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Digital Guardian Angel Supported by an Artificial Intelligence System to Improve Quality of Life, Well-being, and Health Outcomes of Patients With Cancer (ONCORELIEF): Protocol for a Single Arm Prospective Multicenter Pilot Study

BACKGROUND: According to Europe’s Beating Cancer Plan, the number of cancer survivors is growing every year and is now estimated at over 12 million in Europe. A main objective of the European Commission is to ensure that cancer survivors can enjoy a high quality of life, underlining the role of digi...

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Autores principales: Reis, Joaquim, Travado, Luzia, Scherrer, Alexander, Kosmidis, Thanos, Venios, Stefanos, Laras, Paris Emmanouil, Oestreicher, Gabrielle, Moehler, Markus, Parolini, Margherita, Passardi, Alessandro, Meggiolaro, Elena, Martinelli, Giovanni, Petracci, Elisabetta, Zingaretti, Chiara, Diamantopoulos, Sotiris, Plakia, Maria, Vassiliou, Charalampos, Mousa, Suheib, Zifrid, Robert, Sullo, Francesco Giulio, Gallio, Chiara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163393/
https://www.ncbi.nlm.nih.gov/pubmed/37083563
http://dx.doi.org/10.2196/45475
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author Reis, Joaquim
Travado, Luzia
Scherrer, Alexander
Kosmidis, Thanos
Venios, Stefanos
Laras, Paris Emmanouil
Oestreicher, Gabrielle
Moehler, Markus
Parolini, Margherita
Passardi, Alessandro
Meggiolaro, Elena
Martinelli, Giovanni
Petracci, Elisabetta
Zingaretti, Chiara
Diamantopoulos, Sotiris
Plakia, Maria
Vassiliou, Charalampos
Mousa, Suheib
Zifrid, Robert
Sullo, Francesco Giulio
Gallio, Chiara
author_facet Reis, Joaquim
Travado, Luzia
Scherrer, Alexander
Kosmidis, Thanos
Venios, Stefanos
Laras, Paris Emmanouil
Oestreicher, Gabrielle
Moehler, Markus
Parolini, Margherita
Passardi, Alessandro
Meggiolaro, Elena
Martinelli, Giovanni
Petracci, Elisabetta
Zingaretti, Chiara
Diamantopoulos, Sotiris
Plakia, Maria
Vassiliou, Charalampos
Mousa, Suheib
Zifrid, Robert
Sullo, Francesco Giulio
Gallio, Chiara
author_sort Reis, Joaquim
collection PubMed
description BACKGROUND: According to Europe’s Beating Cancer Plan, the number of cancer survivors is growing every year and is now estimated at over 12 million in Europe. A main objective of the European Commission is to ensure that cancer survivors can enjoy a high quality of life, underlining the role of digital technology and eHealth apps and tools to achieve this. OBJECTIVE: The main objective of this study is the development of a user-centered artificial intelligence system to facilitate the input and integration of patient-related biopsychosocial data to improve posttreatment quality of life, well-being, and health outcomes and examine the feasibility of this digitally assisted workflow in a real-life setting in patients with colorectal cancer and acute myeloid leukemia. METHODS: A total of 60 patients with colorectal cancer and 30 patients with acute myeloid leukemia will be recruited from 2 clinical centers: Universitätsmedizin der Johannes Gutenberg-Universität Mainz (Mainz, Germany) and IRCCS Istituto Romagnolo per lo Studio dei Tumori “Dino Amadori” (IRST, Italy). Psychosocial data (eg, emotional distress, fatigue, quality of life, subjective well-being, sleep problems, and appetite loss) will be collected by questionnaires via a smartphone app, and physiological data (eg, heart rate, skin temperature, and movement through step count) will be collected by a customizable smart wrist-worn sensor device. Each patient will be assessed every 2 weeks over their 3-month participation in the ONCORELIEF study. Inclusion criteria include patients with the diagnosis of acute myeloid leukemia or colorectal cancer, adult patients aged 18 years and older, life expectancy greater than 12 months, Eastern Cooperative Oncology Group performance status ≤2, and patients who have a smartphone and agree to use it for the purpose of the