Literature DB >> 10476130

Comparison of three instruments in predicting accidental falls in selected inpatients in a general teaching hospital.

D J Eagle1, S Salama, D Whitman, L A Evans, E Ho, J Olde.   

Abstract

Accidental patient falls are becoming a major cause of concern for hospitalized inpatients. It is well known that patients who fall once during their hospital stay are more likely to fall again and that fall rates tend to be higher in hospitalized elderly individuals. Concerned health care team personnel recognize that many accidental patient falls may be predicted and, thus, prevented. The best tool to predict falls has not been determined yet. The purpose of this study was to compare the abilities of the Morse Fall Scale (MFS), the Functional Reach (FR) test, and the nurses' clinical judgment in predicting those inpatients on a rehabilitation unit and a geriatric medical ward who were most likely to fall. A total of 98 patients were screened in a 3-month period, with each patient undergoing all three instruments the same day. The results showed that the two objective standardized tests (i.e., MFS, FR) were time consuming and often inconvenient and were no better at prediction than the clinical judgments made by the primary nurses.

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Year:  1999        PMID: 10476130     DOI: 10.3928/0098-9134-19990701-14

Source DB:  PubMed          Journal:  J Gerontol Nurs        ISSN: 0098-9134            Impact factor:   1.254


  6 in total

1.  Simple balance and mobility tests can assess falls risk when cognition is impaired.

Authors:  Kathryn A McMichael; Joni Vander Bilt; Laurie Lavery; Eric Rodriguez; Mary Ganguli
Journal:  Geriatr Nurs       Date:  2008 Sep-Oct       Impact factor: 2.361

2.  World Health Organization fracture risk assessment tool in the assessment of fractures after falls in hospital.

Authors:  Shin-ichi Toyabe
Journal:  BMC Health Serv Res       Date:  2010-04-27       Impact factor: 2.655

Review 3.  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.  Predicting the risk of falling--efficacy of a risk assessment tool compared to nurses' judgement: a cluster-randomised controlled trial [ISRCTN37794278].

Authors:  Gabriele Meyer; Sascha Köpke; Ralf Bender; Ingrid Mühlhauser
Journal:  BMC Geriatr       Date:  2005-11-10       Impact factor: 3.921

5.  Falls screening and assessment tools used in acute mental health settings: a review of policies in England and Wales.

Authors:  V Narayanan; A Dickinson; C Victor; C Griffiths; D Humphrey
Journal:  Physiotherapy       Date:  2015-07-09       Impact factor: 3.358

6.  Fall prediction using decision tree analysis in acute care units.

Authors:  Shuntaro Tamura; Makoto Kobayashi; Yasuyuki Saito; Tomoyuki Asakura; Shigeru Usuda
Journal:  J Phys Ther Sci       Date:  2020-11-11
  6 in total

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