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Purpose: This paper aims to provide a comprehensive understanding of the need for continued development of symptom monitoring (SM) implementation, utilization, and data usage at the macro-, meso-, and micro-levels.

Methods: Discussions from a patient-reported SM workshop at the MASCC/ISSO 2022 annual meeting were analyzed using a macro-meso-micro analytical framework of cancer care delivery. The workshop categories "initiation and implementation, barriers to adoption and utilization, and data usage" were integrated for each level.

Results: At the macro-level, policy development could encourage data sharing and international collaboration, including the exchange of SM methods, supportive care models, and self-management modules. At the meso-level, institutions should adjust clinical workflow and service delivery and promote a thorough technical and clinical integration of SM. At the micro-level, SM should be individualized, with timely feedback for patients, and should foster trust and understanding of AI decision support tools amongst clinicians to improve supportive care.

Conclusions: The workshop reached a consensus among international experts on providing guidance on SM implementation, utilization, and (big) data usage pathways in cancer survivors across the cancer continuum and on macro-meso-micro levels.

Titel:	Patient-reported symptom monitoring: using (big) data to improve supportive care at the macro-, meso-, and micro-levels.
Autor/in / Beteiligte Person:	Wang, Y ; Allsop, MJ ; Epstein, JB ; Howell, D ; Rapoport, BL ; Schofield, P ; Van Sebille, Y ; Thong, MSY ; Walraven, I ; Ryan Wolf, J ; van den Hurk CJG
Link:	View record at Springer (Volltext)
Zeitschrift:	Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, Jg. 32 (2024-02-22), Heft 3, S. 182
Veröffentlichung:	Berlin : Springer International, c1993-, 2024
Medientyp:	academicJournal
ISSN:	1433-7339 (electronic)
DOI:	10.1007/s00520-024-08373-x
Schlagwort:	Humans Cognition Consensus Information Dissemination Patient Reported Outcome Measures Cancer Survivors
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article Language: English [Support Care Cancer] 2024 Feb 22; Vol. 32 (3), pp. 182. <i>Date of Electronic Publication: </i>2024 Feb 22. MeSH Terms: Cancer Survivors* ; Humans ; Cognition ; Consensus ; Information Dissemination ; Patient Reported Outcome Measures References: Caminiti C, Maglietta G, Diodati F, Puntoni M, Marcomini B, Lazzarelli S, Pinto C, Perrone F (2022) The effects of patient-reported outcome screening on the survival of people with cancer: a systematic review and meta-analysis. Cancers 14(21):5470. https://doi.org/10.3390/cancers14215470. (PMID: 10.3390/cancers14215470363588889657884) ; Iqbal FM, Lam K, Joshi M, Khan S, Ashrafian H, Darzi A (2021) Clinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis. NPJ Digit Med 4(1):7. https://doi.org/10.1038/s41746-020-00378-0. 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Inform Med Unlocked 33:101090. https://doi.org/10.1016/j.imu.2022.101090. (PMID: 10.1016/j.imu.2022.101090) Contributed Indexing: Keywords: Real-world data; Supportive care; Symptom monitoring Entry Date(s): Date Created: 20240222 Date Completed: 20240223 Latest Revision: 20240319 Update Code: 20240319

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Patient-reported symptom monitoring: using (big) data to improve supportive care at the macro-, meso-, and micro-levels.