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On the same page? A qualitative study protocol on collaboration in a multi-laboratory preclinical study.

Jenna M Evans1, Alexander Peever1, Agnes Grudniewicz2

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This study examines how members of Canada's first multi-laboratory preclinical study build shared mental models and collaborate. Understanding this collaboration is key to improving the translation of medical advancements from the lab to the patient.

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Area of Science:

  • Translational science
  • Organizational psychology
  • Medical research

Background:

  • Medical advancements face delays in patient application due to knowledge translation challenges.
  • Multi-laboratory preclinical studies offer a solution to methodological weaknesses in single-lab findings.
  • Effective collaboration, driven by shared mental models, is crucial for multiteam systems.

Purpose of the Study:

  • To investigate the development of shared mental models within Canada's first multi-laboratory preclinical study.
  • To analyze how collaboration is fostered and evolves in this complex research environment.
  • To enhance the understanding of teamwork in multiteam systems for improved scientific translation.

Main Methods:

  • A longitudinal qualitative study design was employed.
  • Data collection included interviews at four time points, team observation, and document analysis.
  • Deductive and inductive coding were used for matrix and thematic analysis, with data triangulation.

Main Results:

  • The study provides a comprehensive longitudinal analysis of a real-world multiteam system in a preclinical setting.
  • It details the evolution of shared mental models and collaborative experiences over time.
  • The findings offer insights into the dynamics of teamwork in complex scientific endeavors.

Conclusions:

  • This research contributes to understanding collaboration in multiteam systems, an increasingly common organizational structure.
  • The results will inform the design and execution of future multi-laboratory preclinical studies.
  • Improved collaboration is expected to enhance 'bench to bedside' translation of medical innovations.