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|Title:||An evaluation of the predictive accuracy and usability of a rehabilitation-specific falls assessment tool.|
|Epworth Authors:||Shkuratova, Nataliya|
Epworth HealthCare Rehabilitation, Victoria, Australia.
Epworth Deakin Centre for Clinical Nursing Research, Epworth Health Care, Australia.
|Conference:||Research Week 2016|
|Conference Location:||Epworth Research Instistute, Epworth Richmond|
|Abstract:||Objectives: Falls are a major cause of preventable harm for patients within hospital settings. The aim of this project was to evaluate the predictive accuracy of a rehabilitation specific falls risk assessment tool (The SAFER Tool developed by Shkuratova). Methods: A retrospective audit was conducted to analyse the SAFER tool scores of 45 patients admitted to rehabilitation who had a fall during their admission (cases) with a random sample of 102 patients admitted to the same wards did not fall (controls). Results: The mean age of patients in the falls group was 81(SD11) and in the non-falls group 77(SD12); 25(56%) fallers versus 65 (64%) non-fallers were female . In the falls group (59%) of patients had a history of falls in the past 12 moths versus(46% in the no falls group. Of the patients who experienced a fall, 8 (18%) had dementia or cognitive impairment, and 2(4%) had acute delirium on admission to rehabilitation; no clinically significant cognitive changes were identified in the non-falls group. The Tool found that 25 (56%) fallers versus 29(28%) non fallers required supervision whilst transferring and 29 (64%) fallers versus 31(30%) of non-fallers required supervision whilst mobilising. Patients identified as being in high risk group by the SAFER Tool had a 5-fold increase in the odds of falling during their admission(Odds Ratio 4.8, 95%CI. 2.2 to 10.7, p<0.001). The sensitivity of the SAFER Tool was 78% and the specificity was 58%, with an area under the receiver operating characteristics curve of 0.7(95%CI 0.6 to 0.8). Conclusion: The findings indicate that the rehabilitation specific falls risk assessment tool has a high level of predictive accuracy to identify inpatient falls and that it is a useful tool to direct falls prevention interventions.|
|Affiliated Organisations:||School of Nursing and Midwifery, Deakin University, Melbourne, Australia.|
|Type of Clinical Study or Trial:||Retrospective studies|
|Appears in Collections:||Rehabilitation|
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