Trial reportBMC health services research2024
Planning and evaluating an integrated clinical exercise oncology service: an exploratory mixed-methods study.
Trial report in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06039488 (The Impact of an 8-week Exercise Program on Physical Function in Individuals With Cancer), which is not on this map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Impact of an 8-week Exercise Program on Physical Function in Individuals With Cancer
Who cites it
4 citing papers in PubMed.
- Trial
- An exploratory analysis of 24-h movement behaviors in individuals with cancer completing a 12-week resistance exercise intervention.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Supervised resistance training in an individual with glioblastoma undergoing chemoradiation: a case report.Frontiers in oncology · 2026Article
- Personalized exercise programs in oncology.Oncology reviews · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis project aimed to design and evaluate the potential to integrate an exercise oncology service into clinical care in a local healthcare system. The goal was to inform the design of an implementation strategy to promote its sustainable use in standard care.
methodsThis two-phase, exploratory study used a mixed-methods approach. First, qualitative measures were used to understand the context for exercise integration into oncology care by clinicians and administrators in the healthcare system. Next, the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework guided a comprehensive evaluation of the exercise service. Reach and Adoption were measured via number of patients enrolled in the program relative to those treated. Adoption was measured via referrals from stakeholders. Implementation was described using the program structure and delivery. Maintenance was described using hospital funding decisions. Effectiveness was assessed using the Bellarmine Norton Assessment Tool (BNAT) and Functional Assessment of Cancer Therapy - Fatigue Scale.
resultsPhase 1 context analysis suggested critical elements to guide program delivery, including limiting participants to post-primary treatment (surgery, chemotherapy and radiation) and streamlining referral process. The Phase 2 evaluation demonstrated suboptimal program reach (2%); significant program effectiveness (improved physical function (BNAT; p = 0.05 ) and decreased fatigue (p < 0.05)); receptiveness to program adoption (75%); and strong potential for program maintenance.
conclusionsTraditional approaches to exercise oncology research trials are not easily integrated into healthcare systems. Designing an exercise program for meaningful integration and sustainment requires understanding the context where the program will be delivered, followed by intentional and continuous engagement with key stakeholders to ensure the program continues to meet the needs of the system. Initial exploration of the settings is critical to inform a comprehensive implementation strategy.
trial registrationclinicaltrials.gov: NCT06039488. Prospectively Registered Sept 15th, 2023.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.