Using Timely Overdose Data to Address a Spike in Nonfatal Overdoses and Inform a Coordinated Community-Level Response in Rhode Island, 2019

利用及时的过量用药数据应对罗德岛州非致命性过量用药激增问题,并为协调一致的社区层面应对措施提供信息,2019年

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Abstract

The Rhode Island Department of Health (RIDOH) uses emergency department data to monitor nonfatal opioid overdoses in Rhode Island. In April 2019, RIDOH detected an increase in nonfatal opioid overdoses in Woonsocket, Rhode Island, and sent an alert to state and local partners (eg, fire departments, emergency departments, faith leaders) with guidance on how to respond. To guide community-level, strategic response efforts, RIDOH analyzed surveillance data to identify overdose patterns, populations, and geographic areas most affected. During April-June 2019, nonfatal opioid overdoses in Woonsocket increased 463% (from 13 to 73) when compared with the previous 3 months. Because of the sustained increase in nonfatal opioid overdoses, RIDOH brought together community partners at a meeting in June 2019 to discuss RIDOH opioid overdose data and coordinate next steps. Data analyses were essential to framing the discussion and allowed community partners at the event to identify an unexpected increase in cocaine-involved nonfatal opioid overdoses in Woonsocket. Many patients with cocaine-involved nonfatal overdoses also had fentanyl in their system, and input from community partners suggested that many patients were unaware of using fentanyl. Community response actions included targeting harm reduction services (eg, distribution of naloxone, mobile needle exchange); deploying peer recovery support specialists to overdose hotspots to connect people to treatment and recovery resources; placing harm reduction messaging in high-traffic areas; and targeted social media messaging. After the meeting, nonfatal opioid overdoses returned to pre-outbreak levels. This case study provides an example of how timely opioid overdose data can be effectively used to detect a spike in nonfatal opioid overdoses and inform a strategic, community-level response.

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