DeGroote School of Business, McMaster University, Hamilton, Canada.
Telfer School of Management, University of Ottawa, Ottawa, Canada.
PLoS One. 2022 Aug 25;17(8):e0273077. doi: 10.1371/journal.pone.0273077. eCollection 2022.
Medical advancements are slow to reach the patient bedside due to issues with knowledge translation from preclinical studies. Multi-laboratory preclinical studies are a promising strategy for addressing the methodological deficiencies that weaken the translational impact of single laboratory findings. However, multi-laboratory preclinical studies are rare and difficult, requiring strong collaboration to plan and execute a shared protocol. In multiteam systems such as these, collaboration is enhanced when members have cohesive ways of thinking about their goals and how to achieve them-that is, when they have "shared mental models". In this research project, we will examine how members of Canada's first multi-laboratory preclinical study build shared mental models and collaborate in the execution of their study.
Six independent labs in Canada will conduct a preclinical study using a common protocol. To investigate mental models and collaboration in this multiteam system we will conduct a longitudinal qualitative study involving interviews at four time points, team observation, and document analysis. We will analyze interview transcripts using deductive coding to produce a matrix analysis of mental model content over time and inductive coding to produce a thematic analysis of members' experiences of collaboration over time. We will also triangulate data sources to "tell the story" of teamwork, capturing events and contextual information that explain changes in mental models and collaboration over time.
This study will be one of the most comprehensive longitudinal analyses of a real-world multiteam system, and the first within a preclinical laboratory setting. The results will contribute to our understanding of collaboration in multiteam systems, an organizational form increasingly used to tackle complex scientific and social problems. The results will also inform the implementation of future multi-laboratory preclinical studies, enhancing the likelihood of effective collaboration and improved 'bench to bedside' translation.
由于从临床前研究到知识转化的问题，医学进展缓慢，难以应用于临床。多实验室临床前研究是解决削弱单一实验室研究转化影响的方法学缺陷的一种很有前途的策略。然而，多实验室临床前研究很少见，而且实施起来非常困难，需要强有力的合作来规划和执行共同的方案。在这种多团队系统中，如果成员在思考目标和实现目标的方法上具有一致性，即当他们具有“共享心智模型”时，协作会得到加强。在这个研究项目中，我们将研究加拿大第一个多实验室临床前研究的成员如何构建共享心智模型，并在执行研究时进行协作。
加拿大的六个独立实验室将使用共同的方案进行临床前研究。为了研究这个多团队系统中的心智模型和协作，我们将进行一项纵向定性研究，包括在四个时间点进行访谈、团队观察和文档分析。我们将使用演绎编码分析访谈记录，以生成心智模型内容随时间变化的矩阵分析，以及使用归纳编码生成成员随时间变化的协作经验的主题分析。我们还将对数据源进行三角验证，以“讲述”团队合作的故事，捕捉随时间变化的心智模型和协作变化的事件和背景信息。
这项研究将是对真实世界多团队系统进行的最全面的纵向分析之一，也是首个在临床前实验室环境中进行的分析。研究结果将有助于我们理解多团队系统中的协作，这是一种越来越多地用于解决复杂科学和社会问题的组织形式。研究结果还将为未来多实验室临床前研究的实施提供信息，提高有效的协作和改善“从实验室到病床”的转化的可能性。
