1- Dept. of Critical Care Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran
2- Dept. of Critical Care Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran; Nursing and Midwifery Care Research Center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran
3- Dept. of Biostatistics, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
4- Dept. of Critical Care Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran ,mehraneshali@yahoo.com
2- Dept. of Critical Care Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran; Nursing and Midwifery Care Research Center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran
3- Dept. of Biostatistics, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
4- Dept. of Critical Care Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran ,
Abstract: (12 Views)
Background & Aim: Determining the amount of risk that threatens patients can lead to making correct treatment decisions. This study aimed to determine the diagnostic accuracy of early warning scores in prehospital care for diagnosing traumatic brain injury and the need for intensive care unit admission.
Methods & Materials: This descriptive-analytical study was conducted in 2024 among patients referred to the emergency department of selected hospitals affiliated with Tehran University of Medical Sciences. Using convenience sampling, 250 trauma patients were enrolled in the study. Data collection was carried out utilizing a demographic questionnaire and various scoring systems, including the National Early Warning Score 2 (NEWS2), Modified Early Warning Score (MEWS), Triage Early Warning Score (TEWS), and Modified Emergency Medical Score (MREMS). SPSS version 16 software and sensitivity, specificity, area under the curve, and confidence interval tests were used to analyze the data.
Results: The mean age of the patients was 40.90±15.78 years. According to the findings, 217 patients (86.8%) had a diagnosis of traumatic brain injury and 70 patients (28%) required intensive care unit admission. The National Early Warning Score 2 showed the highest diagnostic accuracy with sensitivity (82.2%), specificity (81.1%), and area under the curve (0.88).
Conclusion: The higher diagnostic accuracy of the National Early Warning Score 2 makes it a valuable tool for identifying patients who have sustained traumatic brain injury and require intensive care unit admission.
Methods & Materials: This descriptive-analytical study was conducted in 2024 among patients referred to the emergency department of selected hospitals affiliated with Tehran University of Medical Sciences. Using convenience sampling, 250 trauma patients were enrolled in the study. Data collection was carried out utilizing a demographic questionnaire and various scoring systems, including the National Early Warning Score 2 (NEWS2), Modified Early Warning Score (MEWS), Triage Early Warning Score (TEWS), and Modified Emergency Medical Score (MREMS). SPSS version 16 software and sensitivity, specificity, area under the curve, and confidence interval tests were used to analyze the data.
Results: The mean age of the patients was 40.90±15.78 years. According to the findings, 217 patients (86.8%) had a diagnosis of traumatic brain injury and 70 patients (28%) required intensive care unit admission. The National Early Warning Score 2 showed the highest diagnostic accuracy with sensitivity (82.2%), specificity (81.1%), and area under the curve (0.88).
Conclusion: The higher diagnostic accuracy of the National Early Warning Score 2 makes it a valuable tool for identifying patients who have sustained traumatic brain injury and require intensive care unit admission.
Type of Study: Research |
Subject:
Nursing Care
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