Public Support for COVID-19 Test Allocation

NCT ID: NCT05185687

Last Updated: 2022-01-11

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 2019 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2022-01-04
• Study Completion Date: 2022-01-06

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.

Detailed Description

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.

Conditions

Health Equity; COVID-19

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: HEALTH_SERVICES_RESEARCH
• Blinding Strategy: SINGLE

Study Groups

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.

Group Type: EXPERIMENTAL

First Come, First Served

Intervention Type: BEHAVIORAL

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.'"

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.

Group Type: EXPERIMENTAL

Random

Intervention Type: BEHAVIORAL

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."

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.

Group Type: EXPERIMENTAL

Disadvantaged Priority & Random

Intervention Type: BEHAVIORAL

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."

Interventions

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.'"

Intervention Type: BEHAVIORAL

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."

Intervention Type: BEHAVIORAL

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."

Intervention Type: BEHAVIORAL

Eligibility Criteria

Inclusion Criteria

• Aged 18 years old or older, United States resident

Exclusion Criteria

• None

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

University of Pennsylvania

OTHER

Sponsor Role: lead

Responsible Party

Alison Buttenheim

Associate Professor of Nursing and Health Policy

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Alison M Buttenheim, PhD, MBA

Role: PRINCIPAL_INVESTIGATOR

University of Pennsylvania

Locations

Harris Insights & Analytics

Washington D.C., District of Columbia, United States

Countries

United States

Other Identifiers

#84525

Identifier Type: REGISTRY

Identifier Source: secondary_id

848725

Identifier Type: -

Identifier Source: org_study_id