Restuputri Dian, Zayra Ananda, Rahmat Wardana, Ilyas Masudin, Ika Hidayati

A Systematic Approach Utilizing the System Engineering Initiative for Patient Safety 2.0 Model to Mitigate Fatigue in ER

Introduction

A systematic approach utilizing the system engineering initiative for patient safety 2.0 model to mitigate fatigue in er. Mitigate ER healthcare worker fatigue using the SEIPS 2.0 model. Study reveals work system impacts fatigue, affecting worker well-being & patient care. Provides insights for healthcare organizations.

Abstract

The study focuses on addressing fatigue among healthcare workers in Emergency Room (ER), vital in delivering health services but prone to worker fatigue. Using objective measures like cardiovascular load (%CVL) and Bourdon Wiersma test, it evaluates physical and mental fatigue. Leveraging the System Engineering Initiative for Patient Safety 2.0 (SEIPS 2.0) model, it comprehensively analyzes factors affecting fatigue. Data collection includes surveys and statistical analysis through Structural Equation Modeling-Partial Least Squares (SEM-PLS). Results show all workers experience fatigue, with physical fatigue affected by age and gender, and mental fatigue influenced by workload. The outer model analysis confirms convergent and discriminant validity, and reliability of the constructs. The inner model analysis reveals the work system significantly affects fatigue, while the process does not. The study emphasizes the importance of addressing fatigue to improve worker well-being and enhance patient care in ER, providing actionable insights for healthcare organizations.

Review

This study presents a timely and crucial investigation into mitigating fatigue among healthcare professionals in Emergency Room (ER) settings, a recognized challenge with significant implications for both worker well-being and patient safety. Utilizing the robust System Engineering Initiative for Patient Safety 2.0 (SEIPS 2.0) model, the authors propose a systematic approach to comprehensively analyze the multifaceted factors contributing to fatigue. The paper's strength lies in its adoption of objective measures like cardiovascular load (%CVL) and the Bourdon Wiersma test, alongside subjective surveys, to assess both physical and mental fatigue, thereby providing a more holistic understanding of this complex phenomenon. The focus on a high-stakes environment like the ER further underscores the practical relevance of this research. Methodologically, the study employs Structural Equation Modeling-Partial Least Squares (SEM-PLS) to analyze survey data, allowing for a sophisticated exploration of relationships between constructs within the SEIPS 2.0 framework. The outer model analysis successfully confirms the convergent and discriminant validity, as well as the reliability of the measured constructs, which lends credibility to the subsequent findings. Key results indicate that all ER workers experience fatigue, with physical fatigue notably affected by age and gender, and mental fatigue primarily driven by workload. Interestingly, the inner model analysis reveals that while the work system significantly influences fatigue, the process component does not, offering a nuanced perspective that warrants further exploration and differentiation in future fatigue mitigation strategies. Overall, this research makes a valuable contribution by providing empirically-backed insights into the drivers of fatigue in ER environments. The findings, particularly the differential impact of the work system versus process, offer actionable insights for healthcare organizations aiming to design more effective interventions. By emphasizing the link between addressing fatigue, improving worker well-being, and enhancing patient care, the study advocates for a proactive, system-level approach to a pervasive problem. This systematic application of SEIPS 2.0 sets a commendable precedent for future investigations into human factors in healthcare, reinforcing the necessity of holistic approaches to optimize occupational health and service delivery.

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