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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/22/6509 |
| _version_ | 1797547902084579328 |
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| author | Tecla Bonci Alison Keogh Silvia Del Din Kirsty Scott Claudia Mazzà on behalf of the Mobilise-D consortium |
| author_facet | Tecla Bonci Alison Keogh Silvia Del Din Kirsty Scott Claudia Mazzà on behalf of the Mobilise-D consortium |
| author_sort | Tecla Bonci |
| collection | DOAJ |
| 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 (<i>n</i> = 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. |
| first_indexed | 2024-03-10T14:50:42Z |
| format | Article |
| id | doaj.art-48b4091715cd41febb4a0deecbb934f6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T14:50:42Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-48b4091715cd41febb4a0deecbb934f62023-11-20T20:58:01ZengMDPI AGSensors1424-82202020-11-012022650910.3390/s20226509An Objective Methodology for the Selection of a Device for Continuous Mobility AssessmentTecla Bonci0Alison Keogh1Silvia Del Din2Kirsty Scott3Claudia Mazzà4on behalf of the Mobilise-D consortiumDepartment of Mechanical Engineering & INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sir Frederick Mappin Building, Mappin Street, Sheffield S1 3JD, UKSchool of Public Health, Physiotherapy and Sports Science, University College Dublin, 4 Dublin, IrelandTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE4 5TG, UKDepartment of Mechanical Engineering & INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sir Frederick Mappin Building, Mappin Street, Sheffield S1 3JD, UKDepartment of Mechanical Engineering & INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sir Frederick Mappin Building, Mappin Street, Sheffield S1 3JD, UKContinuous 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 (<i>n</i> = 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.https://www.mdpi.com/1424-8220/20/22/6509wearable technologyreal-world assessmentcontinuous monitoringhealthcare challengesinertial measurement unitsdigital mobility outcomes |
| spellingShingle | Tecla Bonci Alison Keogh Silvia Del Din Kirsty Scott Claudia Mazzà on behalf of the Mobilise-D consortium An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment Sensors wearable technology real-world assessment continuous monitoring healthcare challenges inertial measurement units digital mobility outcomes |
| 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 | wearable technology real-world assessment continuous monitoring healthcare challenges inertial measurement units digital mobility outcomes |
| url | https://www.mdpi.com/1424-8220/20/22/6509 |
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