Patient-reported symptom monitoring: using (big) data to improve supportive care at the macro-, meso-, and micro-levels
Details
Publication Year 2024-02-22,Volume 32,Issue #3,Page 182
Journal Title
Supportive Care in Cancer
Publication Type
Research article
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.
Publisher
Springer Nature
Keywords
Humans; *Cancer Survivors; Cognition; Consensus; Information Dissemination; Patient Reported Outcome Measures; Real-world data; Supportive care; Symptom monitoring
Department(s)
Health Services Research
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Creation Date: 2024-05-07 04:32:41
Last Modified: 2024-05-07 04:39:44

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