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Public Support for COVID-19 Test Allocation

7 januari 2022 bijgewerkt door: Alison Buttenheim, University of Pennsylvania

Race, Status, Vaccines, Tests, and Place: Public Attitudes and Support for Equitable COVID-19 Vaccine and Test Allocation

In a randomized survey experiment, investigators will assess public support or opposition towards one of three potential government plans for allocating at-home coronavirus disease 2019 (COVID-19) tests to United States residents: 1) first come, first served; 2) a random draw; or 3) a random draw with 20% of tests reserved for disadvantaged areas. Investigators will also examine public attitudes surrounding other logistical and equity-related aspects of these allocation plans.

Studie Overzicht

Toestand

Voltooid

Conditie

Interventie / Behandeling

Gedetailleerde beschrijving

Complementing other efforts to increase access to COVID-19 testing in the United States, the federal government recently announced the purchase of 500,000,000 at home COVID-19 to be distributed for free "to Americans that want them". A central logistical element in matching supply with demand will be a website, on which people will register their interest in getting tests delivered to their home address. However, it is still unclear how supply will be matched with demand. Three main candidate options are first come, first served (FCFS), in which people are sent tests in the order in which they make requests; a random draw, such as a lottery; or a combination of a random draw with a guaranteed reserved amount for more disadvantaged populations. FCFS is a widely known and practiced rationing principle, but it has shown to exacerbate inequities in, for example, the allocation of vaccine appointments. Random draws can mitigate this impact, but, in the present context, might be insufficiently sensitive to the fact that not everyone has internet access, and that the need for testing is greater among more disadvantaged communities. Combining a lottery with a disadvantage reserve system using measures such as the CDC's Social Vulnerability Index is a practical way of promoting equity, and it was already used by the majority of US states in allocating vaccines. The main objective of this study is to assess public support for each of these three allocation plans and describe differences by demographic characteristics. Investigators will also assess public attitudes toward specific details of these allocation plans. The study, which is expected to take approximately 5 minutes to complete, will be administered as part of an omnibus online survey.

Studietype

Ingrijpend

Inschrijving (Werkelijk)

2019

Fase

  • Niet toepasbaar

Contacten en locaties

In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.

Studie Locaties

  • Verenigde Staten
    • District of Columbia
      • Washington, District of Columbia, Verenigde Staten, 20006
        • Harris Insights & Analytics

Deelname Criteria

Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.

Geschiktheidscriteria

Leeftijden die in aanmerking komen voor studie

18 jaar en ouder (Volwassen, Oudere volwassene)

Accepteert gezonde vrijwilligers

Ja

Geslachten die in aanmerking komen voor studie

Allemaal

Beschrijving

Inclusion Criteria:

  • Aged 18 years old or older, United States resident

Exclusion Criteria:

  • None

Studie plan

Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.

Hoe is de studie opgezet?

Ontwerpdetails

  • Primair doel: Onderzoek naar gezondheidsdiensten
  • Toewijzing: Gerandomiseerd
  • Interventioneel model: Parallelle opdracht
  • Masker: Enkel

Wapens en interventies

Deelnemersgroep / Arm
Interventie / Behandeling
Experimenteel: First Come, First Served

Respondents will view the following description: "The US government will make 500 million COVID-19 home tests available for free. US residents can ask for tests by entering their home address in a website. It is likely that more people will want tests than will be available. How should the government decide who will receive tests, when there are not enough for all who want them? One plan that is being considered is this one:"

Below this statement, respondents will view the "First Come, First Served" plan description.
Gedragsmatig: First Come, First Served
Respondents will view the following description of the plan: "Tests will be sent out in the order they are requested. People who request tests the quickest will get them first, no matter where they live. People who request tests later may not get any. This strategy is also known as 'First Come, First Served.'"
Experimenteel: Random

Respondents will view the following description: "The US government will make 500 million COVID-19 home tests available for free. US residents can ask for tests by entering their home address in a website. It is likely that more people will want tests than will be available. How should the government decide who will receive tests, when there are not enough for all who want them? One plan that is being considered is this one:"

