Journal Article

DKFZ-2024-00403

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Patient-reported symptom monitoring: using (big) data to improve supportive care at the macro-, meso-, and micro-levels.

Wang, Y. ; Allsop, M. J. ; Epstein, J. B. ; Howell, D. ; Rapoport, B. L. ; Schofield, P. ; Van Sebille, Y. ; Thong, M.DKFZ* ; Walraven, I. ; Ryan Wolf, J. ; van den Hurk, C. J. G.

2024
Springer New York,NY

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Please use a persistent id in citations: doi:10.1007/s00520-024-08373-x

Abstract: 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.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.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.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.

Keyword(s): Humans (MeSH) ; Cancer Survivors (MeSH) ; Cognition (MeSH) ; Consensus (MeSH) ; Information Dissemination (MeSH) ; Patient Reported Outcome Measures (MeSH) ; Real-world data ; Supportive care ; Symptom monitoring

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Contributing Institute(s):

1. C071 Cancer Survivorship (C071)

Research Program(s):

1. 313 - Krebsrisikofaktoren und Prävention (POF4-313) (POF4-313)

Appears in the scientific report 2024

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Database coverage:
; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; DEAL Springer ; DEAL Springer ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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