# Assessment of the organizational factors in incident management practices in healthcare: A tree augmented Naive Bayes model

## TL;DR

This study uses a Bayesian model to show how organizational factors like staff morale affect incident management in healthcare.

## Contribution

The study introduces a Tree Augmented Naive Bayes model to analyze organizational factors in healthcare incident management.

## Key findings

- Organizational factors significantly influence incident management practices.
- Morale and staff engagement are critical in shaping incident management outcomes.
- The Bayesian model provides a visual representation of probabilistic relationships between factors.

## Abstract

Despite the exponential transformation occurring in the healthcare industry, operational failures pose significant challenges in the delivery of safe and efficient care. Incident management plays a crucial role in mitigating these challenges; however, it encounters limitations due to organizational factors within complex and dynamic healthcare systems. Further, there are limited studies examining the interdependencies and relative importance of these factors in the context of incident management practices. To address this gap, this study utilized aggregate-level hospital data to explore the influence of organizational factors on incident management practices. Employing a Bayesian Belief Network (BBN) structural learning algorithm, Tree Augmented Naive (TAN), this study assessed the probabilistic relationships, represented graphically, between organizational factors and incident management. Significantly, the model highlighted the critical roles of morale and staff engagement in influencing incident management practices within organizations. This study enhances our understanding of the importance of organizational factors in incident management, providing valuable insights for healthcare managers to effectively prioritize and allocate resources for continuous quality improvement efforts.