Improving the management of type 2 diabetes in China using a multifaceted digital health intervention in primary health care: the SMARTDiabetes cluster randomised controlled trial

Zhang, Puhong; Tao, Xuanchen; Ma, Yuxia; Zhang, Yaosen; Ma, Xinyan; Song, Hongyi; Liu, Yu; Patel, Anushka; Jan, Stephen; Peiris, David

doi:10.1016/j.lanwpc.2024.101130

The Lancet Regional Health - Western Pacific

2024

DOI: 10.1016/j.lanwpc.2024.101130

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Improving the management of type 2 diabetes in China using a multifaceted digital health intervention in primary health care: the SMARTDiabetes cluster randomised controlled trial

Puhong Zhang,

Xuanchen Tao,

Yuxia Ma

et al.

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References 34 publications

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Long‐Term Effects of an Automated Personalized Self‐Care Program for Patients With Type 2 Diabetes

Lee,

Park,

Lee

et al. 2024

Nursing & Health Sciences

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Elevated glycated hemoglobin (HbA1c) levels and longer disease duration increase the risk of complications in type 2 diabetes mellitus (T2DM), highlighting the need for continuous management. This study evaluated the 18‐month effects of the Automated Personalized Self‐Care (APSC) program on self‐care self‐efficacy, diabetes self‐care, and complication risk indices in T2DM patients through a randomized controlled trial. Participants aged 40–69 years were assigned to either an intervention group using the APSC mobile app, which provided personalized goals, automated feedback, and monthly support, or a comparison group. The final analysis included 43 engaged participants from the intervention group and 78 from the comparison group. Data were collected at baseline, 6, 12, and 18 months using structured questionnaires and medical record reviews and analyzed using generalized estimating equations. Significant effects were observed for self‐care self‐efficacy, diabetes self‐care activities, vegetable intake, HbA1c, and total cholesterol levels. The APSC program showed potential to improve long‐term self‐care and reduce complication risk in T2DM patients. Further research with a larger samples and strategies to promote long‐term engagement is needed for its integration into routine diabetes care.Trial Registration: Clinical Research Information Service: KCT0007672

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Long‐Term Effects of an Automated Personalized Self‐Care Program for Patients With Type 2 Diabetes

Lee,

Park,

Lee

et al. 2024

Nursing & Health Sciences

View full text Add to dashboard Cite

show abstract

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Improving the management of type 2 diabetes in China using a multifaceted digital health intervention in primary health care: the SMARTDiabetes cluster randomised controlled trial

Cited by 1 publication

References 34 publications

Long‐Term Effects of an Automated Personalized Self‐Care Program for Patients With Type 2 Diabetes

Long‐Term Effects of an Automated Personalized Self‐Care Program for Patients With Type 2 Diabetes

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