Contributors are representative, as long as they agree: How confirmation logic overrides effort to achieve synthesis in applied health research.

Introduction: The paradox of representation in public involvement in research is well recognized, whereby public contributors are seen as either too naïve to meaningfully contribute or too knowledgeable to represent 'the average patient'. Given the underlying assumption that expertise undermines contributions made, more expert contributors who have significant experience in research can be a primary target of criticism. We conducted a secondary analysis of a case of expert involvement and a case of lived experience, to examine how representation was discussed in each.

Participatory codesign of patient involvement in a Learning Health System: How can data-driven care be patient-driven care?

Background: A Learning Health System (LHS) is a model of how routinely collected health data can be used to improve care, creating 'virtuous cycles' between data and improvement. This requires the active involvement of health service stakeholders, including patients themselves. However, to date, research has explored the acceptability of being 'data donors' rather than considering patients as active contributors.

More than a method: trusting relationships, productive tensions, and two-way learning as mechanisms of authentic co-production.

Background: Knowledge mobilisation requires the effective elicitation and blending of different types of knowledge or ways of knowing, to produce hybrid knowledge outputs that are valuable to both knowledge producers (researchers) and knowledge users (health care stakeholders). Patients and service users are a neglected user group, and there is a need for transparent reporting and critical review of methods used to co-produce knowledge with patients. This study aimed to explore the potential of participatory codesign methods as a mechanism of supporting knowledge sharing, and to evaluate this from the perspective of both researchers and patients.