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O-9  Reflections on an evolving @weeolc twitter community influencing clinical practice, leadership, quality and self
  1. Sarah Russell1,
  2. Bridget Johnston2 and
  3. Laura Green3
  1. 1Hospice UK, London, UK
  2. 2School of Medicine, Dentistry and Nursing/University of Glasgow
  3. 3Marie Curie/University of Bradford

Abstract

Background Three clinical academic nurses with palliative care backgrounds established @WeEOLC as part of the @WeNurses Twitter community in October 2015. The social media platform Twitter has the potential to influence care through the sharing of knowledge and practice as well as provoking discussion and debate (Russell et al., 2015). The focus of this abstract is to consider whether Twitter can assist in the achievement of improving evidence-based practice in palliative and end-of-life care through the learning outcomes framework of clinical practice, leadership, quality improvement and developing self (Taylor 2016).

Aim To share reflections on the value of engagements of @WeEOLC.

Method Established the twitter handle @WeEOLC #WeEOLC to start and join in conversations. Scheduled regular chats with diverse guest hosts. Provided regular signposting of links to articles, blogs and resources. Analysis of chats and conversations.

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ResultsAnalysis of chats, contributor profiles and timelines provide rich insights into online activity. Simply counting the number of contributors and tweets does not reveal the full influence of @WeEOLC. Chat and conversation contributors come from a wide background (e.g. clinicians, non-clinical, academics in social sciences, patients, families and interested parties). There is evidence of new connections and partnerships as well as a broad scope of interactive discussions, shared resources, evidence and reflections.

Conclusion Participation in platforms such as Twitter can support clinical and academic roles. By providing a non-hierarchical forum for learning and sharing, it contributes to clinical care, leadership and quality. Future work needs to develop methods of analysing and disseminating qualitative content as well as the quantitative reach of Twitter engagement.

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