Evidence map›Paper›PMID 36314660›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Defining Key Performance Indicators for the California COVID-19 Exposure Notification System (CA Notify).

Eliah Aronoff-Spencer, Camille Nebeker, Alexander T Wenzel, Kevin Nguyen, Rachel Kunowski, Mingjia Zhu, Gary Adamos, Ravi Goyal, Sepideh Mazrouee, Aaron Reyes and 4 more

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). 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
–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

5 citing papers in PubMed.

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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

14 authors.

Eliah Aronoff-SpencerDivision of Infectious Diseases and Global Public Health, School of Medicine, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-6279-5027
Camille NebekerThe Design Lab, University of California San Diego, La Jolla, CA, USA.
Alexander T WenzelDepartment of Biomedical Informatics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
Kevin NguyenUniversity of California San Diego Health, La Jolla, CA, USA.ORCID 0000-0001-9970-6801
Rachel KunowskiUniversity of California San Diego Health, La Jolla, CA, USA.ORCID 0000-0002-6582-9165
Mingjia ZhuUniversity of California San Diego Health, La Jolla, CA, USA.
Gary AdamosUniversity of California San Diego Health, La Jolla, CA, USA.
Ravi GoyalDivision of Infectious Diseases and Global Public Health, School of Medicine, University of California San Diego, La Jolla, CA, USA.
Sepideh MazroueeDivision of Infectious Diseases and Global Public Health, School of Medicine, University of California San Diego, La Jolla, CA, USA.
Aaron ReyesUniversity of California San Diego Health, La Jolla, CA, USA.
Nicole MayUniversity of California San Diego Health, La Jolla, CA, USA.
Holly HowardCalifornia Connected, Center for Infectious Diseases, California Department of Public Health, Richmond, CA, USA.
Christopher A LonghurstDepartment of Biomedical Informatics, School of Medicine, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-4908-6856
Mohsen MalekinejadCalifornia Connected, Center for Infectious Diseases, California Department of Public Health, Richmond, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesToward common methods for system monitoring and evaluation, we proposed a key performance indicator framework and discussed lessons learned while implementing a statewide exposure notification (EN) system in California during the COVID-19 epidemic. MATERIALS AND

methodsCalifornia deployed the Google Apple Exposure Notification framework, branded CA Notify, on December 10, 2020, to supplement traditional COVID-19 contact tracing programs. For system evaluation, we defined 6 key performance indicators: adoption, retention, sharing of unique codes, identification of potential contacts, behavior change, and impact. We aggregated and analyzed data from December 10, 2020, to July 1, 2021, in compliance with the CA Notify privacy policy.

resultsWe estimated CA Notify adoption at nearly 11 million smartphone activations during the study period. Among 1 654 201 CA Notify users who received a positive test result for SARS-CoV-2, 446 634 (27%) shared their unique code, leading to ENs for other CA Notify users who were in close proximity to the SARS-CoV-2-positive individual. We identified at least 122 970 CA Notify users as contacts through this process. Contact identification occurred a median of 4 days after symptom onset or specimen collection date of the user who received a positive test result for SARS-CoV-2. PRACTICE IMPLICATIONS: Smartphone-based EN systems are promising new tools to supplement traditional contact tracing and public health interventions, particularly when efficient scaling is not feasible for other approaches. Methods to collect and interpret appropriate measures of system performance must be refined while maintaining trust and privacy.

Indexed as

COVID-19CaliforniaContact TracingDisease NotificationHumansSARS-CoV-2contact tracingCOVID-19digital exposure notificationdigital technologyinternet-based interventionuniversal design

Identifiers

PMID36314660
PMCPMC9678789

What OpenQuestion holds

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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.