Literature DB >> 21223413

Testing the sensitivity, specificity and feasibility of four falls risk assessment tools in a clinical setting.

Joanne Chapman1, Deborah Bachand, Kristiina Hyrkäs.   

Abstract

AIM: This paper reports on a study undertaken to test the sensitivity, specificity and feasibility of four fall risk assessment tools.
BACKGROUND: Falls risk assessment tools have been developed based on literature and findings from empirical studies, but the instruments often lack further testing in the clinical setting.
METHOD: Four falls risk assessment tools were tested simultaneously in this study. The data was collected in May-June 2006. All assessment tools were completed on a total of 1546 patients. Descriptive statistics were used for data analysis.
RESULTS: The use of the instruments was moderately consistent among registered nurses, but the education provided did not entirely eliminate problems with accuracy. The sensitivity of the instruments was 57.1-100% and specificity was 24.9-69.3%.
CONCLUSION: The sensitivity and specificity of the instruments are important factors to consider when choosing an instrument. However, the strategies to educate staff and to intervene appropriately are equally important for an organization undertaking a proactive stance in mitigating the risk of falls. IMPLICATIONS FOR NURSING MANAGEMENT: It is important for managers to test instruments in their own organizations and specific populations. It is also critical to carefully assess that the chosen instrument is easy and accurate in use.
© 2011 The Authors. Journal compilation © 2011 Blackwell Publishing Ltd.

Entities:  

Mesh:

Year:  2011        PMID: 21223413     DOI: 10.1111/j.1365-2834.2010.01218.x

Source DB:  PubMed          Journal:  J Nurs Manag        ISSN: 0966-0429            Impact factor:   3.325


  8 in total

1.  Pro-Active Fall-Risk Management is Mandatory to Sustain in Hospital-Fall Prevention in Older Patients--Validation of the LUCAS Fall-Risk Screening in 2,337 Patients.

Authors:  V S Hoffmann; L Neumann; S Golgert; W von Renteln-Kruse
Journal:  J Nutr Health Aging       Date:  2015-12       Impact factor: 4.075

Review 2.  Predicting geriatric falls following an episode of emergency department care: a systematic review.

Authors:  Christopher R Carpenter; Michael S Avidan; Tanya Wildes; Susan Stark; Susan A Fowler; Alexander X Lo
Journal:  Acad Emerg Med       Date:  2014-10-07       Impact factor: 3.451

3.  In-hospital fall-risk screening in 4,735 geriatric patients from the LUCAS project.

Authors:  L Neumann; V S Hoffmann; S Golgert; J Hasford; W Von Renteln-Kruse
Journal:  J Nutr Health Aging       Date:  2013-03       Impact factor: 4.075

Review 4.  Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis.

Authors:  Marta Aranda-Gallardo; Jose M Morales-Asencio; Jose C Canca-Sanchez; Silvia Barrero-Sojo; Claudia Perez-Jimenez; Angeles Morales-Fernandez; Margarita Enriquez de Luna-Rodriguez; Ana B Moya-Suarez; Ana M Mora-Banderas
Journal:  BMC Health Serv Res       Date:  2013-04-02       Impact factor: 2.655

5.  Feasibility and predictive performance of the Hendrich Fall Risk Model II in a rehabilitation department: a prospective study.

Authors:  Isabella Campanini; Stefano Mastrangelo; Annalisa Bargellini; Agnese Bassoli; Gabriele Bosi; Francesco Lombardi; Stefano Tolomelli; Mirco Lusuardi; Andrea Merlo
Journal:  BMC Health Serv Res       Date:  2018-01-11       Impact factor: 2.655

6.  Evaluating a Two-Level vs. Three-Level Fall Risk Screening Algorithm for Predicting Falls Among Older Adults.

Authors:  Thelma J Mielenz; Sneha Kannoth; Haomiao Jia; Kristin Pullyblank; Julie Sorensen; Paul Estabrooks; Judy A Stevens; David Strogatz
Journal:  Front Public Health       Date:  2020-08-13

7.  Testing of Reliability and Validity of the Peninsula Health Falls Risk Assessment Tool (PHFRAT) in Acute Care: A Cross-Sectional Study.

Authors:  Anniina Heikkilä; Lasse Lehtonen; Jari Haukka; Satu Havulinna; Kristiina Junttila
Journal:  Risk Manag Healthc Policy       Date:  2021-11-19

8.  Walking orientation randomness metric (WORM) score: pilot study of a novel gait parameter to assess walking stability and discriminate fallers from non-fallers using wearable sensors.

Authors:  Ralph Jasper Mobbs; Pragadesh Natarajan; R Dineth Fonseka; Callum Betteridge; Daniel Ho; Redmond Mobbs; Luke Sy; Monish Maharaj
Journal:  BMC Musculoskelet Disord       Date:  2022-03-29       Impact factor: 2.362

  8 in total

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