Literature DB >> 35051696

Acceleration of opioid-related EMS runs in the spring of 2020: The National Emergency Medical Services Information System data for 2018-2020.

Akshat Khare1, Arsh Sidana1, Ammar Mohemmed2, Denisha Markelle Allicock3, Anna Waterstone4, Matthew Aaron Zimmer5, Dora Il'yasova6.   

Abstract

BACKGROUND: State- and county-level reports suggest that the COVID-19 pandemic exacerbated the opioid crisis. We examined US national trends of nonfatal opioid overdose in 2020 in comparison to pre-COVID years 2018-2019.
METHODS: We used National Emergency Medical Services Information System (NEMSIS) data to conduct a temporal analysis from 2018 to 2020. Opioid-related EMS run was defined using five scenarios of naloxone administration. To determine annual patterns and slope inflection points, we used the Prophet model of the time series analysis. Linear slopes and their 95% confidence intervals (CIs) were calculated for pre-stay-at-home (pre-SaH) and SaH periods in 2020 and compared to the slopes during the same time in 2018-2019. Three cut-points for SaH start were considered: March 19, 24, and 29.
RESULTS: We identified 91,065, 144,802, and 242,904 opioid-related EMS runs in 2018-2020, respectively. In 2020, opioid-related runs increased in January-June, with a pronounced acceleration in March, which coincides with the stay-at-home (SaH) orders. In both 2018 and 2019, opioid-related runs increased in January-August without the spring acceleration. In 2020, weekly increases (95% CI) during SaH for all examined cut-points were significantly greater than in pre-SaH: 18.09 (16.03-20.16) vs. 6.44 (3.42-9.47) for March 19, 17.77 (15.57-19.98) vs. 4.85 (2.07-7.64) for March 24, 18.03 (15.68-20.39) vs. 4.97(2.4-7.54) for March 29. No significant difference was found between these periods in 2018-2019.
CONCLUSIONS: The acceleration of opioid-related EMS runs during the SaH period of 2020 suggests that EMS data may serve as an early warning system for local health jurisdictions to deploy harm reduction/prevention resources.
Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  COVID-19; Emergency Medical Services; Epidemiology; Naloxone; Opioid overdoses; Prophet model; Temporal trends

Mesh:

Substances:

Year:  2022        PMID: 35051696     DOI: 10.1016/j.drugalcdep.2022.109271

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  2 in total

1.  The changing epidemiology of opioid overdose in Baltimore, Maryland, 2012-2017: insights from emergency medical services.

Authors:  Chen Dun; Sean T Allen; Carl Latkin; Amy Knowlton; Brian W Weir
Journal:  Ann Med       Date:  2022-12       Impact factor: 5.348

2.  Improving Partnerships Between Public Health and Public Safety to Reduce Overdose Deaths: An Inventory From the CDC Overdose Data to Action Funding Initiative.

Authors:  Sasha Mital; April C Wisdom; Jessica G Wolff
Journal:  J Public Health Manag Pract       Date:  2022 Nov-Dec 01
  2 in total

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