Broadening diversity through creative involvement to identify research priorities

Abstract

BackgroundPatient and public involvement (PPI) can help with steering and shaping research prioritisation and execution. However, some groups of people may not be encouraged to take part and their voices may be seldom listened to in the production of research. This is important to consider because they may have poorer healthcare experiences. We tried using art as a vehicle for including individuals not necessarily invited to be part of research priority setting.MethodsWe contacted existing groups and organisations to reach people not routinely supported to be part of PPI. We targeted individuals: a) with dementia, b) with a mental and physical health condition, c) of South Asian heritage. We ran a workshop with each group at which individuals shared their experiences of healthcare. A young amateur artist also attended, who produced a piece of artwork afterwards that reflected the research priorities raised. We held a Twitter chat to discuss these pieces of art and the processes involved in their generation.ResultsFrom each workshop, we produced a list of research priorities. These included: a) improving coordination of care for people with dementia, b) information needs and anxiety/guilt around accessing care for people with physical and mental health conditions, c) supporting discussion of women’s health issues in South Asian communities. These priorities were reflected in three pieces of art, which can be viewed online. Feedback from those at workshops suggested that the artwork helped them to feel that their voice had been heard and triggered their interest in how research is developed. Those involved in the Twitter chat commented that art was one means through which researchers could connect with a range of groups in a PPI context when preparing and producing a study.ConclusionsWe found the medium of art to be an effective way of including a range of people in research prioritisation setting. This approach could be useful for future PPI, building on what we have learnt from the project described in this paper.