ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2022
Usability, acceptability, and implementation strategies for the Exercise in Cancer Evaluation and Decision Support (EXCEEDS) algorithm: a Delphi study.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Multimodal Physical Exercise and Functional Rehabilitation Program in Oncological Patients with Cancer-Related Fatigue-A Randomized Clinical Trial.International journal of environmental research and public health · 2023Trial
- Implementation strategies for cancer rehabilitation in clinical practice: a Delphi study.Japanese journal of clinical oncology · 2026Article
- Healthcare provider perspectives on a clinical decision tool to support individualized exercise prescriptions and discussions for breast cancer survivors.Journal of cancer survivorship : research and practice · 2026Article
- Healthcare provider perspectives on barriers and facilitators to exercise promotion among breast cancer survivors: Differences across professions.Journal of cancer survivorship : research and practice · 2026Article
- Breast cancer survivors' perspectives on a clinical decision tool to support individualized exercise prescriptions and discussions.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Identifying pediatric neurosurgery training priorities in Paraguay: a novel quadrant analysis.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025Article
- The Use of Physiotherapy Navigators in Acute Cancer Care Settings: A Scoping Review.Archives of rehabilitation research and clinical translation · 2025Review
- Patient experiences of participating in a cancer rehabilitation triage and referral system in the Irish healthcare system.Journal of cancer survivorship : research and practice · 2025Article
- Identification of core competencies for exercise oncology professionals: A Delphi study of United States and Australian participants.Cancer medicine · 2024Article
- Suicide Risk Screening for Head and Neck Cancer Patients: An Implementation Study.Applied clinical informatics · 2024Article
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11 authors.
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Abstract
introductionOncology guidelines recommend participation in cancer rehabilitation or exercise services (CR/ES) to optimize survivorship. Yet, connecting the right survivor, with the right CR/ES, at the right time remains a challenge. The Exercise in Cancer Evaluation and Decision Support (EXCEEDS) algorithm was developed to enhance CR/ES clinical decision-making and facilitate access to CR/ES. We used Delphi methodology to evaluate usability, acceptability, and determine pragmatic implementation priorities.
methodsParticipants completed three online questionnaires including (1) simulated case vignettes, (2) 4-item acceptability questionnaire (0-5 pts), and (3) series of items to rank algorithm implementation priorities (potential users, platforms, strategies). To evaluate usability, we used Chi-squared test to compare frequency of accurate pre-exercise medical clearance and CR/ES triage recommendations for case vignettes when using EXCEEDS vs. without. We calculated mean acceptability and inter-rater agreement overall and in 4 domains. We used the Eisenhower Prioritization Method to evaluate implementation priorities.
resultsParticipants (N = 133) mostly represented the fields of rehabilitation (69%), oncology (25%), or exercise science (17%). When using EXCEEDS (vs. without), their recommendations were more likely to be guideline concordant for medical clearance (83.4% vs. 66.5%, X
conclusionThis study demonstrates the EXCEEDS algorithm can be a pragmatic and acceptable clinical decision support tool for CR/ES recommendations. Future research is needed to evaluate algorithm usability and acceptability in real-world clinical pathways.
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