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Adopting Best Practices from Team Science in a Healthcare Improvement Research Network: The Impact on Dissemination and Implementation

机译:在医疗保健改善研究网络中采用团队科学的最佳实践:对传播和实施的影响

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摘要

Healthcare is a complex adaptive system, and efforts to improve through the implementation of best practice are well served by various interacting disciplines within the system. As a transdisciplinary model is new to clinicians, an infrastructure that creates academic-practice partnerships and builds capacity for scientific collaboration is necessary to test, spread, and implement improvement strategies. This paper describes the adoption of best practices from the science of team science in a healthcare improvement research network and the impact on conducting a large-scale network study. Key components of the research network infrastructure were mapped to a team science framework and evaluated in terms of their effectiveness and impact on a national study of nursing operations. Results from this study revealed an effective integration of the team science principles which facilitated the rapid collection of a large dataset. Implications of this study support a collaborative model for improvement research and stress a need for future research and funding to further evaluate the impact on dissemination and implementation.
机译:医疗保健是一个复杂的适应性系统,系统中各种相互配合的学科很好地服务于通过实施最佳实践进行改进的努力。由于跨学科模型对于临床医生来说是新事物,因此建立基础设施,以建立学术实践伙伴关系并建立科学合作能力,对于测试,传播和实施改进策略是必要的。本文介绍了在医疗保健改善研究网络中采用团队科学科学的最佳实践以及对进行大规模网络研究的影响。研究网络基础结构的关键组件被映射到团队科学框架,并根据其有效性和对全国护理操作研究的影响进行评估。这项研究的结果表明,团队科学原理得到了有效整合,从而促进了大型数据集的快速收集。本研究的意义支持改进研究的协作模型,并强调需要未来的研究和资金以进一步评估对传播和实施的影响。

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