Evidence map›Paper›PMID 35538566›Full record

ArticleBMC public health2022

Beliefs and misperceptions about naloxone and overdose among U.S. laypersons: a cross-sectional study.

Jon Agley, Yunyu Xiao, Lori Eldridge, Beth Meyerson, Lilian Golzarri-Arroyo

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Jon AgleyPrevention Insights, Department of Applied Health Science, School of Public Health Bloomington, Indiana University Bloomington, 809 E. 9th St., Bloomington, IN, 47405, USA. jagley@indiana.edu.
Yunyu XiaoDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Lori EldridgeCollege of Health and Human Performance, East Carolina University, Greenville, NC, USA.
Beth MeyersonSouthwest Institute for Research On Women, College of Social & Behavioral Sciences, University of Arizona, Tucson, AZ, USA.
Lilian Golzarri-ArroyoBiostatistics Consulting Center, School of Public Health Bloomington, Indiana University Bloomington, Bloomington, IN, USA.
Indiana University Bloomington · USCornell University · USEast Carolina University · USSouthwest Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOverdose education and naloxone distribution (OEND) to laypersons are key approaches to reduce the incidence of opioid-involved overdoses. While some research has examined attitudes toward OEND, especially among pharmacists and first responders, our understanding of what laypersons believe about overdose and naloxone is surprisingly limited. Further, some scholars have expressed concerns about the prevalence of non-evidence-based beliefs about overdose and naloxone. We designed this study to analyze the prevalence, nature, and context of beliefs about naloxone and overdose among U.S. laypersons.

methodsWe conducted a cross-sectional study (n = 702) using Prolific.co (representative of the U.S. population by age, gender, and race). Primary outcomes were the believability of six statements about overdose/naloxone on a seven-point Likert-type scale. Five statements were unsupported, and one was supported, by current scientific evidence. We used latent profile analysis to classify participants into belief groups, then used regression to study correlates of profile classification.

resultsBelievability of the statements (7: extremely believable) ranged from m = 5.57 (SD = 1.38) for a scientifically supported idea (trained bystanders can reverse overdose with naloxone), to m = 3.33 (SD = 1.83) for a statement claiming opioid users can get high on naloxone. Participants were classified into three latent belief profiles: Profile 1 (most aligned with current evidence; n = 246), Profile 2 (moderately aligned; n = 351), and Profile 3 (least aligned, n = 105). Compared to Profile 1, several covariates were associated with categorization into Profiles 2 and 3, including lower trust in science (RRR = 0.36, 95%CI = 0.24-0.54; RRR = 0.21, 95%CI = 0.12-0.36, respectively), conservative political orientation (RRR = 1.41, 95%CI = 1.23-1.63; 3:RRR = 1.62, 95%CI = 1.35-1.95, respectively), and never being trained about naloxone (Profile 3: RRR = 3.37, 95%CI = 1.16-9.77).

conclusionsPreliminary evidence suggests some U.S. laypersons simultaneously believe that bystander overdose prevention with naloxone can prevent overdose and one or more scientifically unsupported claims about naloxone/overdose. Categorization into clusters displaying such belief patterns was associated with low trust in science, conservative political orientation, and not having been trained about naloxone. PREREGISTRATION: This cross-sectional study was preregistered prior to any data collection using the Open Science Framework: https://osf.io/c6ufv.

Indexed as

Drug OverdoseEmergency RespondersOpioid-Related DisordersAnalgesics, OpioidCross-Sectional StudiesHumansNaloxoneNarcotic AntagonistsAnalgesics, OpioidNaloxoneNarcotic AntagonistsMisinformationNaloxoneOpioid epidemicOpioidsOverdoseTrust in science

Identifiers

PMID35538566
PMCPMC9086153
OpenAlexW4229455157

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.