A New Model for Improving Quality of Hypertension’s Determinant Factors in Pregnancy

Abstract

Background Hypertension in pregnancy should be detected earlier to prevent possible complications of pregnancy such as preeclampsia. Pregnancy hypertension could transform into preeclampsia if unmonitored and untreated, it can even be bad for eclampsia. Purpose This research aims to identify the determinant factors of hypertension during pregnancy and to develop a suitable model to prevent hypertension in the future. Methods The research was developed using a mixed method with an embedded design approach. This study has adopted the ADDIE concept including Analysis, Design, Development, Implementation, and Evaluation steps. Purposive sampling based on knowledge proportion has designated 164 pregnant women as key participants. Qualitative analysis was applied through in-depth interviews. Quantitative analysis was conducted with SEM-PLS. Results The determinant variable components of late detection of hypertension in pregnancy are knowledge and understanding, self-efficacy, intentions, and attitudes of pregnant women. Other variables are also considered as psychosocial support of husband/family and midwives, antenatal care, and service facilities. Conclusion The data shows that the MEGA model is proven to be effective in evaluating the determinant factors of hypertension in pregnancy.