Outpatient vs. inpatient designation in total hip arthroplasty: can we predict who will require hospitalization?

Patrick Connolly1, Jeremiah Thomas1, Thomas Bieganowski1

  • 1Department of Orthopaedic Surgery, NYU Langone Health, NYU Langone Orthopaedic Hospital, 301 East 17th Street, New York, NY, 10003, USA.

Insights

Nearly 20% of total hip arthroplasty (THA) patients scheduled for outpatient surgery required inpatient conversion. Factors like older age, female sex, higher BMI, and comorbidities predict conversion, impacting hospital designation and insurance claims.

Area of Science:

  • Orthopedic Surgery
  • Health Services Research
  • Patient Outcomes

Background:

  • The Center for Medicare Services (CMS) removed total hip arthroplasty (THA) from the inpatient only (IPO) list, increasing pressure for outpatient (OP) procedures.
  • Understanding factors predicting conversion from OP to inpatient (IP) status is crucial for surgical booking and resource allocation.

Purpose of the Study:

  • To compare THA patients booked as OP who converted to IP status versus those who remained OP.
  • To identify predictive factors for conversion from OP to IP status in THA patients.

Main Methods:

  • Retrospective cohort study of 1,937 primary THA patients between January 1, 2020, and April 26, 2022.
  • Patients were categorized based on OP booking and subsequent conversion to IP status.
  • Multiple regression and binary logistic regression analyses identified significant perioperative and demographic variables.

Main Results:

  • 19.2% (372/1,937) of OP-booked THA patients required IP conversion, showing higher discharge and 90-day readmission rates.
  • Predictors for conversion included age ≥65, female sex, Black/African American race, late recovery room arrival, BMI >30 kg/m², and Charlson Comorbidity Index (CCI) ≥4.
  • Married patients and those undergoing the first procedure of the day were less likely to be converted.

Conclusions:

  • Identifying patients at high risk for OP to IP conversion is essential at surgical booking to prevent insurance claim denials.
  • Key predictive factors include BMI, specific demographic characteristics, CCI ≥4, and age ≥65.
Abstract