“We saw them as stories”- Understanding how multidisciplinary case review contributes to quality improvement in trauma care

The effects of quality improvement interventions in healthcare are mixed, and the mechanisms through which they mediate their effect remain poorly understood. Quality improvement methods often rest on implicit assumptions of predictability, linear causality, and standardisation. Health systems are increasingly recognised as complex adaptive systems, where outcomes emerge through adaptation, self-organisation and non-linear interactions. Trauma, defined as injury and the body’s response, is the leading global contributor to quality-related mortality. As trauma care involves a wide range of injuries, fragmentation across departments and time, and the need to coordinate care without complete information, it is well suited for examining how improvement unfolds in a complex adaptive system. Although trauma QI programs are widely used, particularly in high-income countries, how they contribute to improved care remains unclear.

We examined how multidisciplinary case review supported improvement in two tertiary hospitals in urban India, as part of a trauma QI program. Using reflexive thematic analysis informed by complexity theory, we identified four mechanisms: (1) system-level situational awareness, which helped providers see the system as a whole and understand how their actions affected care over time; (2) shared understanding, which created a common narrative that reduced blame and enabled collaborative problem-solving; (3) navigating systems of power, which involved working within constraints, using informal influence, and advocating for change where needed; and (4) ethical sensitisation, which emerged as providers saw the patient’s full story and experienced a personal, emotional recognition that change was necessary to avoid harm. We suggest that improvement may be understood as an emergent property in a complex adaptive system, and conditions that support the emergence of the mechanisms we identified may in turn lead to improvement in outcomes.