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Table 1 Included publications (n = 10)

From: Best practice framework for Patient and Public Involvement (PPI) in collaborative data analysis of qualitative mental health research: methodology development and refinement

Ref.

CDA approach

Qualitative design

CDA related findings

[30]

Investigates the value of multiple coding in CDA

Case study

The team were able to develop a strong consensus on the data utilising multiple perspectives

[48]

Qualitative document analysis of NIHR PPI

Case study

Involving members of the public in analysis was successful

[32]

Co-research with people with learning disabilities

Reflective report on ethnographic study

People with learning disabilities can be co-researchers with appropriate support, time and financing

[31]

Methodology chapter exploring CDA theory and application

N/A

N/A

[33]

Investigates service users interpretations of qualitative data

Secondary analysis of papers coded by PPI vs. non-PPI researchers

Service user researchers brought a different perspective, coding according to experiences and feelings, whereas university researchers coded according to processes and procedures

[49]

Process and outcomes of involving service users in data analysis.

Case study

Developed a methodology for conducting long term CDA with people with life limiting conditions

[50]

Process of involving service users in CDA

Case study

Analysed the benefits and challenges of doing CDA with people exploring involvement of patients in medication safety

[51]

Investigates the value of multiple perspectives when interpreting transcripts.

Case study

Service user researchers enhanced the breadth and depth of findings, improving overall study quality

[52]

Describes service user involvement in data analysis

Participatory study

Identified the value of the service users in sharing their perspective in CDA

[53]

Describes involving people with mental health issues in long term CDA

Case study

Described a methodology for conducting long term CDA with people with mental health issues. Found that lack of service user input in early stages of the project impacted on the extent to which co-production was achieved