Literature DB >> 17481472

Spartanburg Fall Risk Assessment Tool: a simple three-step process.

Cathy Robey-Williams1, Kathy L Rush, Heather Bendyk, Laura Michelle Patton, Debra Chamberlain, Teresa Sparks.   

Abstract

The purpose of this study was to develop a valid, reliable, and user-friendly fall risk assessment tool that is a sensitive predictor for falls in the acute care population. Fall risk factors were determined from extensive review of evidence-based studies available from a PubMed search. Previous falls, medications, and gait were found to be the top three risk factors for predicting a true risk for falls in multiple health care settings. The Spartanburg Fall Risk Assessment Tool (SFRAT) is unique from other fall risk assessment tools in combining intrinsic, patient-related factors, with a direct measure of the patient's functional status. Interrater reliability of the SFRAT using Cohen's kappa was .9008, which reflects almost perfect agreement. The predictability analysis found the SFRAT to be 100% sensitive for falls (27/27) with no false negatives. Specificity was 28% (48/172) with 124 false positives. These false positives may actually reflect patients who were at true risk for fall but were prevented from falling due to effective interventions instituted by the staff providing their care. The SFRAT fall risk assessment is a simple, reliable tool easily incorporated by nurses into their direct care routine.

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Year:  2007        PMID: 17481472     DOI: 10.1016/j.apnr.2006.02.002

Source DB:  PubMed          Journal:  Appl Nurs Res        ISSN: 0897-1897            Impact factor:   2.257


  4 in total

Review 1.  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

2.  Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments.

Authors:  Gwen Costa Jacobsohn; Margaret Leaf; Frank Liao; Apoorva P Maru; Collin J Engstrom; Megan E Salwei; Gerald T Pankratz; Alexis Eastman; Pascale Carayon; Douglas A Wiegmann; Joel S Galang; Maureen A Smith; Manish N Shah; Brian W Patterson
Journal:  Healthc (Amst)       Date:  2021-12-16

3.  Useful methods in preventing accidental falls from the bed in children at the emergency department.

Authors:  Tzu-Hui Tung; Min-Cih Liu; Jia-Yu Yang; Wei-Yiu Syu; Han-Ping Wu
Journal:  Eur J Pediatr       Date:  2009-02-14       Impact factor: 3.183

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

  4 in total

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