Maternal Risk Factors in Predicting Pregnancy Risk Levels Using the PRESMIL Application
Keywords:
PRESMIL, Risk Prediction, Risk Prevention, Pregnant Women, Maternal HealthAbstract
OBJECTIVE: To analyze various factors related to pregnancy risks among pregnant women.
METHODOLOGY: This study was conducted at six health centres (Sungai Besar Community, Guntung Manggis Community, Landasan Ulin Timur Community, Cempaka Community Health Centre, Pemulangan Dalam Community Health Centre, Tambarangan Community Health Centre) in South Kalimantan from April to November 2025, and used a cross-sectional design. The study area had a total of 133 pregnant women. Simple random sampling was used. Using the Slovin formula, 100 participants were selected. SPSS and the chi-square test were used to analyze data collected via a questionnaire. PRESMIL is a scientifically validated mobile pregnancy risk screening application (S-CVI/Mean 0.94; Cronbach's alpha 0.75). This application effectively identifies risk factors for pregnancy complications, is easily accessible, integrates with community health centre documentation systems, and is evidence-based, supporting early detection of high-risk pregnancies in Indonesia.
RESULTS: The findings show that several factors are closely related to pregnancy, including age, parity, and pregnancy interval, each with a p-value of 0.000. This is not much different from factors such as a history of cesarean delivery, miscarriage, fetal abnormalities, and anemia, with p-values ??of 0.003; 0.001; 0.007; and 0.005 respectively.
CONCLUSION: It was concluded that the PRESMIL application could assess the risk of pregnancy and provide preventive measures to reduce the risk of pregnancy.
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