» Articles » PMID: 33587045

Effectiveness of Disease-Specific MHealth Apps in Patients With Diabetes Mellitus: Scoping Review

Overview
Date 2021 Feb 15
PMID 33587045
Citations 46
Authors
Affiliations
Soon will be listed here.
Abstract

Background: According to the World Health Organization, the worldwide prevalence of diabetes mellitus (DM) is increasing dramatically and DM comprises a large part of the global burden of disease. At the same time, the ongoing digitalization that is occurring in society today offers novel possibilities to deal with this challenge, such as the creation of mobile health (mHealth) apps. However, while a great variety of DM-specific mHealth apps exist, the evidence in terms of their clinical effectiveness is still limited.

Objective: The objective of this review was to evaluate the clinical effectiveness of mHealth apps in DM management by analyzing health-related outcomes in patients diagnosed with type 1 DM (T1DM), type 2 DM (T2DM), and gestational DM.

Methods: A scoping review was performed. A systematic literature search was conducted in MEDLINE (PubMed), Cochrane Library, EMBASE, CINAHL, and Web of Science Core Collection databases for studies published between January 2008 and October 2020. The studies were categorized by outcomes and type of DM. In addition, we carried out a meta-analysis to determine the impact of DM-specific mHealth apps on the management of glycated hemoglobin (HbA).

Results: In total, 27 studies comprising 2887 patients were included. We analyzed 19 randomized controlled trials, 1 randomized crossover trial, 1 exploratory study, 1 observational study, and 5 pre-post design studies. Overall, there was a clear improvement in HbA values in patients diagnosed with T1DM and T2DM. In addition, positive tendencies toward improved self-care and self-efficacy as a result of mHealth app use were found. The meta-analysis revealed an effect size, compared with usual care, of a mean difference of -0.54% (95% CI -0.8 to -0.28) for T2DM and -0.63% (95% CI -0.93 to -0.32) for T1DM.

Conclusions: DM-specific mHealth apps improved the glycemic control by significantly reducing HbA values in patients with T1DM and T2DM patients. In general, mHealth apps effectively enhanced DM management. However, further research in terms of clinical effectiveness needs to be done in greater detail.

Citing Articles

The Utility of Smart Multiple Daily Injection Systems in Intensive Insulin-Treated People With Diabetes: An Italian Expert Consensus.

Giorgino F, Bonfanti R, Castaldo F, Irace C, Laurenzi A, Maffeis C J Diabetes Sci Technol. 2025; :19322968251316577.

PMID: 39927665 PMC: 11811948. DOI: 10.1177/19322968251316577.


Accuracy of Artificial Intelligence Based Chatbots in Analyzing Orthopedic Pathologies: An Experimental Multi-Observer Analysis.

Gehlen T, Joost T, Solbrig P, Stahnke K, Zahn R, Jahn M Diagnostics (Basel). 2025; 15(2.

PMID: 39857105 PMC: 11764310. DOI: 10.3390/diagnostics15020221.


Impact of visual presentation of atherosclerotic carotid plaque on cardiovascular risk profile using mHealth technologies.

Ullrich G, Bauerle A, Jahre L, Paldan K, Rosemeyer J, Kalaitzidis C NPJ Digit Med. 2025; 8(1):47.

PMID: 39843925 PMC: 11754887. DOI: 10.1038/s41746-024-01423-y.


Comorbidities And Reducing InEquitieS (CARES): Feasibility of self-monitoring and community health worker support in management of comorbidities among Black breast and prostate cancer patients.

Schubel L, Barac A, Magee M, Mete M, Peeples M, Shomali M Contemp Clin Trials Commun. 2025; 43():101387.

PMID: 39810843 PMC: 11732108. DOI: 10.1016/j.conctc.2024.101387.


The effect of an app-based dietary education on dietary intake and cardiometabolic risk markers in people with type 2 diabetes: results from a randomized controlled trial.

Sjoblom L, Hantikainen E, Dahlgren A, Trolle Lagerros Y, Bonn S Nutr J. 2025; 24(1):2.

PMID: 39754157 PMC: 11699681. DOI: 10.1186/s12937-024-01069-2.


References
1.
Cui M, Wu X, Mao J, Wang X, Nie M . T2DM Self-Management via Smartphone Applications: A Systematic Review and Meta-Analysis. PLoS One. 2016; 11(11):e0166718. PMC: 5115794. DOI: 10.1371/journal.pone.0166718. View

2.
Khawandanah J . Double or hybrid diabetes: A systematic review on disease prevalence, characteristics and risk factors. Nutr Diabetes. 2019; 9(1):33. PMC: 6828774. DOI: 10.1038/s41387-019-0101-1. View

3.
Yu Y, Yan Q, Li H, Li H, Wang L, Wang H . Effects of mobile phone application combined with or without self-monitoring of blood glucose on glycemic control in patients with diabetes: A randomized controlled trial. J Diabetes Investig. 2019; 10(5):1365-1371. PMC: 6717828. DOI: 10.1111/jdi.13031. View

4.
Dehghan H, Charkazi A, Kouchaki G, Zadeh B, Dehghan B, Matlabi M . General self-efficacy and diabetes management self-efficacy of diabetic patients referred to diabetes clinic of Aq Qala, North of Iran. J Diabetes Metab Disord. 2017; 16:8. PMC: 5312542. DOI: 10.1186/s40200-016-0285-z. View

5.
Foltynski P, Ladyzynski P, Pankowska E, Mazurczak K . Efficacy of automatic bolus calculator with automatic speech recognition in patients with type 1 diabetes: A randomized cross-over trial. J Diabetes. 2018; 10(7):600-608. DOI: 10.1111/1753-0407.12641. View