Literature DB >> 18068819

Fall prevention in assisted living: assessment and strategies.

Ethel Mitty1, Sandi Flores.   

Abstract

Residents in assisted living residences have similar risk factors for falls as do community-residing older adults and, as such, can benefit from the research findings on falls prevention conducted with that population. Some risk factors can be managed, such as, medication side effects, and muscle weakness; others such as degenerative neurological changes, cannot. Knowing a resident's falls history and conducting a full risk assessment, in combination with appropriate interventions, can reduce the probability of a future fall. Exercise appears to be the most effective factor in reducing the risk of falls and injuries from falls. The fear of falling, whether or not associated with a previous fall, is more common among older women and can seriously restrict their quality of life. This article describes evidence-based falls risk assessment instruments and interventions to reduce falls risk. T'ai chi, for example, can reduce falls risk by improving balance. The article describes a standard fall prevention program for older adults that can be part of a resident's care or service plan, criteria for an occurrence report, quality improvement monitoring, and a formula to calculate the residence's monthly falls rate.

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Year:  2007        PMID: 18068819     DOI: 10.1016/j.gerinurse.2007.10.005

Source DB:  PubMed          Journal:  Geriatr Nurs        ISSN: 0197-4572            Impact factor:   2.361


  3 in total

1.  Pain, range of motion and activity level as correlates of dynamic balance among elderly people with musculoskeletal disorder.

Authors:  A I Bello; E Ababio; S Antwi-Baffoe; M A Seidu; D N Adjei
Journal:  Ghana Med J       Date:  2014-12

2.  Potential Implementation of Reactive Balance Training within Continuing Care Retirement Communities.

Authors:  Jessica Aviles; Gwenndolyn C Porter; Paul A Estabrooks; Neil B Alexander; Michael L Madigan
Journal:  Transl J Am Coll Sports Med       Date:  2020-03-15

3.  Fall Detection System for the Elderly Based on the Classification of Shimmer Sensor Prototype Data.

Authors:  Moiz Ahmed; Nadeem Mehmood; Adnan Nadeem; Amir Mehmood; Kashif Rizwan
Journal:  Healthc Inform Res       Date:  2017-07-31
  3 in total

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