The Comprehensive Model of Personalised Care promotes choice and control for people over the way their healthcare is planned and delivered. This brings benefits to people’s health and wellbeing alongside improved health system efficiencies and savings. Despite having a core focus within UK health service policy, implementation of this multifaceted concept is complex and challenging. Whilst strides have been made towards personalised care becoming “business as usual”, universal adoption has been slow. Since 2018, the Wessex Academy for Skills in Personalised Care (WASP) has developed, tested and refined a training programme which strives to facilitate the changes required to put personalised care into practice. This programme includes three core elements: a) system-wide evaluation of personalised care delivery from the perspectives of multiple stakeholders, b) training for healthcare professionals to develop the attitudes, knowledge and skills required, and c) quality improvement training and mentorship to translate learning into change. (Figure 1). This study aims to evaluate the implementation of the WASP Programme and describe a) if/how it has brought change within healthcare teams, and b) the impacts on personalised care delivery within local services and systems, and the resultant benefits for patients. This is a mixed methods study with two concurrent work packages (WP). WP1 involves separate workshops with healthcare teams (n=2) who participated in the WASP programme between 2020-24. WP2 involves healthcare teams undertaking the 2025 programme (n=3) with data collected via online surveys and semi-structured interviews at several timepoints (Figure 2). To date, 25 clinicians have participated in data collection. Data analysis is framed through Normalisation Process Theory and the Consolidated Framework for Implementation Research. Early findings highlight many factors influencing personalised care and that delivery is impacted by cultural, operational and system barriers. Further refinement of the WASP programme will take these factors into consideration.