical methods. CONCLUSIONS:The enactment of CBC policies was associated with an overall increase in firearm background checks only in Delaware. Data external to the study suggest that Washington experienced a modest, but consistent, increase in background checks for private party sales, and Colorado experienced a similar increase in checks for sales not at gun shows. Non-compliance may explain the lack of an overall increase in background checks in Washington and Colorado.

BACKGROUND:In 2016, firearms killed 38,658 people in the United States. Federal law requires licensed gun dealers, but not private parties, to conduct background checks on prospective firearm purchasers with the goal of preventing prohibited persons from obtaining firearms. Our objective was to estimate the effect of the repeal of comprehensive background check laws - requiring a background check for all handgun sales, not just sales by licensed dealers - on firearm homicide and suicide rates in Indiana and Tennessee. METHODS:We compared age-adjusted firearm homicide and suicide rates, measured annually from 1981-2008 and 1994-2008 in Indiana and Tennessee, respectively, to rates in control groups constructed using the synthetic control method. RESULTS:The average rates of firearm homicide and suicide in Indiana and Tennessee following repeal were within the range of what could be expected given natural variation (differences = 0.7 firearm homicides and 0.5 firearm suicides per 100,000 residents in Indiana and 0.4 firearm homicides and 0.3 firearm suicides per 100,000 residents in Tennessee). Sensitivity analyses resulted in similar findings. CONCLUSION/CONCLUSIONS:We found no evidence of an association between the repeal of comprehensive background check policies and firearm homicide and suicide rates in Indiana and Tennessee. In order to understand whether comprehensive background check policies reduce firearm deaths in the United States generally, more evidence on the impact of such policies from other states is needed.

Background/UNASSIGNED:Prescription drug monitoring programs (PDMPs) are a key component of the president's Prescription Drug Abuse Prevention Plan to prevent opioid overdoses in the United States. Purpose/UNASSIGNED:To examine whether PDMP implementation is associated with changes in nonfatal and fatal overdoses; identify features of programs differentially associated with those outcomes; and investigate any potential unintended consequences of the programs. Data Sources/UNASSIGNED:Eligible publications from MEDLINE, Current Contents Connect (Clarivate Analytics), Science Citation Index (Clarivate Analytics), Social Sciences Citation Index (Clarivate Analytics), and ProQuest Dissertations indexed through 27 December 2017 and additional studies from reference lists. Study Selection/UNASSIGNED:Observational studies (published in English) from U.S. states that examined an association between PDMP implementation and nonfatal or fatal overdoses. Data Extraction/UNASSIGNED:2 investigators independently extracted data from and rated the risk of bias (ROB) of studies by using established criteria. Consensus determinations involving all investigators were used to grade strength of evidence for each intervention. Data Synthesis/UNASSIGNED:Of 2661 records, 17 articles met the inclusion criteria. These articles examined PDMP implementation only (n = 8), program features only (n = 2), PDMP implementation and program features (n = 5), PDMP implementation with mandated provider review combined with pain clinic laws (n = 1), and PDMP robustness (n = 1). Evidence from 3 studies was insufficient to draw conclusions regarding an association between PDMP implementation and nonfatal overdoses. Low-strength evidence from 10 studies suggested a reduction in fatal overdoses with PDMP implementation. Program features associated with a decrease in overdose deaths included mandatory provider review, provider authorization to access PDMP data, frequency of reports, and monitoring of nonscheduled drugs. Three of 6 studies found an increase in heroin overdoses after PDMP implementation. Limitation/UNASSIGNED:Few studies, high ROB, and heterogeneous analytic methods and outcome measurement. Conclusion/UNASSIGNED:Evidence that PDMP implementation either increases or decreases nonfatal or fatal overdoses is largely insufficient, as is evidence regarding positive associations between specific administrative features and successful programs. Some evidence showed unintended consequences. Research is needed to identify a set of "best practices" and complementary initiatives to address these consequences. Primary Funding Source/UNASSIGNED:National Institute on Drug Abuse and Bureau of Justice Assistance.

PURPOSE/OBJECTIVE:Firearm mortality is a significant problem in the United States. Previous studies have largely focused on firearm mortality at the national or state level, leaving open the question of within-state variation. This study examined firearm mortality within California. METHODS:We used Multiple Cause of Death data files to identify all firearm fatalities in California from 2000 to 2015. We described firearm mortality rates and counts over time, by age and county, stratifying by intent, gender, and race/ethnicity. County-level rates were smoothed with empirical Bayes estimates from random-effect Poisson models. RESULTS:From 2000 to 2015, there were 24,922 firearm homicides and 23,682 firearm suicides in California. Rates of firearm homicide decreased 30% and suicide rates increased 1% since the mid-2000s, but these trends varied substantially by county. Due to a decline in firearm homicides in metropolitan areas, there was no significant difference in these rates between urban and rural counties by 2015. Non-Hispanic black men had the highest rate of firearm homicide, but Hispanic men had the greatest number of deaths. CONCLUSIONS:We found considerable intrastate variation in firearm mortality in California. Our results will be of interest to researchers, policymakers, and public health practitioners. Similar epidemiologic profiles of firearm mortality are warranted for other states.