Evidence map›Paper›PMID 35926299›Full record

ArticleDrug and alcohol dependence2022

A pilot study of a mixed-method approach to design an ED-based peer mHealth referral tool for HIV/HCV and opioid overdose prevention services.

Ross J Knaub, Julie Evans, Cui Yang, Raúl Roura, Tanner McGinn, Benjamin Verschoore, Erin P Ricketts, Richard E Rothman, Carl A Latkin, Yu-Hsiang Hsieh

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

10 authors at 2 institutions in 1 country.

Ross J KnaubDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Julie EvansDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Cui YangDepartment of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Raúl RouraDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Tanner McGinnDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Benjamin VerschooreDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Erin P RickettsDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Richard E RothmanDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Carl A LatkinDepartment of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Yu-Hsiang HsiehDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: yhsieh1@jhmi.edu.
Johns Hopkins Medicine · USJohns Hopkins University · US

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Anna Palmer Durbin · 2012 to 2026
$67.0M
NIAID NIH HHS P30 AI094189
6 · The paper itself

Abstract

backgroundThe intersecting epidemics of opioid misuse, injection drug use, and HIV/HCV have resulted in record overdose deaths and sustained high levels of HIV/HCV transmissions. Literature on social networks suggests opportunities to connect people who use drugs (PWUD) and their peers to HIV/HCV and opioid overdose prevention services. However, little evidence exists on how to design such peer referral interventions in emergency department (ED) settings.

methodsA mixed-method study was conducted to assess the feasibility of an mHealth-facilitated 'patient to peer social network referral program' for PWUD. In-depth interviews (IDIs) and quantitative surveys were conducted with urban ED patients (n = 15), along with 3 focus group discussions (FGDs) (n = 19).

resultsOverall, 34 participants were enrolled (71 % males, 53 % Black). 13/15 IDI participants reported a history of opioid overdose; all had witnessed overdose events; all received HIV/HCV testing. From survey responses, most would invite their peers for HIV/HCV testing and naloxone training; and anticipated peers to accept referrals (HIV: 60 %, HCV: 73 %, naloxone: 93 %). Qualitative data showed PWUD shared health-related information with each other but preferred word of mouth rather than text messages. Participants used smartphones regularly and suggested using Internet advertising for prevention services. Participants expressed enthusiasm for ED-based peer mHealth referral platform to prevention services, as well as referring their peers to proposed services, with monetary incentives.

conclusionED-based peer referral intervention to HIV/HCV testing and naloxone training was viewed favorably by PWUD. Frequent smartphone use among PWUD suggests that the medium could be a promising mode for peer referral.

Indexed as

Drug OverdoseHepatitis CHIV InfectionsOpiate OverdoseOpioid-Related DisordersTelemedicineEmergency Service, HospitalFemaleHumansMaleNaloxoneNarcotic AntagonistsPilot ProjectsReferral and ConsultationNaloxoneNarcotic AntagonistsEmergency departmentHCVHIVMHealthMixed-method studyOpioid overdosePatient-to-peer referralPrevention services

Identifiers

PMID35926299
PMCPMC9620482
OpenAlexW4286751282

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.