The Nottingham Hip Fracture Score as a predictor of early discharge following fractured neck of femur

Age Ageing. 2012 May;41(3):322-6. doi: 10.1093/ageing/afr142. Epub 2011 Nov 13.

Abstract

Background: hip fracture represents a huge medical, social and financial burden on patients, their carers and the health and social care systems. For survivors, return to their own home may be a key outcome. The Nottingham Hip Fracture Score (NHFS) is a validated score, based on admission characteristics, for predicting 30-day and 1-year mortality that may be of benefit in predicting return-to-home, directly from the acute orthopaedic ward.

Objective: to assess the utility of the NHFS as a predictor of return-to-home in patients following hip fracture.

Methods: the NHFS was calculated for all patients admitted from their own home and the correlation between the NHFS and eventual return-to-home was calculated, as well as the probability of discharge by within 7, 14 and 21 days.

Results: a total of 6,123 patients were available for analysis. Of which, 3,699 (60%) were discharged from acute hospital to their own home. Increasing NHFS was negatively correlated with eventual return-to-home (r(2) = 0.949) and with the proportion of patients discharged back to their own home at 7, 14 and 21 postoperative days, respectively (r(2) = 0.84, 0.94, 0.96, respectively).

Conclusions: the NHFS is a reliable tool for predicting return-to-home. It may be useful for discharge planning, and for the design of future research trials.

Publication types

  • Evaluation Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Assisted Living Facilities
  • England
  • Female
  • Health Status Indicators*
  • Hip Fractures / diagnosis*
  • Hip Fractures / mortality
  • Hip Fractures / surgery
  • Home Care Services* / statistics & numerical data
  • Homes for the Aged
  • Humans
  • Length of Stay
  • Male
  • Nursing Homes
  • Patient Discharge* / statistics & numerical data
  • Predictive Value of Tests
  • Residential Facilities* / statistics & numerical data
  • Risk Assessment
  • Risk Factors
  • Time Factors
  • Treatment Outcome