Symposium

Cancer Rehabilitation

Clinical Practice (assessment, diagnosis, treatment, knowledge translation/EBP, implementation science, program development)

Complementary Integrative Rehabilitation Medicine

Development of an Algorithm-Based Decision Support Tool for Exercise-Based Interventions for Cancer Survivors (813559)

Presenter(s)

• 

  Kelley R. Covington, MS

  Research Assistant
  ReVital Cancer Rehabilitation & Colorado State University
  Fort Collins, Colorado

  Presentation Slides Presentation + Audio
• 

  Timothy F. Marshall, PhD, MS, ACSM/ACS-CET

  Assistant Professor
  Kean University
  Union, New Jersey
• 

  Mackenzi Pergolotti, PhD OTR/L

  Director of Research, Assistant Professor
  ReVital Cancer Rehabilitation, Colorado State University
  Fort Collins, Colorado

Non-presenting Author(s)

• GC

  Grace Campbell, PhD, MSW, RN, CNL, CRRN

  Assistant Professor
  University of Pittsburgh School of Nursing
  Pittsburgh, Rhode Island
• GW

  Grant Williams, MD

  Assistant Professor
  University of Alabama at Birmingham
  Birmingham, Alabama
• 

  Jack B. Fu, MD

  Associate Professor
  University of Texas MD Anderson Cancer Center
  Houston, Texas
• 

  Tiffany Kendig, PT, DPT, MPH, CLT

  ReVital Cancer Rehabilitation Program DIrector
  Kessler Rehabilitation Center
  Syosset, New York
• NH

  Nancy L. Howe, MS, CES

  Research Specialist Senior
  ASU Edson College of Nursing and Health Innovation
  Phoenix, Arizona

Clinical practice guidelines recommend prospective surveillance of patient’s physical and mental health and functioning throughout the cancer care continuum, with coordinated referral to rehabilitation or exercise stepped care services. Many have called for a personalized, risk stratified approach to guide care, but there is little consensus that can support oncology decision making for referrals to high vs. low specialized care services. We propose that an algorithm-based, cancer-specific decision support tool, the Exercise in Cancer Evaluation and Decision Support (EXCEEDS) Tool, could be guide clinical decision making via research-based step-by-step decision support. We provide an overview of the EXCEEDS tool development process, detail each domain of the Tool, and discuss our how the Tool could be integrated into various clinical and public platforms to guide decision making. Integration of the EXCEEDS Tool has the combined potential to enhance oncology clinician decision making and empower individuals with cancer to be active.

Learning Objectives:

• Compare/contrast the defining characteristics of each level of rehabilitation/exercise stepped care (i.e., cancer rehabilitation, clinically-supervised, supervised community-based, and unsupervised community-based).
• Describe the EXCEEDS tool review and development process, including theoretical and structural influences.
• Apply the EXCCEDS flow diagram to a case study and appraise the recommendation using clinical reasoning skills.
• Conjecture ways that the EXCEEDS Tool could be integrated into digital platforms in your practice setting to facilitate enhanced care coordination and communication during the cancer care continuum.