Year: 2025
Type: article
Abstract: OBJECTIVE: This study aimed to evaluate the effectiveness of the early detection of pre-eclampsia in pregnant women.METHODOLOGY: This study focuses on pregnant women in Tanggamus Regency, Lampung, using early detection tools of pre-eclampsia and anthropometric examination.A total of 198 participants were enrolled in the 3rd to 4th trimester.Statistical analysis was used to develop an online model to estimate pre-eclampsia risk.The application uses the waterfall method, which involves requirements, design, implementation, verification, and maintenance.RESULTS: The findings from the data analysis conducted in accordance with ISO 25010 standards evaluated two specific dimensions: functional suitability and usability.It was determined that the Preeclampsia Early Detection application software achieved an overall score of 88%.Using this model, the risks that pregnant women and the interventions they will experience will be known early, and pregnant women must undergo early detection of pre-eclampsia.CONCLUSION: Pre-eclampsia is associated with various factors including maternal age, the number of previous pregnancies (parity), the interval between pregnancies, body mass index (BMI), obesity, a history of chronic health conditions, dietary habits, levels of physical activity, smoking status, nutritional well-being, attendance at antenatal care (ANC) visits, the presence of family support, as well as maternal knowledge and attitudes towards pregnancy.
Authors: Anita Anita, Aprina Aprina, Titi Astuti
Institution: Poltekkes Kemenkes Tanjung Karang
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $150
OpenAlex ID: W7123354102
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