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The Effect of Personalized Intelligent Digital Systems for Self-Care Training on Type Ii Diabetes: A Systematic Review and Meta-Analysis of Clinical Trials Publisher Pubmed



Tanhapour M1 ; Peimani M2 ; Rostam Niakan Kalhori S1, 3 ; Nasli Esfahani E2 ; Shakibian H4 ; Mohammadzadeh N1 ; Qorbani M5
Authors
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Authors Affiliations
  1. 1. Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Science, Tehran, Iran
  3. 3. Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Braunschweig, 38106, Germany
  4. 4. Department of Computer Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran
  5. 5. Non-communicable Disease Research Center, Alborz University of Medical Sciences, Karaj, Iran

Source: Acta Diabetologica Published:2023


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. © 2023, Springer-Verlag Italia S.r.l., part of Springer Nature.
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