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Community-based primary care, such as general practice (GP) or urgent care, serves as the primary point of access to healthcare for most Australians and New Zealanders. Coronavirus disease 2019 (COVID-19) has created significant and ongoing disruptions to primary care. Traditional research methods have contributed to gaps in understanding the experiences of primary care workers during the pandemic. This paper describes a novel research design and method that intended to capture the evolving impact of the COVID-19 pandemic on primary care workers in Australia and New Zealand. Recurrent, rapid cycle surveys were fielded from May 2020 through December 2021 in Australia, and May 2020 through February 2021 in New Zealand. Rapid survey development, fielding, triangulated analysis and dissemination of results allowed close to real-time communication of relevant issues among general practice workers, researchers and policy-makers. A conceptual model is presented to support longitudinal analysis of primary care worker experiences during the COVID-19 pandemic in Australia and New Zealand, and key learnings from applying this novel method are discussed. This paper will assist future research teams in development and execution of policy-relevant research in times of change and may inform further areas of interest for COVID-19 research in primary care. [ABSTRACT FROM AUTHOR]

Background: Evidence-based decision-making is an important foundation for health policy and service planning decisions, yet there remain challenges in ensuring that the many forms of available evidence are considered when decisions are being made. Mobilising knowledge for policy and practice is an emergent process, and one that is highly relational, often messy and profoundly context dependent. Systems approaches, such as dynamic simulation modelling can be used to examine both complex health issues and the context in which they are embedded, and to develop decision support tools.Objective: This paper reports on the novel use of participatory simulation modelling as a knowledge mobilisation tool in Australian real-world policy settings. We describe how this approach combined systems science methodology and some of the core elements of knowledge mobilisation best practice. We describe the strategies adopted in three case studies to address both technical and socio-political issues, and compile the experiential lessons derived. Finally, we consider the implications of these knowledge mobilisation case studies and provide evidence for the feasibility of this approach in policy development settings.Conclusion: Participatory dynamic simulation modelling builds on contemporary knowledge mobilisation approaches for health stakeholders to collaborate and explore policy and health service scenarios for priority public health topics. The participatory methods place the decision-maker at the centre of the process and embed deliberative methods and co-production of knowledge. The simulation models function as health policy and programme dynamic decision support tools that integrate diverse forms of evidence, including research evidence, expert knowledge and localised contextual information. Further research is underway to determine the impact of these methods on health service decision-making. [ABSTRACT FROM AUTHOR]

Background: Primary healthcare researchers are under increasing pressure to demonstrate measurable and lasting improvement in clinical practice and healthcare policy as a result of their work. It is therefore important to understand the effectiveness of the research dissemination strategies used. The aim of this paper is to describe the pathways for research impact that have been achieved across several government-funded primary healthcare projects, and the effectiveness of these methods as perceived by their Chief Investigators.Methods: The project used an online survey to collect information about government-funded primary healthcare research projects. Chief Investigators were asked how they disseminated their findings and how this achieved impact in policy and practice. They were also asked to express their beliefs regarding the most effective means of achieving research impact and describe how this occurred.Results: Chief Investigators of 17 projects indicated that a number of dissemination strategies were used but that professional networks were the most effective means of promoting uptake of their research findings. Utilisation of research findings for clinical practice was most likely to occur in organisations or among individual practitioners who were most closely associated with the research team, or when research findings were included in educational programmes involving clinical practice. Uptake of both policy- and practice-related research was deemed most successful if intermediary organisations such as formal professional networks were engaged in the research. Successful primary healthcare researchers had developed critical relationships with intermediary organisations within primary healthcare before the initiation of the research and had also involved them in the design. The scale of research impact was influenced by the current policy environment, the type and significance of the results, and the endorsement (or lack thereof) of professional bodies.Conclusions: Chief Investigators believed that networks were the most effective means of research dissemination. Researchers who were embedded in professional, clinical or policy-focussed intermediary organisations, or had developed partnerships with clinical services, which had a vested interest in the research findings, were more able to describe a direct impact of their research. This suggests that development of these relationships and engagement of these stakeholders by primary healthcare researchers is a vital step for optimal research utilisation in the primary healthcare setting. [ABSTRACT FROM AUTHOR]