Abstract

BackgroundParticipatory research approaches improve the use of evidence in policy, programmes and practice. Few studies have addressed ways to scale up participatory research for wider system improvement or the intensity of effort required. We used the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework to analyse implementation of an interactive dissemination process engaging stakeholders with continuous quality improvement (CQI) data from Australian Indigenous primary healthcare centres. This paper reports lessons learnt about scaling knowledge translation research, facilitating engagement at a system level and applying the i-PARIHS framework to a system-level intervention.MethodsDrawing on a developmental evaluation of our dissemination process, we conducted a post-hoc analysis of data from project records and interviews with 30 stakeholders working in Indigenous health in different roles, organisation types and settings in one Australian jurisdiction and with national participants. Content-analysed data were mapped onto the i-PARIHS framework constructs to examine factors contributing to the success (or otherwise) of the process.ResultsThe dissemination process achieved wide reach, with stakeholders using aggregated CQI data to identify system-wide priority evidence–practice gaps, barriers and strategies for improvement across the scope of care. Innovation characteristics influencing success were credible data, online dissemination and recruitment through established networks, research goals aligned with stakeholders’ interest in knowledge-sharing and motivation to improve care, and iterative phases of reporting and feedback. The policy environment and infrastructure for CQI, as well as manager support, influenced participation. Stakeholders who actively facilitated organisational- and local-level engagement were important for connecting others with the data and with the externally located research team. Developmental evaluation was facilitative in that it supported real-time adaptation and tailoring to stakeholders and context.ConclusionsA participatory research process was successfully implemented at scale without intense facilitation efforts. These findings broaden the notion of facilitation and support the utility of the i-PARIHS framework for planning participatory knowledge translation research at a system level. Researchers planning similar interventions should work through established networks and identify organisational- or local-level facilitators within the research design. Further research exploring facilitation in system-level interventions and the use of interactive dissemination processes in other settings is needed.

Highlights

  • Participatory research approaches improve the use of evidence in policy, programmes and practice

  • These findings broaden the notion of facilitation and support the utility of the i-PARIHS framework for planning participatory knowledge translation research at a system level

  • The framework for analysis: i-PARIHS We identified the i-PARIHS framework post-hoc as a potentially useful analytical aid to provide insights into the characteristics of, and interrelationships between, (1) the Engaging Stakeholders in Identifying Priority EvidencePractice Gaps (ESP) design and implementation, (2) stakeholder engagement, (3) influences in the Indigenous primary healthcare (PHC) environment and (4) refinements made during implementation

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Summary

Introduction

Participatory research approaches improve the use of evidence in policy, programmes and practice. Little is known about how to scale up participatory research and integrate evidence use for wider system improvement and population health impact [7], or the resources required for productive researcher–user collaboration at a system level [7, 8] These gaps in knowledge provide scope to explore whether (and how) the feedback and interpretation processes used to engage healthcare teams with local audit data [9] can be scaled to target higher-level system change, and the intensity of facilitation effort required. Integrating four constructs commonly identified in knowledge translation literature (i.e. context, innovation features, individual characteristics and implementation processes), the framework draws on theory about how organisations learn and considers the wider implementation context [12, 13] These features suggest i-PARIHS has utility for evidence use at higher levels of the health system such as regional and national levels. I-PARIHS has not been applied as an analytical framework to examine implementation constructs within a system level research project

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