Regional work plan development
Taking Stock 1.0
This report details the outcomes of the South East LHIN Hospice Palliative Care Steering Committee’s Taking Stock event held on June 20, 2016. This was the first engagement with palliative care stakeholders in the region and the feedback from this working session informed the palliative care work plan.
Taking Stock 2.0
Palliative care leaders across Southeastern Ontario were invited by the South East Regional Palliative Care Network (South East RPCN), to participate in an event held in Kingston, Ontario on Wednesday, March 27, 2017. Fifty four palliative care leaders spent the day co-designing the next palliative care work plan. The goal was to create a plan that builds on existing strengths and improves access to integrated, high-quality palliative care for patients and families.
The focus of the Taking Stock 2.0 event was to identify the priorities for focus in the next regional work plan by looking at successes, gaps and opportunities at a sub-regional level.
Regional engagement and feedback
To enable a common assessment of the current state of palliative care in our region many stakeholder groups were asked to consider themes and attributes of high-functioning models from around the world and across Canada were identified based on a review of key documents:
- Declaration of Partnership and Commitment to Action
- The Way Forward - Innovative Models of Hospice Palliative Care
- South East RPCN: Taking Stock 1.0
- South East LHIN IHSP 4
These themes and attributes were brought together to form a draft of an evidence-informed model of palliative care and this version of the model was provided to regional stakeholders for input. After much engagement, review, and input by several key stakeholders across the region, the final version of the model, referred to as the Evidence-Informed Model of Palliative Care was endorsed by the Regional Palliative Care Network and the South East LHIN. Given that there is much work yet to be done in the region and likely new perspectives to be captured over time, this model is considered to be an evolving model and likely to change over time.