Development of the Exercise in Cancer Evaluation and Decision Support (EXCEEDS) algorithm | Zendy

Kelley R. Covington | Zendy; Timothy Marshall | Zendy; Grace Campbell | Zendy; Grant R. Williams | Zendy; Jack B. Fu | Zendy; Tiffany Kendig | Zendy; Nancy Howe | Zendy; Catherine M. Alfano | Zendy; Mackenzi Pergolotti | Zendy

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Development 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 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.

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