title: How to predict return to the community after fractured proximal femur in the elderly.
abstract: BACKGROUND
  There are numerous studies about morbidity and mortality, technical complications and in-hospital factors after proximal femoral fracture surgery in the elderly. Although experienced clinicians are often able to make an accurate prediction, little information is available about the factors that allow early determination of whether a patient may return to the community. The present study aimed to provide that information and, hence, allow better use of health resources.
  
  
  METHODS
  At Westmead Hospital a prospective study was conducted of 304 patients with a proximal femoral fracture who were previously residing at home. A number of different factors were analysed using statistical methods to determine their effect on outcome, which was defined simply in terms of whether the patient was able to return to the community or whether they needed institutional care.
  
  
  RESULTS
  Factors that had an adverse influence on return to the community were: a low activities of daily living (ADL) score on admission; increasing age; dementia; the use of regional analgesia; and the occurrence of postoperative complications. Other factors such as gender, fracture type, delay to surgery and length of stay were not significant.
  
  
  CONCLUSIONS
  Consideration of the ADL score, age and mental state at the time of admission to hospital is all that is needed to determine return to the community. This is helpful to the patient and their family, and allows an early and appropriate referral pattern to either community services or a nursing home.
authors.affiliation: University of Sydney Department of Surgery, Westmead Hospital, New South Wales, Australia.
authors.forename: A K
authors.initials: AK
authors.lastname: Cree
authors.forename: S
authors.initials: S
authors.lastname: Nade
mesh_terms: D000203:Activities of Daily Living; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000698:Analgesia / Q000379:methods; D016009:Chi-Square Distribution; D003153:Community Health Services; D003704:Dementia / Q000150:complications; D005260:Female; D005265:Femoral Neck Fractures / Q000145:classification / Q000601:surgery / Q000628:therapy*; D005544:Forecasting; D006620:Hip Fractures / Q000145:classification / Q000601:surgery / Q000628:therapy*; D006801:Humans; D007326:Institutionalization; D007902:Length of Stay; D016014:Linear Models; D008297:Male; D015999:Multivariate Analysis; D009735:Nursing Homes; D010351:Patient Discharge; D011183:Postoperative Complications; D011446:Prospective Studies; D012111:Residence Characteristics; D012737:Sex Factors; D013997:Time Factors; D016896:Treatment Outcome