Evidence map›Paper›PMID 42456150›Full record

ArticleJMIR public health and surveillance2026

Characteristics Influencing Adherence to SARS-CoV-2 Serial Antigen Testing Following a Federal Safety Communication: Cohort Study.

Micajah Z McGarity, Catherine C Pollack, Elizabeth A Currier, Andrew C Godoshian, Zachary R Smith, Marcus Siddall, Gregg M Tavolacci, Reynolds M Salerno, Thomas C Tsai, Michael F Iademarco and 1 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2026. 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

11 authors.

Micajah Z McGarity *Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States.ORCID 0000-0001-7323-0526
Catherine C Pollack *Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States.ORCID 0000-0002-7434-5306
Elizabeth A CurrierJohns Hopkins University Applied Physics Laboratory, Laurel, MD, United States.ORCID 0009-0001-1976-1147
Andrew C GodoshianIncreasing Community Access to Testing, Treatment, and Response Program, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0009-0005-6203-6521
Zachary R SmithIncreasing Community Access to Testing, Treatment, and Response Program, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-9844-8019
Marcus SiddallIncreasing Community Access to Testing, Treatment, and Response Program, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-3977-7517
Gregg M TavolaccieTrueNorth, Fort Worth, TX, United States.ORCID 0009-0008-5118-4862
Reynolds M SalernoOffice of Laboratory Systems and Response, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0003-3237-9935
Thomas C TsaiDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States.ORCID 0000-0002-9183-016X
Michael F Iademarco *(retired), United States Public Health Service, Washington, DC, United States.ORCID 0000-0002-8865-0408
Joseph D MillerIncreasing Community Access to Testing, Treatment, and Response Program, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0003-3741-2263

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThroughout the COVID-19 pandemic, regular population testing for SARS-CoV-2 was crucial for disease monitoring and management. Initially, reverse transcriptase-polymerase chain reaction tests were primarily used for identifying new cases, but their high cost and delayed results, combined with laboratory capacity and supply chain limitations, led to the adoption of antigen-detection rapid diagnostic tests (Ag-RDTs) at point-of-care locations. On August 11, 2022, the US Food and Drug Administration (FDA) issued a safety communication recommending serial Ag-RDT testing to reduce the risk of false-negative results from singular testing and combat disease spread, followed by a revision letter on November 1, 2022, to manufacturers to update their authorized product labeling.

objectiveThis study evaluates adherence to serial testing using data from the Centers for Disease Control and Prevention (CDC) Increasing Community Access to Testing, Treatment, and Response (ICATT) program.

methodsThis national, retrospective cohort study analyzed ICATT program line-level testing records from August 12, 2022, to January 14, 2025. Patients were included if they had at least 1 Ag-RDT. Adherence was determined based on whether patients followed FDA guidance after a negative test. Multivariable logistic regression models were used to identify demographic features associated with adherence, with an expanded model to identify the impact of additional clinical variables. Rates of testing positive after an initial negative Ag-RDT were also calculated for ICATT pharmacy testing.

resultsThere were 2,189,464 patients included in the second-test adherence analysis, and 6813 included in the third-test adherence analysis. Less than 1% (20,290/2,189,464) of patients were adherent to the instructions to use a second Ag-RDT, and 98.2% (2,149,292/2,189,464) had no second test documented in ICATT and therefore were classified as nonadherent in this analysis. Second-test adherence was higher among Asian (adjusted odds ratio [AOR] 1.28, 95% CI 1.21-1.36) and Black (AOR 1.17, 95% CI 1.12-1.23) patients and lower among children (AOR 0.48, 95% CI 0.45-0.51). In the expanded model, recent COVID-19 contact increased adherence odds (AOR 1.87, 95% CI 1.64-2.13), whereas recent COVID-19 infection decreased them (AOR 0.66, 95% CI 0.56-0.76). Among patients with symptoms initially testing negative with an Ag-RDT, 24.9% (7310/29,315) tested positive on their second test, and 57.4% (4195/7310) of these episodes were adherent. For patients without symptoms, 4.2% (60/1435) tested positive on their third test after testing negative on their first 2 tests, with 60% (36/60) adherence.

conclusionsThis study is the first to evaluate adherence to the FDA instructions to perform serial Ag-RDTs. Overall, adherence was low among patients seeking testing at community sites. Recent COVID-19 exposure was associated with the highest odds of serial testing adherence. These insights can inform targeted public health strategies to improve adherence and reduce the risk of false-negative results from Ag-RDTs in future pandemics.

Indexed as

COVID-19COVID-19 Serological TestingCOVID-19 TestingGuideline AdherenceAdultCohort StudiesFemaleHumansMaleMiddle AgedRapid Diagnostic TestsSARS-CoV-2United StatesUnited States Food and Drug Administrationantigen testingat-home testingCenters for Disease Control and Preventioncommunity testingCOVID-19diagnostic testing strategyfalse-negativepublic health surveillancereal-world evidencerepeat testingrisk communicationserial testingtesting adherence

Identifiers

PMID42456150
PMCPMC13420528

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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.