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Males N=887 73% Female s N=334 27% Total 1221 100% New Jersey Basic Life Support Emergency Medical Services Naloxone Analysis Evan Gross, Intern Dr. Terry Clancy, Preceptor New Jersey Department of Health, OEMS 72% 20% 8% Statewide Patient Responses to Naloxone Administration • Patient response 72%, n=878; (i.e., alert, oriented, confused, vomiting, combative) • No patient response (20%, n=241) • Unknown or other (8%, • To analyze the Naloxone (Narcan®) Basic Life Support (BLS) program data for New Jersey and make policy recommendations to improve pre-hospital response to opioid overdoses. Photo obtained from http://bit.ly/1eSxqf8 • Opioid abuse has increased nationally and in New Jersey over the past two decades. • Overdose Prevention Act authorized Emergency Medical Technicians (EMTs) to administer Naloxone. • Naloxone administration data in New Jersey has been collected, not analyzed thus far. Purpose • A special thank you to Dr. Terry Clancy, Internship Preceptor, Ann Marie Hill, Internship Coordinator, and the Office of Emergency Medical Services staff for their guidance. • Variables identified can be further analyzed to identify gaps in Naloxone administration, MAR reporting, and treatment strategies. • Analysis provides OEMS with target populations to enhance treatment and prevention initiatives to improve the public health response to the opioid epidemic. Evaluation Acknowledgements Significance Method/Approach 1,221 MARs remained Analyzed to evaluate trends in Naloxone administration 152 MARs removed - do not fit criteria (i.e., practice MARs, unregistered police & fire agencies, & administrations that deviated from protocol) Retrospective review of 1,373 NJ BLS Naloxone Medication Administration Reports (MARs) (April 2014-December 2015) #1 Camden #2 Ocean #3 Hudson 0 50 100 150 200 250 300 350 400 450 398 129 128 NJ counties with greatest # of administrations Apr 2014 – Dec 2015 County # of Administrations Statewide age groups with greatest # of Naloxone administrations #1: 20-29 years of age 453 (37.1% of administrations) #2: 30-39 years of age 330 (27.0% of administrations) #3: 40-49 years of age 205 (16.8% of administrations) Outcomes
