Poster Session 2
Category: Digital Health Technologies (DHT)
Poster Session 2
Elisa Gi Soo Um, MD (she/her/hers)
Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
Seoul, Seoul-t'ukpyolsi, Republic of Korea
Byung Soo Kang, MD, PhD
Obstetrics and gynecology
Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea
Seoul, Seoul-t'ukpyolsi, Republic of Korea
Hyun Sun Ko, MD, PhD
Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea
Seoul, Seoul-t'ukpyolsi, Republic of Korea
Seon Ui Lee
Department of Obstetrics and Gynecology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea
Incheon, Inch'on-jikhalsi, Republic of Korea
Jin Yu
Department of Endocrinology and Metabolism, Seoul St Mary's Hospital, College of Medicine, The Catholic University of Korea
Seoul, Seoul-t'ukpyolsi, Republic of Korea
Jae-Seung Yun
Department of Internal Medicine, St Vincent's Hospital, College of Medicine, The Catholic University of Korea
Suwon, Kyonggi-do, Republic of Korea
Kyu-Ho Kim
Department of Internal Medicine, St Vincent's Hospital, College of Medicine, The Catholic University of Korea
Suwon, Kyonggi-do, Republic of Korea
Youn-Ju Lee
PH-DATA Co,, Ltd, Seoul, Korea.
Seoul, Seoul-t'ukpyolsi, Republic of Korea
Yoon-Hee choi
Department of Endocrinology and Metabolism, Seoul St Mary's Hospital, College of Medicine, The Catholic University of Korea, PH-DATA Co,, Ltd, Seoul, Korea.
Seoul, Seoul-t'ukpyolsi, Republic of Korea
Diabetes during pregnancy poses a growing public health burden, affecting both perinatal outcomes and long-term health of mothers and offspring. This study aimed to evaluate the impact of a digital-based management system—including the MomStart mobile application and an educational website—on pregnancy outcomes in women with diabetes.
Study Design:
We compared outcomes between a prospective digital care cohort and a retrospective traditional care cohort (control group) using 1:3 propensity score matching based on age, parity, and pre-pregnancy BMI.
Results:
After matching, 91 women in the digital care group and 273 in the control group were included. The digital care group had higher rates of family history of diabetes, alcohol use before pregnancy, and office-based employment, compared with control group. However, systolic blood pressure in the second and third trimesters, diastolic blood pressure in the third trimester, and cesarean section rates were significantly lower. Although mean gestational age at delivery was similar, and the digital care group showed higher rates of pre-existing hypertension and insulin use, it had significantly lower rates of preeclampsia, threatened preterm labor, PPROM, preterm birth, and postpartum hemorrhage. Neonatal outcomes of NICU admission, phototherapy for jaundice, and hypoxic-ischemic injury were also significantly reduced in the digital care group when compared with control group. Composite neonatal adverse outcomes occurred in 39.6% of the digital care group vs. 59.3% in controls (p = 0.001).
Conclusion:
Digital care in pregnancies with diabetes was associated with improved maternal and neonatal outcomes. This approach may offer an effective strategy for managing high-risk pregnancies. This study was supported by the National Institute of Health (No. 22ER080800) and registered with Korea’s Clinical Research Information Service system (KCT0008483).