Open AccessDevelopment of the Exercise in Cancer Evaluation and Decision Support (EXCEEDS) algorithm
Author(s) -
Kelley R. Covington,
Timothy Marshall,
Grace Campbell,
Grant R. Williams,
Jack B. Fu,
Tiffany Kendig,
Nancy Litterman Howe,
Catherine M. Alfano,
Mackenzi Pergolotti
Publication year - 2021
Publication title -
supportive care in cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.133
H-Index - 112
eISSN - 1433-7339
pISSN - 0941-4355
DOI - 10.1007/s00520-021-06208-7
Subject(s) - rehabilitation , multidisciplinary approach , algorithm , service (business) , decision support system , medicine , computer science , decision aids , machine learning , applied psychology , artificial intelligence , physical therapy , psychology , alternative medicine , economics , social science , economy , sociology , pathology
Participation in exercise or rehabilitation services is recommended to optimize health, functioning, and well-being across the cancer continuum of care. However, limited knowledge of individual needs and complex decision-making are barriers to connect the right survivor to the right exercise/rehabilitation service at the right time. In this article, we define the levels of exercise/rehabilitation services, provide a conceptual model to improve understanding of individual needs, and describe the development of the Exercise in Cancer Evaluation and Decision Support (EXCEEDS) algorithm.