Efficacy and Safety of a Telemedicine System in Patients With Gestational Diabetes Mellitus (TELEGLAM): Single-Center, 2-Arm, Randomized, Open-Label, Parallel-Group Study

Clinical Snapshot

Key Findings

• P Value: P=.01 for total costs, P=.02 for Problem Areas in Diabetes Survey improvement

• Effect Size: 44.8% reduction in total costs with telemedicine

• Primary Outcome: Total costs significantly lower in telemedicine group: ¥32,712 vs ¥59,202 (P=.01)

• Nnt Or Sensitivity: Problem Areas in Diabetes Survey improved by 7.6 points (95% CI -13.7 to -1.4) in telemedicine group

• Confidence Interval: 95% CI for cost difference: ¥15,412-50,013 vs ¥42,603-75,800

Clinical Application

High feasibility given widespread smartphone adoption and existing telehealth infrastructure in Australia Aligns with Australian Digital Health Strategy and Medicare telehealth items. Could reduce travel burden in rural/remote areas. TGA approval would be needed for glucose monitoring devices with data transmission capabilities Pregnant women with GDM requiring insulin therapy who have smartphone access and technical literacy

Abstract

BACKGROUND: In the management of gestational diabetes mellitus (GDM), the usual medical treatment requires frequent visits for glucose monitoring and insulin dose adjustment, and this imposes significant physical, psychological, and economic burdens on pregnant women. As mobile health platforms become increasingly integrated into diabetes care, telemedicine may help alleviate these burdens; however, evidence evaluating its effectiveness as a replacement for routine in-person GDM care remains limited. OBJECTIVE: This study aims to evaluate the impact of telemedicine on the quality of life and costs for patients with GDM requiring insulin therapy. METHODS: This single-center, 2-arm, randomized, open-label, parallel-group study included patients with GDM who started insulin injection therapy. Participants were randomized to either the telemedicine or standard face-to-face care groups for 10 (SD 2) weeks. The telemedicine intervention used a smartphone-linked platform that enabled the automatic transfer of glucose data from connected glucose meters and facilitated real-time video consultations. Primary end points included costs and patient satisfaction. Costs were assessed using claims data, transportation calculations, and wage-based productivity losses, while patient satisfaction was evaluated through changes in the Problem Areas in Diabetes Survey and Diabetes Therapy-Related Quality of Life questionnaire scores. Secondary outcomes included glycemic control and perinatal outcomes. RESULTS: In total, 38 participants were included, with 18 assigned to the telemedicine group and 20 to the standard care group. Total costs (32,712, 95% CI 15,412-50,013 vs 59,202, 95% CI 42,603-75,800 Japanese yen; $284, 95% CI 134-435 vs $515, 95% CI 370-659, purchasing power parity [PPP]-adjusted; P=.01), direct non-health care costs (922, 95% CI -240 to 2084 vs 2561, 95% CI 1447-3676 yen; $8, 95% CI -2 to 18 vs $22, 95% CI 13 to 32 PPP-adjusted; P=.02), and indirect costs (8981, 95% CI -7119 to 25,082 vs 32,832, 95% CI 17,384-48,279 yen; $78, 95% CI -62 to 218 vs $285, 95% CI 151-420 PPP-adjusted; P=.01) reduced significantly in the telemedicine group compared with the standard care group. The improvements in the Problem Areas in Diabetes Survey (-7.6, 95% CI -13.7 to -1.4; P=.02) and Diabetes Therapy-Related Quality of Life domain 1 (10.5, 95% CI 0.9-20.1; P=.03) scores from the baseline were significantly greater in the telemedicine group than that in the standard care group. Nonetheless, glycemic control and frequency of perinatal complications were comparable between the 2 groups. Consultation time was similar across groups, suggesting no added workload for clinicians. CONCLUSIONS: In this randomized trial, mobile health-enabled telemedicine safely replaced routine in-person visits for patients with GDM requiring insulin therapy. Telemedicine significantly reduced psychological and economic burdens without compromising glycemic or perinatal outcomes, demonstrating its value as a patient-centered and cost-efficient model of care. These findings support the broader implementation of mobile-based telemedicine approaches in GDM management.

References

1. 1.Aoyama, K., Nakajima, Y., Meguro, S., Sato, Y., Goto, R., Hida, M., Arimitsu, T., Kasuga, Y., Tanaka, M., Itoh, H., & Hayashi, K. (2026). Efficacy and Safety of a Telemedicine System in Patients With Gestational Diabetes Mellitus (TELEGLAM): Single-Center, 2-Arm, Randomized, Open-Label, Parallel-Group Study. JMIR mHealth and uHealth. https://doi.org/10.2196/72242