“Preeclampsia.com” App To Preeclampsia Screening At Community Level: A Cohort Study

Abstract

Indonesian maternal mortality in 2012, 32.5% was caused by hypertension, preeclampsia, and eclampsia, while 24.22% in 2015 and 26% in 2016. Currently, there is no method of screening for preeclampsia based on maternal characteristics that were carried out during the first visit antenatal. The use of technology has great potential to improve health care at the community, especially in low-middle income countries. It is necessary to make a breakthrough in the form of developing a screening model for preeclampsia by utilizing information technology. This study aims to determine the detection rate of the application of preeclampsia.com as a community-based preeclampsia screening tool. This study was conducted by cohort study on 549 pregnant women who had their first antenatal visit before 16 weeks followed up to delivery. Data analysis was data of factors for the occurrence of preeclampsia using Chi square, while to determine the strength of the “Preeclampsia.com” model as a screening method and early detection of preeclampsia using multilevel logistic regression, analysis performed using SPSS version 23.0. The results of the analysis showed that the sensitivity value of the "Preeclampsia.com" application was 64.1% and the specificity value was 85.5% (95% CI). The Positive Predictive Value (PPV) from the "preeclampsia.com" application is 25.3% and the Negative Predictive Value (NPV) from the "preeclampsia.com" application is 96.9%. Based on the results of multilevel logistic regression analysis, it was found that the ability of the model to predict the incidence of preeclampsia was 96.4%. The use of the Preeclampsia.com application is quite good for community-based preeclampsia screening