Application of the i-PARIHS framework for enhancing understanding of interactive dissemination to achieve wide-scale improvement in Indigenous primary healthcare.

BACKGROUND: Participatory 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. METHODS: Drawing 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. RESULTS: The 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. CONCLUSIONS: A 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.

Wide-Scale Continuous Quality Improvement: A Study of Stakeholders' Use of Quality of Care Reports at Various System Levels, and Factors Mediating Use.

Introduction: Increasing the use of evidence in healthcare policy and practice requires greater understanding of how stakeholders use evidence to inform policy, refine systems and change practice. Drawing on implementation theory, we have used system-focused participatory research to engage diverse stakeholders in using aggregated continuous quality improvement (CQI) data from Australian Indigenous primary health care settings to identify priority evidence-practice gaps, barriers/enablers and strategies for improvement. This article reports stakeholders' use or intended use of evidence at various levels of the system, and factors mediating use. Material and Methods: Interviews were undertaken with a purposeful sample of 30 healthcare stakeholders in different roles, organization types and settings in one Australian jurisdiction and with national participants, as part of the project's developmental evaluation. Qualitative data were analyzed to identify themes and categories relating to use of evidence. Results: Context-specific aggregated CQI data that were relatable to the diverse professional roles and practices provided an effective starting point for sharing perspectives, generating practice-based evidence and mobilizing evidence-use. Interviewees perceived the co-produced findings as applicable at different levels and useful for planning, policy development, supporting best practice and reflection, capacity strengthening and developing new research. Factors mediating use were commitment to best practice; the credibility of the evidence and its perceived relevance to work roles, contexts and decision needs; report format and language; facilitation and communication; competing work pressures and the organizational environment for change. Conclusions: This study found that primary health care stakeholders used evidence on quality of care for a variety of purposes. This could be linked to the interactive research processes used to engage stakeholders in different roles and settings in interpreting data, sharing and generating knowledge. Findings indicate that system-based participatory research using CQI data and iterative, interactive and systematic CQI-based methods can be applied at scale to support concurrent action for healthcare improvement at different system levels. Factors known to influence implementation should be addressed within the research design to optimize evidence use. Further research is needed to explore the utility of interactive dissemination for engaging healthcare stakeholders in informing policy and system change.