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Technology based instruments for predicting falls in older people: An umbrella review

Abstract
Introduction: Technology based instruments (such as wearable sensors) could potentially be an alternative approach to functional measures in predicting falls in older adults. This umbrella review aims to describe the literature on the use of these technological assessments for predicting falls in older people. Method(s): We conducted an umbrella review. Medical and allied health databases were searched from their inception date to November 2020. Inclusion criteria were: all types of reviews; older adults aged >= 60 years in any setting; gait and balance assessment by accelerometers, sensors or platforms to predict falls; published in English. The screening of titles/abstracts (and then full texts) for inclusion, the data extraction using a standardised spreadsheet and the quality appraisal using the Risk of Bias in Systematic Review tool were performed in duplicate. Result(s): Eleven reviews (1 narrative review, 8 systematic review without meta-analysis and 2 systematic reviews with meta-analysis) met the inclusion criteria. Five reviews were considered to have a high risk of bias, 5 an unclear risk of bias and 1 a low risk of bias. Most reviews included independent community-dwelling older people. Kinematic measures were obtained using accelerometers, wearable sensors and platforms. Seven reviews reported some, but not all positive findings in the objective measurements in predicting falls. Three reviews reported inconsistencies in the applicability of the instrumented test for falls prediction. Key conclusions: Objective measures of technology-based instruments demonstrate early potential and warrant further high-quality prospective studies to determine their clinical ability to predict falls in older adults.
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Date
2021
Type
Conference Proceeding
Subject
Falls prevention, Falls risk
Citation
Robinson, K., Jepsen, D., Ogliari, G., Kamkar, N., MonteroOdasso, M., Ryg, J. and Masud, T. (2021) Technology based instruments for predicting falls in older people: An umbrella review. European Geriatric Medicine. Conference: 17th Congress of the European Geriatric Medicine Society. Online. 12(SUPPL 1) (pp S247); Springer, .
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Publisher’s statement
Conference abstract for the poster presented at the 17th Congress of the European Geriatric Medicine Society in Athens, Greece (October 11-13, 2021). Abstract # 621.
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