Do illness rating systems predict discharge location, length of stay, and cost after total hip arthroplasty?

ABSTRACT:

Background

As procedure rates and expenditures for total hip arthroplasty (THA) rise, hospitals are developing models to predict discharge location, a major determinant of total cost. The predictive value of existing illness rating systems such as the American Society for Anesthesiologists (ASA) Physical Classification System, Severity of Illness (SOI) scoring system, or Mallampati (MP) rating scale on discharge location remains unclear. This study explored the predictive role of ASA, SOI, and MP scores on discharge location, lengths of stay, and total costs for THA patients.

Methods

A retrospective analysis of patients undergoing elective primary or revision THA was conducted at a single institution. Multivariable regressions were utilized to assess the significant predicti

SUBMITTER: Rudasill SE 

PROVIDER: S-EPMC5994639 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature