Key finding
The intervention group showed a significant reduction in HbA1c to 6.7% (±0.21), compared to 7.0% (±0.15) in the control group (p = 0.035).
This study evaluated the effectiveness of a telemedicine intervention for glycemic control in patients with Type 2 diabetes and found significant improvements in several key outcomes.
Evidence strength
Moderate confidence
Study type
RCTs
Follow-up
Long-Term (1–5 y)
Quick read
The essential study design details in one scan.
Population
Young Adult (19–39), Middle Aged (40-64), Male, Female, Asia-Pacific (APAC), with T2 Diabetes
Intervention
Telemedicine intervention with weekly interactive voice calls
Study type
RCTs
Follow-up
Long-Term (1–5 y)
Primary outcome
HbA1c
Comparator
Standard care with clinic visits every three months
Plain-language summary
A plain-language read of the study's main message and where it applies.
Study focus
This study evaluated the effectiveness of a telemedicine intervention for glycemic control in patients with Type 2 diabetes and found significant improvements in several key outcomes.
Improving glycemic control is crucial for preventing complications in patients with Type 2 diabetes. This study demonstrates that telemedicine can be an effective tool for enhancing patient engagement and adherence to treatment, potentially leading to better health outcomes and reduced healthcare costs.
The study's sample size may limit the generalizability of the findings. Potential biases in self-reported medication compliance could affect results. The long-term sustainability of the intervention's effects was not assessed.
Published in
Publication details and source links for this paper.
Alexander M, John RA, Vinoth GCD, Pradakshna P, Jennifer BJ, Vijayalakshmi S. Telemedicine Interventions for Glycemic Control in Patients with Type 2 Diabetes: A Randomized Controlled Trial. Cureus. 2025;17(9):e91996. doi:10.7759/cureus.91996
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HbA1c levels decreased by 0.6% in the intervention group (p = 0.035).
Fasting plasma glucose improved by 21 mg/dL in the intervention group (p = 0.046).
Postprandial blood glucose levels decreased by 21 mg/dL in the intervention group (p = 0.032).
Insulin resistance (HOMA-IR) was reduced by 1.2 units in the intervention group (p = 0.04).
Evidence network
Understand where this research contributes within the broader evidence network.
This study contributes evidence to mHealth intervention with personal feedback and Fasting Plasma Glucose (FPG), Glucose iAUC (OGTT), HbA1c, and 3 more.
This study contributes evidence to
Primary intervention
mHealth intervention with personal feedback
Primary outcomes
Evidence topics
Primary intervention
Primary outcomes
Intervention and outcome relationships this study adds to the evidence network.
Editorial context
See why this paper is useful beyond its individual results.
Evidence network role
This section describes how the study fits into the current evidence network. It does not determine whether an intervention works on its own.
3
Related topics
6
Evidence pairs
315
Related studies
Evidence topic
Contributes evidence
Evidence topic
Contributes evidence
Evidence topic
Contributes evidence
Core evidence
The primary outcomes reported in this study.
mHealth intervention with personal feedback → Fasting Plasma Glucose (FPG)
mHealth intervention with personal feedback → Fasting Plasma Glucose (FPG)
Evidence profile
mHealth intervention with personal feedback → Glucose iAUC (OGTT)
mHealth intervention with personal feedback → Glucose iAUC (OGTT)
Evidence profile
mHealth intervention with personal feedback → HbA1c
mHealth intervention with personal feedback → HbA1c
Evidence profile
mHealth intervention with personal feedback → Insulin resistance
mHealth intervention with personal feedback → Insulin resistance
Evidence profile
mHealth intervention with personal feedback → Lifestyle behaviors
mHealth intervention with personal feedback → Lifestyle behaviors
Evidence profile
mHealth intervention with personal feedback → Treatment adherence
mHealth intervention with personal feedback → Treatment adherence
Evidence profile
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Relationships organized using the Dediabetes Evidence Intelligence™ framework.
This study contributes to evidence on mHealth intervention with personal feedback and HbA1c, mHealth intervention with personal feedback and Fasting Glucose.
This study contributes to the evidence on the following intervention-outcome relationships.
Behavioral & Lifestyle
Curated evidence collections and hubs this study is part of.
All studies measuring HbA1c
Measures HbA1c as a key outcome.
All studies on mHealth intervention with personal feedback
Contributes to mHealth intervention with personal feedback evidence base.
All studies measuring Fasting Glucose
Measures Fasting Glucose as a key outcome.
Latest published studies
Published within the last 2 years.
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2 results
1 results
2 results
2 results
1 results
Generated from the study's connected evidence using Evidence Intelligence™.
mHealth intervention with personal feedback appears to improve HbA1c.
ConsensusScore™: Results are consistent across studies.
Ranked evidence signals
HbA1c
EvidenceScore™ Emerging | EvidenceScore™ 56.5 | strong positive | ConsensusScore™ Consistent | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
mHealth intervention with personal feedback appears to improve Fasting Plasma Glucose (FPG).
ConsensusScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Fasting Plasma Glucose (FPG)
EvidenceScore™ Emerging | EvidenceScore™ 52.9 | strong positive | ConsensusScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
mHealth intervention with personal feedback appears to improve Glucose iAUC (OGTT).
ConsensusScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Glucose iAUC (OGTT)
EvidenceScore™ Emerging | EvidenceScore™ 52.9 | strong positive | ConsensusScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
mHealth intervention with personal feedback appears to improve Insulin resistance.
ConsensusScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Insulin resistance
EvidenceScore™ Emerging | EvidenceScore™ 52.9 | strong positive | ConsensusScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
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