Making Sense of Simulation as a Complex Intervention in Health Care Systems

Area of Science:

• Healthcare Simulation
• Complexity Science
• Implementation Research

Background:

• Simulation is increasingly utilized for both clinical training and understanding healthcare system dynamics.
• As simulation integrates into daily healthcare, it is influenced by the realities of clinical work.
• This integration necessitates a new understanding of simulation's role and evolution within healthcare systems.

Purpose of the Study:

• To examine simulation as a complex intervention within complex healthcare systems.
• To offer a conceptual framework for understanding how simulation transforms once embedded in clinical practice.
• To shift focus from simulation design/implementation to its dynamic interaction with local conditions.

Main Methods:

• Conceptual analysis drawing on complexity science and implementation research.
• Examination of simulation as an intervention within dynamic healthcare environments.
• Perspective shift from prescriptive implementation to descriptive interaction.

Main Results:

• Simulation, when embedded, is not static but adapts to clinical work conditions.
• Variations in simulation outcomes reflect interaction with local healthcare contexts.
• Differences in simulation are not solely indicators of implementation failure.

Conclusions:

• Simulation's embeddedness in healthcare systems leads to its transformation.
• Understanding simulation requires appreciating its dynamic interplay with clinical realities.
• Simulation's value lies in its adaptive interaction, revealing insights into healthcare system functioning.