Effects of mobile health interventions on health‐related outcomes in older adults with type 2 diabetes: A systematic review and meta‐analysis

Author:

Lee Jovin Jie Ning1ORCID,Abdul Aziz Alia2ORCID,Chan Sok‐Teng2,Raja Abdul Sahrizan Raja Syazwani Farhanah binti2,Ooi Angeline Ying Ying2,Teh Yi‐Ting2,Iqbal Usman34,Ismail Noor Azina5,Yang Aimin6,Yang Jingli78,Teh Daniel Boon Loong191011,Lim Lee‐Ling2612ORCID

Affiliation:

1. Bia‐Echo Asia Center for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine National University of Singapore Singapore

2. Department of Medicine, Faculty of Medicine University of Malaya Kuala Lumpur Malaysia

3. Global Health & Health Security Department, College of Public Health Taipei Medical University Taipei Taiwan

4. Health ICT, Department of Health Tasmania Australia

5. Department of Economics and Applied Statistics, Faculty of Business and Economics University of Malaya Kuala Lumpur Malaysia

6. Department of Medicine and Therapeutics The Chinese University of Hong Kong Hong Kong China

7. College of Earth and Environmental Sciences Lanzhou University Lanzhou China

8. School of Public Health and Social Work Queensland University of Technology Brisbane Queensland Australia

9. Department of Ophthalmology, Yong Loo Lin School of Medicine National University of Singapore Singapore

10. Department of Anatomy, Yong Loo Lin School of Medicine National University of Singapore Singapore

11. Neurobiology Programme, Life Science Institute National University of Singapore Singapore

12. Asia Diabetes Foundation Hong Kong China

Abstract

AbstractBackgroundType 2 diabetes mellitus (T2DM) is a chronic metabolic condition that is associated with multiple comorbidities. Apart from pharmacological approaches, patient self‐management remains the gold standard of care for diabetes. Improving patients' self‐management among the elderly with mobile health (mHealth) interventions is critical, especially in times of the COVID‐19 pandemic. However, the extent of mHealth efficacy in managing T2DM in the older population remains unknown. Hence, the present review examined the effectiveness of mHealth interventions on cardiometabolic outcomes in older adults with T2DM.MethodsA systematic search from the inception till May 31, 2021, in the MEDLINE, Embase, and PubMed databases was conducted, and 16 randomized controlled trials were included in the analysis.ResultsThe results showed significant benefits on glycosylated hemoglobin (HbA1c) (mean difference −0.24%; 95% confidence interval [CI]: −0.44, −0.05; p = 0.01), postprandial blood glucose (−2.91 mmol/L; 95% CI: −4.78, −1.03; p = 0.002), and triglycerides (−0.09 mmol/L; 95% CI: −0.17, −0.02; p = 0.010), but not on low‐density lipoprotein cholesterol (−0.06 mmol/L; 95% CI: −0.14, 0.02; p = 0.170), high‐density lipoprotein cholesterol (0.05 mmol/L; 95% CI: −0.03, 0.13; p = 0.220), and blood pressure (systolic blood pressure −0.82 mm Hg; 95% CI: −4.65, 3.00; p = 0.670; diastolic blood pressure −1.71 mmHg; 95% CI: −3.71, 0.29; p = 0.090).ConclusionsAmong older adults with T2DM, mHealth interventions were associated with improved cardiometabolic outcomes versus usual care. Its efficacy can be improved in the future as the current stage of mHealth development is at its infancy. Addressing barriers such as technological frustrations may help strategize approaches to further increase the uptake and efficacy of mHealth interventions among older adults with T2DM.

Publisher

Wiley

Subject

Endocrinology, Diabetes and Metabolism

Reference53 articles.

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2. Global, regional, and national burden and trend of diabetes in 195 countries and territories: an analysis from 1990 to 2025

3. International Diabetes Federation.Diabetes around the world in 2021.2022; Available from:https://diabetesatlas.org/.

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