Below this statement, respondents will view the "Random" plan description.
Gedragsmatig: Random
Respondents will view the following description of the plan: "People who request tests will be entered into a random drawing, like a sweepstakes or lottery. Everyone who is in the drawing has the same chance of getting tests, no matter where they live, but some people may not get any tests."
Experimenteel: Disadvantaged Priority & Random

Respondents will view the following description: "The US government will make 500 million COVID-19 home tests available for free. US residents can ask for tests by entering their home address in a website. It is likely that more people will want tests than will be available. How should the government decide who will receive tests, when there are not enough for all who want them? One plan that is being considered is this one:"

Below this statement, respondents will view the "Disadvantaged Priority & Random" plan description.
Gedragsmatig: Disadvantaged Priority & Random
Respondents will view the following description of the plan: "Because COVID-19 has hit people living in disadvantaged areas of the country harder, a proportion of tests will be sent exclusively to people in these zip codes. Planners will allocate 80% of the tests using a random drawing, like a sweepstakes or lottery. Everyone who is in the drawing has the same chance of getting tests, no matter where they live. The remaining 20% are set aside exclusively for the most disadvantaged areas, again allocated with a random drawing. Some people may not get any tests. But people living in disadvantaged areas are more likely to get them."

Wat meet het onderzoek?

Primaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Support for allocation plan
Tijdsspanne: 5 minutes
Self-reported degree of support for the plan, measured on a 5-point Likert scale ("strongly oppose" to "strongly support") that will be collapsed into 3 response categories ("oppose," "neutral," and "support") for analysis.
5 minutes

Secundaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Household-level test allocation preference
Tijdsspanne: 5 minutes
Preferred way of sending tests to households, measured as a binary choice between a fixed or variable (based on household size) number of tests per household.
5 minutes
Tests allocated to disadvantaged areas
Tijdsspanne: 5 minutes
Self-reported percentage of tests wanted to be sent to disadvantaged areas, measured as a continuous variable on a slider from 0% to 100% with increments of 0.1%. This outcome will only be measured for respondents in the "Disadvantaged Priority & Random" condition.
5 minutes

Medewerkers en onderzoekers

Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.

Sponsor

University of Pennsylvania

Onderzoekers

  • Hoofdonderzoeker: Alison M Buttenheim, PhD, MBA, University of Pennsylvania

Studie record data

Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.

Bestudeer belangrijke data

Studie start (Werkelijk)

4 januari 2022

Primaire voltooiing (Werkelijk)

6 januari 2022

Studie voltooiing (Werkelijk)

6 januari 2022

Studieregistratiedata

Eerst ingediend

7 januari 2022

Eerst ingediend dat voldeed aan de QC-criteria

7 januari 2022

Eerst geplaatst (Werkelijk)

11 januari 2022

Updates van studierecords

Laatste update geplaatst (Werkelijk)

11 januari 2022

Laatste update ingediend die voldeed aan QC-criteria

7 januari 2022

Laatst geverifieerd

1 januari 2022

Meer informatie

Termen gerelateerd aan deze studie

Trefwoorden

Aanvullende relevante MeSH-voorwaarden

Andere studie-ID-nummers

  • 848725
  • #84525 (Register-ID: AsPredicted)

Plan Individuele Deelnemersgegevens (IPD)

Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?

ONBESLIST

Beschrijving IPD-plan

Only de-identified individual participant data will be shared by Harris Insights & Analytics to the research team. Each participant will have a unique identifier to protect their confidentiality. Only authorized research personnel will have access to the data which will be maintained on encrypted hard-drives. Individual participant data may be made available to other researchers in an open-access repository.

Informatie over medicijnen en apparaten, studiedocumenten

Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel

Nee

Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct

Nee

Deze informatie is zonder wijzigingen rechtstreeks van de website clinicaltrials.gov gehaald. Als u verzoeken heeft om uw onderzoeksgegevens te wijzigen, te verwijderen of bij te werken, neem dan contact op met register@clinicaltrials.gov. Zodra er een wijziging wordt doorgevoerd op clinicaltrials.gov, wordt deze ook automatisch bijgewerkt op onze website .

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