study. Exclusion criteria include patients with a reduced cognitive function (such as dementia) or technological illiteracy and other known active malignant neoplastic diseases (patients with a medical history of treated neoplastic disease are included). RESULTS: The pilot study started on September 1, 2022. As of January 2023, we enrolled 33 patients with colorectal cancer and 7 patients with acute myeloid leukemia. As of January 2023, we have not yet started the data analysis. We expect to get all data in June 2023 and expect the results to be published in the second semester of 2023. CONCLUSIONS: Web-based and mobile apps use methods from mathematical decision support and artificial intelligence through a closed-loop workflow that connects health professionals and patients. The ONCORELIEF system has the potential of continuously identifying, collecting, and processing data from diverse patient dimensions to offer health care recommendations, support patients with cancer to address their unmet needs, and optimize survivorship care. TRIAL REGISTRATION: German Clinical Trials Register (DRKS) 00027808; https://drks.de/search/en/trial/DRKS00027808 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/45475
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spelling pubmed-101633932023-05-07 Digital Guardian Angel Supported by an Artificial Intelligence System to Improve Quality of Life, Well-being, and Health Outcomes of Patients With Cancer (ONCORELIEF): Protocol for a Single Arm Prospective Multicenter Pilot Study Reis, Joaquim Travado, Luzia Scherrer, Alexander Kosmidis, Thanos Venios, Stefanos Laras, Paris Emmanouil Oestreicher, Gabrielle Moehler, Markus Parolini, Margherita Passardi, Alessandro Meggiolaro, Elena Martinelli, Giovanni Petracci, Elisabetta Zingaretti, Chiara Diamantopoulos, Sotiris Plakia, Maria Vassiliou, Charalampos Mousa, Suheib Zifrid, Robert Sullo, Francesco Giulio Gallio, Chiara JMIR Res Protoc Protocol BACKGROUND: According to Europe’s Beating Cancer Plan, the number of cancer survivors is growing every year and is now estimated at over 12 million in Europe. A main objective of the European Commission is to ensure that cancer survivors can enjoy a high quality of life, underlining the role of digital technology and eHealth apps and tools to achieve this. OBJECTIVE: The main objective of this study is the development of a user-centered artificial intelligence system to facilitate the input and integration of patient-related biopsychosocial data to improve posttreatment quality of life, well-being, and health outcomes and examine the feasibility of this digitally assisted workflow in a real-life setting in patients with colorectal cancer and acute myeloid leukemia. METHODS: A total of 60 patients with colorectal cancer and 30 patients with acute myeloid leukemia will be recruited from 2 clinical centers: Universitätsmedizin der Johannes Gutenberg-Universität Mainz (Mainz, Germany) and IRCCS Istituto Romagnolo per lo Studio dei Tumori “Dino Amadori” (IRST, Italy). Psychosocial data (eg, emotional distress, fatigue, quality of life, subjective well-being, sleep problems, and appetite loss) will be collected by questionnaires via a smartphone app, and physiological data (eg, heart rate, skin temperature, and movement through step count) will be collected by a customizable smart wrist-worn sensor device. Each patient will be assessed every 2 weeks over their 3-month participation in the ONCORELIEF study. Inclusion criteria include patients with the diagnosis of acute myeloid leukemia or colorectal cancer, adult patients aged 18 years and older, life expectancy greater than 12 months, Eastern Cooperative Oncology Group performance status ≤2, and patients who have a smartphone and agree to use it for the purpose of the study. Exclusion criteria include patients with a reduced cognitive function (such as dementia) or technological illiteracy and other known active malignant neoplastic diseases (patients