ArticleJournal of medical Internet research2025
Use of a Shoulder-Mounted Wearable Sensor Prototype Designed to Detect Opioid-Related Overdose: A Qualitative User Experience Study.
Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Background: For over a decade, drug overdose has been the leading cause of injury and accidental death in the United States. Most fatal overdoses involve opioids and occur during solitary drug use events when no one is available to initiate lifesaving responses (eg, naloxone). While there is a growing interest in devices providing early overdose detection and automated responses, little research has engaged end users in a device design process. Objective: This study aimed to describe user experience, perceived harms and benefits, and the acceptability of a shoulder-mounted wearable sensor among people who inject drugs who wore a device prototype for 7 days and to explore real-time responses that could be incorporated into a next-generation sensor. Methods: Individuals aged ≥18 years reporting past week injection drug use were recruited from a walk-in substance use disorder clinic in Camden, New Jersey. Participants completed a brief survey assessing sociodemographics and recent drug use and were assigned a sensor prototype that they were asked to wear near-continuously for 7 days. At endline, they completed semistructured interviews exploring acceptability, usability, and form and function preferences for next-generation devices with integrated automated response options. Structured field notes and transcripts were analyzed to identify key themes and design considerations. Results: Participants (n=23) had a median age of 41 years. Most were primarily non-Hispanic White (65%) males (61%), experiencing homelessness (57%) who reported daily injection drug use (74%) within 3 months and receipt of opioid use disorder medication within a month (74%). A total of 16 people completed an exit interview. They found the concept of a shoulder-mounted overdose detection device acceptable and unanimously endorsed the need for long-lasting discreet devices. They emphasized the importance of having multiple response options that wearers could tailor to their individual circumstances and preferences, noting some might prefer an automatic call to emergency services, while others might prefer to alert a peer. Participants expressed a preference for solutions that alert first responders over automated biomedical solutions, such as naloxone injection, because of concerns about device error (eg, false positives) leading to precipitated withdrawal. Conclusions: After wearing a shoulder-mounted prototype, this small group of participants found the idea acceptable and provided feedback to improve usability and design. Data suggest that a variety of devices with differing functions, sizes, and capacities will be needed to meet user needs and increase the likelihood of adoption once devices come to market.
Indexed as
Identifiers
What OpenQuestion holds
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.