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Co-designing interventions to 'live well': experiences and perceptions of the Genetic, Undiagnosed and Rare Disease (GUaRD) community.

Inez BeadellMalia ByunHollie FellerMonica FerrieStephanie Best
Published in: Journal of community genetics (2023)
The Genetic, Undiagnosed and Rare Disease community faces a range of hurdles to live their 'best life' including physical, social and psychological barriers. They are also resilient and experiential experts with insight into what works and what could work for them. In this study, we aimed to identify and prioritise practical interventions the Genetic, Undiagnosed and Rare Disease community report could help them to 'live well'. Using a three-stage approach, we first analysed data from a year-long Genetic, Undiagnosed and Rare Disease journal study to record all the practical interventions reported, either trialled or proposed. Second, after grouping the interventions (n = 19) into four themes (support for individuals with GUaRD; support for carers of people with GUaRD; education/employment; transition), we presented the interventions to members of the GUaRD community (people with GUaRD, their carers and peer support group members) across three focus groups (n = 13). Focus group transcripts were analysed for refinements to the interventions, barriers and/or enablers to enacting them and for any additional interventions suggested. From this analysis, the interventions were grouped to identify specific actionable activities (n = 8). Finally, these eight interventions were discussed in a workshop with the GUaRD Community Advisory Group and prioritised using the APEASE framework. Prioritised interventions targeted a range of stakeholders and included creating a lived experience video library, supporting peer support groups with grant applications, and educating clinicians about referring to peer support groups. Further research is now required to test these findings before trialling and evaluating an intervention to measure the impact on the GUaRD community.
Keyphrases
  • physical activity
  • mental health
  • healthcare
  • gene expression
  • primary care
  • palliative care
  • genome wide
  • drug delivery
  • copy number
  • machine learning
  • dna methylation
  • big data
  • sleep quality