Patterns of Morbidity Across the Lifespan: A Population Segmentation Framework for Classifying Health Care Needs for All Ages
Bruce Leff, Cynthia Boyd, Craig Pollack, Jonathan Weiner, Klaus Lemke, Christopher Forrest, Kimberly Gudzune, Chintan Pandya
Abstract
Background:
Classification systems to segment such patients into subgroups for purposes of care management and population analytics should balance administrative simplicity with clinical meaning and measurement precision.
Objective:
To describe and empirically apply a new clinically relevant population segmentation framework applicable to all payers and all ages across the lifespan.
Research Design and Subjects:
Cross-sectional analyses using insurance claims database for 3.31 Million commercially insured and 1.05 Million Medicaid enrollees under 65 years old; and 5.27 Million Medicare fee-for-service beneficiaries aged 65 and older.
Citation
Lemke, Klaus W. PhD, MSc*,†; Forrest, Christopher B. MD, PhD‡; Leff, Bruce A. MD§; Boyd, Cynthia M. MD, MPH§; Gudzune, Kimberly A. MD, MPH†,§,∥; Pollack, Craig E. MD, MHS, MSc†,§,¶; Pandya, Chintan J. PhD, MPH, MBBS*,†; Weiner, Jonathan P. DrPH*,†. Patterns of Morbidity Across the Lifespan: A Population Segmentation Framework for Classifying Health Care Needs for All Ages. Medical Care ():10.1097/MLR.0000000000001898, November 7, 2023. | DOI: 10.1097/MLR.0000000000001898