title: An investigation of factors predictive of independence in transfers and ambulation after hip fracture.
abstract: OBJECTIVE
  To compare the predictive value of measurements of mobility on the second day postsurgery with previously established outcome predictors after hip fracture and to establish a statistical model for the prediction of independence in transfers and ambulation.
  
  
  METHODS
  Prospective, validation cohort study.
  
  
  METHODS
  Primary care center.
  
  
  METHODS
  Two samples of 50 patients admitted with primary diagnosis of hip fracture.
  
  
  METHODS
  Not applicable.
  
  
  METHODS
  Independence in transfers and ambulation within 2 weeks of surgery. Predictor variables considered were age, mental state, prefracture mobility, and 4 measurements of transfers and ambulation on the second day postsurgery.
  
  
  RESULTS
  In bivariate logistic regression analysis, all variables were significant predictors. In multiple logistic regression analysis, only distance walked and assistance required in transferring supine to sitting on day 2 postsurgery were significant. The multiple logistic regression model produced from the analysis had an outcome classification accuracy of 88% when tested on an independent sample.
  
  
  CONCLUSIONS
  Measurements of mobility on day 2 postsurgery are significant and reliable predictors of independence in transfers and ambulation. Further consideration of the variables age, mental state, and prefracture mobility do not appear to improve the accuracy of the prediction.
authors.affiliation: Physiotherapy Department, Dandenong Hospital, Victoria, Australia. rossduke@ozemail.com.au
authors.forename: Ross G
authors.initials: RG
authors.lastname: Duke
authors.forename: Jennifer L
authors.initials: JL
authors.lastname: Keating
mesh_terms: D000203:Activities of Daily Living; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006620:Hip Fractures / Q000175:diagnosis / Q000534:rehabilitation* / Q000601:surgery; D006801:Humans; D007902:Length of Stay; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D010351:Patient Discharge; D011237:Predictive Value of Tests; D011379:Prognosis; D011446:Prospective Studies; D016138:Walking