Do GPs Make Good Research Participants?

Background Childhood cancers cause the largest numbers of deaths by disease in children aged 0-14 years1 with more than 400 children a year dying from cancer in the UK.2 Parental preference for their child to die within the family home2 coupled with the speciality of children’s palliative care medicine being still in its infancy, highlights the importance of the GP’s role in this highly specialised area of clinical practice. An understanding of the GP’s role will help inform the development of this specialty and identify best collaborative practice. A NIHR/CAT CL funded study examined the role of the GP in paediatric oncology palliative and bereavement care from the perspective of both the GP and the bereaved parent. This presentation will detail how GPs were approached and recruited, the reasons GPs declined participation and factors influencing the actual data collection. Methods The mixed method study used both qualitative and quantitative data collection methods. Phase 1: Semi-structured interviews to explore the experiences of GPs and parents. Phase 2: Q methodology with GPs who had a child with cancer on their caseload. Q methodology is a research tool that uses statistical analysis to cluster participants’ experiences according to similarity of their viewpoint Results The method and effectiveness of recruiting GPs for both phases of the study will be presented. In addition factors influencing collecting such emotive and sensitive data will be discussed. Conclusions Researcher flexibility and perseverance in participant recruitment was rewarded by the rich data collected. Findings from this study have identified four different GP role viewpoints and have provided a new dimension in understanding GP viewpoints on their role in this arena.

Common Environment for Undergraduate Computer Programming

We present an Integrated Environment suitable for learning and teaching computer programming which is designed for both students of specialised Computer Science courses, and also non-specialist students such as those following Liberal Arts. The environment is rich enough to allow exploration of concepts from robotics, artificial intelligence, social science, and philosophy as well as the specialist areas of operating systems and the various computer programming paradigms.