Evidence map›Paper›PMID 36525333›Full record

ArticleJMIR formative research2023

Implementation of a Hardware-Assisted Bluetooth-Based COVID-19 Tracking Device in a High School: Mixed Methods Study.

Dan Li, Tyler Shelby, Marie Brault, Rajit Manohar, Sten Vermund, Ashley Hagaman, Laura Forastiere, Tyler Caruthers, Emilie Egger, Yizhou Wang and 4 more

Abstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

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

14 authors.

Dan Li *Yale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0001-6658-502X
Tyler Shelby *Yale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0003-0581-4399
Marie BraultYale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0002-7152-785X
Rajit ManoharYale School of Engineering and Applied Science, New Haven, CT, United States.ORCID https://orcid.org/0000-0001-8211-6602
Sten VermundYale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0001-7289-8698
Ashley HagamanYale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0002-8016-1036
Laura ForastiereYale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0003-3721-9826
Tyler CaruthersYale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0001-7425-188X
Emilie EggerYale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0002-7265-0526
Yizhou WangYale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0002-7862-1857
Nathan ManoharIBM T.J. Watson Research Center, Yorktown Heights, NY, United States.ORCID https://orcid.org/0000-0002-0150-4011
Peter ManoharCarnegie Mellon University, Pittsburgh, NY, United States.ORCID https://orcid.org/0000-0002-0732-5073
J Lucian DavisYale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0002-8629-9992
Xin ZhouYale School of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0003-2238-2890

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
Training in Implementation Science Research and MethodsT32HL155000 · NHLBI · YALE UNIVERSITY · PI SPIEGELMAN, DONNA L, VELAZQUEZ, ERIC J · 2021 to 2025
$2.2M
Engaging providers, community members, and young women to adapt and pilot a youth-friendly sexual and reproductive health package in low-income communities in IndiaK01TW011480 · FIC · YALE UNIVERSITY · PI BRAULT, MARIE AMANDA · 2020 to 2023
$591k
FIC NIH HHS K01 TW011480NCATS NIH HHS UL1 TR001863NHLBI NIH HHS T32 HL155000
6 · The paper itself

Abstract

backgroundContact tracing is a vital public health tool used to prevent the spread of infectious diseases. However, traditional interview-format contact tracing (TCT) is labor-intensive and time-consuming and may be unsustainable for large-scale pandemics such as COVID-19.

objectiveIn this study, we aimed to address the limitations of TCT. The Yale School of Engineering developed a Hardware-Assisted Bluetooth-based Infection Tracking (HABIT) device. Following the successful implementation of HABIT in a university setting, this study sought to evaluate the performance and implementation of HABIT in a high school setting using an embedded mixed methods design.

methodsIn this pilot implementation study, we first assessed the performance of HABIT using mock case simulations in which we compared contact tracing data collected from mock case interviews (TCT) versus Bluetooth devices (HABIT). For each method, we compared the number of close contacts identified and identification of unique contacts. We then conducted an embedded mixed methods evaluation of the implementation outcomes of HABIT devices using pre- and postimplementation quantitative surveys and qualitative focus group discussions with users and implementers according to the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework.

resultsIn total, 17 students and staff completed mock case simulations in which 161 close contact interactions were detected by interview or Bluetooth devices. We detected significant differences in the number of close contacts detected by interview versus Bluetooth devices (P<.001), with most (127/161, 78.9%) contacts being reported by interview only. However, a significant number (26/161, 16.1%; P<.001) of contacts were uniquely identified by Bluetooth devices. The interface, ease of use, coherence, and appropriateness were highly rated by both faculty and students. HABIT provided emotional security to users. However, the prototype design and technical difficulties presented barriers to the uptake and sustained use of HABIT.

conclusionsImplementation of HABIT in a high school was impeded by technical difficulties leading to decreased engagement and adherence. Nonetheless, HABIT identified a significant number of unique contacts not reported by interview, indicating that electronic technologies may augment traditional contact tracing once user preferences are accommodated and technical glitches are overcome. Participants indicated a high degree of acceptance, citing emotional reassurance and a sense of security with the device.

Indexed as

Bluetooth devicecontact tracingCOVID-19digital contact tracingimplementation sciencemixed methodsschool healthsecondary school

Identifiers

PMID36525333
PMCPMC10131711

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.