Predictors of emergency department opioid administration and prescribing: A machine learning approach.

Journal: The American journal of emergency medicine
Published Date:

Abstract

INTRODUCTION: The opioid epidemic has altered normative clinical perceptions on addressing both acute and chronic pain, particularly within the Emergency Department (ED) setting, where providers are now confronted with balancing pain management and potential abuse. This study aims to examine patient sociodemographic and ED clinical characteristics to comprehensively determine predictors of opioid administration during an ED visit (ED-RX) and prescribing upon discharge (DC-RX).

Authors

  • Molly McCann-Pineo
    Department of Occupational Medicine, Epidemiology and Prevention, Northwell Health, 175 Community Drive, 2nd floor, Great Neck, NY 11021, USA; Department of Occupational Medicine, Epidemiology and Prevention, Northwell Health, 175 Community Drive, 2nd floor, Great Neck, NY 11021, USA; The Feinstein Institutes for Medical Research, Northwell Health, 350 Community Drive, Manhasset, NY 11030, USA; Joint Center for Disaster Health, Trauma and Resilience at Mount Sinai, Stony Brook University and Northwell Health, New York, USA. Electronic address: Mmccann1@northwell.edu.
  • Julia Ruskin
    Department of Computer Science, Princeton University, 35 Olden St, Princeton, NJ 08540, USA. Electronic address: Jruskin@princeton.edu.
  • Rehana Rasul
    Department of Occupational Medicine, Epidemiology and Prevention, Northwell Health, 175 Community Drive, 2nd floor, Great Neck, NY 11021, USA; Department of Occupational Medicine, Epidemiology and Prevention, Northwell Health, 175 Community Drive, 2nd floor, Great Neck, NY 11021, USA; The Feinstein Institutes for Medical Research, Northwell Health, 350 Community Drive, Manhasset, NY 11030, USA; Joint Center for Disaster Health, Trauma and Resilience at Mount Sinai, Stony Brook University and Northwell Health, New York, USA. Electronic address: Rrasul@northwell.edu.
  • Eugene Vortsman
    Department of Occupational Medicine, Epidemiology and Prevention, Northwell Health, 175 Community Drive, 2nd floor, Great Neck, NY 11021, USA; Department of Emergency Medicine, Long Island Jewish Medical Center, Northwell Health, 270-05 76th Ave, Queens, NY 11040, USA,. Electronic address: Evortsman1@northwell.edu.
  • Kristin Bevilacqua
    Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD 21205, USA. Electronic address: Kbevila1@jhmi.edu.
  • Samantha S Corley
    Department of Occupational Medicine, Epidemiology and Prevention, Northwell Health, 175 Community Drive, 2nd floor, Great Neck, NY 11021, USA; The Feinstein Institutes for Medical Research, Northwell Health, 350 Community Drive, Manhasset, NY 11030, USA; Joint Center for Disaster Health, Trauma and Resilience at Mount Sinai, Stony Brook University and Northwell Health, New York, USA. Electronic address: Sschneide5@northwell.edu.
  • Rebecca M Schwartz
    Department of Occupational Medicine, Epidemiology and Prevention, Northwell Health, 175 Community Drive, 2nd floor, Great Neck, NY 11021, USA; Department of Occupational Medicine, Epidemiology and Prevention, Northwell Health, 175 Community Drive, 2nd floor, Great Neck, NY 11021, USA; The Feinstein Institutes for Medical Research, Northwell Health, 350 Community Drive, Manhasset, NY 11030, USA; Joint Center for Disaster Health, Trauma and Resilience at Mount Sinai, Stony Brook University and Northwell Health, New York, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, 500 Hofstra Blvd, Hempstead, NY 11549, USA; Institute for Translational Epidemiology and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, Room 2-70A, New York, NY 10029, USA. Electronic address: Rschwartz3@northwell.edu.