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Variation in readmission expenditures after high-risk surgery.

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Readmissions after high-risk surgery are common. Discharge to a skilled nursing facility predicts higher readmission costs for both chest and abdominal surgeries, while other factors vary by surgical type.

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Area of Science:

  • Healthcare Economics
  • Surgical Outcomes
  • Health Services Research

Background:

  • The Hospital Readmissions Reduction Program targets excess readmissions for common conditions and now includes surgical patients.
  • Understanding readmission costs is crucial for managing financial implications of post-surgical care.
  • High-risk surgeries represent a significant area for potential cost savings through readmission reduction.

Purpose of the Study:

  • To investigate readmission intensity, measured by cost, for patients undergoing high-risk major chest and abdominal surgeries.
  • To identify patient and hospital factors associated with higher readmission costs following these complex procedures.

Main Methods:

  • Retrospective cohort study using the Healthcare Cost and Utilization Project State Inpatient Database (2009-2010).
  • Analysis included patients undergoing major chest (e.g., aortic valve replacement, CABG) and abdominal (e.g., AAA repair, esophagectomy) surgeries.
  • Multivariable logistic regression with generalized estimation equations was used to model readmission costs.

Main Results:

  • Thirty-day readmission rates were 16% for major chest and 22% for major abdominal surgery.
  • Discharge to a skilled nursing facility significantly increased readmission costs for both surgery types (ORs ~1.9).
  • Factors like comorbidities, length of stay, and blood/imaging use predicted higher costs for chest surgery readmissions, while delayed readmission (>3 weeks) lowered costs for abdominal surgery.

Conclusions:

  • Readmissions are frequent after high-risk surgery, impacting approximately 16-22% of patients.
  • Predictors of elevated readmission costs are distinct for major chest versus abdominal surgeries.
  • Identifying patients at risk for high readmission costs can guide interventions to reduce readmission intensity and overall healthcare expenditure.