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Leveraging the Random Assignment of Medicaid Managed Care Plans to Study Plan Choices, Treatment Effects, and Cream Skimming
Last registered on March 02, 2018

Pre-Trial

Trial Information
General Information
Title
Leveraging the Random Assignment of Medicaid Managed Care Plans to Study Plan Choices, Treatment Effects, and Cream Skimming
RCT ID
AEARCTR-0002762
Initial registration date
March 01, 2018
Last updated
March 02, 2018 4:19 PM EST
Location(s)
Primary Investigator
Affiliation
Northwestern University
Other Primary Investigator(s)
PI Affiliation
Northwestern University
Additional Trial Information
Status
On going
Start date
2017-01-01
End date
2019-01-01
Secondary IDs
Abstract
In South Carolina, the Medicaid program is administered through Managed Care Organizations (MCOs), which offer different health care plans to Medicaid beneficiaries. These plans differ in their generosity, network coverage, and other attributes, and they are evaluated by the state using a system of "star ratings." Starting in 2017, when consumers do not make an active plan choice, the state assigns a plan automatically using an explicitly random process. We use this auto-assignment feature to study the effect of plan assignment on patient outcomes, such as health care utilization and health care expenditures.
External Link(s)
Registration Citation
Citation
Garthwaite, Craig and Matthew Notowidigdo. 2018. "Leveraging the Random Assignment of Medicaid Managed Care Plans to Study Plan Choices, Treatment Effects, and Cream Skimming." AEA RCT Registry. March 02. https://doi.org/10.1257/rct.2762-1.0
Former Citation
Garthwaite, Craig, Matthew Notowidigdo and Matthew Notowidigdo. 2018. "Leveraging the Random Assignment of Medicaid Managed Care Plans to Study Plan Choices, Treatment Effects, and Cream Skimming." AEA RCT Registry. March 02. https://www.socialscienceregistry.org/trials/2762/history/26259
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2017-01-01
Intervention End Date
2019-01-01
Primary Outcomes
Primary Outcomes (end points)
Health care utilization and health care expenditures
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
In South Carolina, the Medicaid program is administered through Managed Care Organizations (MCOs), which offer different health care plans to Medicaid beneficiaries. These plans differ in their generosity, network coverage, and other attributes, and they are evaluated by the state using a system of "star ratings." Starting in 2017, when consumers do not make an active plan choice, the state assigns a plan automatically using an explicitly random process. We use this auto-assignment feature to study the effect of plan assignment on patient outcomes, such as health care utilization and health care expenditures.
Experimental Design Details
Randomization Method
Computer
Randomization Unit
Household
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
20,000
Sample size: planned number of observations
30,000
Sample size (or number of clusters) by treatment arms
5,000
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
Analysis Plan

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Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports and Papers
Preliminary Reports
Relevant Papers