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All Journal Narra J Narra X
Nurjannah Nurjannah
Department of Public Health, Faculty of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia

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Hemostatic and liver function parameters as COVID-19 severity markers Qanita Iqbal; Mudatsir Mudatsir; Harapan Harapan; Nurjannah Nurjannah; Teuku Maulana
Narra J Vol. 4 No. 1 (2024): April 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v4i1.178

Abstract

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a disease newly discovered in December 2019 which affects coagulation cascade and liver functions. The aim of this study was to investigate the potential of hemostatic and liver function parameters as severity markers in COVID-19 patients. This study was an observational analytic with cohort retrospective design using total sampling method. Data were retrieved from medical record of COVID-19 patients admitted to provincial hospital in Banda Aceh, Indonesia from March 2020 to March 2022. There were 1208 data eligible for the study after applying certain criteria. Mann–Whitney, logistic regression, and receiving operating characteristic (ROC) analyses were used to analysis the data. Thrombocyte count (p<0.001), prothrombin time (p<0.001), activated partial thromboplastin time (p<0.001), D-dimer (p<0.001), fibrinogen (p<0.001), aspartate aminotransferase (p<0.001), and alanine transaminase (p<0.001) significantly increased in severe compared to mild COVID-19 patients. After being adjusted, age (odds ratio (OR); 1.026 (95% confidence interval (CI): 1.016–1.037) was the most significant factor in predicting COVID-19 severity. Fibrinogen (cut-off 526.5 mg/L) was the best parameter associated with COVID-19 severity with 70% sensitivity and 66.4% specificity. Meanwhile, D-dimer (cut-off 805 ng/mL) had a sensitivity of 72.3% and specificity of 66.4%. Combining the parameters resulted in improved sensitivity to 82.0% with a slight decline of specificity to 65.5%. In conclusion, fibrinogen and D-dimer level on admission could be used as biomarkers in predicting COVID-19 prognosis. Routine monitoring and evaluation of laboratory testing especially D-dimer and fibrinogen could be implemented in order to reduce morbidity and mortality rate of COVID-19.
Quality-adjusted assessment and determinants of midwife-delivered antenatal care performance in primary health services: Evidence from Indonesia Tilaili Ibrahim; Maimun Syukri; Hizir Sofyan; Nurjannah Nurjannah
Narra X Vol. 4 No. 2 (2026): August 2026 (In Press)
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v4i2.285

Abstract

Indonesia continues to face a high maternal mortality rate despite improvements in maternal health service coverage. Antenatal care (ANC) performance is commonly evaluated using service coverage indicators, such as first antenatal visit (K1) and fourth antenatal visit (K4). However, these indicators do not fully capture the quality of care delivered during ANC contacts. The aim of this study was to assess ANC implementation based on the Indonesian Ministry of Health 10T Standard (10T), develop quality-adjusted performance indicators integrating coverage and service quality, and identify factors associated with midwife performance in primary health services. A cross-sectional study was conducted among village midwives in Banda Aceh, Indonesia. ANC quality was assessed using 37 indicators derived from the 10T Standard, while midwife performance was evaluated using conventional coverage indicators and newly modified quality-adjusted indicators, namely modified K1 (K1mod) and modified K4 (K4mod). Individual, organizational, and psychological determinants of performance were analyzed using structural equation modeling (SEM). The results indicated that conventional ANC coverage was high, with mean K1 and K4 values of 99.61% and 91.51%, respectively. However, after adjustment for 10T implementation, performance declined substantially to 84.89% for K1mod and 77.94% for K4mod, indicating that coverage-based indicators overestimated actual performance. Implementation of the 10T Standard varied across components: medical identity recording (95.4±5.7%), medical examination (90.6±8.1%), and intervention (87.6±10.7%) were relatively well implemented, whereas some components, such as counseling or health education and nutritional assessment, were less consistently performed. Key gaps were observed in nutritional assessment. SEM showed acceptable model fit (RMSEA=0.038; GFI=0.971; AGFI=0.939; TLI=0.964; CFI=0.981). Organizational factors had the strongest direct effect on midwife performance (β=0.361, p<0.001) and ANC quality (β=0.310, p<0.001), followed by individual and psychological factors. ANC quality also had a significant direct effect on midwife performance (β=0.388, p<0.001) and mediated the effects of individual, organizational, and psychological factors. These findings indicate that high ANC coverage does not necessarily reflect high-quality service delivery. Quality-adjusted indicators provide a more comprehensive measure of midwife performance, and strengthening organizational support, particularly resources, leadership, and incentives, is essential to improve ANC quality and performance in primary health services.