The Influence of the Smart Glucose Manager Mobile Application on Diabetes Management
Open accessAbstract
Background: Smartphone use is rapidly growing in developing countries, providing opportunity for development of new health-based mobile applications. The present study investigated the efficacy of a newly designed mobile application, Smart Glucose Manager (SGM), in Sri Lankan patients with diabetes. Methods: A total of 67 patients with access to Android smartphones were randomized into an SGM (n = 27) and a control group (n = 25). Glycosylated hemoglobin (A1c) levels were measured at baseline and every 3 months afterward. The SGM group utilized the application daily, while control-group patients were instructed to continue their standard methods of diabetes management. Independent t-tests were utilized to assess A1c differences at 3 and 6 months postrandomization. A1c improvement, defined as A1c at 6 months minus baseline, was compared with SGM usage to assess effectiveness of diabetic management. Results: At the 6-month follow up, the SGM group had significant lower A1c levels than the control group (7.2% vs 8.17%, P < .0001). For both groups, A1c values decreased from baseline to the 3 months (SGM: 9.52% to 8.16%, P < .0001; control: 9.44% to 8.31%, P < .0001). From 3 months to 6 months, the SGM group showed further improvement of A1c (−0.96% P < .0001), whereas the control group did not ( P = 0.19). A1c improvement was positively correlated with SGM usage ( R = .81, P < .001). Conclusion: The SGM, a mobile application specifically designed to support self-management of diabetes, appeared to show long-term improvement of A1c levels in patients with diabetes residing in Sri Lanka.
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The remaining 4 papers did not specify the type of DM or included a mix of DM types, with 256 patients in the intervention groups and 124 in the control groups.
“The remaining 4 papers did not specify the type of DM they looked at or included a mix of DM types (256 patients in the intervention groups and 124 patients in the control groups) [66-69].”
From Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review (2021) · cites this paper as [66]
Of the included studies that did not specify the DM type, one found a significant improvement in HbA1c within the intervention group.
“Of the studies that did not specify the DM type, one study found a significant improvement in HbA1c within the intervention group [66]”
From Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review (2021) · cites this paper as [66]
Gunawardena et al reported a significant decrease of -0.96% (P<.001) in HbA1c within the app intervention group.
“Gunawardena et al [66] reported a significant decrease of –0.96% (P<.001) in HbA1c level within the app intervention group and a significant difference (P<.001) between groups in favor of the intervention group.”
From Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review (2021) · cites this paper as [66]
Gunawardena et al reported a significant difference (P<.001) between groups in favor of the intervention group for HbA1c.
“Gunawardena et al [66] reported a significant decrease of –0.96% (P<.001) in HbA1c level within the app intervention group and a significant difference (P<.001) between groups in favor of the intervention group.”
From Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review (2021) · cites this paper as [66]
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- Authors
- Gunawardena, K. C., Jackson, R., Robinett, I., Dhaniska, L., Jayamanne, S., Kalpani, S., & Muthukuda, D.
- Affiliations
- Ocean Lakes High School (US)
- Sentara Norfolk General Hospital (US)
- Informatics Institute of Technology, Colombo, Sri Lanka
- University of Kelaniya (LK)
- Sri Jayawardenapura Hospital, Kotte, Sri Lanka
- Corresponding author
- Gunawardena, Kasun C.
- Venue
- Journal of Diabetes Science and Technology
- Publisher
- SAGE Publications
- Published
- 2018-09-28
- Volume
- 13
- Issue
- 1
- Pages
- 75-81
- ISSN
- 1932-2968 (ISSN-L)
- PMC
- PMC6313277
- OpenAlex
- W2893447856
- Cited by
- 52
- References
- 15
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 12 · 2023: 4 · 2022: 9 · 2021: 7 · 2020: 4 · 2019: 2
- FWCI
- 4.96
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Diabetes Science and Technology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Kelaniya
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- mobile health apps, diabetes self-management, HbA1c, Sri Lankan patients, Android application
- MeSH terms
- Smartphone, Adult, Aged, Blood Glucose, Diabetes Mellitus, Type 2, Female, Glycated Hemoglobin, Humans, Hypoglycemic Agents, Insulin, Male, Middle Aged, Patient Compliance, Sri Lanka, Blood Glucose Self-Monitoring, Mobile Applications
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