Evidence map›Paper›PMID 32607487›Full record

ArticleJAMIA open2020

Acceptability of smartphone applications for facilitating layperson naloxone administration during opioid overdoses.

Gabriela Marcu, Roy Aizen, Alexis M Roth, Stephen Lankenau, David G Schwartz

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JAMIA open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06466005 (UnityPhilly Response App for Overdose Reversal), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 12% 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.

NCT06466005 narecruitingnot on this mapstarted 2025, after this paper: background citation

UnityPhilly Response App for Overdose Reversal: Assessing Citywide Effectiveness and Sustainability

TypeinterventionalSponsorDrexel UniversityRan2025 to 2028Enrolled450ConditionsOpioid OverdoseArmsUnityPhilly app
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Overdose Alert and Response Technologies: State-of-the-art Review.Journal of medical Internet research · 2023
    Review
  6. Overdose Detection Technologies to Reduce Solitary Overdose Deaths: A Literature Review.International journal of environmental research and public health · 2023
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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

5 authors at 3 institutions in 2 countries.

Gabriela MarcuSchool of Information, University of Michigan, 105 South State Street, Ann Arbor, MI 48109, USA.
Roy AizenDepartment of Information Science, College of Computing and Informatics, Drexel University, Philadelphia, Pennsylvania, USA.
Alexis M RothDepartment of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA.
Stephen LankenauDepartment of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA.
David G SchwartzGraduate School of Business Administration, Bar-Ilan University, Ramat-Gan, Israel.
Drexel University · USBar-Ilan University · ILUniversity of Michigan–Ann Arbor · US

Funding

Piloting a naloxone intervention in an emergency response community to reduce opioid overdoses in PhiladelphiaR34DA044758 · NIDA · DREXEL UNIVERSITY · PI LANKENAU, STEPHEN E, SCHWARTZ, DAVID GARY · 2017 to 2019
$868k
NIDA NIH HHS R34 DA044758
6 · The paper itself

Abstract

objectiveWe investigated user requirements for a smartphone application to coordinate layperson administration of naloxone during an opioid overdose. MATERIALS AND

methodsWe conducted interviews and focus groups with 19 nonmedical opioid users and other community members in the Kensington neighborhood of Philadelphia, Pennsylvania, which has one of the highest overdose rates in the country. Data were analyzed using thematic analysis.

resultsWe found high levels of trust and reliance within one's own social group, especially nonmedical opioid users and members of the neighborhood. Participants distrusted outsiders, including professional responders, whom they perceived as uncaring and prejudiced. Participants expressed some concern over malicious use of a location-based application, such as theft when a victim is unconscious, but overall felt the benefits could outweigh the risks. Participants also trusted community-based organizations providing services such as bystander training and naloxone distribution, and felt that a smartphone application should be integrated into these services. DISCUSSION: Individuals affected by opioid use and overdose reacted positively to the concept for a smartphone application, which they perceived as a useful tool that could help combat the high rate of opioid overdose fatalities in their neighborhood. A sense of unity with others who have shared their experiences could be leveraged to connect willing bystanders with victims of overdose, but risk must be mitigated for layperson responders.

conclusionBased on participant experiences with overdoses, trust-based considerations for the design of smartphone applications to facilitate layperson response will be critical for their adoption and use in real overdose situations.

Indexed as

drug overdoseopioid-related disorderssmartphonesocial psychologyuser-computer interface

Identifiers

PMID32607487
PMCPMC7309252
OpenAlexW2998952379

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.