Literature DB >> 21717922

Falls risk factors and a compendium of falls risk screening instruments.

Jennifer M Fabre1, Rebecca Ellis, Maria Kosma, Robert H Wood.   

Abstract

CLINICAL PROBLEM: Falls are the leading cause of nonfatal injuries and injurious death among older adults; the aftermath of a fall stresses the health care system and places financial and psychological burdens on the patient and family. Because of this, fall prevention/risk reduction is a primary focus of numerous health care agendas. Over the last 2 decades, clinical research has provided clinicians with a variety of screening tools to quantify risk factors for falls. The majority of these measures focus on single domain intraindividual (eg, balance, strength, vision) or extraindividual (eg, home safety) falls risk factors. Some of these single domain instruments are easily introduced and administered by community lay leaders. When a more comprehensive assessment across multiple domains is required, the assessment cannot easily be administered by community program leaders. A physical therapist must determine which instrument, or combination of instruments, best targets risk of falling for a given older adult.
PURPOSE: This integrative review of the literature will provide clinicians and researchers a concise examination of falls risks factors and a compendium of falls risk screening and assessment instruments.
METHODS: Searchable databases, such as Medline and CINAHL were used to identify articles about strategies used for fall risk assessment. Information about measurement properties and characteristics were extracted and are presented in table format.
CONCLUSION: Comparison of recently developed multidimensional and comprehensive screening algorithms for falls risk identification may aid in lowering the rates of false negatives associated with using very specific instruments that screen or assess in only 1 falls risk factor domain.

Entities:  

Mesh:

Year:  2010        PMID: 21717922

Source DB:  PubMed          Journal:  J Geriatr Phys Ther        ISSN: 1539-8412            Impact factor:   3.381


  23 in total

1.  The Effect of Sleep Medication Use and Poor Sleep Quality on Risk of Falls in Community-Dwelling Older Adults in the US: A Prospective Cohort Study.

Authors:  Yaena Min; Cynthia K Kirkwood; Darcy P Mays; Patricia W Slattum
Journal:  Drugs Aging       Date:  2016-02       Impact factor: 3.923

2.  Effects of step length, age, and fall history on hip and knee kinetics and knee co-contraction during the maximum step length test.

Authors:  Brian W Schulz; Manutchanok Jongprasithporn; Stephanie J Hart-Hughes; Tatjana Bulat
Journal:  Clin Biomech (Bristol, Avon)       Date:  2013-08-08       Impact factor: 2.063

3.  One-leg standing time and hip-fracture prediction.

Authors:  H Lundin; M Sääf; L-E Strender; S Nyren; S-E Johansson; H Salminen
Journal:  Osteoporos Int       Date:  2014-02-22       Impact factor: 4.507

4.  Metrics extracted from a single wearable sensor during sit-stand transitions relate to mobility impairment and fall risk in people with multiple sclerosis.

Authors:  Lindsey J Tulipani; Brett Meyer; Dale Larie; Andrew J Solomon; Ryan S McGinnis
Journal:  Gait Posture       Date:  2020-06-20       Impact factor: 2.840

5.  Injury due to mechanical falls: future directions in gender-specific surveillance, screening, and interventions in emergency department patients.

Authors:  Marna R Greenberg; Bryan G Kane; Vicken Y Totten; Neha P Raukar; Elizabeth C Moore; Tracy Sanson; Robert D Barraco; Michael C Nguyen; Federico E Vaca
Journal:  Acad Emerg Med       Date:  2014-12       Impact factor: 3.451

Review 6.  [Comparison of the performance-oriented mobility assessment and the Berg balance scale. Assessment tools in geriatrics and geriatric rehabilitation].

Authors:  S Schülein
Journal:  Z Gerontol Geriatr       Date:  2014-02       Impact factor: 1.281

7.  The Sit-to-Stand Transition as a Biomarker for Impairment: Comparison of Instrumented 30-Second Chair Stand Test and Daily Life Transitions in Multiple Sclerosis.

Authors:  Lindsey J Tulipani; Brett Meyer; Samantha Fox; Andrew J Solomon; Ryan S Mcginnis
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2022-05-16       Impact factor: 4.528

8.  An evaluation of the 30-s chair stand test in older adults: frailty detection based on kinematic parameters from a single inertial unit.

Authors:  Nora Millor; Pablo Lecumberri; Marisol Gómez; Alicia Martínez-Ramírez; Mikel Izquierdo
Journal:  J Neuroeng Rehabil       Date:  2013-08-01       Impact factor: 4.262

9.  Falls in the community: state of the science.

Authors:  Amy L Hester; Feifei Wei
Journal:  Clin Interv Aging       Date:  2013-06-06       Impact factor: 4.458

10.  In the elderly, failure to update internal models leads to over-optimistic predictions about upcoming actions.

Authors:  Gilles Lafargue; Myriam Noël; Marion Luyat
Journal:  PLoS One       Date:  2013-01-09       Impact factor: 3.240

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