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Interdisciplinary Research in Assessing Relationships between Environmental Mixtures and Birth Outcomes: What Are the Essential Components for Collaboration?

机译:评估环境混合物与出生结果之间关系的跨学科研究:协作的基本要素是什么?

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Despite the potential utility of interdisciplinary approaches in addressing complex environmental health research questions, there is paucity of research. The Data mining & Neonatal outcomes (DoMiNO) project is an interdisciplinary research which explored relationships between environmental mixtures and adverse birth outcomes using innovative data mining methods. The project applied a collaborative approach building on participation, expertise and perspectives of researchers, clinicians, and knowledge-users to gain new knowledge and facilitate knowledge translation. To better understand collaborative, interdisciplinary research, we used qualitative case study methodology to identify essential components that may support the interdisciplinary environmental research from the team's experience. Using the DoMiNO project as an exemplar case study of collaborative research, data were obtained from a focus group with ten DoMiNO team members. Applying thematic analysis we identified essential structures, mechanisms, and attributes that supported the interdisciplinary team including: keeping open channels for feedback and ongoing rapport; providing different opportunities for engagement, participation and learning; ensuring repetition of backgrounds, methods and processes in an inclusive and supportive environment. These components, built relationships, enabled learning and created bridges between team members and disciplines. Specific motivators for collaboration were identified: individual roles; sharing results; the need to be flexible, patient, open minded/'let go' of usual ways of thinking and leadership commitment to the team building process. Interdisciplinary research is a long and complex journey and could be challenged by its nature and context. The components described support the collaborative research process, resulting in a worthwhile experience which provided exciting results and knowledge translation and exchange activities with researchers and knowledge users.
机译:尽管跨学科方法在解决复杂的环境健康研究问题方面具有潜在的实用性,但研究却很少。数据挖掘与新生儿结局(DoMiNO)项目是一项跨学科研究,它使用创新的数据挖掘方法探索了环境混合物与不良出生结局之间的关系。该项目在研究人员,临床医生和知识用户的参与,专业知识和观点的基础上应用了一种协作方法,以获取新知识并促进知识翻译。为了更好地理解跨学科协作研究,我们使用定性案例研究方法从团队的经验中识别出可能支持跨学科环境研究的基本组成部分。使用DoMiNO项目作为合作研究的典型案例研究,从10名DoMiNO团队成员的焦点小组获得了数据。应用主题分析,我们确定了支持跨学科团队的基本结构,机制和属性,包括:保持开放的反馈渠道和持续的融洽关系;提供参与,参与和学习的不同机会;确保在包容性和支持性环境中重复背景,方法和过程。这些组件,建立的关系,使学习成为可能,并在团队成员和学科之间建立了桥梁。确定了具体的合作动机:个人角色;分享结果;需要灵活,耐心,豁达/放任自如的通常思维方式和对团队建设过程的领导承诺。跨学科研究是一个漫长而复杂的过程,可能会受到其性质和背景的挑战。所描述的组件支持协作研究过程,从而产生了宝贵的经验,这些经验提供了令人兴奋的结果以及与研究人员和知识用户的知识转化和交流活动。

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