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Telemonitoring and Health Counseling for Self-Management Support of Patients With Type 2 Diabetes: A Randomized
Inger Lindberg1, Astrid Torbjørnsen2,3, Siv Söderberg4
1Division of Nursing, Department of Health Science, Luleå University of Technology, Luleå, Sweden.
JMIR Diabetes
|October 7, 2018
Summary
A health technology-supported self-management program for type 2 diabetes did not significantly improve glycated hemoglobin (HbA1c) or quality of life. However, patients lost to follow-up reported poorer mental health outcomes.
Area of Science:
- Endocrinology
- Digital Health
- Public Health
Background:
- Global rise in type 2 diabetes necessitates innovative healthcare delivery models.
- Self-management approaches empower individuals with chronic conditions.
- Need for effective interventions to manage diabetes and improve patient outcomes.
Purpose of the Study:
- To evaluate a health technology-supported self-management program for type 2 diabetes.
- Assessed impact on glycated hemoglobin (HbA1c), clinical variables, and health-related quality of life (HRQoL).
- Investigated the role of telemonitoring and health counseling in diabetes care.
Main Methods:
- Pragmatic randomized controlled trial involving patients with type 2 diabetes.
- Intervention group used a web application for self-monitoring (blood glucose, blood pressure) alongside usual care.
- Control group received only usual care; regular reviews by healthcare professionals for the intervention group.
Main Results:
- No significant differences in HbA1c or HRQoL between intervention and control groups after 19 months.
- High computer literacy observed in the intervention group (80% at baseline, 98% of responders).
- Non-responders in the intervention group reported significantly poorer mental health (social functioning, role emotional).
Conclusions:
- The technology-supported self-management program did not improve primary outcomes (HbA1c, HRQoL).
- Patient engagement and adherence may influence outcomes.
- Poorer mental health in non-responders suggests potential disparities in digital health interventions.
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