Evidence map›Paper›PMID 29416443›Full record

ArticleProceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences2018

Low-energy Bluetooth for detecting real-world penetrance of bystander naloxone kits: a pilot study.

Jeffrey T Lai, Brittany P Chapman, Katherine L Boyle, Edward W Boyer, Peter R Chai

Abstract read
In one paragraph

Article in Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jeffrey T LaiUniversity of Massachusetts Medical School, jeffrey.lai@umassmemorial.org.
Brittany P ChapmanUniversity of Massachusetts Medical School, brittany.chapman@umassmed.edu.
Katherine L BoyleHarvard Medical School, klboyle@bidmc.harvard.edu.
Edward W BoyerHarvard Medical School, eboyer@bwh.harvard.edu.
Peter R ChaiHarvard Medical School, pchai@bwh.harvard.edu.

Funding

Mentoring in Advanced mHealth Technologies and Machine Learning for HIV/Drug Abuse ResearchK24DA037109 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BOYER, EDWARD W · 2014 to 2025
$1.9M
NIDA NIH HHS K24 DA037109
6 · The paper itself

Abstract

Opioid overdose is a growing public health emergency in the United States. The antidote naloxone must be administered rapidly after opioid overdose to prevent death. Bystander or "take-home" naloxone programs distribute naloxone to opioid users and other community members to increase naloxone availability at the time of overdose. However, data describing the natural history of take-home naloxone in the hands of at-risk individuals is lacking. To understand patterns of naloxone uptake in at-risk users, we developed a smart naloxone kit that uses low-energy Bluetooth (BLE) to unobtrusively detect the transit of naloxone through a hospital campus. In this paper, we describe development of the smart naloxone kit and results from the first 10 participants in our pilot study.

Identifiers

PMID29416443
PMCPMC5798450

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.