
@article{ref1,
title="Michigan system for opioid overdose surveillance",
journal="Injury prevention",
year="2021",
author="Cunningham, Rebecca M. and Schmidt, Carl and Roche, Jessica and Flannagan, Carol A.C. and Ballesteros, Amanda and Goldstick, Jason",
volume="ePub",
number="ePub",
pages="ePub-ePub",
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.<p /> <p>Language: en</p>",
language="en",
issn="1353-8047",
doi="10.1136/injuryprev-2020-043882",
url="http://dx.doi.org/10.1136/injuryprev-2020-043882"
}