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Proposed Methods for Developing and Testing Risk- and Reliability-Adjustment Models for HCBS Composite Measures

Author

Listed:
  • Alex Bohl
  • Mariel Finucane
  • Jessica Ross
  • Sheng Wang
  • Dejene Ayele

Abstract

This methods report describes Mathematica Policy Research’s approach to creating risk-adjustment models using composite measures to profile care delivered to the home- and community-based service (HCBS) population.

Suggested Citation

  • Alex Bohl & Mariel Finucane & Jessica Ross & Sheng Wang & Dejene Ayele, "undated". "Proposed Methods for Developing and Testing Risk- and Reliability-Adjustment Models for HCBS Composite Measures," Mathematica Policy Research Reports f4e0f289ef644d47aa4fe26eb, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:f4e0f289ef644d47aa4fe26eb91286de
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/health/hcbscompositeriskadjustment.pdf
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