Changes in opioid prescribing and prescription drug monitoring program utilization following electronic health record integration-Massachusetts, 2018.

OBJECTIVE: In this study, we explored key prescription drug monitoring program-related outcomes among clinicians from a broad cohort of Massachusetts healthcare facilities following prescription drug monitoring program (PDMP) and electronic health record (EHR) data integration. METHODS: Outcomes included seven-day rolling averages of opioids prescribed, morphine milligram equivalents (MMEs) prescribed, and PDMP queries. We employed a longitudinal study design to analyze PDMP data over a 15-month study period which allowed for six and a half months of pre- and post-integration observations surrounding a two-month integration period. We used longitudinal mixed effects models to examine the effect of EHR integration on each of the key outcomes. RESULTS: Following EHR integration, PDMP queries increased both through the web-based portal and in total (0.037, [95% CI = 0.017, 0.057] and 0.056, [95% CI = 0.035, 0.077]). Both measures of clinician opioid prescribing declined throughout the study period; however, no significant effect following EHR integration was observed. These results were consistent when our analysis was applied to a subset consisting only of continuous PDMP users. CONCLUSIONS: Our results support EHR integration contributing to PDMP utilization by clinicians but do not support changes in opioid prescribing behavior.

County-level sociodemographic differences in availability of two medications for opioid use disorder: United States, 2019.

BACKGROUND: Differences in availability of medications for opioid use disorder (MOUD) buprenorphine and methadone exist. Factors that may influence such differences in availability include sociodemographic characteristics but research in this area is limited. We explore the association between county-level sociodemographic factors and MOUD treatment availability. METHODS: County-level Drug Enforcement Administration (DEA) data were used to determine the presence or absence of buprenorphine treatment or opioid treatment programs (OTPs) and the level of availability of these types of treatment in a county. Hurdle models were used to examine the associations of our covariates with any MOUD treatment availability and level of available treatment. RESULTS: The odds of a county having OTP availability were higher for counties with higher percentages of non-Hispanic Black and Hispanic populations and higher drug overdose death rates. Counties with higher percentages of persons in poverty and drug overdose death rates had higher odds of maximum potential buprenorphine treatment capacity, while counties with high percentages of persons without health insurance, with disability, and rural counties had lower odds. CONCLUSIONS: There are significant differences in the county-level availability of OTPs and buprenorphine treatment. Our findings expand on prior studies illustrating that barriers to accessing treatment persist and are not evenly distributed among sociodemographic groups, further study is needed to examine if barriers of availability translate to barriers in receiving treatment. Given the escalating overdose crisis in the U.S., expanding equitable availability of MOUD is critical. Informed strategies are needed to reach areas and populations in greatest need.