Reflections and practical tips from co-producing an intervention with neurodiverse children, their families, and professional stakeholders.

Autor: Armitt, Hannah A., Attwell, Leah, Kingsley, Ellen N., White, Piran C. L., Woolley, Kat, Garside, Megan, Green, Natasha, Coventry, Peter A.
Předmět:
Zdroj: Humanities & Social Sciences Communications; 6/22/2024, Vol. 11 Issue 1, p1-11, 11p
Abstrakt: Transdisciplinary co-produced health research and co-designed interventions have the capacity to improve research quality and the relevance, acceptability, and accessibility of healthcare. This approach also helps researchers to address power imbalances to share decision-making with service-users and the public. However, this growing methodology is currently difficult to appraise and develop as detailed sharing of practice is limited. The 'CO-production of a Nature-based Intervention For children with ADHD study' (CONIFAS) aimed to create a novel intervention with and for children with attention deficit hyperactivity disorder (ADHD) using co-production and co-design methodologies. This knowledge exchange paper will be of benefit to researchers with aspirations to undertake co-production, especially in the context of working with under-represented groups. Critical reflection on the use of co-production identified that every attempt was made to adequately resource the co-production, share power, value diversity, and develop trust. The team reflected that the re-conceptualisation of the role of the researcher in co-production can be challenging. Whilst the use of models of co-production provides a framework for study development, designing and running the specifics of the workshops, as well as how to effectively engage co-researchers in an equitable way, came from utilising clinical skills, networking, and creativity. These methods are particularly pertinent to involving neurodiverse children and their families who are under-represented in participatory research and in need of bespoke health interventions. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index