Yanmei Wang1,2,3, Ming Li4, Xinxiang Zhao5, Xinxin Pan1, Min Lu1, Jing Lu1, Yan Hu2. 1. Department of Nursing, Gongli Hospital of the Second Military Medical University, Shanghai, China. 2. School of Nursing, Fudan University, Shanghai, China. 3. Department of Postdoctoral office, Pudong Institution for Health Development, Shanghai, China. 4. Department of Director's office, Zhoupu Hospital of Pudong New Area, Shanghai, China. 5. Department of Plastic surgery, Gongli Hospital of the Second Military Medical University, Shanghai, China.
Abstract
BACKGROUND: Type 2 diabetes is a worldwide disorder that affects millions of people and can exert negative clinical and social effects on the patients. In some previous studies, mobile health applications have been used as a means of clinical intervention. However, the therapeutic effect of continuous care through mobile phone applications for patients with type 2 diabetes remains unclear. OBJECTIVE: This study aimed to explore the clinical effect of continuous care for patients with type 2 diabetes using mobile health application by comparing traditional discharge nursing. METHODS: In total, 120 patients with type 2 diabetes were randomly divided into two groups: The test group received continuous care based on the mobile phone application (n = 60), and the control group received conventional care (n = 60). Primary clinical outcomes, such as Glycaemic Haemoglobin (GH) levels, blood glucose levels, self-care abilities, disease cognition abilities, and the number of readmissions, were examined in both groups. RESULTS: The results showed significant improvements pertaining to disease awareness levels (81.28 vs 71.34, P < .05), self-management abilities (9.14 vs 7.81, P < .05), GH (-1.50% vs -0.76%, P < .05), fast blood glucose (-3.23 vs -1.25 mmol/L, P < .05), postprandial blood glucose levels (-4.34 vs -2.34 mmol, P < .05), and control levels in the test group. Moreover, in the test group, the frequency of rehospitalisation was reduced during the intervention period, as was the average number of rehospitalisation within 6 months after discharge (-1.19 vs P < .05). CONCLUSIONS:Continuous care based on a mobile health application has potential as a management strategy for patients with type 2 diabetes.
RCT Entities:
BACKGROUND:Type 2 diabetes is a worldwide disorder that affects millions of people and can exert negative clinical and social effects on the patients. In some previous studies, mobile health applications have been used as a means of clinical intervention. However, the therapeutic effect of continuous care through mobile phone applications for patients with type 2 diabetes remains unclear. OBJECTIVE: This study aimed to explore the clinical effect of continuous care for patients with type 2 diabetes using mobile health application by comparing traditional discharge nursing. METHODS: In total, 120 patients with type 2 diabetes were randomly divided into two groups: The test group received continuous care based on the mobile phone application (n = 60), and the control group received conventional care (n = 60). Primary clinical outcomes, such as Glycaemic Haemoglobin (GH) levels, blood glucose levels, self-care abilities, disease cognition abilities, and the number of readmissions, were examined in both groups. RESULTS: The results showed significant improvements pertaining to disease awareness levels (81.28 vs 71.34, P < .05), self-management abilities (9.14 vs 7.81, P < .05), GH (-1.50% vs -0.76%, P < .05), fast blood glucose (-3.23 vs -1.25 mmol/L, P < .05), postprandial blood glucose levels (-4.34 vs -2.34 mmol, P < .05), and control levels in the test group. Moreover, in the test group, the frequency of rehospitalisation was reduced during the intervention period, as was the average number of rehospitalisation within 6 months after discharge (-1.19 vs P < .05). CONCLUSIONS: Continuous care based on a mobile health application has potential as a management strategy for patients with type 2 diabetes.
Authors: Jorge César Correia; Hafsa Meraj; Soo Huat Teoh; Ahmed Waqas; Maaz Ahmad; Luis Velez Lapão; Zoltan Pataky; Alain Golay Journal: Bull World Health Organ Date: 2020-11-29 Impact factor: 9.408
Authors: Anqi Zhang; Jinsong Wang; Xiaojuan Wan; Ziyi Zhang; Shuhan Zhao; Zihe Guo; Chufan Wang Journal: Int J Environ Res Public Health Date: 2022-03-31 Impact factor: 3.390