1. Patient-reported symptom monitoring: using (big) data to improve supportive care at the macro-, meso-, and micro-levels.
- Author
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Wang Y, Allsop MJ, Epstein JB, Howell D, Rapoport BL, Schofield P, Van Sebille Y, Thong MSY, Walraven I, Ryan Wolf J, and van den Hurk CJG
- Subjects
- Humans, Cognition, Consensus, Information Dissemination, Patient Reported Outcome Measures, Cancer Survivors
- Abstract
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., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
- Published
- 2024
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