2 Communities seek effective responses to prevent opioid death. 1 At this time, more people die of overdose every year than died of AIDS at the peak of the HIV epidemic. The United States is facing a crisis of opioid-related overdose. These findings could provide a framework for developing community-level interventions to reduce opioid overdose death. In all feasible settings and scenarios, attaining a 40% reduction in overdose mortality required that in every month, at least 10% of the population with OUD who were not currently receiving treatment initiate an MOUD.Ĭonclusions and Relevance In this modeling study, only communities with increased capacity for treating with MOUD and increased MOUD retention experienced a 40% decrease in overdose mortality. Achieving a 40% reduction required that 10% to 15% of the estimated OUD population not already receiving MOUD initiate MOUD every month, with 45% to 60%% retention for at least 6 months, and increased naloxone distribution. Reaching this goal required use of MOUD and naloxone. Results No single intervention was associated with a 40% reduction in overdose mortality in the simulated communities. Main Outcomes and Measures Reduction in overdose mortality, medication treatment capacity needs, and naloxone needs. Data were analyzed from July to November 2020. The 3 examined interventions were initiation of more people to MOUD, increasing individuals’ retention with MOUD, and increasing distribution of naloxone. Simulation modeling was used to determine the associations of community-level interventions with opioid overdose rates. Each intervention scenario was compared with the counterfactual of no intervention in simulated urban and rural communities in Massachusetts. Objective To identify specific combinations of 3 interventions (initiating more people to medications for opioid use disorder, increasing 6-month retention with MOUD, and increasing naloxone distribution) associated with at least a 40% reduction in opioid overdose in simulated populations.ĭesign, Setting, and Participants This decision analytical model used a dynamic population-level state-transition model to project outcomes over a 2-year horizon. In response, the US Department of Health and Human Services has defined a goal to reduce overdose mortality by 40% by 2022. Importance The United States is experiencing a crisis of opioid overdose.

Shared Decision Making and Communication.Scientific Discovery and the Future of Medicine.Health Care Economics, Insurance, Payment.Clinical Implications of Basic Neuroscience.Challenges in Clinical Electrocardiography.

Post intervention deaths