Improved A1C Levels in Type 1 Diabetes with Smartphone App Use
Abstract
Objectives Smartphones are a potentially useful tool in diabetes care. We have developed an application (app) linked to a website, Intelligent Diabetes Management (IDM), which serves as both an insulin bolus calculator and an electronic diabetes diary. We have prospectively studied whether patients using this app improved control of their glucose levels.Methods Patients with type 1 diabetes were recruited. There was a 4-week observation period, midway during which we offered to review the participants' records. The app was then downloaded and participants' diabetes regimens entered on the synchronized IDM website. At 2, 4, 8, 12 and 16 weeks of the active phase, their records were reviewed online, and feedback was provided electronically. The primary endpoint was change in levels of glycated hemoglobin (A1C).Results Of the 31 patients recruited, 18 completed the study. These 18 made 572±98 entries per person on the IDM system over the course of the study (≈5.1/day). Their ages were 40.0±13.9 years, the durations of their diabetes were 27.3±14.9 years and 44% used insulin pumps. The median A1C level fell from 8.1% (7.5 to 9.0, IQ range) to 7.8% (6.9 to 8.3; p<0.001). During the observation period, glucose records were reviewed for 50% of the participants. In the active phase, review of the glucose diaries took less time on the IDM website than using personal glucose records in the observation period, median 6 minutes (5 to 7.5 IQ range) vs. 10 minutes (7.5 to 10.5 IQ range; p<0.05).Conclusions Our smartphone app enables online review of glucose records, requires less time for clinical staff and is associated with improved glucose control.
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Of the 27 papers, 7 focused on T1DM, with 308 patients in the intervention groups and 129 in the control groups.
“Of the 27 papers, 7 were focused on T1DM (308 patients in the intervention groups and 129 patients in the control groups) [43-49]”
From Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review (2021) · cites this paper as [45]
The average HbA1c in the T1DM studies with significant within-group improvements was 7.73%.
“In 3 of the 7 studies, significant improvements of HbA1c levels within the intervention groups were found (mean difference: –1.1%, P<.001 [47]; –0.3%, P<.001 [45]; and –0.3%, P=.04 [46]), yielding an HbA1c of 7.73% on average.”
From Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review (2021) · cites this paper as [45]
In 3 of the 7 T1DM studies, significant improvements of HbA1c levels within the intervention groups were found.
“In 3 of the 7 studies, significant improvements of HbA1c levels within the intervention groups were found (mean difference: –1.1%, P<.001 [47]; –0.3%, P<.001 [45]; and –0.3%, P=.04 [46]), yielding an HbA1c of 7.73% on average.”
From Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review (2021) · cites this paper as [45]
Researchers evaluated a range of measures that aligned with their target chronic condition, such as blood glucose, weight, symptoms, patient-reported outcomes, diary entries, and steps.
“Researchers evaluated a range of measures that aligned with their target chronic condition, such as blood glucose [56,60,61,64,73], weight [56,73,74], symptoms [66,68,69], patient-reported outcomes [38,46,52,65,71], diary entries [47,66], and steps [51].”
From A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review (2019) · cites this paper as [60]
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References 31 · Cited by 63
- Authors
- Ryan, E. A., Holland, J., Stroulia, E., Bazelli, B., Babwik, S. A., Li, H., Senior, P., & Greiner, R.
- Affiliations
- University of Alberta (CA)
- Corresponding author
- Ryan, Edmond A.
- Venue
- Canadian Journal of Diabetes
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 41
- Issue
- 1
- Pages
- 33-40
- ISSN
- 1499-2671 (ISSN-L)
- OpenAlex
- W2509661580
- Cited by
- 63
- References
- 31
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 7 · 2023: 5 · 2022: 2 · 2021: 6 · 2020: 8 · 2019: 12 · 2018: 16 · 2017: 2
- FWCI
- 10.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Canadian Journal of Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Alberta Innovates Centre for Machine Learning (AICML RES0001512)
- Natural Sciences and Engineering Research Council of Canada (NSERC RES0020439)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- type 1 diabetes, mobile application, HbA1c, glycemic control, diabetes self-management
- MeSH terms
- Smartphone, Adult, Diabetes Mellitus, Type 1, Female, Glycated Hemoglobin, Humans, Male, Middle Aged, Biomarkers, Telemedicine, Mobile Applications
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