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Dianinta, Ni Luh Marga
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Dentistry Health Professions Medicine & Pharmacology Nursing Public Health

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Modified Early Warning) Score Score in Early Detection of Deteriorating Patient Conditions in the ICU Angriawan, Angriawan; Sandra, Reghula Maryeti; Wardani, Nadya Ulfa Kesuma; Sari, Ayu Purnama; Dianinta, Ni Luh Marga
International Journal of Health Sciences Vol. 3 No. 4 (2025): IJHS : International Journal of Health Sciences
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59585/ijhs.v3i4.869

Abstract

Background: Patients in Intensive Care The intensive care unit (ICU) is at high risk for sudden deterioration. Early detection of changes in clinical status is crucial for improving patient outcomes. Modified Early Warning Score (MEWS) is a simple scoring system based on vital signs that is used to predict the likelihood of patient deterioration. Objective: This study aims to evaluate the effectiveness of using the MEWS score in early detection of worsening patient conditions in the ICU. Methods: The study used an observational quantitative design with a prospective cohort approach. The study sample was 60 ICU patients at Hospital “X” who were assessed using the MEWS score during 7 days of treatment. The observed variables were the MEWS score and the incidence of deterioration (increased need for mechanical ventilation, higher ICU transfer, or death). Analysis was performed using sensitivity, specificity, and logistic regression tests. Results: A MEWS score ≥5 had a sensitivity of 85% and a specificity of 78% in detecting patient deterioration. Regression analysis showed that the MEWS score significantly predicted the incidence of deterioration (p < 0.01). Conclusion: The MEWS score has been shown to be effective as an early detection tool for patient deterioration in the ICU. Routine use of this score can help nurses and physicians intervene more quickly.
Co-Authors Angriawan, Angriawan Sandra, Reghula Maryeti Sari, Ayu Purnama Wardani, Nadya Ulfa Kesuma