TY  - JOUR
PY  - 2010//
TI  - Development of a tool for prediction of falls in rehabilitation settings (Predict_FIRST): a prospective cohort study
JO  - Journal of rehabilitation medicine
A1  - Sherrington, Catherine
A1  - Lord, Stephen R.
A1  - Close, Jacqueline C. T.
A1  - Barraclough, Elizabeth
A1  - Taylor, Matthew
A1  - Oâ Rourke, Sandra
A1  - Kurrle, Susan
A1  - Tiedemann, Anne
A1  - Cumming, Robert G.
A1  - Herbert, Robert D.
SP  - 482
EP  - 488
VL  - 42
IS  - 5
N2  - OBJECTIVE: To develop and internally validate a simple falls prediction tool for rehabilitation settings. DESIGN: Prospective cohort study. PARTICIPANTS: A total of 533 inpatients. METHODS: Possible predictors of falls were collected from medical records, interview and physical assessment. Falls during inpatient stays were monitored. RESULTS: Fourteen percent of participants fell. A multivariate model to predict falls included: male gender (odds ratio (OR) 2.70, 95% confidence interval (CI) 1.57-4.64), central nervous system medications (OR 2.50, 95% CI 1.47-4.25), a fall in the previous 12 months (OR 2.21, 95% CI 1.07-4.56), frequent toileting (OR 2.14, 95% CI 1.27-3.62) and tandem stance inability (OR 2.00, 95% CI 1.11-3.59). The area under the curve for this model was 0.74 (95% CI 0.68-0.80). The Predict_FIRST tool is a unit weighted adaptation of this model (i.e. 1 point allocated for each predictor) and its area under the curve was 0.73 (95% CI 0.68-0.79). Predicted and actual falls risks corresponded closely. CONCLUSION: This tool provides a simple way to quantify the probability with which an individual patient will fall during a rehabilitation stay.<p />  <p>Language: en</p>
LA  - en
SN  - 1650-1977
UR  - http://dx.doi.org/10.2340/16501977-0550
ID  - ref1
ER  -