Patient vs provider characteristics impacting hospital lengths of stay after total knee or hip arthroplasty

J Arthroplasty. 2011 Dec;26(8):1418-26.e1-2. doi: 10.1016/j.arth.2010.11.008. Epub 2011 Jan 28.

Abstract

This study aims to identify whether patient-level or provider-level characteristics are most influential on a patient's length of stay in the acute care hospital. A data set containing a nationally representative sample of inpatient discharge abstracts was used. Multilevel linear regression models were used to evaluate the associations between patient-level and provider-level characteristics on patients' lengths of stay. The target population included 322,894 discharges with a primary procedure code for primary total knee arthroplasty and 193,553 discharges for total hip arthroplasty. The variables associated with the greatest increases in length of stay were a higher comorbidity level among patient level attributes (+17.4%) and low surgeon volume among provider-level characteristics (+18.8%). Provider-level characteristics, particularly provider volume, had a greater impact on length of stay.

Publication types

  • Comparative Study

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Arthroplasty, Replacement, Hip / economics
  • Arthroplasty, Replacement, Hip / statistics & numerical data*
  • Arthroplasty, Replacement, Knee / economics
  • Arthroplasty, Replacement, Knee / statistics & numerical data*
  • Cost-Benefit Analysis
  • Cross-Sectional Studies
  • Female
  • Health Personnel / economics
  • Health Personnel / statistics & numerical data*
  • Hospital Costs / statistics & numerical data
  • Humans
  • Inpatients / statistics & numerical data*
  • Length of Stay / economics
  • Length of Stay / statistics & numerical data*
  • Linear Models
  • Male
  • Middle Aged
  • Models, Theoretical
  • Outcome Assessment, Health Care / economics
  • Outcome Assessment, Health Care / statistics & numerical data
  • Patient Discharge / economics
  • Patient Discharge / statistics & numerical data
  • Young Adult