Evidence map›Paper›PMID 38498047›Full record

ArticleJMIR formative research2024

Use of Digital COVID-19 Exposure Notifications at a Large Gathering: Survey Analysis of Public Health Conference Attendees.

Caitlin M Drover, Adam S Elder, Brandon L Guthrie, Debra Revere, Nicole L Briggs, Laura M West, Amanda Higgins, William B Lober, Bryant T Karras, Janet G Baseman

Abstract read
In one paragraph

Article in JMIR formative research, 2024. 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

10 authors.

Caitlin M DroverDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0009-0005-4497-6018
Adam S ElderDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0003-1665-2639
Brandon L GuthrieDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-2059-3291
Debra RevereDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-3863-7774
Nicole L BriggsDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-0747-2399
Laura M WestDepartment of Health, Washington State, Tumwater, WA, United States.ORCID https://orcid.org/0009-0002-0340-0352
Amanda HigginsDepartment of Health, Washington State, Tumwater, WA, United States.ORCID https://orcid.org/0009-0008-2331-4471
William B LoberDepartment of Global Health, School of Public Health, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-1053-7501
Bryant T KarrasDepartment of Health, Washington State, Tumwater, WA, United States.ORCID https://orcid.org/0000-0001-5452-9362
Janet G BasemanDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-1974-8196

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWA Notify was Washington State's smartphone-based COVID-19 digital exposure notification (EN) tool, which was used to help limit the spread of COVID-19 between November 30, 2020, and May 11, 2023. Following the 2022 Washington State Public Health Association Annual Conference, attendees who had WA Notify activated began receiving ENs alerting them to a possible COVID-19 exposure during the conference. A survey was emailed to all conference attendees to measure WA Notify adoption, mechanisms through which attendees received ENs, and self-reported engagement in protective behaviors postexposure.

objectiveThis study aimed to learn more about the experiences of WA Notify adopters and nonadopters who may have been exposed to COVID-19 at a large group gathering.

methodsA web-based survey administered through REDCap (Research Electronic Data Capture; Vanderbilt University) was sent to all attendees of the Washington State Public Health Association conference. Self-reported demographic information and characteristics of respondents were summarized. Regression models were used to estimate relative risks to compare WA Notify adoption and testing behaviors between groups.

resultsOf the 464 total registered attendees who were sent the survey, 205 (44%) responses were received; 201 eligible attendees were included in this analysis. Of those, 149 (74%) respondents reported having WA Notify activated on their phones at the time of the conference. Among respondents with WA Notify activated, 54% (n=77) reported learning of their potential exposure from a WA Notify EN. Respondents who reported that they did not have WA Notify activated and learned of their potential exposure via the event-wide email from conference organizers were 39% less likely to test for COVID-19 compared to respondents with WA Notify activated who learned of their potential exposure from the email (relative risk 0.61, 95% CI 0.40-0.93; P=.02), and this gap was even larger when compared to respondents who learned of their exposure from a WA Notify EN. The most commonly cited reason for not having WA Notify activated was privacy concerns (n=17, 35%), followed by not wanting to receive ENs (n=6, 12%) and being unaware of WA Notify (n=5, 10%).

conclusionsDigital EN systems are an important tool to directly and anonymously notify close contacts of potential exposures and provide guidance on the next steps in a timely manner. Given the privacy concerns, there is still a need for increasing transparency surrounding EN technology to increase uptake by the public if this technology were to be used in the future to slow the spread of communicable diseases.

Indexed as

conferencecontact tracingCOVID-19digital public health tooldigital toolexposure notificationonline surveypublic healthsurvey analysis

Identifiers

PMID38498047
PMCPMC10953810

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.