Likelihood of hospital readmission in Medicare Advantage and Fee-For-Service within same hospital

Health Serv Res. 2020 Aug;55(4):587-595. doi: 10.1111/1475-6773.13315. Epub 2020 Jul 1.

Abstract

Objective: To assess the extent to which all-cause 30-day readmission rate varies by Medicare program within the same hospitals.

Study design: We used conditional logistic regression clustered by hospital and generalized estimating equations to compare the odds of unplanned all-cause 30-day readmission between Medicare Fee-for-Service (FFS) and Medicare Advantage (MA).

Data collection: Wisconsin Health Information Organization collects claims data from various payers including private insurance, Medicare, and Medicaid, twice a year.

Principal findings: For 62 of 66 hospitals, hospital-level readmission rates for MA were lower than those for Medicare FFS. The odds of 30-day readmission in MA were 0.92 times lower than Medicare FFS within the same hospital (odds ratio, 0.93; 95 percent confidence interval, 0.89-0.98). The adjusted overall readmission rates of Medicare FFS and MA were 14.9 percent and 11.9 percent, respectively.

Conclusion: These findings provide additional evidence of potential variations in readmission risk by payer and support the need for improved monitoring systems in hospitals that incorporate payer-specific data. Further research is needed to delineate specific care delivery factors that contribute to differential readmission risk by payer source.

Keywords: Medicare; Medicare Advantage; administrative data; hospital readmission.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • Fee-for-Service Plans / economics*
  • Fee-for-Service Plans / statistics & numerical data*
  • Female
  • Hospitals / statistics & numerical data*
  • Humans
  • Logistic Models
  • Male
  • Medicare Part C / economics*
  • Medicare Part C / statistics & numerical data*
  • Odds Ratio
  • Patient Readmission / economics*
  • Patient Readmission / statistics & numerical data*
  • Retrospective Studies
  • Risk Factors
  • United States
  • Wisconsin