Medical Journal of The Islamic Republic of Iran (MJIRI)
Iran University of Medical Sciences
Sun, Jun 14, 2026
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Volume 40, Issue 1 (1-2026)
Med J Islam Repub Iran 2026 |
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Alaei-Shahmiri F, Ghafoury R, Rimaz S, Rahimi S, Faghihi M, Maghsoomi Z et al . Attitudes toward Mobile App Use in Individuals with Type 1 Diabetes Mellitus: A Quasi-Experimental Mixed-Methods Investigation of a Digital Support Tool for Diabetes Self-Management Behavior. Med J Islam Repub Iran 2026; 40 (1) :265-274
URL: http://mjiri.iums.ac.ir/article-1-9879-en.html
URL: http://mjiri.iums.ac.ir/article-1-9879-en.html
Fariba Alaei-Shahmiri 
, Roya Ghafoury , Shahnaz Rimaz , Shakiba Rahimi , Mitra Faghihi , Zohreh Maghsoomi , Mohammad E. Khamseh
, Roya Ghafoury , Shahnaz Rimaz , Shakiba Rahimi , Mitra Faghihi , Zohreh Maghsoomi , Mohammad E. Khamseh
Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran , khamseh.m@iums.ac.ir
Abstract: (141 Views)
Background: Mobile applications can enhance diabetes self-management by visualizing glucose trends and promoting engagement. However, evidence on their behavioral and clinical effectiveness in environments with constrained resources remains limited. This study evaluated the impact of the Iranian Asan-Chek mobile app on glycemic outcomes and user experiences among adults with type 1 diabetes mellitus (T1DM).
Methods: In a 12-week quasi-experimental mixed-methods study, 148 adults with T1DM were recruited. Seventy-four participants used the Bluetooth-enabled Asan-Chek app (intervention group) and 74 performed structured self-monitoring of blood glucose (control group). Primary outcomes included changes in HbA1c and qualitative insights into user engagement and experience. Semi-structured interviews with 15 purposively selected participants (13 app users, 2 controls, varied in age and diabetes duration) explored attitudes, perceived benefits, and barriers. Transcripts were analyzed thematically.
Results: HbA1c decreased by 0.62% in the app group and by 0.41% in the control group (both P < 0.001), without any notable divergence between the intervention and control participants (P = 0.202). Changes in BMI, insulin requirements, and glycemic variability during the course of the study exhibited no statistical disparity between the two groups. Qualitative analysis uncovered three motifs: (i) heightened self efficacy and perceived control arising from instant feedback; (ii) stronger motivation prompted by color coded trend charts and reminders and (iii) usability and economic barriers: interface complexity, data driven anxiety, test strip cost, and finger prick fatigue.
Conclusion: Over twelve weeks, qualitative results highlighted that the Asan-Chek app provided motivational and behavioral advantages for individuals with T1DM but did not outperform structured SMBG in attaining HbA1c targets. Addressing challenges through optimized app interface, comprehensive user training, affordable supplies via reimbursement, and AI-driven feedback may help convert these behavioral gains into lasting glycemic improvement.
Methods: In a 12-week quasi-experimental mixed-methods study, 148 adults with T1DM were recruited. Seventy-four participants used the Bluetooth-enabled Asan-Chek app (intervention group) and 74 performed structured self-monitoring of blood glucose (control group). Primary outcomes included changes in HbA1c and qualitative insights into user engagement and experience. Semi-structured interviews with 15 purposively selected participants (13 app users, 2 controls, varied in age and diabetes duration) explored attitudes, perceived benefits, and barriers. Transcripts were analyzed thematically.
Results: HbA1c decreased by 0.62% in the app group and by 0.41% in the control group (both P < 0.001), without any notable divergence between the intervention and control participants (P = 0.202). Changes in BMI, insulin requirements, and glycemic variability during the course of the study exhibited no statistical disparity between the two groups. Qualitative analysis uncovered three motifs: (i) heightened self efficacy and perceived control arising from instant feedback; (ii) stronger motivation prompted by color coded trend charts and reminders and (iii) usability and economic barriers: interface complexity, data driven anxiety, test strip cost, and finger prick fatigue.
Conclusion: Over twelve weeks, qualitative results highlighted that the Asan-Chek app provided motivational and behavioral advantages for individuals with T1DM but did not outperform structured SMBG in attaining HbA1c targets. Addressing challenges through optimized app interface, comprehensive user training, affordable supplies via reimbursement, and AI-driven feedback may help convert these behavioral gains into lasting glycemic improvement.
Keywords: Blood glucose monitoring, Diabetes self-management, Digital health applications, Type 1 diabetes mellitus, User engagement
Policy Review: Original Research |
Subject:
Endocrinology
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