ClinicalTrials.Veeva

Menu

Use of Behavioral Economics in Repeat SARS-CoV-2 (COVID-19) Antibody Testing in Disadvantaged Communities

University of Southern California logo

University of Southern California

Status

Completed

Conditions

SARS-CoV-2

Treatments

Behavioral: Personal Risk Messaging
Behavioral: Loss Protection
Behavioral: Family Risk Messaging
Behavioral: Lottery Incentive

Study type

Interventional

Funder types

Other
NIH

Identifiers

NCT04901624
3R33AG057395-04S1 (U.S. NIH Grant/Contract)
HS-20-00793

Details and patient eligibility

About

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.

Full 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.

Enrollment

2,164 patients

Sex

All

Ages

5+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Adults and children 5 years of age and older

Exclusion criteria

  • Children under 5 years of age

Trial design

Primary purpose

Health Services Research

Allocation

Randomized

Interventional model

Factorial Assignment

Masking

None (Open label)

2,164 participants in 4 patient groups

Personal Risk + Loss Protection
Experimental group
Description:
Personal Risk + Loss Protection
Treatment:
Behavioral: Loss Protection
Behavioral: Personal Risk Messaging
Personal Risk + Lottery Incentive
Experimental group
Description:
Personal Risk + Lottery Incentive
Treatment:
Behavioral: Lottery Incentive
Behavioral: Personal Risk Messaging
Family Risk + Loss Protection
Experimental group
Description:
Family Risk + Loss Protection
Treatment:
Behavioral: Family Risk Messaging
Behavioral: Loss Protection
Family Risk + Lottery Incentive
Experimental group
Description:
Family Risk + Lottery Incentive
Treatment:
Behavioral: Lottery Incentive
Behavioral: Family Risk Messaging

Trial documents
1

Trial contacts and locations

1

Loading...

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2024 Veeva Systems