Individualized triage to exercise and rehabilitation is recommended to optimize health, functioning and wellbeing across the cancer continuum. However, ability to identify and triage the right survivor to the right exercise or rehabilitation service at the right time is a barrier. We developed an evidence-based algorithm to identify survivors' need for pre-exercise medical clearance and support individualized triage to appropriate exercise/rehabilitation care. MethodsFrom literature review, we synthesized de ning characteristics of exercise/rehabilitation services and patient characteristics associated with safety and e cacy of each service. We developed a visual model to conceptualize need for high/low specialized care, then organized patient characteristics into a risk-strati ed framework. We conducted an iterative review process with a multidisciplinary expert panel until consensus was reached for the preliminary algorithm. ResultsWe describe eight de ning features of the four levels of exercise/rehabilitation and provide a conceptual model of need for high/low specialized care across the cancer continuum. The preliminary Exercise in Cancer Evaluation and Decision Support (EXCEEDS) Algorithm includes a risk-strati ed series of eleven dichotomous questions, organized in two sections and ten domains. ConclusionsThe EXCEEDS algorithm provides an evidence-based solution to facilitate integration of exercise into routine oncology care via a common language to describe exercise/rehabilitation services, a practical model to conceptualize an individual's need for specialized care, and step-by-step decision support guidance.

PurposeIndividualized triage to exercise and rehabilitation is recommended to optimize health, functioning and well-being across the cancer continuum. However, ability to identify and triage the right survivor to the right exercise or rehabilitation service at the right time is a barrier. We developed an evidence-based algorithm to identify survivors’ need for pre-exercise medical clearance and support individualized triage to appropriate exercise/rehabilitation care.MethodsFrom literature review, we synthesized defining characteristics of exercise/rehabilitation services and patient characteristics associated with safety and efficacy of each service. We developed a visual model to conceptualize need for high/low specialized care, then organized patient characteristics into a risk-stratified framework. We conducted an iterative review process with a multidisciplinary expert panel until consensus was reached for the preliminary algorithm. ResultsWe describe eight defining features of the four levels of exercise/rehabilitation and provide a conceptual model of need for high/low specialized care across the cancer continuum. The preliminary Exercise in Cancer Evaluation and Decision Support (EXCEEDS) Algorithm includes a risk-stratified series of eleven dichotomous questions, organized in two sections and ten domains. ConclusionsThe EXCEEDS algorithm provides an evidence-based solution to facilitate integration of exercise into routine oncology care via a common language to describe exercise/rehabilitation services, a practical model to conceptualize an individual’s need for specialized care, and step-by-step decision support guidance.

No abstract

No abstract

No abstract