Relative survival after hospitalisation for hip fracture in older people in New South Wales, Australia

Osteoporos Int. 2009 Feb;20(2):221-9. doi: 10.1007/s00198-008-0641-z. Epub 2008 Jun 7.


Survival after hospitalisation for hip fracture by age group and sex relative to survival in the general population was assessed in people aged 65+. Men had double the risk of death compared with women to 1 year, but age effects lasted only to 3 months. Clinical outcomes need to be improved.

Introduction: We assessed the relative survival of hospitalised fall-related hip fracture patients aged 65+ years leaving hospital in New South Wales, Australia, between July 2000 and December 2003.

Method: We carried out a population-based study of all hospital separations for NSW residents with a principal diagnosis of hip fracture (ICD-10-AM S72.0 to S72.2) and first external cause of fall (ICD-10-AM codes W00 to W19), linked to NSW death data. A total of 16,836 cases were included. Relative survival 3 to 36 months post-admission by 10-year age groups and sex was calculated, using NSW life tables for 2002-2004. Relative excess risk was modelled using a generalised linear model with Poisson error structure, using the life table data.

Results: One-year cumulative relative survival in 65- to 74-year-olds was 82% (men), 90% (women); in 85+-year-olds 65% (men), 80% (women). Men have a relative excess risk of death of 2.2 (95% CI 2.03-2.38) times that of women. Only 21% of deaths mention the hip fracture as contributing to death.

Conclusion: There is a need to reduce the number of hip fractures and improve clinical outcomes for older people hospitalised with hip fractures.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidental Falls / statistics & numerical data
  • Age Distribution
  • Aged
  • Aged, 80 and over
  • Female
  • Frail Elderly
  • Hip Fractures / epidemiology
  • Hip Fractures / mortality*
  • Hospitalization / statistics & numerical data
  • Humans
  • Life Tables
  • Linear Models
  • Male
  • New South Wales / epidemiology
  • Risk
  • Sex Distribution
  • Survival Rate