Evidence map›Paper›PMID 34781097›Full record

ArticleDrug and alcohol dependence2021

Wearable biosensors have the potential to monitor physiological changes associated with opioid overdose among people who use drugs: A proof-of-concept study in a real-world setting.

Alexis M Roth, Nguyen K Tran, Ben Cocchiaro, Allison K Mitchell, David G Schwartz, Devon J Hensel, Janna Ataiants, Jacob Brenner, Inbal Yahav, Stephen E Lankenau

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  12. Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2024
    Article
  13. Opioid Overdose Detection in a Murine Model Using a Custom-Designed Photoplethysmography Device.Ingenierie et recherche biomedicale : IRBM = Biomedical engineering and research · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Overdose Alert and Response Technologies: State-of-the-art Review.Journal of medical Internet research · 2023
    Review
  18. Overdose Detection Technologies to Reduce Solitary Overdose Deaths: A Literature Review.International journal of environmental research and public health · 2023
    Review
  19. 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

10 authors.

Alexis M RothDepartment of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA. Electronic address: amr395@drexel.edu.
Nguyen K TranDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Ben CocchiaroCenter for Public Health Initiatives, University of Pennsylvania, Philadelphia, PA, USA.
Allison K MitchellDepartment of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
David G SchwartzInformation Systems Division, Graduate School of Business, Bar-Ilan University, Ramat-Gan, Israel.
Devon J HenselSection of Adolescent Medicine, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana; Department of Sociology, Indiana University Purdue University Indianapolis, Indianapolis, Indiana; Center for Sexual Health Promotion, Indiana University, Bloomington, Indiana.
Janna AtaiantsDepartment of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Jacob BrennerPulmonary, Allergy, & Critical Care Division, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Systems Pharmacology and Translational Therapeutics and Center for Translational Targeted Therapeutics and Nanomedicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Inbal YahavColler School of Management, Tel-Aviv University, Tel-Aviv, Israel.
Stephen E LankenauDepartment of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.

Funding

Medical Marijuana, Emerging Adults & Community: Connecting Health and PolicyR01DA034067 · NIDA · DREXEL UNIVERSITY · PI Stephen E Lankenau, Carolyn Fong Nap Wong · 2013 to 2026
$9.8M
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 R01 DA034067NIDA NIH HHS R34 DA044758
6 · The paper itself

Abstract

introductionWearable biosensors have the potential to monitor physiological change associated with opioid overdose among people who use drugs.

methodsWe enrolled 16 individuals who reported ≥ 4 daily opioid use events within the previous 30 day. Each was assigned a wearable biosensor that measured respiratory rate (RR) and actigraphy every 15 s for 5 days and also completed a daily interview assessing drug use. We describe the volume of RR data collected, how it varied by participant characteristics and drug use over time using repeated measures one-way ANOVA, episodes of acute respiratory depression (≤5 breaths/minute), and self-reported overdose experiences.

resultsWe captured 1626.4 h of RR data, an average of 21.7 daily hours/participant over follow-up. Individuals with longer injection careers and those engaging in polydrug use captured significantly fewer total hours of respiratory data over follow-up compared to those with shorter injections careers (94.7 vs. 119.9 h, p = 0.04) and injecting fentanyl exclusively (98.7 vs. 119.5 h, p = 0.008), respectively. There were 385 drug use events reported over follow-up. There were no episodes of acute respiratory depression which corresponded with participant reports of overdose experiences. DISCUSSION: Our preliminary findings suggest that using a wearable biosensor to monitor physiological changes associated with opioid use was feasible. However, more sensitive biosensors that facilitate triangulation of multiple physiological data points and larger studies of longer duration are needed.

Indexed as

Biosensing TechniquesDrug OverdoseOpiate OverdosePharmaceutical PreparationsWearable Electronic DevicesAnalgesics, OpioidHumansAnalgesics, OpioidPharmaceutical PreparationsBiosensorPeople who use drugsWearable sensor

Identifiers

PMID34781097
PMCPMC8672322

What OpenQuestion holds

Textmetadata
LicenceTDM
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.