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COVID-19 Vaccination Take-Up in a County-Run Medicaid Managed Care Population

Last registered on March 26, 2021

Pre-Trial

Trial Information

General Information

Title
COVID-19 Vaccination Take-Up in a County-Run Medicaid Managed Care Population
RCT ID
AEARCTR-0007405
Initial registration date
March 25, 2021

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
March 26, 2021, 10:49 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Primary Investigator

Affiliation
USC

Other Primary Investigator(s)

PI Affiliation
UCLA
PI Affiliation
USC

Additional Trial Information

Status
In development
Start date
2021-05-15
End date
2022-05-15
Secondary IDs
Abstract
In this work, we are partnering with Contra Costa Health Services (CCHS), the department of health in Contra Costa County, CA, to measure COVID-19 vaccinations and other COVID-19 related preventive health behaviors in the county’s Medicaid managed care population. Our work will test ways to increase COVID-19 vaccine uptake. We hypothesize that small financial incentives and other low-cost behavioral nudges can be used to increase vaccine uptake and reduce disparities in uptake among diverse racial/ethnic minority populations.
External Link(s)

Registration Citation

Citation
chang, Tom, Mireille Jacobson and Manisha Shah. 2021. "COVID-19 Vaccination Take-Up in a County-Run Medicaid Managed Care Population." AEA RCT Registry. March 26. https://doi.org/10.1257/rct.7405-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
We will test the impact of financial incentives, messages from a community leader and messages from race and gender concordant vs. discordant providers on COVID-19 vaccine uptake.
Intervention Start Date
2021-05-15
Intervention End Date
2021-08-15

Primary Outcomes

Primary Outcomes (end points)
Vaccine uptake at 1-month
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Vaccine take-up beyond one month

For the subset of people who are part of the survey panel, we will also see if there is a change in preventive health behaviors and labor supply (assume follow-up surveys).

From administrative data, we will also study health care utilization and COVID-19 testing.

We will also study heterogeneous treatment effects by race, gender and age.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will test the impact of financial incentives, messages from a community leader and messages from race and gender concordant vs. discordant providers on COVID-19 vaccine uptake.
Experimental Design Details
Randomization Method
computer
Randomization Unit
members of Contra Costa Health Plan
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
10,000 unvaccinated members of Contra Costa Health Plan
Sample size: planned number of observations
10,000
Sample size (or number of clusters) by treatment arms
2,500 control
1250 culturally appropriate community message + incentive,
1250 culturally appropriate community message (no incentive)
625 Race concordant, male doctor + incentive
625 Race concordant, female doctor + incentive,
625 Race disconcordant, male doctor + incentive
625 Race disconcordant, female doctor + incentive
625 Race concordant, male doctor (no incentive)
625 Race concordant, female doctor (no incentive)
625 Race disconcordant, male doctor (no incentive)
625 Race disconcordant, female doctor (no incentive)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We power our study for our primary outcome, vaccine take-up. For the purposes of this power calculation, we assume that, similar to recent estimates of vaccination intentions, only 50% of the population will get vaccinated without any outside incentive (see Szilagyi et al 2020). Using standard assumptions of 80% power, 5% alpha, we will be able to detect a change in vaccinations of 3.24 percentage points (6.5% off the mean) for our information treatment (7,500) vs. control (2,500).
IRB

Institutional Review Boards (IRBs)

IRB Name
University of Southern California Institutional Review Board
IRB Approval Date
2021-03-10
IRB Approval Number
UP-21-00030
Analysis Plan

Analysis Plan Documents

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials