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Skilled nursing facilities (SNFs) using an interventional analytics (IA) platform showed significantly lower 30-day readmission rates compared to those without IA. This IA implementation led to improved patient outcomes and quality metrics nationally and statewide.

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Area of Science:

  • Healthcare analytics
  • Quality improvement in skilled nursing facilities
  • Patient readmission reduction strategies

Background:

  • Skilled nursing facilities (SNFs) play a crucial role in post-acute care.
  • Reducing 30-day hospital readmissions is a key performance indicator for SNFs.
  • Variability in readmission rates exists across facilities and geographic regions.

Purpose of the Study:

  • To compare longitudinal 30-day risk-adjusted readmission rates in SNFs associated with Lancaster General Hospital (LGH).
  • To evaluate the impact of an interventional analytics (IA) platform on readmission rates.
  • To assess differences between IA-implementing SNFs, non-IA LGH facilities, Pennsylvania SNFs, and national SNF cohorts.

Main Methods:

  • Retrospective longitudinal analysis of Centers for Medicare & Medicaid Services (CMS) readmissions data (2017-2022).
  • Cross-sectional analysis of CMS quality metrics data.
  • Multivariable mixed effects modeling to compare readmission rates across defined SNF cohorts.

Main Results:

  • LGH SNFs with IA demonstrated significantly lower readmission rates compared to LGH SNFs without IA, Pennsylvania, and national cohorts.
  • In the 12 months ending Q4 2022, IA-equipped SNFs had 12.30-15.24 percentage points lower readmission rates (P < .0001).
  • SNFs implementing IA also showed superior CMS quality metric outcomes.

Conclusions:

  • Implementation of the studied IA platform is associated with statistically and clinically significant improvements in risk-adjusted readmission rates.
  • IA-equipped SNFs outperform national, statewide, and network peers.
  • Further research into the application of IA in SNFs is recommended.