Development of a Fall Risk Assessment Tool for a Hong Kong Hospital

2.50
Hdl Handle:
http://hdl.handle.net/10755/148170
Type:
Presentation
Title:
Development of a Fall Risk Assessment Tool for a Hong Kong Hospital
Abstract:
Development of a Fall Risk Assessment Tool for a Hong Kong Hospital
Conference Sponsor:Sigma Theta Tau International
Conference Year:2003
Author:Chow, Meyrick C.M., MA
P.I. Institution Name:The Hong Kong Polytechnic University
Title:Clinical Associate
Co-Authors:Lung-sing Tsui, BSN; Karen Lam, BScHC
Background: Patient falls are one of the most serious problems facing health care institutions in Hong Kong. Fall can result in lengthened hospital stay, increased medical costs, and threats to the well being of patients. A review of fall risk assessment tools which are currently being used in different hospitals in Hong Kong showed that basically they were either developed or adopted by staff members after literature review. The value of these tools was often questionable since they were neither scientifically tested nor validated. A review of fall literature has shown that quite a large number of fall predicting factors have been identified by various authors and there was no locally validated fall assessment tool available in Hong Kong. Therefore, the objectives of our study were to develop a fall risk assessment tool and to test its validity in predicting falls in a regional acute hospital in Hong Kong. Method & Result: A prospective case-control study was conducted in the 1,405 beds regional acute hospital. An instrument developed by the researcher that included information of patient demographics, fall incidences, and 26 key predictors identified in the literature review was used for data collection. Within 48 hours of each fall, the patient and the primary nurse were interviewed and the case notes reviewed. The sample consisted of 98 cases (fall) and 98 controls (nonfall), matched for the duration of stay and specialty unit. Logistic regression was used to develop a multivariate risk factor model with four risk factors. The significant risk factors were confusion, depression, dizziness, and mobility. The adjusted relative risks of these significant risk factors were converted to risk points to be used for assessing patients’ fall risk. Within the data set, a sensitivity of 93%, a specificity of 37%, and a predictive value of 59% were calculated.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleDevelopment of a Fall Risk Assessment Tool for a Hong Kong Hospitalen_GB
dc.identifier.urihttp://hdl.handle.net/10755/148170-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Development of a Fall Risk Assessment Tool for a Hong Kong Hospital</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2003</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Chow, Meyrick C.M., MA</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">The Hong Kong Polytechnic University</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Clinical Associate</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">hsmchow@polyu.edu.hk</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Lung-sing Tsui, BSN; Karen Lam, BScHC</td></tr><tr><td colspan="2" class="item-abstract">Background: Patient falls are one of the most serious problems facing health care institutions in Hong Kong. Fall can result in lengthened hospital stay, increased medical costs, and threats to the well being of patients. A review of fall risk assessment tools which are currently being used in different hospitals in Hong Kong showed that basically they were either developed or adopted by staff members after literature review. The value of these tools was often questionable since they were neither scientifically tested nor validated. A review of fall literature has shown that quite a large number of fall predicting factors have been identified by various authors and there was no locally validated fall assessment tool available in Hong Kong. Therefore, the objectives of our study were to develop a fall risk assessment tool and to test its validity in predicting falls in a regional acute hospital in Hong Kong. Method &amp; Result: A prospective case-control study was conducted in the 1,405 beds regional acute hospital. An instrument developed by the researcher that included information of patient demographics, fall incidences, and 26 key predictors identified in the literature review was used for data collection. Within 48 hours of each fall, the patient and the primary nurse were interviewed and the case notes reviewed. The sample consisted of 98 cases (fall) and 98 controls (nonfall), matched for the duration of stay and specialty unit. Logistic regression was used to develop a multivariate risk factor model with four risk factors. The significant risk factors were confusion, depression, dizziness, and mobility. The adjusted relative risks of these significant risk factors were converted to risk points to be used for assessing patients&rsquo; fall risk. Within the data set, a sensitivity of 93%, a specificity of 37%, and a predictive value of 59% were calculated.</td></tr></table>en_GB
dc.date.available2011-10-26T09:41:18Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T09:41:18Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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