Manuscript Title:

IMPACT OF MOBILE FOLLOW UP PROTOCOL OF CARE ON PREGNANCY OUTCOMES AMONG PREECLAMPTIC WOMEN: A RANDOMIZED CONTROLLED TRIAL (RCT)

Author:

NAGLAA FATHY MOSTAFA, SHADIA ABDEL KADER HASSAN, HALA ABDELGALIL, DIAA ABD EL-HALIM, REDA M. NABIL ABOUSHADAY

DOI Number:

DOI:10.5281/zenodo.15081628

Published : 2025-03-23

About the author(s)

1. NAGLAA FATHY MOSTAFA - Assistant Lecturer, Maternal and Newborn Health Nursing, Faculty of Nursing, Cairo University, Egypt.
2. SHADIA ABDEL KADER HASSAN - Professor, Maternal and Newborn Health Nursing, Faculty of Nursing, Cairo University, Egypt.
3. HALA ABDELGALIL - Professor, Artificial Intelligence, Faculty of Information and Artificial Intelligence, Helwan University.
4. DIAA ABD EL-HALIM - Consultant, Obstetrics and Gynecology El-Galaa Teaching Hospital, Egypt.
5. REDA M. NABIL ABOUSHADAY - Assistant Professor, Maternal and Newborn Health Nursing, Faculty of Nursing, Cairo University, Egypt. Assistant Professor, Maternity Nursing, College of Nursing, King Saud bin Abdulaziz University for Health Sciences (KSAU-HS) and King Abdullah International Medical Research Center (KAIMRC), Al Ahsa, Saudi Arabia.

Full Text : PDF

Abstract

Background: Hypertensive disorders of pregnancy (HDP) which includes preeclampsia (PE) constitute one of the leading causes of maternal and perinatal mortality worldwide, the integration of artificial intelligence (AI) in monitoring preeclampsia has revolutionized maternal healthcare by enabling early detection, personalized management, and improved outcomes. The aim: was to evaluate the impact of mobile follow-up protocol of care on the pregnancy outcomes among preeclamptic women. Design: A randomized controlled trial (RCTs) design was adopted for this study. Sample: Purposive sample of (100) women with mild preeclampsia, were randomly recruited and randomly assigned in two group, 50 women in the study group who received routine hospital care and mobile follow-up protocol of care utilizing motab3a mobile app, and 50 women in the control group who received routine hospital care only. Tools: three tools were used for data collection; 1) Structured interview schedule, 2) Initial assessment and maternal /fetal follow up tool and 3) Maternal, fetal and neonatal outcomes evaluation tool and Motab3a mobile application and instructional booklets as a supportive material. Results: the results of current study revealed that there are statistical significance differences between groups regarding systolic and diastolic blood pressure, weight gain and edema degree (p=0.001), the results showed that women who received follow-up and monitoring through Motab3a mobile app showed better pregnancy outcomes as compared to control group. As; decrease occurrence of severe preeclampsia, APH, hospital admission, preterm delivery, PPH. Low rate of fetal complications as; oligohydromious, IUGR as compared to the control group, and NICU admission, neonatal weight and gestational age among motab3a app group had lower rate as compared to the control group with (p<0.05). Conclusion: women with mild preeclampsia who utilize follow-up protocol of care through motab3a mobile application is associated with better pregnancy outcomes. Recommendations: integrate a new technology in monitoring women who at risk during pregnancy and follow up protocol of care should be included in health care system for all risky groups and to be a part from antenatal care.


Keywords

Artificial Intelligence (AI), Preeclampsia, Follow-Up, Pregnancy Outcomes.