Introducing an Antenatal Care Electronic health System for Low and Middle Income Countries: A Cross-Sectional Study on 1217 Iranian Pregnant Women

Abstract

Objective: Maternal health care is one of the main challenges worldwide, especially in low- and middle-income countries (LMICs) such as Iran. In this cross-sectional study, we introduce an electronic health software for maternal care that is active under the supervision of the Valiasr Reproductive Health Research Center of Tehran University of Medical Sciences in providing maternal health education to Iranian pregnant women. In addition to describing the details of this open-source software and encouraging LMICs health policymakers to develop such software, this manuscript also provides a cross-sectional report and statistical analysis on anonymous Iranian pregnant women who registered in this system.
 Materials and methods: Since 2015, we have launched an electronic health software in Iran called "niniMED Pregnancy Calendar" in Persian. This system has multiple educational and motivational features for pregnant women, including momentary weight recommendations based on pregnancy week and recommended dates for common tests during pregnancy according to the first day of the last menstrual period in Jalali calendar format. Additionally, we measured user satisfaction with this system using a questionnaire.
 Results: From 2015 to 2017, 1,217 anonymous Iranian pregnant women registered in this system. The average age of pregnant Iranian women was 30.67 years (30 years and 8 months). Users had a body mass index (BMI) of 24.68 kg.m-2, which had a significant direct relationship with their gestational age (P=5.81e-05) and indicated an improvement in appropriate weight for Iranian women compared to previous studies. We showed that there was a significant direct relationship between the age of Iranian pregnant women and the likelihood of a high-risk pregnancy (P=0.008). We also observed a significant inverse relationship between pregnancy week and their tendency to receive pregnancy-related education (P=0.018). Finally, we found that more than 88% of pregnant Iranian women assessed membership in such systems as completely useful for pregnancy.
 Conclusion: The development of such electronic health systems for informing pregnant women can provide low-cost maternal education to LMICs pregnant women and potentially assist in managing weight gain during pregnancy and reducing associated risks. It can also be widely accepted by pregnant women.