We have located links that may give you full text access.
Journal Article
Research Support, Non-U.S. Gov't
Development of the Falls Risk for Older People in the Community (FROP-Com) screening tool.
Age and Ageing 2009 January
BACKGROUND: the aim of this study was to develop a brief screening tool for use in the emergency department (ED), to identify people who require further assessment and management.
METHODS: this prospective study included 344 community-dwelling older people presenting to an ED after a fall. After direct discharge participants had a home-based assessment performed that included the Falls Risk for Older People in the Community (FROP-Com), a comprehensive, yet simple, multifactorial falls risk assessment tool. They were then monitored for falls for 12 months. The items from the FROP-Com assessment tool predictive of falls in a multifactorial logistic regression were used to develop the FROP-Com screen.
RESULTS: the items significantly predictive of falls and combined to form the FROP-Com screen were: falls in the previous 12 months, observation of the person's balance and the need for assistance to perform domestic activities of daily living. At the cut-off with the highest Youden index sensitivity was 67.1% (95% CI 59.9-74.3) and specificity was 66.7% (95% CI 59.8-73.6).
CONCLUSION: the FROP-Com screen has a relatively good capacity to predict falls. It can be used in time-limited situations to classify those at high risk of falls who require more detailed assessment and management.
METHODS: this prospective study included 344 community-dwelling older people presenting to an ED after a fall. After direct discharge participants had a home-based assessment performed that included the Falls Risk for Older People in the Community (FROP-Com), a comprehensive, yet simple, multifactorial falls risk assessment tool. They were then monitored for falls for 12 months. The items from the FROP-Com assessment tool predictive of falls in a multifactorial logistic regression were used to develop the FROP-Com screen.
RESULTS: the items significantly predictive of falls and combined to form the FROP-Com screen were: falls in the previous 12 months, observation of the person's balance and the need for assistance to perform domestic activities of daily living. At the cut-off with the highest Youden index sensitivity was 67.1% (95% CI 59.9-74.3) and specificity was 66.7% (95% CI 59.8-73.6).
CONCLUSION: the FROP-Com screen has a relatively good capacity to predict falls. It can be used in time-limited situations to classify those at high risk of falls who require more detailed assessment and management.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app