Literature DB >> 28843965

A systematic review of balance and fall risk assessments with mobile phone technology.

Kathleen L Roeing1, Katherine L Hsieh1, Jacob J Sosnoff2.   

Abstract

Falls are a major health concern for older adults. Preventative measures can help reduce the incidence and severity of falls. Methods for assessing balance and fall risk factors are necessary to effectively implement preventative measures. Research groups are currently developing mobile applications to enable seniors, caregivers, and clinicians to monitor balance and fall risk. The following systematic review assesses the current state of mobile health apps for testing balance as a fall risk factor. Thirteen studies were identified and included in the review and analyzed based on study design, population, sample size, measures of balance, main outcome measures, and evaluation of validity and reliability. All studies successfully tested their applications, but only 38% evaluated the validity, and 23% evaluated the reliability of their applications. Of those, all applications were found to accurately and reliably measure balance on select variables. Four of the 13 studies included special populations groups. Out of the 13 studies, 12 reported clinicians as their intended user and seven reported seniors as their intended user. Further research should examine the validity of mobile health applications as well as report on the application's usability.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aging; Balance; Fall risk; Older adults; Smartphone; Systematic review

Mesh:

Year:  2017        PMID: 28843965     DOI: 10.1016/j.archger.2017.08.002

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   3.250


  14 in total

Review 1.  Smartphone Applications to Perform Body Balance Assessment: a Standardized Review.

Authors:  Jose A Moral-Munoz; Bernabe Esteban-Moreno; Enrique Herrera-Viedma; Manuel J Cobo; Ignacio J Pérez
Journal:  J Med Syst       Date:  2018-05-29       Impact factor: 4.460

2.  Validity and Reliability of Smartphone App for Evaluating Postural Adjustments during Step Initiation.

Authors:  Anderson Antunes da Costa Moraes; Manuela Brito Duarte; Eduardo Veloso Ferreira; Gizele Cristina da Silva Almeida; Enzo Gabriel da Rocha Santos; Gustavo Henrique Lima Pinto; Paulo Rui de Oliveira; César Ferreira Amorim; André Dos Santos Cabral; Anselmo de Athayde Costa E Silva; Givago Silva Souza; Bianca Callegari
Journal:  Sensors (Basel)       Date:  2022-04-12       Impact factor: 3.847

3.  Feasibility and acceptability study on the use of a smartphone application to facilitate balance training in the ageing population.

Authors:  Enrica Papi; Shin-Yi Chiou; Alison H McGregor
Journal:  BMJ Open       Date:  2020-12-02       Impact factor: 2.692

4.  The Validity, Reliability, and Sensitivity of a Smartphone-Based Seated Postural Control Assessment in Wheelchair Users: A Pilot Study.

Authors:  Mikaela L Frechette; Libak Abou; Laura A Rice; Jacob J Sosnoff
Journal:  Front Sports Act Living       Date:  2020-12-17

5.  Evaluation of Concurrent Validity between a Smartphone Self-Test Prototype and Clinical Instruments for Balance and Leg Strength.

Authors:  Linda Mansson; Pernilla Bäckman; Fredrik Öhberg; Jonas Sandlund; Jonas Selling; Marlene Sandlund
Journal:  Sensors (Basel)       Date:  2021-03-04       Impact factor: 3.576

Review 6.  Novel sensing technology in fall risk assessment in older adults: a systematic review.

Authors:  Ruopeng Sun; Jacob J Sosnoff
Journal:  BMC Geriatr       Date:  2018-01-16       Impact factor: 3.921

7.  Impact of Visual Biofeedback of Trunk Sway Smoothness on Motor Learning during Unipedal Stance.

Authors:  Carlos Cruz-Montecinos; Antonio Cuesta-Vargas; Cristian Muñoz; Dante Flores; Joseph Ellsworth; Carlos De la Fuente; Joaquín Calatayud; Gonzalo Rivera-Lillo; Verónica Soto-Arellano; Claudio Tapia; Xavier García-Massó
Journal:  Sensors (Basel)       Date:  2020-05-01       Impact factor: 3.576

8.  "Text It" program to track falls in patients with Alzheimer's disease and dementia.

Authors:  Rebecca J Kamil; Dara Bakar; Matthew Ehrenburg; Scott Frankenthaler; Eric X Wei; Eric Anson; Esther Oh; Yuri Agrawal
Journal:  Alzheimers Dement (N Y)       Date:  2018-04-07

Review 9.  Wearable Inertial Sensors to Assess Standing Balance: A Systematic Review.

Authors:  Marco Ghislieri; Laura Gastaldi; Stefano Pastorelli; Shigeru Tadano; Valentina Agostini
Journal:  Sensors (Basel)       Date:  2019-09-20       Impact factor: 3.576

10.  Enabling Older Adults' Health Self-Management through Self-Report and Visualization-A Systematic Literature Review.

Authors:  Gabriela Cajamarca; Valeria Herskovic; Pedro O Rossel
Journal:  Sensors (Basel)       Date:  2020-08-04       Impact factor: 3.576

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