Assessment of frailty: a survey of quantitative and clinical methods.

ADL Balance assessment Frailty assessment Gait analysis Sensor technology

Journal

BMC biomedical engineering
ISSN: 2524-4426
Titre abrégé: BMC Biomed Eng
Pays: England
ID NLM: 101756092

Informations de publication

Date de publication:
2019
Historique:
received: 14 10 2018
accepted: 25 02 2019
entrez: 9 9 2020
pubmed: 18 3 2019
medline: 18 3 2019
Statut: epublish

Résumé

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. 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. 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.

Sections du résumé

BACKGROUND 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 32903310
doi: 10.1186/s42490-019-0007-y
pii: 7
pmc: PMC7422496
doi:

Types de publication

Journal Article

Langues

eng

Pagination

7

Informations de copyright

© The Author(s) 2019.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare that they have no competing interests.

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Auteurs

Yasmeen Naz Panhwar (YN)

University of Wollongong, Wollongong, Australia.

Fazel Naghdy (F)

University of Wollongong, Wollongong, Australia.

Golshah Naghdy (G)

University of Wollongong, Wollongong, Australia.

David Stirling (D)

University of Wollongong, Wollongong, Australia.

Janette Potter (J)

University of Wollongong, Wollongong, Australia.
Illawarra Health and Medical Research Institute, Wollongong, Australia.

Classifications MeSH