Measuring the burden of multimorbidity among Medicare beneficiaries via condition counts and cumulative duration

Health Serv Res. 2019 Apr;54(2):484-491. doi: 10.1111/1475-6773.13124. Epub 2019 Feb 20.

Abstract

Objective: The study's purpose was to describe the cumulative duration of 19 chronic conditions among Medicare fee-for-service (FFS) beneficiaries and examine variation in total expenditures explained by cumulative duration and condition counts.

Design, setting, study design, and data extraction: In a retrospective cohort of FFS beneficiaries age ≥68, 2015 Medicare enrollment and claims data (N = 20 124 230) were used to identify the presence or absence of 19 diagnosed chronic conditions, and to construct MCC categories (0-1, 2-3, 4-5, 6+) and cumulative duration of each of 19 conditions from the date of first possible occurrence in claims (1/1/1999) to the end of follow-up (date of death or 12/31/2015). Total Medicare expenditures were estimated using linear models adjusted for demographic characteristics.

Principal findings: Multimorbidity was common (71.7 percent with 2+ conditions). The mean cumulative duration of all 19 conditions was 23.6 person-years, which varied greatly by age and number of conditions. Condition counts were more predictive of Medicare expenditures than cumulative duration (R-squared for continuous measures = 0.461 vs 0.272; R-squared for quartiles = 0.408 vs 0.266).

Conclusions: The cumulative duration of chronic conditions varied widely for Medicare beneficiaries, especially for those with 6+ conditions, but was less predictive of total expenditures than condition counts.

Keywords: Medicare; expenditures; multimorbidity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Fee-for-Service Plans / economics
  • Fee-for-Service Plans / statistics & numerical data*
  • Female
  • Health Expenditures / statistics & numerical data*
  • Humans
  • Insurance Claim Review
  • Male
  • Medicare / economics
  • Medicare / statistics & numerical data*
  • Models, Economic
  • Multiple Chronic Conditions / economics
  • Multiple Chronic Conditions / epidemiology*
  • Retrospective Studies
  • Sex Factors
  • Socioeconomic Factors
  • United States