e18027 Background: Risk-based survivorship care has become one of the best practices care recommended by the Institute of Medicine. It involves coordinated follow-up services based on the risk of long-term and late effects, cancer recurrence and an individualised care plan. Risk-based care requires specific knowledge about cancer histology, treatments, and potential consequences of cancer and its treatment to guide surveillance, screening and counseling. Diagnostic and treatment details and their associated health risks may not be known by survivors or their multiple care providers. Implementing risk-based survivorship care is often challenging for providers. This presentation report on a deliberative workshop on the development and planning of a risk-based survivorship care model. Methods: The deliberative workshop is part of a larger study in two regional cancer networks in Quebec, selected for there differences (geographic location, population size, academic mandate). A total of 25 key informants (researchers, managers, family physicians, oncologists, cancer survivors, nurses, social workers) participated into the workshop on October 2nd, 2018. Deliberative discussion between local stakeholders followed by videoconference, getting together stakeholders from both networks was drawn from Gupta et al 3 steps: 1) identify the problem; 2) develop the innovation; 3) design the pilot test. Results: Although the context of the network was different, main issues were similar: 1) there is no common understanding of the concept “risk-based survivorship care”, either for survivors, primary care providers and cancer specialist; 2) “silo functioning” within and between teams is a main barriers to ensure care coordination based on risk assessment; 3) organizational assets should be formalized to insure safe coordination of survivorship care based on cancer risk assessment. Conclusions: Given the recognized importance of risk-based survivorship care and implementation challenges, deliberative discussions may provide a useful lens to inform translation of this model into real practices and guide empirical studies.
Blogging the 2009 Queensland State Election
