Assessment of frailty: a survey of quantitative and clinical methods
Abstract Background Frailty assessment is a critical approach in assessing the health status of older people. The clinical tools deployed by geriatricians to assess frailty can be grouped into two categories; using a questionnaire-based method or analyzing the physical performance of the subject. In...
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Format: | Article |
Language: | English |
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BMC
2019-03-01
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Series: | BMC Biomedical Engineering |
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Online Access: | http://link.springer.com/article/10.1186/s42490-019-0007-y |
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author | Yasmeen Naz Panhwar Fazel Naghdy Golshah Naghdy David Stirling Janette Potter |
author_facet | Yasmeen Naz Panhwar Fazel Naghdy Golshah Naghdy David Stirling Janette Potter |
author_sort | Yasmeen Naz Panhwar |
collection | DOAJ |
description | Abstract Background Frailty assessment is a critical approach in assessing the health status of older people. The clinical tools deployed by geriatricians to assess frailty can be grouped into two categories; using a questionnaire-based method or analyzing the physical performance of the subject. In performance analysis, the time taken by a subject to complete a physical task such as walking over a specific distance, typically three meters, is measured. The questionnaire-based method is subjective, and the time-based performance analysis does not necessarily identify the kinematic characteristics of motion and their root causes. However, kinematic characteristics are crucial in measuring the degree of frailty. Results The studies reviewed in this paper indicate that the quantitative analysis of activity of daily living, balance and gait are significant methods for assessing frailty in older people. Kinematic parameters (such as gait speed) and sensor-derived parameters are also strong markers of frailty. Seventeen gait parameters are found to be sensitive for discriminating various frailty levels. Gait velocity is the most significant parameter. Short term monitoring of daily activities is a more significant method for frailty assessment than is long term monitoring and can be implemented easily using clinical tests such as sit to stand or stand to sit. The risk of fall can be considered an outcome of frailty. Conclusion Frailty is a multi-dimensional phenomenon that is defined by various domains; physical, social, psychological and environmental. The physical domain has proven to be essential in the objective determination of the degree of frailty in older people. The deployment of inertial sensor in clinical tests is an effective method for the objective assessment of frailty. |
first_indexed | 2024-04-13T17:33:51Z |
format | Article |
id | doaj.art-07351ba1d45b49d687c3d9eb22d2aa3c |
institution | Directory Open Access Journal |
issn | 2524-4426 |
language | English |
last_indexed | 2024-04-13T17:33:51Z |
publishDate | 2019-03-01 |
publisher | BMC |
record_format | Article |
series | BMC Biomedical Engineering |
spelling | doaj.art-07351ba1d45b49d687c3d9eb22d2aa3c2022-12-22T02:37:27ZengBMCBMC Biomedical Engineering2524-44262019-03-011112010.1186/s42490-019-0007-yAssessment of frailty: a survey of quantitative and clinical methodsYasmeen Naz Panhwar0Fazel Naghdy1Golshah Naghdy2David Stirling3Janette Potter4University of WollongongUniversity of WollongongUniversity of WollongongUniversity of WollongongUniversity of WollongongAbstract Background Frailty assessment is a critical approach in assessing the health status of older people. The clinical tools deployed by geriatricians to assess frailty can be grouped into two categories; using a questionnaire-based method or analyzing the physical performance of the subject. In performance analysis, the time taken by a subject to complete a physical task such as walking over a specific distance, typically three meters, is measured. The questionnaire-based method is subjective, and the time-based performance analysis does not necessarily identify the kinematic characteristics of motion and their root causes. However, kinematic characteristics are crucial in measuring the degree of frailty. Results The studies reviewed in this paper indicate that the quantitative analysis of activity of daily living, balance and gait are significant methods for assessing frailty in older people. Kinematic parameters (such as gait speed) and sensor-derived parameters are also strong markers of frailty. Seventeen gait parameters are found to be sensitive for discriminating various frailty levels. Gait velocity is the most significant parameter. Short term monitoring of daily activities is a more significant method for frailty assessment than is long term monitoring and can be implemented easily using clinical tests such as sit to stand or stand to sit. The risk of fall can be considered an outcome of frailty. Conclusion Frailty is a multi-dimensional phenomenon that is defined by various domains; physical, social, psychological and environmental. The physical domain has proven to be essential in the objective determination of the degree of frailty in older people. The deployment of inertial sensor in clinical tests is an effective method for the objective assessment of frailty.http://link.springer.com/article/10.1186/s42490-019-0007-yFrailty assessmentSensor technologyGait analysisBalance assessmentADL |
spellingShingle | Yasmeen Naz Panhwar Fazel Naghdy Golshah Naghdy David Stirling Janette Potter Assessment of frailty: a survey of quantitative and clinical methods BMC Biomedical Engineering Frailty assessment Sensor technology Gait analysis Balance assessment ADL |
title | Assessment of frailty: a survey of quantitative and clinical methods |
title_full | Assessment of frailty: a survey of quantitative and clinical methods |
title_fullStr | Assessment of frailty: a survey of quantitative and clinical methods |
title_full_unstemmed | Assessment of frailty: a survey of quantitative and clinical methods |
title_short | Assessment of frailty: a survey of quantitative and clinical methods |
title_sort | assessment of frailty a survey of quantitative and clinical methods |
topic | Frailty assessment Sensor technology Gait analysis Balance assessment ADL |
url | http://link.springer.com/article/10.1186/s42490-019-0007-y |
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