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The Mobile-Based 6-Minute Walk Test: Usability Study and Algorithm Development and Validation
BACKGROUND: The 6-min walk test (6MWT) is a convenient method for assessing functional capacity in patients with cardiopulmonary conditions. It is usually performed in the context of a hospital clinic and thus requires the involvement of hospital staff and facilities, with their associated costs. OB...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969385/ https://www.ncbi.nlm.nih.gov/pubmed/31899457 http://dx.doi.org/10.2196/13756 |
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author | Salvi, Dario Poffley, Emma Orchard, Elizabeth Tarassenko, Lionel |
author_facet | Salvi, Dario Poffley, Emma Orchard, Elizabeth Tarassenko, Lionel |
author_sort | Salvi, Dario |
collection | PubMed |
description | BACKGROUND: The 6-min walk test (6MWT) is a convenient method for assessing functional capacity in patients with cardiopulmonary conditions. It is usually performed in the context of a hospital clinic and thus requires the involvement of hospital staff and facilities, with their associated costs. OBJECTIVE: This study aimed to develop a mobile phone–based system that allows patients to perform the 6MWT in the community. METHODS: We developed 2 algorithms to compute the distance walked during a 6MWT using sensors embedded in a mobile phone. One algorithm makes use of the global positioning system to track the location of the phone when outdoors and hence computes the distance travelled. The other algorithm is meant to be used indoors and exploits the inertial sensors built into the phone to detect U-turns when patients walk back and forth along a corridor of fixed length. We included these algorithms in a mobile phone app, integrated with wireless pulse oximeters and a back-end server. We performed Bland-Altman analysis of the difference between the distances estimated by the phone and by a reference trundle wheel on 49 indoor tests and 30 outdoor tests, with 11 different mobile phones (both Apple iOS and Google Android operating systems). We also assessed usability aspects related to the app in a discussion group with patients and clinicians using a technology acceptance model to guide discussion. RESULTS: The mean difference between the mobile phone-estimated distances and the reference values was −2.013 m (SD 7.84 m) for the indoor algorithm and −0.80 m (SD 18.56 m) for the outdoor algorithm. The absolute maximum difference was, in both cases, below the clinically significant threshold. A total of 2 pulmonary hypertension patients, 1 cardiologist, 2 physiologists, and 1 nurse took part in the discussion group, where issues arising from the use of the 6MWT in hospital were identified. The app was demonstrated to be usable, and the 2 patients were keen to use it in the long term. CONCLUSIONS: The system described in this paper allows patients to perform the 6MWT at a place of their convenience. In addition, the use of pulse oximetry allows more information to be generated about the patient’s health status and, possibly, be more relevant to the real-life impact of their condition. Preliminary assessment has shown that the developed 6MWT app is highly accurate and well accepted by its users. Further tests are needed to assess its clinical value. |
format | Online Article Text |
id | pubmed-6969385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-69693852020-01-30 The Mobile-Based 6-Minute Walk Test: Usability Study and Algorithm Development and Validation Salvi, Dario Poffley, Emma Orchard, Elizabeth Tarassenko, Lionel JMIR Mhealth Uhealth Original Paper BACKGROUND: The 6-min walk test (6MWT) is a convenient method for assessing functional capacity in patients with cardiopulmonary conditions. It is usually performed in the context of a hospital clinic and thus requires the involvement of hospital staff and facilities, with their associated costs. OBJECTIVE: This study aimed to develop a mobile phone–based system that allows patients to perform the 6MWT in the community. METHODS: We developed 2 algorithms to compute the distance walked during a 6MWT using sensors embedded in a mobile phone. One algorithm makes use of the global positioning system to track the location of the phone when outdoors and hence computes the distance travelled. The other algorithm is meant to be used indoors and exploits the inertial sensors built into the phone to detect U-turns when patients walk back and forth along a corridor of fixed length. We included these algorithms in a mobile phone app, integrated with wireless pulse oximeters and a back-end server. We performed Bland-Altman analysis of the difference between the distances estimated by the phone and by a reference trundle wheel on 49 indoor tests and 30 outdoor tests, with 11 different mobile phones (both Apple iOS and Google Android operating systems). We also assessed usability aspects related to the app in a discussion group with patients and clinicians using a technology acceptance model to guide discussion. RESULTS: The mean difference between the mobile phone-estimated distances and the reference values was −2.013 m (SD 7.84 m) for the indoor algorithm and −0.80 m (SD 18.56 m) for the outdoor algorithm. The absolute maximum difference was, in both cases, below the clinically significant threshold. A total of 2 pulmonary hypertension patients, 1 cardiologist, 2 physiologists, and 1 nurse took part in the discussion group, where issues arising from the use of the 6MWT in hospital were identified. The app was demonstrated to be usable, and the 2 patients were keen to use it in the long term. CONCLUSIONS: The system described in this paper allows patients to perform the 6MWT at a place of their convenience. In addition, the use of pulse oximetry allows more information to be generated about the patient’s health status and, possibly, be more relevant to the real-life impact of their condition. Preliminary assessment has shown that the developed 6MWT app is highly accurate and well accepted by its users. Further tests are needed to assess its clinical value. JMIR Publications 2020-01-03 /pmc/articles/PMC6969385/ /pubmed/31899457 http://dx.doi.org/10.2196/13756 Text en ©Dario Salvi, Emma Poffley, Elizabeth Orchard, Lionel Tarassenko. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 03.01.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Salvi, Dario Poffley, Emma Orchard, Elizabeth Tarassenko, Lionel The Mobile-Based 6-Minute Walk Test: Usability Study and Algorithm Development and Validation |
title | The Mobile-Based 6-Minute Walk Test: Usability Study and Algorithm Development and Validation |
title_full | The Mobile-Based 6-Minute Walk Test: Usability Study and Algorithm Development and Validation |
title_fullStr | The Mobile-Based 6-Minute Walk Test: Usability Study and Algorithm Development and Validation |
title_full_unstemmed | The Mobile-Based 6-Minute Walk Test: Usability Study and Algorithm Development and Validation |
title_short | The Mobile-Based 6-Minute Walk Test: Usability Study and Algorithm Development and Validation |
title_sort | mobile-based 6-minute walk test: usability study and algorithm development and validation |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969385/ https://www.ncbi.nlm.nih.gov/pubmed/31899457 http://dx.doi.org/10.2196/13756 |
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