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The Berg Balance Scale as a clinical screening tool to predict fall risk in older adults: a systematic review
Authors:C.A. Lima  N.A. Ricci  E.C. Nogueira  M.R. Perracini
Affiliation:1. Master’s and Doctoral Programs in Physical Therapy, Universidade Cidade de São Paulo, São Paulo, Brazil;2. Master’s and Doctoral Programs in Gerontology, Faculty of Medicine, Universidade Estadual de Campinas, São Paulo, Brazil
Abstract:

Background

The Berg Balance Scale (BBS) is often used in clinical practice to predict falls in the older adults. However, there is no consensus in research regarding its ability to predict falls.

Objective

To verify whether the BBS can predict falls risk in older adults.

Data source

Manual and electronic searches (Medline, EMBASE, CINAHL, Ageline, Lilacs, Web of Science, Cochrane Library and PEDro) were conducted using blocks of words (older adults, falls, BBS, study design) and their synonyms, with no language restrictions and published since 1989.

Study selection criteria

Prognostic studies or clinical trials were used to assess the BBS and falls history.

Data extraction and data synthesis

In this narrative synthesis, two independent assessors extracted data from articles and a third reviewer provided consensus, in case of disagreement. The methodological quality was assessed using the Quality In Prognosis Studies tool.

Results

1047 studies were found and 8 studies were included in this review. The mean BBS score was high, regardless of the history of falls. Three studies presented cut-off scores for BBS, ranging from 45 to 51 points. Two studies reported a difference in the BBS score between fallers and non-fallers. Studies presented low to moderate risk of bias.

Limitations

Unfeasible to conduct a meta-analysis due the heterogeneity of included studies.

Conclusion

The evidence to support the use of BBS to predict falls is insufficient, and should not be used alone to determine the risk of falling in older adults.

Systematic review registration number

PROSPERO CRD42016032309.
Keywords:falls  prediction  assessment  older adults  balance
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