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Akurasi COVID-19 Rapid Mortality Surveillance dalam Menentukan Dugaan Sebab Kematian akibat COVID-19 Zahira, Ravenna Salva; Manela, Citra; Amir, Arni; Suharti, Netti; Syamsir, Elmatris
Jurnal Ilmu Psikologi dan Kesehatan | E-ISSN : 3063-1467 Vol. 3 No. 1 (2026): April - Juni
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62379/jipk.v3i1.1683

Abstract

Background: COVID-19 Rapid Mortality Surveillance (CRMS) is a tool designed to differentiate suspected COVID-19-related deaths from other cause. Identifying the cause of death—particularly in relation to COVID-19—is crucial for understanding the epidemiology of the disease and for planning public health and safety. Objective: This study aimed to evaluate the accuracy of the COVID-19 Rapid Mortality Surveillance (CRMS) in determining suspected COVID-19-related death at Dr. M. Djamil Hospital, Padang. Methods: This study was a descriptive observational study involving 78 deceased patients, both COVID-19 and non-COVID-19 cases, at Dr. M. Djamil Hospital in 2021. Data were collected through interviews with the patients' family members. Accuracy was analyzed using receiver operating characteristic (ROC) curve analysis and 2×2 contingency table analysis. Results This study indicates that the most common gender of entire sample was female and the age group was >65 years old. The CRMS demonstrated a sensitivity of 84.2%, specificity of 85%, positive predictive value of 72.7%, negative predictive value of 91.9%, overall accuracy of 84.7%, and an area under the ROC curve (AUC) of 0.926. Conclusion: The CRMS shows high accuracy in identifying suspected COVID-19-related death.