Public Support for COVID-19 Test Allocation
Race, Status, Vaccines, Tests, and Place: Public Attitudes and Support for Equitable COVID-19 Vaccine and Test Allocation
2 other identifiers
interventional
2,019
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2022
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 4, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 6, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
January 6, 2022
CompletedFirst Submitted
Initial submission to the registry
January 7, 2022
CompletedFirst Posted
Study publicly available on registry
January 11, 2022
CompletedJanuary 11, 2022
January 1, 2022
2 days
January 7, 2022
January 7, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Support for allocation plan
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
Secondary Outcomes (2)
Household-level test allocation preference
5 minutes
Tests allocated to disadvantaged areas
5 minutes
Study Arms (3)
First Come, First Served
EXPERIMENTALRespondents 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.
Random
EXPERIMENTALRespondents 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.
Disadvantaged Priority & Random
EXPERIMENTALRespondents 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.
Interventions
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.'"
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."
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."
Eligibility Criteria
You may qualify if:
- Aged 18 years old or older, United States resident
You may not qualify if:
- None
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Harris Insights & Analytics
Washington D.C., District of Columbia, 20006, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Alison M Buttenheim, PhD, MBA
University of Pennsylvania
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- INVESTIGATOR
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor of Nursing and Health Policy
Study Record Dates
First Submitted
January 7, 2022
First Posted
January 11, 2022
Study Start
January 4, 2022
Primary Completion
January 6, 2022
Study Completion
January 6, 2022
Last Updated
January 11, 2022
Record last verified: 2022-01