with a medical history of treated neoplastic disease are included). RESULTS: The pilot study started on September 1, 2022. As of January 2023, we enrolled 33 patients with colorectal cancer and 7 patients with acute myeloid leukemia. As of January 2023, we have not yet started the data analysis. We expect to get all data in June 2023 and expect the results to be published in the second semester of 2023. CONCLUSIONS: Web-based and mobile apps use methods from mathematical decision support and artificial intelligence through a closed-loop workflow that connects health professionals and patients. The ONCORELIEF system has the potential of continuously identifying, collecting, and processing data from diverse patient dimensions to offer health care recommendations, support patients with cancer to address their unmet needs, and optimize survivorship care. TRIAL REGISTRATION: German Clinical Trials Register (DRKS) 00027808; https://drks.de/search/en/trial/DRKS00027808 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/45475 JMIR Publications 2023-04-21 /pmc/articles/PMC10163393/ /pubmed/37083563 http://dx.doi.org/10.2196/45475 Text en ©Joaquim Reis, Luzia Travado, Alexander Scherrer, Thanos Kosmidis, Stefanos Venios, Paris Emmanouil Laras, Gabrielle Oestreicher, Markus Moehler, Margherita Parolini, Alessandro Passardi, Elena Meggiolaro, Giovanni Martinelli, Elisabetta Petracci, Chiara Zingaretti, Sotiris Diamantopoulos, Maria Plakia, Charalampos Vassiliou, Suheib Mousa, Robert Zifrid, Francesco Giulio Sullo, Chiara Gallio. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 21.04.2023. 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 Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Reis, Joaquim
Travado, Luzia
Scherrer, Alexander
Kosmidis, Thanos
Venios, Stefanos
Laras, Paris Emmanouil
Oestreicher, Gabrielle
Moehler, Markus
Parolini, Margherita
Passardi, Alessandro
Meggiolaro, Elena
Martinelli, Giovanni
Petracci, Elisabetta
Zingaretti, Chiara
Diamantopoulos, Sotiris
Plakia, Maria
Vassiliou, Charalampos
Mousa, Suheib
Zifrid, Robert
Sullo, Francesco Giulio
Gallio, Chiara
Digital Guardian Angel Supported by an Artificial Intelligence System to Improve Quality of Life, Well-being, and Health Outcomes of Patients With Cancer (ONCORELIEF): Protocol for a Single Arm Prospective Multicenter Pilot Study
title Digital Guardian Angel Supported by an Artificial Intelligence System to Improve Quality of Life, Well-being, and Health Outcomes of Patients With Cancer (ONCORELIEF): Protocol for a Single Arm Prospective Multicenter Pilot Study
title_full Digital Guardian Angel Supported by an Artificial Intelligence System to Improve Quality of Life, Well-being, and Health Outcomes of Patients With Cancer (ONCORELIEF): Protocol for a Single Arm Prospective Multicenter Pilot Study
title_fullStr Digital Guardian Angel Supported by an Artificial Intelligence System to Improve Quality of Life, Well-being, and Health Outcomes of Patients With Cancer (ONCORELIEF): Protocol for a Single Arm Prospective Multicenter Pilot Study
title_full_unstemmed Digital Guardian Angel Supported by an Artificial Intelligence System to Improve Quality of Life, Well-being, and Health Outcomes of Patients With Cancer (ONCORELIEF): Protocol for a Single Arm Prospective Multicenter Pilot Study
title_short Digital Guardian Angel Supported by an Artificial Intelligence System to Improve Quality of Life, Well-being, and Health Outcomes of Patients With Cancer (ONCORELIEF): Protocol for a Single Arm Prospective Multicenter Pilot Study
title_sort digital guardian angel supported by an artificial intelligence system to improve quality of life, well-being, and health outcomes of patients with cancer (oncorelief): protocol for a single arm prospective multicenter pilot study
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163393/
https://www.ncbi.nlm.nih.gov/pubmed/37083563
http://dx.doi.org/10.2196/45475
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