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.

artificial intelligence artificial intelligence–based recommendations cancer support eHealth mobile phone quality of life and well-being supportive cancer care

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
21 Apr 2023
Historique:
received: 12 01 2023
accepted: 31 01 2023
revised: 31 01 2023
medline: 21 4 2023
pubmed: 21 4 2023
entrez: 21 04 2023
Statut: epublish

Résumé

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. 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. 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). 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. 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. German Clinical Trials Register (DRKS) 00027808; https://drks.de/search/en/trial/DRKS00027808. DERR1-10.2196/45475.

Sections du résumé

BACKGROUND 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 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 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 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 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 BACKGROUND
German Clinical Trials Register (DRKS) 00027808; https://drks.de/search/en/trial/DRKS00027808.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
DERR1-10.2196/45475.

Identifiants

pubmed: 37083563
pii: v12i1e45475
doi: 10.2196/45475
pmc: PMC10163393
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e45475

Informations de copyright

©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.

Références

Neurol Sci. 2016 Sep;37(9):1517-24
pubmed: 27234459
J Med Internet Res. 2023 Jan 4;25:e43404
pubmed: 36598811
Support Care Cancer. 2013 Feb;21(2):413-9
pubmed: 22790224
Eur J Cancer. 2005 May;41(8):1135-9
pubmed: 15911236
Lancet Oncol. 2020 May;21(5):e240-e251
pubmed: 32359500
Cancer Treat Rev. 2018 Sep;69:224-232
pubmed: 30098484
JBI Database System Rev Implement Rep. 2017 Feb;15(2):517-566
pubmed: 28178025
BMC Psychiatry. 2016 May 31;16:174
pubmed: 27245844
Sleep Med. 2001 Jul;2(4):297-307
pubmed: 11438246
Am J Manag Care. 2018 Aug;24(16 Suppl):S347-S355
pubmed: 30132678
CA Cancer J Clin. 2018 Nov;68(6):394-424
pubmed: 30207593
Am J Clin Oncol. 1982 Dec;5(6):649-55
pubmed: 7165009
Cancer. 1999 Mar 1;85(5):1186-96
pubmed: 10091805
Psychother Psychosom. 2015;84(3):167-76
pubmed: 25831962
Psychooncology. 2020 Jan;29(1):4-5
pubmed: 31971328
Eur J Cancer. 2007 Jul;43(10):1564-73
pubmed: 17521904
J Natl Cancer Inst. 1993 Mar 3;85(5):365-76
pubmed: 8433390
Surgeon. 2007 Dec;5(6):344-54
pubmed: 18080609
Support Care Cancer. 2016 Sep;24(9):3915-24
pubmed: 27113466
Cancer Med. 2018 Mar;7(3):635-645
pubmed: 29436144
J Gen Intern Med. 2001 Sep;16(9):606-13
pubmed: 11556941
JMIR Cancer. 2020 Jan 25;6(1):e16926
pubmed: 32039812
J Pain Symptom Manage. 2003 May;25(5):449-58
pubmed: 12727043

Auteurs

Joaquim Reis (J)

Institute of Biophysics and Biomedical Engineering, Faculty of Sciences, University of Lisbon, Lisboa, Portugal.

Luzia Travado (L)

Institute of Biophysics and Biomedical Engineering, Faculty of Sciences, University of Lisbon, Lisboa, Portugal.

Alexander Scherrer (A)

Institute for Industrial Mathematics, Fraunhofer-Institut für Techno- und Wirtschaftsmathematik (ITWM), Kaiserslautern, Germany.

Thanos Kosmidis (T)

Careacross, London, United Kingdom.

Stefanos Venios (S)

Suite5, Data Intelligence Solutions Limited, Limassol, Cyprus.

Paris Emmanouil Laras (PE)

Maggioli SPA, Santarcangelo di Romagna, Italy.

Gabrielle Oestreicher (G)

Universitaetsmedizin der Johannes Gutenberg-Universitaet Mainz, Mainz, Germany.

Markus Moehler (M)

Universitaetsmedizin der Johannes Gutenberg-Universitaet Mainz, Mainz, Germany.

Margherita Parolini (M)

IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.

Alessandro Passardi (A)

IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.

Elena Meggiolaro (E)

IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.

Giovanni Martinelli (G)

IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.

Elisabetta Petracci (E)

IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.

Chiara Zingaretti (C)

IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.

Sotiris Diamantopoulos (S)

Exus Software, London, United Kingdom.

Maria Plakia (M)

Exus Software, London, United Kingdom.

Suheib Mousa (S)

MCS Datalabs, Berlin, Germany.

Robert Zifrid (R)

MCS Datalabs, Berlin, Germany.

Francesco Giulio Sullo (FG)

IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.

Chiara Gallio (C)

IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.

Classifications MeSH