When the Workforce Breaks: Developing a SEA-Based Early Warning Risk Index for Health Systems Saturation and Collapse

Abstract

Health systems increasingly operate under sustained workforce pressures that may lead to saturation and eventual collapse. However, existing performance frameworks often fail to capture early warning signals related to workforce dynamics. This study aims to develop a SEA-based Early Warning Risk Index to assess health system vulnerability from a workforce perspective, with a particular focus on burnout and attrition as leading indicators of system degradation.

A qualitative approach was employed, integrating qualitative data from semi-structured interviews with 15 health system stakeholders and a targeted synthesis of relevant studies. Interview questions were explicitly designed to elicit early warning signals of workforce-related stress. Thematic analysis identified key domains of workforce degradation, including workload escalation, workforce depletion, burnout, attrition, and adaptation failure. These themes were systematically translated into measurable indicators and mapped onto the SEA framework, encompassing Stability, Efficiency, and Adaptability.

The findings demonstrate that workforce-related stressors operate as early warning signals that precede observable system failure. While stability and efficiency are progressively weakened under pressure, the loss of adaptability primarily driven by burnout emerges as a critical tipping point toward system saturation. Based on these insights, a composite risk index was developed, enabling the integration of multiple indicators into a unified 0–100 scale for continuous monitoring and cross-system comparison.

Although the model assumes equal weighting across SEA dimensions, the results suggest that adaptability may exert a disproportionately greater influence on system resilience. Future research should refine the weighting structure to improve predictive accuracy. Overall, the proposed framework offers a practical and theory-driven tool for early detection of health system risk, supporting timely intervention before the onset of collapse.