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Volume 16, Issue 4 (2024)
Iran J War Public Health 2024, 16(4): 375-380 |
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Ethics code: 893.3/066/438.5.2.1.1/2023
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Received: 2024/11/1 | Accepted: 2024/12/3 | Published: 2024/12/15
Received: 2024/11/1 | Accepted: 2024/12/3 | Published: 2024/12/15
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Riu S, Nursalam N, Nusi T, Yahya I, Rahil N, Taplo Y. Effect of Emergency Nurses’ Work Stress, Workload, and Motivation on Emergency Severity Index Implementation. Iran J War Public Health 2024; 16 (4) :375-380
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1- Department of Advanced Nursing, Faculty of Nursing, Airlangga University, Surabaya, Indonesia
2- Department of Nursing, Faculty of Health Science, Muhammadiyah University Manado, Manado, Indonesia
3- Department of Nursing, College of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan
4- Department of Nursing, College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow, Scotland
2- Department of Nursing, Faculty of Health Science, Muhammadiyah University Manado, Manado, Indonesia
3- Department of Nursing, College of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan
4- Department of Nursing, College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow, Scotland
Abstract (389 Views)
Aims: This study aimed to identify the relationship between emergency room nurses’ work stress, workload, and motivation with implementing the Emergency Severity Index triage system.
Instrument & Methods: This cross-sectional study was conducted at the X Regional General Hospital with a sample of 72 emergency room nurses. The questionnaires were validated to assess work stress, workload, motivation, and Emergency Severity Index implementation. Data were analyzed through descriptive statistics and multiple linear regression to ascertain the relationship between the explanatory variables (including work stress, workload, and motivation) and the dependent variable (Emergency Severity Index implementation).
Findings: All three independent variables and Emergency Severity Index implementation had statistically significant positive relationships. The final model revealed workload as the strongest variable (B=0.14; p=0.002), followed by work stress (B=0.24; p=0.015) and motivation (B=0.1; p=0.046). The regression model accounted for 27% of the variability in Emergency Severity Index implementation (adjusted R2=0.27).
Conclusion: Workload is the most significant factor affecting Emergency Severity Index implementation, followed by work stress and motivation.
Instrument & Methods: This cross-sectional study was conducted at the X Regional General Hospital with a sample of 72 emergency room nurses. The questionnaires were validated to assess work stress, workload, motivation, and Emergency Severity Index implementation. Data were analyzed through descriptive statistics and multiple linear regression to ascertain the relationship between the explanatory variables (including work stress, workload, and motivation) and the dependent variable (Emergency Severity Index implementation).
Findings: All three independent variables and Emergency Severity Index implementation had statistically significant positive relationships. The final model revealed workload as the strongest variable (B=0.14; p=0.002), followed by work stress (B=0.24; p=0.015) and motivation (B=0.1; p=0.046). The regression model accounted for 27% of the variability in Emergency Severity Index implementation (adjusted R2=0.27).
Conclusion: Workload is the most significant factor affecting Emergency Severity Index implementation, followed by work stress and motivation.
Keywords:
Emergency Room Visits [MeSH], Motivation [MeSH], Health Services [MeSH], Hospitals [MeSH], Triage [MeSH], Workload [MeSH]
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