Evidence map›Paper›PMID 33315584›Full record

ArticleJMIR public health and surveillance2020

SARS-CoV-2 Testing Service Preferences of Adults in the United States: Discrete Choice Experiment.

Rebecca Zimba, Sarah Kulkarni, Amanda Berry, William You, Chloe Mirzayi, Drew Westmoreland, Angela Parcesepe, Levi Waldron, Madhura Rane, Shivani Kochhar and 4 more

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.7field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 37 citations in OpenAlex.

  1. Syringe Services Participants' Preferences for Wound Care, HIV/Hepatitis C Virus Screening, and Opioid Use Disorder Treatment: A Discrete Choice Experiment.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2026
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  17. Patterns of SARS-CoV-2 testing preferences in a national cohort in the United States.medRxiv : the preprint server for health sciences · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Rebecca ZimbaInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID 0000-0001-5278-3930
Sarah KulkarniInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID 0000-0002-0807-339X
Amanda BerryInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID 0000-0001-9084-7771
William YouInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID 0000-0002-9081-2322
Chloe MirzayiInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID 0000-0002-9817-2868
Drew WestmorelandInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID 0000-0003-4085-7941
Angela ParcesepeThe Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-4321-125X
Levi WaldronInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID 0000-0003-2725-0694
Madhura RaneInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID 0000-0002-8179-9103
Shivani KochharInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID 0000-0002-2752-5582
McKaylee RobertsonInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID 0000-0002-8426-6572
Andrew MarokoInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID 0000-0002-9398-2386
Christian GrovInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID 0000-0001-6871-3531
Denis NashInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID 0000-0002-3280-5386
City University of New York · USUniversity of North Carolina at Chapel Hill · US

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Following a U.S. National Cohort of Vulnerable Men to Improve HIV Prevention and CareUH3AI133675 · NIAID · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI GROV, CHRISTIAN · 2019 to 2021
$6.9M
NIAID NIH HHS UH3 AI133675NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

backgroundAscertaining preferences for SARS-CoV-2 testing and incorporating findings into the design and implementation of strategies for delivering testing services may enhance testing uptake and engagement, a prerequisite to reducing onward transmission.

objectiveThis study aims to determine important drivers of decisions to obtain a SARS-CoV-2 test in the context of increasing community transmission.

methodsWe used a discrete choice experiment to assess preferences for SARS-CoV-2 test type, specimen type, testing venue, and results turnaround time. Participants (n=4793) from the US national longitudinal Communities, Households and SARS-CoV-2 Epidemiology (CHASING) COVID Cohort Study completed our online survey from July 30 to September 8, 2020. We estimated the relative importance of testing method attributes and part-worth utilities of attribute levels, and simulated the uptake of an optimized testing scenario relative to the current typical testing scenario of polymerase chain reaction (PCR) via nasopharyngeal swab in a provider's office or urgent care clinic with results in >5 days.

resultsTest result turnaround time had the highest relative importance (30.4%), followed by test type (28.3%), specimen type (26.2%), and venue (15.0%). In simulations, immediate or same-day test results, both PCR and serology, or oral specimens substantially increased testing uptake over the current typical testing option. Simulated uptake of a hypothetical testing scenario of PCR and serology via a saliva sample at a pharmacy with same-day results was 97.7%, compared to 0.6% for the current typical testing scenario, with 1.8% opting for no test.

conclusionsTesting strategies that offer both PCR and serology with noninvasive methods and rapid turnaround time would likely have the most uptake and engagement among residents in communities with increasing community transmission of SARS-CoV-2.

Indexed as

AdultChoice BehaviorCohort StudiesConsumer BehaviorCOVID-19COVID-19 TestingFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareUnited Statescohort studyCOVID-19discrete choice experimentengagementimplementation sciencepandemicSARS-CoV-2stated preference studytesting

Identifiers

PMID33315584
PMCPMC7781587
OpenAlexW3113271033

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.