title: Predicting the risk of falling--efficacy of a risk assessment tool compared to nurses' judgement: a cluster-randomised controlled trial [ISRCTN37794278].
abstract: BACKGROUND
  Older people living in nursing homes are at high risk of falling because of their general frailty and multiple pathologies. Prediction of falls might lead to an efficient allocation of preventive measures. Although several tools to assess the risk of falling have been developed, their impact on clinically relevant endpoints has never been investigated. The present study will evaluate the clinical efficacy and consequences of different fall risk assessment strategies.
  
  
  METHODS
  Cluster-randomised controlled trial with nursing home clusters randomised either to the use of a standard fall risk assessment tool alongside nurses' clinical judgement or to nurses' clinical judgement alone. Standard care of all clusters will be optimised by structured education on best evidence strategies to prevent falls and fall related injuries. 54 nursing home clusters including 1,080 residents will be recruited. Residents must be > or = 70 years, not bedridden, and living in the nursing home for more than three months. The primary endpoint is the number of participants with at least one fall at 12 months. Secondary outcome measures are the number of falls, clinical consequences including side effects of the two risk assessment strategies. Other measures are fall related injuries, hospital admissions and consultations with a physician, and costs.
authors.affiliation: Unit of Health Sciences and Education, University of Hamburg, Martin-Luther-King-Platz 6, D-20146 Hamburg, Germany. Gabriele.Meyer@uni-hamburg.de
authors.forename: Gabriele
authors.initials: G
authors.lastname: Meyer
authors.forename: Sascha
authors.initials: S
authors.lastname: Köpke
authors.forename: Ralf
authors.initials: R
authors.lastname: Bender
authors.forename: Ingrid
authors.initials: I
authors.lastname: Mühlhauser
mesh_terms: D000058:Accidental Falls / Q000517:prevention & control; D000368:Aged; D006801:Humans; D009730:Nursing Assessment; D018570:Risk Assessment