Role of Patient Sorting in Avoidable Hospital Stays in Medicare Advantage vs Traditional Medicare

Jianhui Frank Xu1, Kelly E Anderson2, Angela Liu1

  • 1Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.

JAMA Health Forum
|November 10, 2023
PubMed
Abstract

Insights

Medicare Advantage (MA) plans lead to fewer avoidable hospital stays because beneficiaries are directed to clinicians with better performance. This patient sorting within MA networks significantly contributes to the observed differences compared to traditional Medicare (TM).

Area of Science:

  • Health Services Research
  • Health Economics
  • Clinical Quality Measurement

Background:

  • Traditional Medicare (TM) beneficiaries receive care from a broad network of clinicians.
  • Medicare Advantage (MA) plans restrict beneficiaries to a specific network, influencing patient-clinician relationships.
  • The comparative performance of clinicians treating MA versus TM beneficiaries is not well understood.

Purpose of the Study:

  • To investigate if differences in avoidable hospital stays between MA and TM beneficiaries can be attributed to the primary care clinicians involved.
  • To quantify the impact of patient sorting by MA plans on avoidable hospitalizations.

Main Methods:

  • Cross-sectional study utilizing a nationally representative sample of MA and TM beneficiaries in 2019.
  • Analysis focused on patients with one of five chronic ambulatory care-sensitive conditions (ACSCs).
  • Inverse probability of treatment-weighted Poisson regression was used to estimate relative risks (RR) of avoidable hospital stays, with and without clinician fixed effects.

Main Results:

  • A total of 1,323,481 MA and 1,965,863 TM beneficiaries were included.
  • Controlling for primary care clinicians reduced the RR of avoidable hospital stays in MA vs TM by 2.6 percentage points (P < .001).
  • This indicates MA beneficiaries were treated by clinicians with demonstrably lower rates of avoidable hospital stays, explaining a 2% lower overall rate.

Conclusions:

  • Lower rates of avoidable hospital stays in MA compared to TM are significantly influenced by patient sorting to higher-performing clinicians.
  • The network design of MA plans plays a crucial role in directing patients to clinicians associated with better outcomes.
  • These findings highlight the impact of managed care network structures on healthcare utilization and quality.

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