The Impact of Telemedicine Interventions on Maternal and Fetal Outcomes in Women With Gestational Diabetes: Systematic Review and Meta-Analysis of Randomized Controlled Trials.
4 affiliations
- 1School of Nursing, Chengdu University of Traditional Chinese Medicine, No. 37, Shierqiao Road, Chengdu, Sichuan, China.
- 2Department of Orthopedics, Hospital of Chengdu University of Traditional Chinese Medicine, No. 39, Shierqiao Road, Chengdu, Sichaun, China.
- 3School of Medicine, University of Electronic Science and Technology of China, No. 4, Section 2, Jianshe North Road, Chengdu, Sichuan, China.
- 4Dean's Office, Guang'an Hospital of Traditional Chinese Medicine, No. 1 Cuiping Road, Guang'an, Sichuan, 638099, China, 86 15520799476.
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.
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BibTeX
@article{he2026impact,
title = {{The Impact of Telemedicine Interventions on Maternal and Fetal Outcomes in Women With Gestational Diabetes: Systematic Review and Meta-Analysis of Randomized Controlled Trials.}},
author = {Hongyue He and Juan Deng and Jingxian Liu and Xiaohong Xu and Jiao Chen and Lixin Liu and Haoyue Zhang and Fang Wang},
journal = {Journal of medical Internet research},
year = {2026},
month = oct,
doi = {10.2196/103569},
url = {https://europepmc.org/article/MED/42913437},
note = {CC BY},
}
RIS
TY - JOUR
TI - The Impact of Telemedicine Interventions on Maternal and Fetal Outcomes in Women With Gestational Diabetes: Systematic Review and Meta-Analysis of Randomized Controlled Trials.
AU - Hongyue He
AU - Juan Deng
AU - Jingxian Liu
AU - Xiaohong Xu
AU - Jiao Chen
AU - Lixin Liu
AU - Haoyue Zhang
AU - Fang Wang
PY - 2026
DA - 2026/10/23
JO - Journal of medical Internet research
DO - 10.2196/103569
UR - https://europepmc.org/article/MED/42913437
AB - 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.
SN - 1439-4456
SN - 1438-8871
ER -