Falls in a rehabilitation setting: functional independence and fall risk

Eura Medicophys. 2006 Sep;42(3):179-84.

Abstract

Aim: With this study we wanted to determine the incidence, characteristics and consequences of falls in our rehabilitation setting.

Methods: An observational study was carried out in a rehabilitation setting for postacute orthopedic and neurological inpatients. Three-hundred and twenty patients were enrolled. Falls risk factors (Downton index [DI] and other known parameters), disability (functional independence measure [FIM]) and balance (Berg balance scale [BBS]) were assessed at admission. Falls that occurred during the rehabilitation stay were prospectively classified (St. Louis Older Adult Service and Information System [OASIS] system) and analyzed.

Results: Forty patients experienced a fall (12.5%). The faller group was characterized by a major clinical complexity; 70% of fallers were neurological patients and 30% presented cognitive impairment (mini mental state examination [MMSE] <24). They presented a statistically significant worse score on FIM (motor and cognitive), BBS and DI at admission, with 74% predictability of falls as measured by total FIM score and age. Falls recorded with the OASIS classification showed a prevalence (52.5%) for not bipedal (wheelchair transfer) and self-generated falls; 35% were intrinsic falls (caused by subject-specific factors) and 12.5% extrinsic falls (caused by environmental factors). Falls resulted in only minor clinical consequences, except for one rib fracture, but led to a significant increase in length of stay.

Conclusions: In a rehabilitation centre, for good management of resources and safe prescriptions of a patient's independence in activities of daily living, fall risk is better evaluated with appropriate scales.

MeSH terms

  • Accident Proneness
  • Accidental Falls / statistics & numerical data*
  • Activities of Daily Living
  • Aged
  • Chi-Square Distribution
  • Disability Evaluation
  • Female
  • Humans
  • Incidence
  • Logistic Models
  • Male
  • Middle Aged
  • Postural Balance
  • Rehabilitation Centers*
  • Risk Assessment
  • Risk Factors
  • Statistics, Nonparametric