Informing Medicaid Program Design for Low-Income Childless Adults: The Promise of Self-Reported Health Measures (2012)

Principal Investigator: Lindsey Leininger, PhD, MA, University of Illinois at Chicago

A recent Medicaid expansion in Wisconsin provides a unique opportunity to assess whether self-reported health measures gathered from an existing enrollment system can provide programmatically useful information. In expanding Medicaid coverage to childless adults in 2009 via a waiver application, the state required that all applicants complete a self-reported health needs assessment (HNA) in addition to the sociodemographic information typically required for program enrollment.  This project will use the Wisconsin experience to assess the value of collecting self-reported health measures at the time of application—a novel use of Medicaid enrollment systems—for the purposes of predicting health care utilization and thereby informing prospective program design for childless adults in Medicaid. 

Publications

The Capacity of Self-Reported Health Measures to Predict High-Need Medicaid Enrollees
(February 2015, Issue Brief)

Predicting High-Need Cases Among New Medicaid Enrollees
(October 2014, Journal Article)

Using Self-Reported Health Measures to Predict High-Need Cases among Medicaid-Eligible Adults
(August 2014, Journal Article)

Prospective Benefit Design for the Medicaid Expansion Population: The Predictive Capacity of Self-Reported Health Measures
(October 2013, Webinar)

Prospectively Identifying Medicaid-Eligible Adults with High Health Care Needs
(June 2013, Presentation)

Predicting High-Need Cases among New Medicaid Enrollees: The Promise of Self-Reported Health Measures
(November 2012, Presentation)

Predicting High-Need Cases among New Medicaid Enrollees: The Promise of Self-Reported Health Measures
(June 2012, Presentation)