- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04901624
Use of Behavioral Economics in Repeat SARS-CoV-2 (COVID-19) Antibody Testing in Disadvantaged Communities
September 25, 2023 updated by: Jason Doctor, University of Southern California
Repeat testing for SARS-CoV-2 antibodies in disadvantaged communities will help identify active and recovered infections over time, and as more is understood about antibody protection, it may help identify persons who have immunity.
Many questions about social barriers and behavioral facilitators remain unanswered.
This project aims to evaluate the effectiveness of risk-based messaging and incentives that promote repeated testing for SARS-CoV-2 antibodies, as well as to understand social and behavioral determinants of COVID-19 testing and variations within sub-groups of this population.
Study Overview
Status
Completed
Conditions
Detailed Description
The rapid spread of the SARS-CoV-2 virus has greatly impacted underserved populations.
This project aims to understand social and behavioral determinants of COVID-19 testing and variations within sub-groups of this population.
In partnership with the largest federally qualified health center in the United States, investigators will collect survey data and conduct a randomized experiment on 2,160 individuals (540 families) to evaluate the effectiveness of risk-based messaging and incentives that promote repeated testing for SARS-CoV-2 antibodies.
In a 2 x 2 (Messaging x Incentive) factorial experiment, participants complete a comprehensive set of social and behavioral surveys to identify determinants of commitment to testing.
Participants are then randomized to receive customized messaging promoting repeated testing.
Messaging will focus upon either (1a) household risk or (1b) personal risk of COVID-19.
Participants are also randomly assigned to an incentive condition that either (2a) insures against losing baseline rewards for initial testing, or (2b) entry into a lottery with a small chance to win $150 if both tests are completed.
Both the loss protection and lottery conditions carry the same incentive costs.
Previous work in similar populations demonstrates that adherence to planned health behaviors is higher with insurance-based incentives than cash payments of equal value.
This experiment compares insurance-based incentives to lottery incentives that have been shown to be effective in multiple contexts.
Finally, the investigators evaluate if social and behavioral determinants of health result in heterogeneous treatment effects that can inform customization of incentive offerings in future programs devoted to increasing uptake of testing or vaccinations among underserved populations.
Study Type
Interventional
Enrollment (Actual)
2161
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
California
-
Los Angeles, California, United States, 90022
- AltaMed Health
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
5 years and older (Child, Adult, Older Adult)
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- Adults and children 5 years of age and older
Exclusion Criteria:
- Children under 5 years of age
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Personal Risk + Loss Protection
|
Personal risk framing may engender concern for oneself.
Households randomized to personal risk messaging will receive the following message: "Antibody testing will help you understand your risk of getting COVID-19."
Household members are offered a baseline incentive with a 90% (9 in 10) chance of $60 and receive insurance on winning the baseline incentive for repeat antibody testing.
|
Experimental: Personal Risk + Lottery Incentive
|
Personal risk framing may engender concern for oneself.
Households randomized to personal risk messaging will receive the following message: "Antibody testing will help you understand your risk of getting COVID-19."
Household members are offered a baseline incentive with a 90% (9 in 10) chance of $60 and receive a bonus lottery incentive with a 4 small (1 in 25) chance of winning $150 for repeat antibody testing.
|
Experimental: Family Risk + Loss Protection
|
Household members are offered a baseline incentive with a 90% (9 in 10) chance of $60 and receive insurance on winning the baseline incentive for repeat antibody testing.
Family risk framing may engender concern for loved ones.
It may also make it easier to mentally simulate family burdens with COVID-19 such as knowing how several people in the family becoming sick could adversely affect the lives of everyone in the family.
Households randomized to family risk messaging will receive the following message: "Antibody testing will help you understand your family's risk of getting COVID-19."
|
Experimental: Family Risk + Lottery Incentive
|
Household members are offered a baseline incentive with a 90% (9 in 10) chance of $60 and receive a bonus lottery incentive with a 4 small (1 in 25) chance of winning $150 for repeat antibody testing.
Family risk framing may engender concern for loved ones.
It may also make it easier to mentally simulate family burdens with COVID-19 such as knowing how several people in the family becoming sick could adversely affect the lives of everyone in the family.
Households randomized to family risk messaging will receive the following message: "Antibody testing will help you understand your family's risk of getting COVID-19."
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Attendance rate at Time 2 SARS-CoV-2 antibody test
Time Frame: 6 months
|
Effectiveness of risk-based messaging and incentives to encourage attendance at Time 2 testing for SARS-CoV-2 antibodies
|
6 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Social and behavioral determinants of antibody testing
Time Frame: 6 months
|
Characterize barriers to access, bias, risk attitude and incentive preferences assessed through survey responses
|
6 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Jason Doctor, PhD, University of Southern California
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
June 29, 2021
Primary Completion (Actual)
June 3, 2023
Study Completion (Actual)
June 3, 2023
Study Registration Dates
First Submitted
March 29, 2021
First Submitted That Met QC Criteria
May 21, 2021
First Posted (Actual)
May 25, 2021
Study Record Updates
Last Update Posted (Actual)
September 26, 2023
Last Update Submitted That Met QC Criteria
September 25, 2023
Last Verified
September 1, 2023
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- HS-20-00793
- 3R33AG057395-04S1 (U.S. NIH Grant/Contract)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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