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使用“丰富的图片”促进研究共创中的系统思维。

Using a 'rich picture' to facilitate systems thinking in research coproduction.

机构信息

The Australian Prevention Partnership Centre, Sydney, Australia.

Menzies Centre for Health Policy and University Centre for Rural Health, School of Public Health, Faculty of Medicine, University of Sydney, Sydney, Australia.

出版信息

Health Res Policy Syst. 2020 Jan 31;18(1):14. doi: 10.1186/s12961-019-0514-2.

Abstract

BACKGROUND

In coproduction research, traditional 'end-users' are involved in the entire research process. The aim is to facilitate research translation by improving the timeliness and relevance of research. Because end-users often come from multiple sectors and hold diverse perspectives and priorities, involving them in coproduction can be challenging. Tools and approaches are needed to support coproduction teams to successfully navigate divergent viewpoints while producing rigorous but meaningful research outcomes. Rich pictures are a systems thinking tool to help make sense of complexity. In this paper, we describe how we developed and applied a 'rich picture' in a coproduction project with policy-level partners.

METHODS

Guided by systems thinking principles, we conducted a systemic analysis of ethnographic fieldnotes collected as part of a broader study that examined the dynamics between an IT system and the implementation of the state-wide childhood obesity prevention programmes it was designed to monitor. Translating qualitative themes into metaphor and imagery, we created a visual depiction of the system to reflect the experience of the system's users (health promotion practitioners) and facilitated a workshop with policy-level programme administrators (i.e. participants, n = 7). Our aim was to increase the transparency of the system for our research partners and to spark new insights to improve the quality of programme implementation.

RESULTS

Guided by provocative questions, participants discussed and challenged each other's thinking on the current functioning of the system. They identified future lines of inquiry to explore for quality improvement. Participants strongly agreed that the picture was a constructive way to engage with the ethnographic data but were challenged by the information and its implications. The opportunity for participants to co-learn from each other as well as from the picture was an added value.

CONCLUSION

In the context of the facilitated workshop, the rich picture enabled research partners to engage with complex research findings and gain new insights. Its value was harnessed via the guided participatory process. This demonstrates the importance that, in the future, such tools should be accompanied by practices that enable participants to think with and apply systems thinking concepts and principles.

摘要

背景

在共同生产研究中,传统的“最终用户”参与整个研究过程。目的是通过提高研究的及时性和相关性来促进研究转化。由于最终用户通常来自多个部门,持有不同的观点和优先事项,因此让他们参与共同生产可能具有挑战性。需要工具和方法来支持共同生产团队成功地驾驭不同的观点,同时产生严谨但有意义的研究成果。丰富的图片是一种帮助理解复杂性的系统思维工具。在本文中,我们描述了如何在与政策层面合作伙伴的共同生产项目中开发和应用“丰富图片”。

方法

在系统思维原则的指导下,我们对作为更广泛研究的一部分收集的民族志实地记录进行了系统分析,该研究考察了 IT 系统与旨在监测的全州儿童肥胖预防计划实施之间的动态关系。我们将定性主题转化为隐喻和图像,创建了系统的视觉描述,以反映系统用户(健康促进从业者)的体验,并为政策层面的项目管理员(即参与者,n=7)举办了一次研讨会。我们的目的是提高研究合作伙伴对系统的透明度,并激发新的见解,以提高计划实施的质量。

结果

在有启发性问题的指导下,参与者讨论并挑战了彼此对系统当前运作的思考。他们确定了未来可以探索的改进质量的调查方向。参与者强烈同意图片是一种与民族志数据进行互动的建设性方式,但他们对信息及其影响感到挑战。参与者有机会相互学习,以及从图片中学习,这是一个附加值。

结论

在有指导的研讨会背景下,丰富的图片使研究合作伙伴能够参与复杂的研究结果并获得新的见解。它的价值通过引导参与过程得到了利用。这表明,在未来,此类工具应该伴随着使参与者能够思考和应用系统思维概念和原则的实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0151/6995183/d004fa136451/12961_2019_514_Fig1_HTML.jpg

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