Menzies School of Health Research, Charles Darwin University, PO Box 41096, Darwin, Casuarina Northern Territory, 0811, Australia.
Adelaide Nursing School, The University of Adelaide, North Tce, Adelaide, SA, 5000, Australia.
Health Res Policy Syst. 2018 Nov 29;16(1):117. doi: 10.1186/s12961-018-0392-z.
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.
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.
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.
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.
参与式研究方法可提高证据在政策、项目和实践中的使用。很少有研究探讨如何扩大参与式研究以实现更广泛的系统改进或所需的努力强度。我们使用综合促进卫生服务研究实施行动(i-PARIHS)框架来分析互动式传播过程的实施情况,该过程使利益相关者参与澳大利亚土著初级保健中心的持续质量改进(CQI)数据。本文报告了有关扩大知识翻译研究、促进系统层面参与以及将 i-PARIHS 框架应用于系统层面干预的经验教训。
借鉴我们传播过程的发展评估,我们对来自项目记录的数据和对 30 名在澳大利亚一个司法管辖区的不同角色、组织类型和环境中从事土著健康工作的利益相关者的访谈进行了事后分析,同时还包括全国参与者。对内容分析的数据进行了映射,以检验影响该过程成功与否的因素。
传播过程的覆盖面很广,利益相关者使用汇总的 CQI 数据来确定整个护理范围内系统范围的优先证据实践差距、障碍和改进策略。影响成功的创新特征包括可信数据、在线传播和通过已建立的网络进行招聘、研究目标与利益相关者在知识共享和改善护理方面的兴趣以及报告和反馈的迭代阶段一致。CQI 的政策环境和基础设施以及经理的支持都影响了参与度。积极促进组织和地方层面参与的利益相关者对于将数据和外部研究团队与其他人联系起来非常重要。发展评估具有促进作用,因为它支持对利益相关者和环境的实时适应和调整。
无需大量的促进努力,即可成功地大规模实施参与式研究过程。这些发现拓宽了促进的概念,并支持将 i-PARIHS 框架用于规划系统层面的参与式知识转化研究。计划类似干预的研究人员应通过已建立的网络开展工作,并在研究设计中确定组织或地方层面的促进者。需要进一步研究系统层面干预中的促进作用以及其他环境中互动式传播过程的使用。