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Usability, acceptability, and implementation strategies for the Exercise in Cancer Evaluation and Decision Support
Kelley C Wood1,2, Mackenzi Pergolotti3,4, Tim Marshall5
1ReVital Cancer Rehabilitation, Select Medical, Mechanicsburg, PA, USA. kecovington@selectmedical.com.
Summary
The Exercise in Cancer Evaluation and Decision Support (EXCEEDS) algorithm improves medical clearance and cancer rehabilitation/exercise services (CR/ES) recommendations. This decision support tool is pragmatic and acceptable for optimizing cancer survivorship care.
Area of Science:
- Oncology
- Rehabilitation Medicine
- Exercise Science
Background:
- Cancer guidelines recommend cancer rehabilitation or exercise services (CR/ES) for survivors.
- A challenge exists in matching survivors with appropriate CR/ES at the right time.
- The EXCEEDS algorithm was developed to aid clinical decision-making and access to CR/ES.
Purpose of the Study:
- To evaluate the usability and acceptability of the EXCEEDS algorithm.
- To determine pragmatic implementation priorities for the EXCEEDS algorithm.
Main Methods:
- Delphi methodology was employed.
- Participants (N=133) completed online questionnaires including simulated case vignettes and acceptability/priority ranking items.
- Chi-squared tests and descriptive statistics were used to analyze usability, acceptability, and implementation priorities.
Main Results:
- EXCEEDS use increased guideline-concordant recommendations for medical clearance (83.4% vs. 66.5%) and CR/ES triage (60.9% vs. 51.1%).
- Mean acceptability was high (3.90 ± 0.47) with high inter-rater agreement in 3 of 4 domains.
- Implementation priorities identified include user groups, platforms, and strategies.
Conclusions:
- The EXCEEDS algorithm is a pragmatic and acceptable clinical decision support tool for CR/ES recommendations.
- Further research is needed to assess the algorithm's usability and acceptability within real-world clinical settings.

