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Feasibility and Acceptability of the Technology-Based Fall Risk Assessments for Older Adults

Promising technologies, which are simple, portable, quick, non-invasive, and inexpensive, may open new horizons on fall risk assessments and provide important information for older adults. We used a mixed-methods approach to examine the feasibility and acceptability of technology-based fall risk ass...

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Autores principales: Thiamwong, Ladda, Garcia, Oscar, Choudhury, Renoa, Park, Joon-Hyuk, Stout, Jeffrey, Xie, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8682351/
http://dx.doi.org/10.1093/geroni/igab046.3598
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author Thiamwong, Ladda
Garcia, Oscar
Choudhury, Renoa
Park, Joon-Hyuk
Stout, Jeffrey
Xie, Rui
author_facet Thiamwong, Ladda
Garcia, Oscar
Choudhury, Renoa
Park, Joon-Hyuk
Stout, Jeffrey
Xie, Rui
author_sort Thiamwong, Ladda
collection PubMed
description Promising technologies, which are simple, portable, quick, non-invasive, and inexpensive, may open new horizons on fall risk assessments and provide important information for older adults. We used a mixed-methods approach to examine the feasibility and acceptability of technology-based fall risk assessments, including the BTrackS Balance System, Bioelectrical Impedance Analysis, and activity monitoring devices among older adults. Data were collected via a Qualtrics survey and interviews. The acceptability was measured by the Senior Technology Acceptance (STA) and semi-structured interviews with 15 participants. The STA consists of four domains with 14 items, and the semi-structured interview includes three main questions related to experiences about balance performance tests, body composition, and activity monitoring. One hundred twenty-four community-dwelling older adults completed the online survey, and 15 older adults participated in the interviews. The majority of participants were female, and 72% had no history of falls. Race and ethnicity were 17% Hispanic, 7% African Americans, and 3% Asian Americans. About 7% had COVID-19 positive, 31% reported fear of COVID, and 14.5% were afraid of losing their life to COVID. The word-of-mouth strategy and key person approach were used and had an incredible impact on the recruitment process. None of the participants had ever had their fall risk and fear of falling assessed before agreeing to participate in this study. The technology-based fall risk assessments were feasible and acceptable. About 78% of participants liked the idea of using technology to assess falls risk, and 79% agreed that using technology would enhance their effectiveness in daily activities.
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spelling pubmed-86823512021-12-20 Feasibility and Acceptability of the Technology-Based Fall Risk Assessments for Older Adults Thiamwong, Ladda Garcia, Oscar Choudhury, Renoa Park, Joon-Hyuk Stout, Jeffrey Xie, Rui Innov Aging Abstracts Promising technologies, which are simple, portable, quick, non-invasive, and inexpensive, may open new horizons on fall risk assessments and provide important information for older adults. We used a mixed-methods approach to examine the feasibility and acceptability of technology-based fall risk assessments, including the BTrackS Balance System, Bioelectrical Impedance Analysis, and activity monitoring devices among older adults. Data were collected via a Qualtrics survey and interviews. The acceptability was measured by the Senior Technology Acceptance (STA) and semi-structured interviews with 15 participants. The STA consists of four domains with 14 items, and the semi-structured interview includes three main questions related to experiences about balance performance tests, body composition, and activity monitoring. One hundred twenty-four community-dwelling older adults completed the online survey, and 15 older adults participated in the interviews. The majority of participants were female, and 72% had no history of falls. Race and ethnicity were 17% Hispanic, 7% African Americans, and 3% Asian Americans. About 7% had COVID-19 positive, 31% reported fear of COVID, and 14.5% were afraid of losing their life to COVID. The word-of-mouth strategy and key person approach were used and had an incredible impact on the recruitment process. None of the participants had ever had their fall risk and fear of falling assessed before agreeing to participate in this study. The technology-based fall risk assessments were feasible and acceptable. About 78% of participants liked the idea of using technology to assess falls risk, and 79% agreed that using technology would enhance their effectiveness in daily activities. Oxford University Press 2021-12-17 /pmc/articles/PMC8682351/ http://dx.doi.org/10.1093/geroni/igab046.3598 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Thiamwong, Ladda
Garcia, Oscar
Choudhury, Renoa
Park, Joon-Hyuk
Stout, Jeffrey
Xie, Rui
Feasibility and Acceptability of the Technology-Based Fall Risk Assessments for Older Adults
title Feasibility and Acceptability of the Technology-Based Fall Risk Assessments for Older Adults
title_full Feasibility and Acceptability of the Technology-Based Fall Risk Assessments for Older Adults
title_fullStr Feasibility and Acceptability of the Technology-Based Fall Risk Assessments for Older Adults
title_full_unstemmed Feasibility and Acceptability of the Technology-Based Fall Risk Assessments for Older Adults
title_short Feasibility and Acceptability of the Technology-Based Fall Risk Assessments for Older Adults
title_sort feasibility and acceptability of the technology-based fall risk assessments for older adults
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8682351/
http://dx.doi.org/10.1093/geroni/igab046.3598
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