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

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.

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Publication Details

Journal
Unnes Journal of Public Health
Published
2025-04-15
DOI
https://doi.org/10.15294/ujph.v14i1.5796
Primary Topic
Quality and Safety in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Ilyas Masudin, R Arifin Dian, Zayra Ananda, Rahmat Wardana et al.
Unnes Journal of Public Health
Quality and Safety in Healthcare
article

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

Ilyas Masudin, R Arifin Dian, Zayra Ananda, Rahmat Wardana, Ika Hidayati
article en

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.

Unnes Journal of Public HealthVol. 14(1)
Universitas Muhammadiyah Jember (ID)
Openalex Percentile: Top 86%
Quality and Safety in Healthcare
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