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Table 2 Key themes in data analysis

From: Learning to work together – lessons from a reflective analysis of a research project on public involvement

Coded theme Dimensions of the issue and reflective questions
Choice and limitations The problem of different roles, scope and resourcing
Who decides? Can PPI representatives change/increase their input if they want to?
Accessibility Literacy (health, educational, cognitive); mobility; distance; digital.
What are ‘reasonable’ adjustments? Can we ever be inclusive enough?
Diversity Socio-demographics of the ‘available and willing’ are not reflective of needs for some studies – different models can overcome this but how can we ensure diversity of views?
The ‘professional’ PPI representative – conflict between growing their expertise over time and their need to maintain a ‘lay’ perspective
Team relationships Important enabler of PPI input and maximising contribution.
Can become obligated/collusive. Need to avoid dependency.
Skills Interpersonal skills really important especially for the main PPI link. Also understanding of group dynamics.
Both researchers and PPI representatives need to be open to new ideas and learning.
Attitudes Respect, professionalism, honesty in all concerned (or involved)
Infrastructure The right inputs at all stages
Gaining and retaining funding
Gaining and retaining skills over time
Using networks
Bureaucratic issues ‘Employment’ or ‘volunteer’ status
Pay/tax/human resource requirements./consequences for benefits
Boundary issues Risks where personal needs and priorities dominate the PPI input
Pushback – not accepting limits of role or resources
Impact How do we define and measure impact?!