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All Journal Indonesian Journal of Urology Jurnal Kesehatan Andalas SOEPRA Jurnal Hukum Kesehatan Jurnal Hilirisasi IPTEKS (JHI) Buletin Ilmiah Nagari Membangun Majalah Kedokteran Andalas Journal of the Indonesian Medical Association : Majalah Kedokteran Indonesia Indian Journal of Forensic Medicine & Toxicology MAHESA : Malahayati Health Student Journal Jurnal Ilmu Kesehatan Indonesia (JIKSI) International Journal of Medicine and Health Jurnal Sains Farmasi dan Kesehatan Jurnal Ilmu Psikologi dan Kesehatan
Citra Manela
Universitas Andalas
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Akurasi COVID-19 Rapid Mortality Surveillance dalam Menentukan Dugaan Sebab Kematian akibat COVID-19 Ravenna Salva Zahira; Citra Manela; Arni Amir; Netti Suharti; Elmatris Syamsir
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.
Co-Authors Abdullah Arief Syahputra Addina, Azka Afdal . Afifa Humaira Afriwardi Afriwardi Almurdi Almurdi Amir, Arni Aulia Achmad, Baraz Deddy Saputra Defrin Defrin Dian Pertiwi Drivaldo Mulya Dwitya Elvira, Dwitya Elizabeth Bahar Elmatris Syamsir Eriko Prawestiningtyas Etriyel Myh Fadhilati Sabrina Fatimah Azahra Zetta Fortuna, Fory Ghina Khairunnisa Gilang Muhammad Fauzan Hasmiwati Hendriati Julizar Julizar Khairunnisa, Ainindia Lestari, Tuti Maria Nurlita Muthia Sukma Nadira Ismanel Tamura Netti Suharti Noverika Winda Sari Noverika Windasari Nur Indrawati Lipoeto Ovella April Rieza Pane, Farah Nur Arifti Popy Puspita Sari Putri Dianita Ika Meilia Putri, Biomechy Oktomalio Rahmadiyani, Rahmadiyani Rauffi Hayatul Putri Ravenna Salva Zahira Rika Susanti Rika Susanti Rinal Effendi Rini Rustini Sani Tanzilah Savitri, Melvinia Sawitri, Retno Syahrul, M. Zulfadli Syandrez Prima Putra Taufik Hidayat Taufik Hidayat Taufik Hidayat Ulya Uti Fasrini Utami Yuliandini Yaslinda Yaunin Zhafira Ferin Zulfiqar, Yevri