Evidence map›Paper›PMID 37404271›Full record

ArticleFrontiers in public health2023

Reducing opioid related deaths for individuals who are at high risk of death from overdose: a co-production study with people housed within prison and hostel accommodation during Covid-19.

Anne Campbell, Sharon Millen, Li Guo, Uisce Jordan, Amanda Taylor-Beswick, Chris Rintoul, Aisling Diamond

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. 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
0.4field-weighted citation impact, top 37% 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, 2 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

7 authors at 6 institutions in 1 country.

Anne CampbellSSESW, Queens University Belfast, Belfast, United Kingdom.
Sharon MillenSSESW, Queens University Belfast, Belfast, United Kingdom.
Li GuoManchester Metropolitan University, Manchester, United Kingdom.
Uisce JordanFaculty of Health, Social Care and Medicine, Edge Hill University, Ormskirk, United Kingdom.
Amanda Taylor-BeswickUniversity of Cumbria, Lancaster, United Kingdom.
Chris RintoulCranstoun, St. Andrew's House, Surbiton, United Kingdom.
Aisling DiamondSouthern Health and Social Care Trust, Craigavon, United Kingdom.
Queen's University Belfast · GBEdge Hill University · GBManchester Metropolitan University · GBSouthern Health and Social Care Trust · GBSt Andrew's Healthcare · GBUniversity of Cumbria · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A record number of Opioid-related deaths occurred in Northern Ireland in 2021 and it is acknowledged that the Covid-19 pandemic compounded drugs related deaths crisis. This co-production study set out to refine the design of a wearable device for Opioid users to detect and subsequently prevent a potential overdose situation. Method: Purposive sampling was used to recruit people who had substance use disorders and were living in a hostel and prison during the Covid-19 pandemic. Principles of co-production influenced the study, which encompassed a focus group phase and a wearable phase. The initial phase included three focus groups with participants who inject Opioids and one focus group with workers from a street injector support service. During the wearable phase, the participant group tested the feasibility of the wearable technology in a controlled environment. This included testing the transferability of data from the device to a backend server on the cloud. Results: All focus group participants expressed an interest in the wearable technology when it was presented to them and agreed, that in principle, such a device would be extremely beneficial to help reduce the risk of overdose within the active drug using community. Participants outlined factors which would help or hinder the design of this proposed device and their decision to wear it, if it were readily available to them. Findings from wearable phase indicated that it was feasible to use a wearable device for monitoring Opioid users' biomarkers remotely. The provision of information regarding the specific functionality of the device was considered key and could be disseminated via front line services. The data acquisition and transfer process would not be a barrier for future research. Conclusion: Understanding the benefit and disadvantages of technologies such as a wearable device to prevent Opioid-related deaths will be critical for mitigating the risk of overdose for people who use Heroin. It was also clear that this would be particularly relevant during Covid-19 lock-down periods, when the effects of the pandemic further exacerbated the isolation and solitude experienced by people who use Heroin.

Indexed as

COVID-19Drug OverdoseSubstance-Related DisordersAnalgesics, OpioidCommunicable Disease ControlHeroinHumansPandemicsPrisonsAnalgesics, OpioidHeroinco-productioninjecting drug useOpioidoverdosewearable device

Identifiers

PMID37404271
PMCPMC10316785
OpenAlexW4380680854

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.