The Impact of Telemedicine Interventions on Maternal and Fetal Outcomes in Women With Gestational Diabetes: Systematic Review and Meta-Analysis of Randomized Controlled Trials
In brief
Telemedicine linked to fewer cesareans and newborn complications in gestational diabetes
A review of 23 randomized trials involving 3,055 women found telemedicine was associated with fewer cesareans, large newborns, neonatal low blood sugar, and respiratory distress. It also modestly lowered glucose and pregnancy weight gain on average, but results varied sharply across studies and evidence certainty was low to very low. Telemedicine may supplement, not replace, standard prenatal care.
- Journal
- Journal of medical Internet research (Q1)
- Published
- 23 October 2026
- Study design
- Systematic review / meta-analysis of RCTs
- Evidence level
- Level 1, High (CEBM 1a)
- Authors
- Hongyue He, Juan Deng, Jingxian Liu, Xiaohong Xu, Jiao Chen, Lixin Liu, et al.
- PMID
- 42913437
- DOI
- 10.2196/103569
Why clinicians should know about it
- Picked for Health Informatics (paper of the day, 24 October 2026): Randomized evidence evaluates telemedicine effects on maternal and fetal outcomes
Abstract
BACKGROUND: Gestational diabetes mellitus (GDM) has a rising global prevalence and brings short-term and long-term adverse risks for mothers and fetuses. Conventional in-person GDM care is limited by time and geographic barriers, often resulting in suboptimal compliance and delayed individualized interventions. Telemedicine is increasingly applied in GDM management; however, randomized controlled trial (RCT) evidence remains inconsistent. OBJECTIVE: The study aims to pool data from RCTs to quantify the effects of telemedicine on glycemic control and pregnancy-related outcomes in women with GDM and to inform optimized clinical management. METHODS: We searched PubMed, Embase, Cochrane Library, Web of Science, and Scopus up to August 16, 2026. Two reviewers independently performed study screening and data extraction. Risk of bias was assessed using RoB 2. Meta-analyses were conducted in Stata 18.0. For heterogeneous outcomes, 95% prediction intervals (PIs) were calculated to estimate effect ranges for future studies. Heterogeneity was explored via leave-one-out sensitivity, meta-regression, and subgroup analyses. The GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework rated evidence certainty. Publication bias was evaluated for outcomes reported in ≥10 studies. RESULTS: Twenty-three RCTs (3055 women with GDM) were included. Pooled estimates suggested that telemedicine may reduce fasting glucose (mean difference [MD] -0.26, 95% CI -0.42 to -0.09, 95% PI -0.93 to 0.42; P=.002), 2-hour postprandial glucose (MD -0.50, 95% CI -0.87 to -0.14, 95% PI -1.84 to 0.84; P=.007), and gestational weight gain (MD -0.78, 95% CI -1.40 to -0.17, 95% PI -2.83 to 1.26; P=.01). Telemedicine was also associated with lower risks of cesarean section, emergency cesarean section, macrosomia, neonatal hypoglycemia, and neonatal respiratory distress. No significant differences were found for hemoglobin A1c, preterm birth, or neonatal intensive care unit admission. Notably, fasting glucose, 2-hour postprandial glucose, and gestational weight gain exhibited very high unexplained heterogeneity (I²>90%), with their 95% PIs crossing the null value despite statistically significant pooled effects. The GRADE certainty of evidence was very low to low across all assessed outcomes. CONCLUSIONS: Telemedicine may improve selected glycemic and perinatal outcomes for women with GDM and may serve as a promising supplementary option for prenatal care, particularly in resource-limited settings where routine in-person follow-up is difficult to implement. Nevertheless, the apparent benefits for glycemic control and gestational weight gain remain tentative due to extreme, unexplained between-study heterogeneity and 95% PIs crossing the null. Based on current evidence, telemedicine should not completely replace standard antenatal care. Future well-designed, large-sample RCTs are warranted; such trials should adopt standardized definitions for telemedicine interventions, fully report intervention components, and conduct long-term follow-up to verify sustained maternal and neonatal clinical benefits.
Abstract as published, via PubMed.
For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.