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Effects of Online Naloxone Training for Laypersons

An Extended-Baseline Assessment

Bibliographic Data

ID21645146
AuthorsWasantha Jayawardene (0000-0002-8798-0894, School of Human Sciences, Southern Illinois University, Carbondale, Illinois, USA, corresponding author), Hye Jeong Choi (0000-0003-4957-0664, University of Missouri), Chesmi Kumbalatara (0009-0005-1813-5856, School of Human Sciences, Southern Illinois University, Carbondale, Illinois, USA), Jacob Ketuma (School of Human Sciences, Southern Illinois University, Carbondale, Illinois, USA), Justin Mcdaniel (School of Human Sciences, Southern Illinois University, Carbondale, Illinois, USA), Justin T Mcdaniel (0000-0001-8008-1645, Southern Illinois University Carbondale), Michael L Hecht (0000-0002-5747-1378, Real Prevention (United States)), Michael Hecht (0000-0001-9214-8253, Emeritus, REAL Prevention LLC, Clifton, New Jersey, USA)
Year2024
Volume59
Issue14
Pages2144-2148
Publication date2024-12-05
Open AccessNo
TypeARTICLE
VenueSubstance Use & Misuse (JOURNAL)
Journal identifiersISSN: 1082-6084 • E-ISSN: 1532-2491
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10826084.2024.2392524
PMID39171825
OpenAlexW4401750163
LanguageEN
References cited19

Background: While laypersons can play a crucial role in administering naloxone in opioid overdoses, they must be recruited and trained to effectively manage overdose events as good Samaritans. This study aimed to examine the effectiveness of a technology-based intervention that recruited and trained laypersons to administer naloxone. Methods: Opioid Rapid Response System (ORRS) was an online recruitment and training intervention which capitalized on social cognitive theory and a digital media engagement model to mobilize laypersons to administer intranasal naloxone. ORRS was developed based on a randomized waitlisted controlled trial (N = 220). This secondary analysis is a within-group, extended-baseline assessment of the waitlisted group (n = 106), considering that they served as their own control prior to receiving the training. ORRS was conducted in five counties of Indiana with adults who did not self-identify as a certified first responder. Five indices were generated from 23 variables: knowledge of overdose signs, knowledge of overdose management, self-efficacy in responding, concerns about responding, and intent to respond. Paired t-test compared changes between 3 timepoints. Results: Three indices had significantly greater increases associated with training compared to extended baseline: recognizing opioid overdose signs (difference = 0.08; 95%CI = 0.02, 0.15; t = 2.48; p = 0.01); knowledge of overdose management (difference = 0.27; 95%CI = 0.18, 0.35; t = 5.99; p < 0.01); and self-efficacy in overdose management (difference = 0.68; 95%CI = 0.45, 0.91; t = 5.78; p < 0.01). Concerns related to overdose management significantly decreased as expected (difference = −1.53; 95%CI = −1.86, −1.21; t = −9.27; p < 0.01). Conclusions: ORRS provided strong support for self-efficacy, concerns, and knowledge related to overdose management, and the digital modality accelerates largescale dissemination

Opioid · Opioid overdose · Poison control · Psychiatry · Randomized controlled trial · Cardiac Arrest and Resuscitation · Medicine · Opioid Use Disorder Treatment · Poisoning and overdose treatments · Emergency Medicine · Internal Medicine

  • Opioid-overdose laws association with opioid use and overdose mortality

    Open Access•Chandler McClellan, Barrot H Lambdin et al.•Addictive Behaviors•2018

  • Geographic Distribution of Providers With a DEA Waiver to Prescribe Buprenorphine for the Treatment of Opioid Use Disorder

    Open Access•C Holly A Andrilla, Tessa E Moore et al.•The Journal of Rural Health•2019

  • Beliefs and misperceptions about naloxone and overdose among U.S. laypersons

    Open Access•Jon Agley, Yunyu Xiao et al.•BMC Public Health•2022

  • Lessons Learned

    Open Access•Nancy S Tobler•The Journal of Primary Prevention•2000

Highly citedNo

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