August 19, 2014: The research team led by Dr. Lindsey Leininger (Assistant Professor, University of Illinois at Chicago) published an article in Health Services Research detailing findings from their SHARE-funded research project.
Article Overview
The article, "Using Self-Reported Health Measures to Predict High-Need Cases among Medicaid-Eligible Adults," assesses the capacity of different self-reported health measures to prospectively identify Medicaid-eligible adults with high future health care needs. The element of self-report is important because of the lack of recent claims history for new Medicaid enrollees, nine million of which are expected in 2014 per Congressional Budget Office estimates.
Findings
Compared to a set of baseline administrative information currently collected at the time of Medicaid application, self-reported health measures substantially increase the capacity to predict which individuals will be high-needs cases. Among the measures tested, self-reported prior health care utilization yielded the single largest incremental gain in predictive capacity.