Literature DB >> 32628889

Fall definitions, faller classifications and outcomes used in falls research among people with multiple sclerosis: a systematic review.

Nicola O'Malley1, Amanda M Clifford1,2, Laura Comber1, Susan Coote1.   

Abstract

PURPOSE: To identify the definitions of a fall, faller classifications and outcomes used in prospectively-recorded falls research among people with Multiple Sclerosis (MS).
METHODS: A systematic review of peer-reviewed journal articles was conducted using electronic databases. Relevant data were extracted by one reviewer and verified by a second independent reviewer.
RESULTS: Twenty-six papers met the inclusion criteria. A relative degree of heterogeneity existed amongst studies for the outcomes of interest to this review. Thirteen different fall definitions were identified. Fourteen different falls outcomes were used across the included studies, with six of these reported by only one study each. Data regarding injurious falls were presented by only eight papers. The majority (n = 17) of papers classified individuals as a faller if they fell at least once.
CONCLUSIONS: This review highlights the large variation in fall definitions, faller classifications and outcomes used in this research field. This hinders cross-comparison and pooling of data, thereby preventing researchers and clinicians from drawing conclusive findings from existing literature. The creation of an international standard for the definition of a fall, faller classification and falls outcomes would allow for transparent and coordinated falls research for people with MS, facilitating progression in this research field.Implications for rehabilitationFalls are a common occurrence among people with Multiple Sclerosis (MS) resulting in numerous negative consequences.There is large heterogeneity in the definitions, methods and outcomes used in falls research for people with MS.This lack of standardisation prevents the accurate cross-comparison and pooling of data, impeding the identification of falls risk factors and effective falls prevention interventions for people with MS.Consequently, clinicians should interpret the outcomes of falls research for people with MS with caution, particularly when comparing studies regarding falls risk assessments and falls prevention interventions for use in clinical practice.

Entities:  

Keywords:  Multiple Sclerosis; definitions; falls; methodology; outcomes; systematic review

Mesh:

Year:  2020        PMID: 32628889     DOI: 10.1080/09638288.2020.1786173

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  6 in total

1.  Protocol for the development of a core outcome set for evaluating mixed-diagnosis falls prevention interventions for people with Multiple Sclerosis, Parkinson's Disease and stroke.

Authors:  Nicola O'Malley; Susan Coote; Amanda M Clifford
Journal:  HRB Open Res       Date:  2022-05-06

2.  Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders.

Authors:  Rana Zia Ur Rehman; Yuhan Zhou; Silvia Del Din; Lisa Alcock; Clint Hansen; Yu Guan; Tibor Hortobágyi; Walter Maetzler; Lynn Rochester; Claudine J C Lamoth
Journal:  Sensors (Basel)       Date:  2020-12-07       Impact factor: 3.576

3.  Effectiveness of non-pharmacological falls prevention interventions for people with Multiple Sclerosis, Parkinson's Disease and stroke: protocol for an umbrella review.

Authors:  Nicola O'Malley; Amanda M Clifford; Laura Comber; Susan Coote
Journal:  HRB Open Res       Date:  2020-12-01

Review 4.  Effectiveness of interventions to prevent falls for people with multiple sclerosis, Parkinson's disease and stroke: an umbrella review.

Authors:  Nicola O'Malley; Amanda M Clifford; Mairéad Conneely; Bláthín Casey; Susan Coote
Journal:  BMC Neurol       Date:  2021-09-29       Impact factor: 2.474

5.  Reliability and validity of the fall risk self-assessment scale for community-dwelling older people in China: a pilot study.

Authors:  Zhizhuo Wang; Yuetong Rong; Li Gu; Yanyan Yang; Xinmin Du; Mouwang Zhou
Journal:  BMC Geriatr       Date:  2022-04-01       Impact factor: 3.921

6.  Efficacy of Virtual Reality and Exergaming in Improving Balance in Patients With Multiple Sclerosis: A Systematic Review and Meta-Analysis.

Authors:  Dario Calafiore; Marco Invernizzi; Antonio Ammendolia; Nicola Marotta; Francesco Fortunato; Teresa Paolucci; Francesco Ferraro; Claudio Curci; Agnieszka Cwirlej-Sozanska; Alessandro de Sire
Journal:  Front Neurol       Date:  2021-12-10       Impact factor: 4.003

  6 in total

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