Evidence map›Paper›PMID 36041004›Full record

ArticleJMIR formative research2022

Feasibility of At-Home Serial Testing Using Over-the-Counter SARS-CoV-2 Tests With a Digital Smartphone App for Assistance: Longitudinal Cohort Study.

Carly Herbert, John Broach, William Heetderks, Felicia Qashu, Laura Gibson, Caitlin Pretz, Kelsey Woods, Vik Kheterpal, Thejas Suvarna, Christopher Nowak and 7 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Point-of-care testing preferences 2020-2022: Trends over the years.Cardiovascular digital health journal · 2024
    Article
  3. Review
  4. Article
  5. Article
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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

17 authors at 5 institutions in 1 country.

Carly HerbertProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0001-8972-0474
John BroachDepartment of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-6581-2232
William HeetderksNational Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, United States.ORCID https://orcid.org/0000-0001-7714-107X
Felicia QashuNational Institutes of Health, Bethesda, MD, United States.ORCID https://orcid.org/0000-0002-5675-6355
Laura GibsonDivision of Infectious Disease and Immunology, Departments of Medicine and Pediatrics, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0003-0224-305X
Caitlin PretzProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-5272-003X
Kelsey WoodsProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0003-3633-3512
Vik KheterpalCareEvolution, LLC, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-4752-4229
Thejas SuvarnaCareEvolution, LLC, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-4811-0298
Christopher NowakCareEvolution, LLC, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-1796-9558
Peter LazarDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-0744-1461
Didem AyturkDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0003-1309-8388
Bruce BartonDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0001-7878-8895
Chad AchenbachDivision of Infectious Disease, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-4847-7249
Robert MurphyDivision of Infectious Disease, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-3936-2052
David McManusProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-9343-6203
Apurv SoniProgram in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0001-5049-3657
University of Massachusetts Chan Medical School · USCareEvolution (United States) · USNorthwestern University · USNational Institute of Biomedical Imaging and Bioengineering · USNational Institutes of Health · US

Funding

University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
The Center for Innovation in Point-of-Care Technologies for HIV/AIDS atNorthwestern University (C-THAN) Supplemental RequestU54EB027049 · NIBIB · NORTHWESTERN UNIVERSITY · PI Chad J Achenbach, SALLY Maureen MCFALL · 2018 to 2026
$24.0M
University of Massachusetts Center for Clinical and Translational ScienceTL1TR001454 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEWIS, BRIAN C · 2015 to 2024
$3.6M
NCATS NIH HHS TL1 TR001454NCATS NIH HHS UL1 TR001453NIBIB NIH HHS U54 EB027049
6 · The paper itself

Abstract

backgroundThe ongoing SARS-CoV-2 pandemic necessitates the development of accurate, rapid, and affordable diagnostics to help curb disease transmission, morbidity, and mortality. Rapid antigen tests are important tools for scaling up testing for SARS-CoV-2; however, little is known about individuals' use of rapid antigen tests at home and how to facilitate the user experience.

objectiveThis study aimed to describe the feasibility and acceptability of serial self-testing with rapid antigen tests for SARS-CoV-2, including need for assistance and the reliability of self-interpretation.

methodsA total of 206 adults in the United States with smartphones were enrolled in this single-arm feasibility study in February and March 2021. All participants were asked to self-test for COVID-19 at home using rapid antigen tests daily for 14 days and use a smartphone app for testing assistance and to report their results. The main outcomes were adherence to the testing schedule, the acceptability of testing and smartphone app experiences, and the reliability of participants versus study team's interpretation of test results. Descriptive statistics were used to report the acceptability, adherence, overall rating, and experience of using the at-home test and MyDataHelps app. The usability, acceptability, adherence, and quality of at-home testing were analyzed across different sociodemographic, age, and educational attainment groups.

resultsOf the 206 enrolled participants, 189 (91.7%) and 159 (77.2%) completed testing and follow-up surveys, respectively. In total, 51.3% (97/189) of study participants were women, the average age was 40.7 years, 34.4% (65/189) were non-White, and 82% (155/189) had a bachelor's degree or higher. Most (n=133/206, 64.6%) participants showed high testing adherence, meaning they completed over 75% of the assigned tests. Participants' interpretations of test results demonstrated high agreement (2106/2130, 98.9%) with the study verified results, with a κ score of 0.29 (P<.001). Participants reported high satisfaction with self-testing and the smartphone app, with 98.7% (157/159) reporting that they would recommend the self-test and smartphone app to others. These results were consistent across age, race/ethnicity, and gender.

conclusionsParticipants' high adherence to the recommended testing schedule, significant reliability between participants and study staff's test interpretation, and the acceptability of the smartphone app and self-test indicate that self-tests for SARS-CoV-2 with a smartphone app for assistance and reporting is a highly feasible testing modality among a diverse population of adults in the United States.

Indexed as

COVID-19digital healthmHealthmobile healthMyDataHelps smartphone apppandemicrapid testsSARS-CoV-2self testserial self-testing

Identifiers

PMID36041004
PMCPMC9580993
OpenAlexW4293101473

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.