» Articles » PMID: 37542200

The Effect of Personalized Intelligent Digital Systems for Self-care Training on Type II Diabetes: a Systematic Review and Meta-analysis of Clinical Trials

Overview
Journal Acta Diabetol
Specialty Endocrinology
Date 2023 Aug 4
PMID 37542200
Authors
Affiliations
Soon will be listed here.
Abstract

Aims: Type 2 diabetes (T2D) is rising worldwide. Self-care prevents diabetic complications. Lack of knowledge is one reason patients fail at self-care. Intelligent digital health (IDH) solutions have a promising role in training self-care behaviors based on patients' needs. This study reviews the effects of RCTs offering individualized self-care training systems for T2D patients.

Methods: PubMed, Web of Science, Scopus, Cochrane Library, and Science Direct databases were searched. The included RCTs provided data-driven, individualized self-care training advice for T2D patients. Due to the repeated studies measurements, an all-time-points meta-analysis was conducted to analyze the trends over time. The revised Cochrane risk-of-bias tool (RoB 2.0) was used for quality assessment.

Results: In total, 22 trials met the inclusion criteria, and 19 studies with 3071 participants were included in the meta-analysis. IDH interventions led to a significant reduction of HbA1c level in the intervention group at short-term (in the third month: SMD = - 0.224 with 95% CI - 0.319 to - 0.129, p value < 0.0; in the sixth month: SMD = - 0.548 with 95% CI - 0.860 to - 0.237, p value < 0.05). The difference in HbA1c reduction between groups varied based on patients' age and technological forms of IDH services delivery. The descriptive results confirmed the impact of M-Health technologies in improving HbA1c levels.

Conclusions: IDH systems had significant and small effects on HbA1c reduction in T2D patients. IDH interventions' impact needs long-term RCTs. This review will help diabetic clinicians, self-care training system developers, and researchers interested in using IDH solutions to empower T2D patients.

Citing Articles

The impact of information and communication technology on immunisation and immunisation programmes in low-income and middle-income countries: a systematic review and meta-analysis.

Zarekar M, Al-Shehabi H, Dorner R, Weishaar H, Lennemann T, El Bcheraoui C EBioMedicine. 2024; 111():105520.

PMID: 39709769 PMC: 11732194. DOI: 10.1016/j.ebiom.2024.105520.


1. Improving Care and Promoting Health in Populations: Standards of Care in Diabetes-2025.

Diabetes Care. 2024; 48(Supplement_1):S14-S26.

PMID: 39651974 PMC: 11635030. DOI: 10.2337/dc25-S001.


Impact of an SMS intervention to support type 2 diabetes self-management: DiabeText clinical trial.

Zamanillo-Campos R, Fiol-deRoque M, Serrano-Ripoll M, Llobera-Canaves J, Llobera J, Taltavull-Aparicio J Br J Gen Pract. 2024; .

PMID: 39362693 PMC: 11755587. DOI: 10.3399/BJGP.2024.0206.


Measuring electronic health literacy in the context of diabetes care: psychometric evaluation of a Persian version of the condition-specific eHealth literacy scale for diabetes.

Peimani M, Tanhapour M, Bandarian F, Nasli-Esfahani E, Ostovar A BMC Med Inform Decis Mak. 2024; 24(1):189.

PMID: 38970044 PMC: 11225123. DOI: 10.1186/s12911-024-02594-0.

References
1.
Cho N, Shaw J, Karuranga S, Huang Y, da Rocha Fernandes J, Ohlrogge A . IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018; 138:271-281. DOI: 10.1016/j.diabres.2018.02.023. View

2.
Carpenter R, DiChiacchio T, Barker K . Interventions for self-management of type 2 diabetes: An integrative review. Int J Nurs Sci. 2019; 6(1):70-91. PMC: 6608673. DOI: 10.1016/j.ijnss.2018.12.002. View

3.
Wang W, Cheng M, Leong F, Goh A, Lim S, Jiang Y . The development and testing of a nurse-led smartphone-based self-management programme for diabetes patients with poor glycaemic control. J Adv Nurs. 2020; 76(11):3179-3189. DOI: 10.1111/jan.14519. View

4.
He X, Li J, Wang B, Yao Q, Li L, Song R . Diabetes self-management education reduces risk of all-cause mortality in type 2 diabetes patients: a systematic review and meta-analysis. Endocrine. 2016; 55(3):712-731. DOI: 10.1007/s12020-016-1168-2. View

5.
Eberle C, Lohnert M, Stichling S . Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review. JMIR Mhealth Uhealth. 2021; 9(2):e23477. PMC: 7920757. DOI: 10.2196/23477. View