Evidence map›Paper›PMID 34586078›Full record

ArticleJMIR formative research2021

Pilot Evaluations of Two Bluetooth Contact Tracing Approaches on a University Campus: Mixed Methods Study.

Tyler Shelby, Tyler Caruthers, Oren Y Kanner, Rebecca Schneider, Dana Lipnickas, Lauretta E Grau, Rajit Manohar, Linda Niccolai

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.4field-weighted citation impact, top 7% 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.

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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. The utility of bluetooth and smartphone technology to detect peer contact.Experimental and clinical psychopharmacology · 2026
    Article
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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

8 authors at 1 institution in 1 country.

Tyler ShelbyEpidemiology of Microbial Diseases Department, Yale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0003-0581-4399
Tyler CaruthersEpidemiology of Microbial Diseases Department, Yale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0001-7425-188X
Oren Y KannerInformation and Technology Services, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0003-0273-5900
Rebecca SchneiderInformation and Technology Services, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0002-3489-6517
Dana LipnickasInformation and Technology Services, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0001-5125-5562
Lauretta E GrauEpidemiology of Microbial Diseases Department, Yale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0003-4985-8019
Rajit ManoharYale School of Engineering and Applied Science, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0001-8211-6602
Linda NiccolaiEpidemiology of Microbial Diseases Department, Yale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0003-2969-3157
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundMany have proposed the use of Bluetooth technology to help scale up contact tracing for COVID-19. However, much remains unknown about the accuracy of this technology in real-world settings, the attitudes of potential users, and the differences between delivery formats (mobile app vs carriable or wearable devices).

objectiveWe pilot tested 2 separate Bluetooth contact tracing technologies on a university campus to evaluate their sensitivity and specificity, and to learn from the experiences of the participants.

methodsWe used a convergent mixed methods study design, and participants included graduate students and researchers working on a university campus during June and July 2020. We conducted separate 2-week pilot studies for each Bluetooth technology. The first was for a mobile phone app ("app pilot"), and the second was for a small electronic "tag" ("tag pilot"). Participants validated a list of Bluetooth-identified contacts daily and reported additional close contacts not identified by Bluetooth. We used these data to estimate sensitivity and specificity. Participants completed a postparticipation survey regarding appropriateness, usability, acceptability, and adherence, and provided additional feedback via free text. We used tests of proportions to evaluate differences in survey responses between participants from each pilot, paired t tests to measure differences between compatible survey questions, and qualitative analysis to evaluate the survey's free-text responses.

resultsAmong 25 participants in the app pilot, 53 contact interactions were identified by Bluetooth and an additional 61 by self-report. Among 17 participants in the tag pilot, 171 contact interactions were identified by Bluetooth and an additional 4 by self-report. The tag had significantly higher sensitivity compared with the app (46/49, 94% vs 35/61, 57%; P<.001), as well as higher specificity (120/126, 95% vs 123/141, 87%; P=.02). Most participants felt that Bluetooth contact tracing was appropriate on campus (26/32, 81%), while significantly fewer participants felt that using other technologies, such as GPS or Wi-Fi, was appropriate (17/31, 55%; P=.02). Most participants preferred technology developed and managed by the university rather than a third party (27/32, 84%) and preferred not to have tracing apps on their personal phones (21/32, 66%), due to "concerns with privacy." There were no significant differences in self-reported adherence rates across pilots.

conclusionsConvenient and carriable Bluetooth technology may improve tracing efficiency while alleviating privacy concerns by shifting data collection away from personal devices. With accuracy comparable to, and in this case, superior to, mobile phone apps, such approaches may be suitable for workplace or school settings with the ability to purchase and maintain physical devices.

Indexed as

BluetoothCOVID-19digital contact tracingmHealthmixed methods

Identifiers

PMID34586078
PMCPMC8555945
OpenAlexW3203569007

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.