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An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment
Continuous monitoring by wearable technology is ideal for quantifying mobility outcomes in “real-world” conditions. Concurrent factors such as validity, usability, and acceptability of such technology need to be accounted for when choosing a monitoring device. This study proposes a bespoke methodolo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696193/ https://www.ncbi.nlm.nih.gov/pubmed/33202608 http://dx.doi.org/10.3390/s20226509 |
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author | Bonci, Tecla Keogh, Alison Del Din, Silvia Scott, Kirsty Mazzà, Claudia |
author_facet | Bonci, Tecla Keogh, Alison Del Din, Silvia Scott, Kirsty Mazzà, Claudia |
author_sort | Bonci, Tecla |
collection | PubMed |
description | Continuous monitoring by wearable technology is ideal for quantifying mobility outcomes in “real-world” conditions. Concurrent factors such as validity, usability, and acceptability of such technology need to be accounted for when choosing a monitoring device. This study proposes a bespoke methodology focused on defining a decision matrix to allow for effective decision making. A weighting system based on responses (n = 69) from a purpose-built questionnaire circulated within the IMI Mobilise-D consortium and its external collaborators was established, accounting for respondents’ background and level of expertise in using wearables in clinical practice. Four domains (concurrent validity, CV; human factors, HF; wearability and usability, WU; and data capture process, CP), associated evaluation criteria, and scores were established through literature research and group discussions. While the CV was perceived as the most relevant domain (37%), the others were also considered highly relevant (WU: 30%, HF: 17%, CP: 16%). Respondents (~90%) preferred a hidden fixation and identified the lower back as an ideal sensor location for mobility outcomes. Overall, this study provides a novel, holistic, objective, as well as a standardized approach accounting for complementary aspects that should be considered by professionals and researchers when selecting a solution for continuous mobility monitoring. |
format | Online Article Text |
id | pubmed-7696193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76961932020-11-29 An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment Bonci, Tecla Keogh, Alison Del Din, Silvia Scott, Kirsty Mazzà, Claudia Sensors (Basel) Article Continuous monitoring by wearable technology is ideal for quantifying mobility outcomes in “real-world” conditions. Concurrent factors such as validity, usability, and acceptability of such technology need to be accounted for when choosing a monitoring device. This study proposes a bespoke methodology focused on defining a decision matrix to allow for effective decision making. A weighting system based on responses (n = 69) from a purpose-built questionnaire circulated within the IMI Mobilise-D consortium and its external collaborators was established, accounting for respondents’ background and level of expertise in using wearables in clinical practice. Four domains (concurrent validity, CV; human factors, HF; wearability and usability, WU; and data capture process, CP), associated evaluation criteria, and scores were established through literature research and group discussions. While the CV was perceived as the most relevant domain (37%), the others were also considered highly relevant (WU: 30%, HF: 17%, CP: 16%). Respondents (~90%) preferred a hidden fixation and identified the lower back as an ideal sensor location for mobility outcomes. Overall, this study provides a novel, holistic, objective, as well as a standardized approach accounting for complementary aspects that should be considered by professionals and researchers when selecting a solution for continuous mobility monitoring. MDPI 2020-11-14 /pmc/articles/PMC7696193/ /pubmed/33202608 http://dx.doi.org/10.3390/s20226509 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bonci, Tecla Keogh, Alison Del Din, Silvia Scott, Kirsty Mazzà, Claudia An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment |
title | An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment |
title_full | An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment |
title_fullStr | An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment |
title_full_unstemmed | An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment |
title_short | An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment |
title_sort | objective methodology for the selection of a device for continuous mobility assessment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696193/ https://www.ncbi.nlm.nih.gov/pubmed/33202608 http://dx.doi.org/10.3390/s20226509 |
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