Evidence map›Paper›PMID 38834321›Full record

ArticleBMJ open2024

Evaluation of a novel university-based testing platform to increase access to SARS-CoV-2 testing during the COVID-19 pandemic in a cohort study.

Julia Catherine Bennett, Jessica O'Hanlon, Zachary Acker, Peter D Han, Devon McDonald, Tessa Wright, Kyle G Luiten, Lani Regelbrugge, Kathryn M McCaffrey, Brian Pfau and 7 more

Abstract read
In one paragraph

Article in BMJ open, 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

17 authors.

Julia Catherine BennettDepartment of Medicine, University of Washington, Seattle, Washington, USA jubenn94@uw.edu.ORCID 0000-0003-2559-2922
Jessica O'HanlonDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Zachary AckerBrotman Baty Institute, Seattle, Washington, USA.
Peter D HanBrotman Baty Institute, Seattle, Washington, USA.
Devon McDonaldDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Tessa WrightDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Kyle G LuitenDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Lani RegelbruggeBrotman Baty Institute, Seattle, Washington, USA.
Kathryn M McCaffreyBrotman Baty Institute, Seattle, Washington, USA.
Brian PfauBrotman Baty Institute, Seattle, Washington, USA.ORCID 0009-0007-1100-4989
Caitlin R WolfDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Geoffrey S GottliebDepartment of Medicine, University of Washington, Seattle, Washington, USA.
James P HughesDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Marco CaroneDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Lea M StaritaBrotman Baty Institute, Seattle, Washington, USA.
Helen Y ChuDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Ana A WeilDepartment of Medicine, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-6170-4306

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to evaluate the feasibility and utility of an unsupervised testing mechanism, in which participants pick up a swab kit, self-test (unsupervised) and return the kit to an on-campus drop box, as compared with supervised self-testing at staffed locations.

designUniversity SARS-CoV-2 testing cohort.

settingHusky Coronavirus Testing provided voluntary SARS-CoV-2 testing at a university in Seattle, USA. OUTCOME MEASURES: We computed descriptive statistics to describe the characteristics of the study sample. Adjusted logistic regression implemented via generalised estimating equations was used to estimate the odds of a self-swab being conducted through unsupervised versus supervised testing mechanisms by participant characteristics, including year of study enrolment, pre-Omicron versus post-Omicron time period, age, sex, race, ethnicity, affiliation and symptom status.

resultsFrom September 2021 to July 2022, we received 92 499 supervised and 26 800 unsupervised self-swabs. Among swabs received by the laboratory, the overall error rate for supervised versus unsupervised swabs was 0.3% vs 4%, although this declined to 2% for unsupervised swabs by the spring of the academic year. Results were returned for 92 407 supervised (5% positive) and 25 836 unsupervised (4%) swabs from 26 359 participants. The majority were students (79%), 61% were female and most identified as white (49%) or Asian (34%). The use of unsupervised testing increased during the Omicron wave when testing demand was high and stayed constant in spring 2022 even when testing demand fell. We estimated the odds of using unsupervised versus supervised testing to be significantly greater among those <25 years of age (p<0.001), for Hispanic versus non-Hispanic individuals (OR 1.2, 95% CI 1.0 to 1.3, p=0.01) and lower among individuals symptomatic versus asymptomatic or presymptomatic (0.9, 95% CI 0.8 to 0.9, p<0.001).

conclusionsUnsupervised swab collection permitted increased testing when demand was high, allowed for access to a broader proportion of the university community and was not associated with a substantial increase in testing errors.

Indexed as

COVID-19COVID-19 TestingSARS-CoV-2Specimen HandlingAdolescentAdultAgedCohort StudiesFeasibility StudiesFemaleHumansMaleMiddle AgedPandemicsSelf-TestingUniversitiesCOVID-19Feasibility StudiesObservational StudyPUBLIC HEALTH

Identifiers

PMID38834321
PMCPMC11163660

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.