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Smartphone Sensors for Monitoring Cancer-Related Quality of Life: App Design, EORTC QLQ-C30 Mapping and Feasibility Study in Healthy Subjects

Quality of life (QoL) indicators are now being adopted as clinical outcomes in clinical trials on cancer treatments. Technology-free daily monitoring of patients is complicated, time-consuming and expensive due to the need for vast amounts of resources and personnel. The alternative method of using...

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Autores principales: Asensio-Cuesta, Sabina, Sánchez-García, Ángel, Conejero, J. Alberto, Saez, Carlos, Rivero-Rodriguez, Alejandro, García-Gómez, Juan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388149/
https://www.ncbi.nlm.nih.gov/pubmed/30764535
http://dx.doi.org/10.3390/ijerph16030461
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author Asensio-Cuesta, Sabina
Sánchez-García, Ángel
Conejero, J. Alberto
Saez, Carlos
Rivero-Rodriguez, Alejandro
García-Gómez, Juan M.
author_facet Asensio-Cuesta, Sabina
Sánchez-García, Ángel
Conejero, J. Alberto
Saez, Carlos
Rivero-Rodriguez, Alejandro
García-Gómez, Juan M.
author_sort Asensio-Cuesta, Sabina
collection PubMed
description Quality of life (QoL) indicators are now being adopted as clinical outcomes in clinical trials on cancer treatments. Technology-free daily monitoring of patients is complicated, time-consuming and expensive due to the need for vast amounts of resources and personnel. The alternative method of using the patients’ own phones could reduce the burden of continuous monitoring of cancer patients in clinical trials. This paper proposes monitoring the patients’ QoL by gathering data from their own phones. We considered that the continuous multiparametric acquisition of movement, location, phone calls, conversations and data use could be employed to simultaneously monitor their physical, psychological, social and environmental aspects. An open access phone app was developed (Human Dynamics Reporting Service (HDRS)) to implement this approach. We here propose a novel mapping between the standardized QoL items for these patients, the European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) and define HDRS monitoring indicators. A pilot study with university volunteers verified the plausibility of detecting human activity indicators directly related to QoL.
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spelling pubmed-63881492019-02-27 Smartphone Sensors for Monitoring Cancer-Related Quality of Life: App Design, EORTC QLQ-C30 Mapping and Feasibility Study in Healthy Subjects Asensio-Cuesta, Sabina Sánchez-García, Ángel Conejero, J. Alberto Saez, Carlos Rivero-Rodriguez, Alejandro García-Gómez, Juan M. Int J Environ Res Public Health Article Quality of life (QoL) indicators are now being adopted as clinical outcomes in clinical trials on cancer treatments. Technology-free daily monitoring of patients is complicated, time-consuming and expensive due to the need for vast amounts of resources and personnel. The alternative method of using the patients’ own phones could reduce the burden of continuous monitoring of cancer patients in clinical trials. This paper proposes monitoring the patients’ QoL by gathering data from their own phones. We considered that the continuous multiparametric acquisition of movement, location, phone calls, conversations and data use could be employed to simultaneously monitor their physical, psychological, social and environmental aspects. An open access phone app was developed (Human Dynamics Reporting Service (HDRS)) to implement this approach. We here propose a novel mapping between the standardized QoL items for these patients, the European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) and define HDRS monitoring indicators. A pilot study with university volunteers verified the plausibility of detecting human activity indicators directly related to QoL. MDPI 2019-02-05 2019-02 /pmc/articles/PMC6388149/ /pubmed/30764535 http://dx.doi.org/10.3390/ijerph16030461 Text en © 2019 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
Asensio-Cuesta, Sabina
Sánchez-García, Ángel
Conejero, J. Alberto
Saez, Carlos
Rivero-Rodriguez, Alejandro
García-Gómez, Juan M.
Smartphone Sensors for Monitoring Cancer-Related Quality of Life: App Design, EORTC QLQ-C30 Mapping and Feasibility Study in Healthy Subjects
title Smartphone Sensors for Monitoring Cancer-Related Quality of Life: App Design, EORTC QLQ-C30 Mapping and Feasibility Study in Healthy Subjects
title_full Smartphone Sensors for Monitoring Cancer-Related Quality of Life: App Design, EORTC QLQ-C30 Mapping and Feasibility Study in Healthy Subjects
title_fullStr Smartphone Sensors for Monitoring Cancer-Related Quality of Life: App Design, EORTC QLQ-C30 Mapping and Feasibility Study in Healthy Subjects
title_full_unstemmed Smartphone Sensors for Monitoring Cancer-Related Quality of Life: App Design, EORTC QLQ-C30 Mapping and Feasibility Study in Healthy Subjects
title_short Smartphone Sensors for Monitoring Cancer-Related Quality of Life: App Design, EORTC QLQ-C30 Mapping and Feasibility Study in Healthy Subjects
title_sort smartphone sensors for monitoring cancer-related quality of life: app design, eortc qlq-c30 mapping and feasibility study in healthy subjects
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388149/
https://www.ncbi.nlm.nih.gov/pubmed/30764535
http://dx.doi.org/10.3390/ijerph16030461
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