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

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

Author(s): 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;
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
Publisher's Version: https://doi.org/10.1007/s00520-024-08373-x
Terms of Use/Rights Notice: Refer to copyright notice on published article.

Creation Date: 2024-05-07 04:32:41

Last Modified: 2024-05-07 04:39:44