O-02 The development of a tool to streamline analysing and displaying patient centred outcome measures in end of life care services

Patient Centred Outcome Measures (PCOMs) such as Phase of Illness or IPOS are highly valued for individual patient level clinical care but seldom used to test or demonstrate cumulative impact of an end of life care service in more strategic conversations (Bradshaw, Santarelli, Mulderrig, et al. Palliat Med. 2021; 35(2): 397–407). PCOMs enable a service to demonstrate quality personalised care alongside more traditional activity analysis such as the avoidance of acute bed days and admissions. We aspired to build a tool to streamline analysing and sharing aggregate PCOMs for end of life care services; both to enable easier cumulative measurement of quality care beyond individual patient experiences and to assist with suitable adaptions and scale of service models. The project team identified four widely used PCOM measures to build an alpha version of the tool in PowerBI (Pearson, et al. Pro Microsoft Power Platform. 2020). Whilst building the overarching tool, it was identified that different organisations and service teams had different levels of resource and expertise. We thus produced three additional resources alongside the tool to ensure it is pragmatic for a variety of organisations outside of academic research. The tool has a Creative Commons License to ensure all organisations can shape and use the tool for their own needs. The tool and the supporting materials are publicly available and ready for use. We anticipate having preliminary results from tool use in Summer 2023. We have started to use the tool’s analysis and visuals with three partner organisations to explore how best they can collect, analyse, display and share PCOMs. We aspire to share the initial results from this process and our evaluation of the tool’s strengths and weaknesses by November 2023. Conclusions from our initial design of the tool have highlighted that this methodology can be used for wider PCOMs. A dynamic datasest that is attractively presented and easily interrogated can effectively engage clinicians in service improvement.