Building Managed Long-Term Services and Supports Risk-Adjustment Models: State Experiences Using Functional Data

Maria Dominiak and Alex Bohl

Mathematica Policy Research Reports from Mathematica Policy Research

Abstract: This brief describes New York’s and Wisconsin’s sophisticated Medicaid managed long-term services and supports risk-adjustment models that use functional status data to predict long-term services and supports costs.

Keywords: Managed Long-Term Services and Supports; MLTSS; Long-Term Services and Supports; LTSS; risk adjustment models (search for similar items in EconPapers)
Pages: 16
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.chcs.org/resource/building-managed-long ... ing-functional-data/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mpr:mprres:e934929159da44869eba6b8cd879010d

Access Statistics for this paper

More papers in Mathematica Policy Research Reports from Mathematica Policy Research Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications. Contact information at EDIRC.
Bibliographic data for series maintained by Joanne Pfleiderer () and Cindy George ( this e-mail address is bad, please contact ).