Impact of Enhanced Health Care on Labor Market Participation in San Antonio, Texas

Last registered on November 01, 2023


Trial Information

General Information

Impact of Enhanced Health Care on Labor Market Participation in San Antonio, Texas
Initial registration date
October 27, 2023

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
November 01, 2023, 4:09 PM EDT

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

Last updated
November 01, 2023, 5:25 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.


Primary Investigator

St. Mary's University

Other Primary Investigator(s)

PI Affiliation
St. Mary's University
PI Affiliation
St. Mary's University
PI Affiliation
Pepperdine University
PI Affiliation
St. Mary's University

Additional Trial Information

On going
Start date
End date
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Randomized Controlled Trial (RCT) to study the interaction between labor force participation and health in the diabetic population of the San Antonio, Texas, MSA. Data from a 2019/2020 San Antonio Metropolitan Health District (Metro Health) report confirms that this community has a higher diabetes hospitalization rate than the rest of the state; an increasing child diabetes hospitalization rate; higher hospitalization rates for diabetic amputations; and a higher age-adjusted mortality rate for diabetes than the state and the country. Black and Hispanic/Latinx populations have the highest incidences of diabetes in the city. We plan a collaboration with three local NGOs that already provide both access to and continuing care for undeserved and uninsured diabetic populations in the greater MSA. Our proposal follows the principles of the Oregon Health Insurance Experiment that examined Medicaid expansion and its impact on health outcomes in Oregon. We plan to leverage existing administrative data from the NGOs’ diabetes programs to establish a baseline on the wage/salary status of participants. The three NGOs will participate in an RCT to expand the reach of diabetes care through new schemes that include community health advocates and technology for online education and care management. Data from the RCT will be analyzed to determine if providing care using these community care workers, technology or a combination thereof improves labor force participation, engenders economic stability, and fosters upward economic mobility for the diabetic population.
External Link(s)

Registration Citation

Armitage, Janet et al. 2023. "Impact of Enhanced Health Care on Labor Market Participation in San Antonio, Texas." AEA RCT Registry. November 01.
Sponsors & Partners

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information
Experimental Details


This is clustered RCT in which we follow client/patients at three community partners. A randomized selection of client/patients at each clinic will be offered additional support such as free glucometers and healthy food vouchers in an effort to better understand if this improves adherence to their treatment plans. Participants are at varying stage in managing their Type II Diabetes and/or gestational diabetes. Community health workers will administer survey questions at regular visits by the client/patient to their facilities. These surveys will ask questions about workforce participation such employment status, wage/salary, and changes to these indicators due to their condition.
Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
individual labor force participation
Primary Outcomes (explanation)
We are interested in analyzing the impact of Texas' model of care on labor force participation in marginalized communities

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Trial will involve a randomization of participants in enhanced healthcare programs.
Experimental Design Details
Not available
Randomization Method
Computerized randomization
Randomization Unit
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
3 planned clusters of community health care settings, each with a population of particcipants
Sample size: planned number of observations
Sample size (or number of clusters) by treatment arms
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

Institutional Review Boards (IRBs)

IRB Name
St. Mary's University Institutional Review Board
IRB Approval Date
IRB Approval Number