The Detection of Opioid Misuse and Heroin Use From Paramedic Response Documentation: Machine Learning for Improved Surveillance.

Journal: Journal of medical Internet research
PMID: 31899451

Abstract

BACKGROUND: Timely, precise, and localized surveillance of nonfatal events is needed to improve response and prevention of opioid-related problems in an evolving opioid crisis in the United States. Records of naloxone administration found in prehospital emergency medical services (EMS) data have helped estimate opioid overdose incidence, including nonhospital, field-treated cases. However, as naloxone is often used by EMS personnel in unconsciousness of unknown cause, attributing naloxone administration to opioid misuse and heroin use (OM) may misclassify events. Better methods are needed to identify OM.

Authors

  • José Tomás Prieto
    Division of Scientific Education and Professional Development, Centers for Disease Control and Prevention, Atlanta, GA, United States.
  • Kenneth Scott
    Denver Public Health, Denver Health and Hospital Authority, Denver, CO, United States.
  • Dean McEwen
    Denver Public Health, Denver Health and Hospital Authority, Denver, CO, United States.
  • Laura J Podewils
    Denver Public Health, Denver Health and Hospital Authority, Denver, CO, United States.
  • Alia Al-Tayyib
    Denver Public Health, Denver Health and Hospital Authority, Denver, CO, United States.
  • James Robinson
    Denver Health Paramedics, Denver Health and Hospital Authority, Denver, CO, United States.
  • David Edwards
    School of Biological Sciences, University of Western Australia, Australia.
  • Seth Foldy
    Denver Public Health, Denver Health and Hospital Authority, Denver, CO, United States.
  • Judith C Shlay
    Denver Public Health, Denver Health and Hospital Authority, Denver, CO, United States.
  • Arthur J Davidson
    Denver Public Health, Denver Health and Hospital Authority, Denver, CO, United States.

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