Faculty Bibliography

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"

Despite the high incidence of HIV among young Black MSM in the United States and engagement in high risk behaviors, many men in this group avoid infection. This suggests that some men may engage in systematic risk reduction behaviors when not always using condoms or abstaining from substances. Using a "positive deviance" framework, we conducted qualitative interviews with HIV-negative, Black MSM between 25 and 35 who reported unprotected anal sex and drug use in the past six months or current heavy drinking (N = 29) to discover behaviors that could facilitate remaining HIV-uninfected. Findings showed that MSM who remain HIV negative despite continuing to engage in high-risk behaviors may be engaging in adaptive risk reduction behaviors that, through successive decisions and advance planning along the timeline to a sexual event, could lead to increased condom use, avoidance or delay of a risky sexual event, or reduction of HIV positive partners.

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.

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.