Evidence map›Paper›PMID 40277174›Full record

ArticleDrug and alcohol review2025

Defining terminology and outcome measures for evaluating overdose response technology: An international Delphi study.

William Rioux, Dylan Viste, Navid Sedaghat, Nathan Rider, Joseph Tay Wee Tek, Melissa Perri, David G Schwartz, Kim Ritchie, Giuseppe Carrà, Stephanie Carreiro and 7 more

Erratum issuedAbstract read
In one paragraph

Article in Drug and alcohol review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Policy recommendations for overdose response hotlines and applications as a harm reduction tool: A commentary.Canadian journal of public health = Revue canadienne de sante publique · 2026
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

William RiouxDepartment of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada.ORCID 0000-0003-4278-9751
Dylan VisteDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Navid SedaghatDepartment of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada.
Nathan RiderDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Joseph Tay Wee TekPopulation and Behavioural Science, School of Medicine, University of St Andrews, St Andrews, UK.
Melissa PerriDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
David G SchwartzInformation Systems Division, Graduate School of Business, Bar-Ilan University, Ramat-Gan, Israel.
Kim RitchieDepartment of Social Work, McMaster University, Hamilton, Canada.
Giuseppe CarràDepartment of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Stephanie CarreiroDepartment of Emergency Medicine, Division of Medical Toxicology, Worcester, USA.
Oona KreigBrave Technology Co-op, Vancouver, Canada.
Gabriela MarcuSchool of Information, University of Michigan, Ann Arbor, USA.
Joseph ArthurDepartment of Palliative, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer, Houston, USA.
Joanne CogdellNaxos Neighbors, South Bend, USA.
Mike BrownNever Use Alone, McMinnville, USA.
Tyler MarshallDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada.ORCID 0000-0002-7644-3639
S Monty GhoshDepartment of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada.

Funding

CIHR 181006Health Canada Substance Use and Addictions Program 2122-HQ-000021
6 · The paper itself

Abstract

introductionVarious novel harm reduction services leverage technology to reduce the rising number of drug poisoning deaths, particularly among those who use drugs alone. There is significant variability in terminology and outcome measures in reporting these interventions, complicating efforts to build a comprehensive knowledge base. Thus, we conducted a Delphi study to establish consensus and heterogeneity in these metrics.

methodsPanellists from three stakeholder groups (people who use drugs, virtual harm reduction service operators and academics) participated in a multi-round Delphi study. The first round included open-ended questions to propose items in three categories: terminology, demographic information and outcomes. Subsequent rounds included options from a previously conducted scoping review for consideration. Likert ratings were used to achieve consensus, with a 70% threshold. Final rounds involved ranking terminology that reached a consensus.

resultsOf 23 initial participants, 14 completed the fourth survey round. "Overdose response technology" was identified as the most appropriate term for these harm reduction technologies. This definition includes drug contamination alerts, overdose response hotlines and applications, wearable overdose detection technology and overdose detection tools. Fourteen demographic outcomes reached a consensus for data collection, including name or handle, neighbourhood, age, gender, past overdose experience, substance used, amount and route of use. Six service use outcomes were recommended: response type, service outcomes, morbidity and mortality, overdose events, responder arrival time and post-rescue care. DISCUSSION AND

conclusionsThe study results are recommended to standardise terminology and guide future research and knowledge dissemination in the field, ensuring clear communication with a shared language.

Indexed as

Drug OverdoseHarm ReductionOutcome Assessment, Health CareTerminology as TopicConsensusDelphi TechniqueFemaleHumansMaleEhealthmobile overdose response servicesoverdose detection technologiesvirtual harm reductionvirtual supervised consumption

Identifiers

PMID40277174
PMCPMC12228023

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.