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Forward Planning: A Staffing Framework and Ratios for Psychosocial Oncology and Supportive Care Hiring Practices as Cancer Care Models Evolve.

Researchers

Carole Mayer, Marianne Arab, Kimberley Thibodeau, Celestina Martopullo

Abstract

Innovative models of cancer care have emerged in response to advances in cancer treatment, expanding technologies that bring care closer to home and address COVID-19-related challenges and concerns about a shrinking healthcare workforce. Despite the advancements made, the psychosocial impact on people affected by cancer persists. The psychosocial burden of cancer underlines the need for patient access to evidence-based psychosocial oncology (PSO) and supportive care (SC) interventions. As models of care evolve, hiring practices of PSO professionals must also evolve for cancer patients to access properly staffed PSO programs that deliver high-quality and efficient services. In 2019, the Canadian Association of Psychosocial Oncology (CAPO)-Clinical Advisory Committee consulted administrators and clinicians across Canada to understand caseload volumes of PSO professionals with a goal to set staffing ratios. The engagement process revealed that there is no consistency in staffing PSO programs across Canada, let alone staffing ratios for PSO disciplines. In 2022, CAPO introduced a 10-point staffing framework and formula to calculate staffing ratios for hiring PSO professionals, beginning with the social work discipline. The goal of this paper is to provide updates to the existing framework and demonstrate how the formula can be adapted to other PSO disciplines. To our knowledge, this is the first published paper in Canada outlining the calculations for a PSO staff framework and formula. The authors advocate for greater transparency when reporting PSO staffing ratios across Canada, using this framework as a reference point. Organizations reporting on the cancer system performance are encouraged to develop PSO indicators, starting with tracking patient access to PSO services.
Source: PubMed (PMID: 42187607)View Original on PubMed
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