Evidence map›Paper›PMID 39672172›Full record

ArticleJournal of public health management and practice : JPHMP

Protective Behaviors Following Digital COVID-19 Exposure Notifications, Washington State, September 1, 2021, to March 1, 2022.

Nicole L Briggs, Brandon L Guthrie, Adam S Elder, Debra Revere, Andrea R Molino, Laura M West, Amanda Higgins, Bryant T Karras, Janet G Baseman

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PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of public health management and practice : JPHMP. 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. 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

9 authors.

Nicole L BriggsDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, Washington (Ms Briggs); Departments of Global Health and Epidemiology, School of Public Health, University of Washington, Seattle, Washington (Dr Guthrie); Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington (Dr Elder); Department of Health Systems and Population Health (Ms Revere), Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington (Ms Molino); Office of Innovation and Technology, Washington State Department of Health, Tumwater, Washington (Mss West and Higgins);Office of Innovation and Technology, Washington State Department of Health, Tumwater and Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, Washington (Dr Karras); and Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington (Dr Baseman).
Brandon L Guthrie
Adam S Elder
Debra Revere
Andrea R Molino
Laura M West
Amanda Higgins
Bryant T Karras
Janet G Baseman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextDigital exposure notification (EN) systems were widely used to supplement public health case investigations and contact tracing during the 2019 coronavirus disease (COVID-19) pandemic. In Washington State, the state Department of Health (DOH) implemented one such system, WA Notify, which generated ENs based on smartphone Bluetooth proximity detection. However, the privacy preserving measures of this technology prevented collection of information on how users responded after seeing an EN on their device.

objectiveTo understand the influence of ENs on intended and implemented protective behaviors among WA Notify users.

designTwo self-report surveys were administered by the WA DOH: a baseline survey regarding planned protective behaviors, available immediately after seeing an EN, and a follow-up survey distributed 2 weeks later regarding actual protective behaviors implemented. Self-reported planned and implemented protective behaviors were compared across 3 time periods relevant to the COVID-19 pandemic. Poisson regression was used to compare the probability of engaging in various protective behaviors across demographic characteristics and other contextual factors.

settingWashington State.

participantsA total of 4280 individuals who chose to respond to both surveys and who completed the initial survey between September 1, 2021, and March 1, 2022.

main outcome measuresSelf-reported plans for and engagement in protective behaviors (quarantining, testing, and symptom watching).

resultsThe proportion of individuals who reported implementing quarantining and symptom watching after seeing an EN was higher than the proportion that reported planning to engage in each respective behavior. Respondents who reported experiencing symptoms when seeing an EN were more likely to quarantine and test for COVID-19 compared to those with no symptoms.

conclusionPlans to engage in protective behaviors after initially seeing an EN can change and may be influenced by evolving personal and contextual factors. Future digital EN systems can be improved through messaging tailored to encourage protective behaviors relevant to disease prevention.

Indexed as

Contact TracingCOVID-19AdolescentAdultAgedFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2Self ReportSmartphoneSurveys and QuestionnairesWashington

Identifiers

PMID39672172
PMCPMC12316132

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.