ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2021
Michigan system for opioid overdose surveillance.
Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 21 citations in OpenAlex.
- Proposed approaches for public health surveillance: A literature review for the Canadian National HIV Surveillance Program.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2025Article
- Early detection and prediction of non-fatal drug-related incidents and fatal overdose outbreaks using the Farrington algorithm.Addiction (Abingdon, England) · 2025Article
- Using RE-AIM Framework to Evaluate Recovery Opioid Overdose Team Plus: A Peer-Led Post-overdose Quick Response Team.Community mental health journal · 2025Article
- Database quality assessment in research in paramedicine: a scoping review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023Article
- Pharmacists and opioid use disorder care during COVID-19: Call for action.Journal of the American College of Clinical Pharmacy : JACCP · 2022Article
- Increases in Naloxone Administrations by Emergency Medical Services Providers During the COVID-19 Pandemic: Retrospective Time Series Study.JMIR public health and surveillance · 2021Article
- Commentary: Reducing youth firearm violence and the associated health disparities requires enhanced surveillance and modern behavioral intervention strategies - a commentary on Bottiani et al. (2021).Journal of child psychology and psychiatry, and allied disciplines · 2021Article
- Rapid Identification of Suspected Drug Overdose Deaths by Death Investigators, New Jersey, 2020.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Community rapid response may reduce opioid overdose harms, but is hindered by the lack of timely data. To address this need, we created and evaluated the Michigan system for opioid overdose surveillance (SOS). SOS integrates suspected fatal overdose data from Medical Examiners (MEs), and suspected non-fatal overdoses (proxied by naloxone administration) from the Michigan Emergency Medical Services (EMS) into a web-based dashboard that was developed with stakeholder feedback. Authorised stakeholders can view approximate incident locations and automated spatiotemporal data summaries, while the general public can view county-level summaries. Following Centers for Disease Control and Prevention (CDC) surveillance system evaluation guidelines, we assessed simplicity, flexibility, data quality, acceptability, sensitivity, positive value positive (PVP), representativeness, timeliness and stability of SOS. Data are usually integrated into SOS 1-day postincident, and the interface is updated weekly for debugging and new feature addition, suggesting high timeliness, stability and flexibility. Regarding representativeness, SOS data cover 100% of EMS-based naloxone adminstrations in Michigan, and receives suspected fatal overdoses from MEs covering 79.1% of Michigan's population, but misses those receiving naloxone from non-EMS. PVP of the suspected fatal overdose indicator is nearly 80% across MEs. Because SOS uses pre-existing data, added burden on MEs/EMS is minimal, leading to high acceptability; there are over 300 authorised SOS stakeholders (~6 new registrations/week) as of this writing, suggesting high user acceptability. Using a collaborative, cross-sector approach we created a timely opioid overdose surveillance system that is flexible, acceptable, and is reasonably accurate and complete. Lessons learnt can aid other jurisdictions in creating analogous systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.