Evidence map›Paper›PMID 34301246›Full record

ArticleHarm reduction journal2021

Willingness to use a wearable device capable of detecting and reversing overdose among people who use opioids in Philadelphia.

Katie Kanter, Ryan Gallagher, Feyisope Eweje, Alexander Lee, David Gordon, Stephen Landy, Julia Gasior, Haideliza Soto-Calderon, Peter F Cronholm, Ben Cocchiaro and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Harm reduction journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04530591 (A Proof of Concept, Randomized, Single Center Study on Frameworks for Wearable Devices to Sense and Respond to Opioid Overdoses), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.9field-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.

NCT04530591 completednot on this map

A Proof of Concept, Randomized, Single Center Study on Frameworks for Wearable Devices to Sense and Respond to Opioid Overdoses

TypeobservationalSponsorUniversity of PennsylvaniaRan2020 to 2020Enrolled97ConditionsOpioid Overdose, Opioid-use Disorder, Substance Use DisordersArmsSurvey, Interview
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Opioid Overdose Detection in a Murine Model Using a Custom-Designed Photoplethysmography Device.Ingenierie et recherche biomedicale : IRBM = Biomedical engineering and research · 2023
    Article
  11. Article
  12. Article
  13. Overdose Alert and Response Technologies: State-of-the-art Review.Journal of medical Internet research · 2023
    Review
  14. Overdose Detection Technologies to Reduce Solitary Overdose Deaths: A Literature Review.International journal of environmental research and public health · 2023
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

14 authors at 4 institutions in 1 country.

Katie KanterPerelman School of Medicine, University of Pennsylvania, 3450 Hamilton Walk, Stemmler Building, Office #220, Philadelphia, PA, 19104, USA.
Ryan GallagherPerelman School of Medicine, University of Pennsylvania, 3450 Hamilton Walk, Stemmler Building, Office #220, Philadelphia, PA, 19104, USA.
Feyisope EwejePerelman School of Medicine, University of Pennsylvania, 3450 Hamilton Walk, Stemmler Building, Office #220, Philadelphia, PA, 19104, USA.
Alexander LeePerelman School of Medicine, University of Pennsylvania, 3450 Hamilton Walk, Stemmler Building, Office #220, Philadelphia, PA, 19104, USA.
David GordonBallinger, 833 Chestnut Street, Suite 1400, Philadelphia, PA, 19107, USA.
Stephen LandyPerelman School of Medicine, University of Pennsylvania, 3450 Hamilton Walk, Stemmler Building, Office #220, Philadelphia, PA, 19104, USA.
Julia GasiorPerelman School of Medicine, University of Pennsylvania, 3450 Hamilton Walk, Stemmler Building, Office #220, Philadelphia, PA, 19104, USA.
Haideliza Soto-CalderonPenn Department of Medicine Clinical Trials Unit, Anatomy-Chemistry Building, 1st Floor, Philadelphia, PA, 19104, USA.
Peter F CronholmDepartment of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Ben CocchiaroPrevention Point Philadelphia, 2913-15 Kensington Ave, Philadelphia, PA, 19134, USA.
James WeimerDepartment of Computer and Information Science, University of Pennsylvania, Levine Hall, 3330 Walnut St, Philadelphia, PA, USA.
Alexis RothDornsife School of Public Health, Drexel University, Nesbitt Hall, 3215 Market St, Philadelphia, PA, 19104, USA.
Stephen LankenauDornsife School of Public Health, Drexel University, Nesbitt Hall, 3215 Market St, Philadelphia, PA, 19104, USA.
Jacob BrennerPerelman School of Medicine, University of Pennsylvania, 3450 Hamilton Walk, Stemmler Building, Office #220, Philadelphia, PA, 19104, USA. jacob.brenner@pennmedicine.upenn.edu.ORCID 0000-0001-8437-0161
University of Pennsylvania · USDrexel University · USCenter Point · USCommunity Initiatives · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of opioid-related overdose deaths has been rising for 30 years and has been further exacerbated amidst the COVID-19 pandemic. Naloxone can reverse opioid overdose, lower death rates, and enable a transition to medication for opioid use disorder. Though current formulations for community use of naloxone have been shown to be safe and effective public health interventions, they rely on bystander presence. We sought to understand the preferences and minimum necessary conditions for wearing a device capable of sensing and reversing opioid overdose among people who regularly use opioids.

methodsWe conducted a combined cross-sectional survey and semi-structured interview at a respite center, shelter, and syringe exchange drop-in program in Philadelphia, Pennsylvania, USA, during the COVID-19 pandemic in August and September 2020. The primary aim was to explore the proportion of participants who would use a wearable device to detect and reverse overdose. Preferences regarding designs and functionalities were collected via a questionnaire with items having Likert-based response options and a semi-structured interview intended to elicit feedback on prototype designs. Independent variables included demographics, opioid use habits, and previous experience with overdose.

resultsA total of 97 adults with an opioid use history of at least 3 months were interviewed. A majority of survey participants (76%) reported a willingness to use a device capable of detecting an overdose and automatically administering a reversal agent upon initial survey. When reflecting on the prototype, most respondents (75.5%) reported that they would wear the device always or most of the time. Respondents indicated discreetness and comfort as important factors that increased their chance of uptake. Respondents suggested that people experiencing homelessness and those with low tolerance for opioids would be in greatest need of the device.

conclusionsThe majority of people sampled with a history of opioid use in an urban setting were interested in having access to a device capable of detecting and reversing an opioid overdose. Participants emphasized privacy and comfort as the most important factors influencing their willingness to use such a device.

trial registrationNCT04530591.

Indexed as

AdolescentAdultChildCross-Sectional StudiesFemaleHumansInterviews as TopicMaleNaloxoneNarcotic AntagonistsOpiate OverdosePatient Acceptance of Health CarePhiladelphiaWearable Electronic DevicesYoung AdultNaloxoneNarcotic AntagonistsMedical deviceNaloxoneOpioid use disorderOverdose detectionOverdose reversalSubstance use disorderWearable device

Identifiers

PMID34301246
PMCPMC8299455
OpenAlexW3124928612

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.