Eu Jeong Ku1, Ji-In Park2, Hyun Jeong Jeon1, Taekeun Oh1, Hyung Jin Choi3. 1. Department of Internal Medicine, Chungbuk National University Hospital and Chungbuk National University College of Medicine, Cheongju, Republic of Korea. 2. Department of Anesthesiology, College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, Republic of Korea. 3. Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
Abstract
BACKGROUND: Smartphones have become novel healthcare tools for patients with diabetes. However, it is uncertain whether the smartphone application support system helps in glycaemic control in patients with type 2 diabetes. AIMS: To evaluate the efficacy and plausibility of smartphone-based integrated online real-time diabetes care. METHODS:Forty patients with type 2 diabetes were randomly assigned to the smartphone-based care (SC) (n = 20) and conventional care (CC) (n = 20) groups for 12 weeks. The SC group was instructed to use smartphone application (Noom Coach) and a glucose meter, and was provided medical supervision based on blood glucose level and food intake information sent to the central database server. The efficacy was evaluated by glycated haemoglobin (A1C ≤ 6.5%). The Summary of Diabetes Self-Care Activities (SDSCA) questionnaire was collected at baseline and at week 12. RESULTS: Seventeen and 18 patients of the SC and CC groups completed the study respectively. In the SC group, more patients achieved target A1C compared with the CC group (47.1% vs 11.1%, P = 0.019). In both group, SDSCA scores excluding the exercise item showed overall improvement (general diet, 1.4 ± 2.0 → 2.6 ± 2.3 vs 0.4 ± 1.1 → 1.8 ± 2.2; specific diet, 4.2 ± 1.7 → 5.4 ± 1.2 vs 3.8 ± 1.6 → 5.1 ± 1.1; blood glucose test, 3.3 ± 2.8 → 4.9 ± 2.3 vs 1.0 ± 2.2 → 4.7 ± 2.3; foot care, 1.5 ± 1.6 → 3.6 ± 2.8 vs 1.4 ± 1.9 → 6.1 ± 1.4; all P < 0.05). There was no difference between both groups other than the aspect of foot care (P = 0.008). CONCLUSIONS: The smartphone-based integrated online real-time diabetes care system through glucose and diet data management showed clinical plausibility in glucose control in real clinical practice.
RCT Entities:
BACKGROUND: Smartphones have become novel healthcare tools for patients with diabetes. However, it is uncertain whether the smartphone application support system helps in glycaemic control in patients with type 2 diabetes. AIMS: To evaluate the efficacy and plausibility of smartphone-based integrated online real-time diabetes care. METHODS: Forty patients with type 2 diabetes were randomly assigned to the smartphone-based care (SC) (n = 20) and conventional care (CC) (n = 20) groups for 12 weeks. The SC group was instructed to use smartphone application (Noom Coach) and a glucose meter, and was provided medical supervision based on blood glucose level and food intake information sent to the central database server. The efficacy was evaluated by glycated haemoglobin (A1C ≤ 6.5%). The Summary of Diabetes Self-Care Activities (SDSCA) questionnaire was collected at baseline and at week 12. RESULTS: Seventeen and 18 patients of the SC and CC groups completed the study respectively. In the SC group, more patients achieved target A1C compared with the CC group (47.1% vs 11.1%, P = 0.019). In both group, SDSCA scores excluding the exercise item showed overall improvement (general diet, 1.4 ± 2.0 → 2.6 ± 2.3 vs 0.4 ± 1.1 → 1.8 ± 2.2; specific diet, 4.2 ± 1.7 → 5.4 ± 1.2 vs 3.8 ± 1.6 → 5.1 ± 1.1; blood glucose test, 3.3 ± 2.8 → 4.9 ± 2.3 vs 1.0 ± 2.2 → 4.7 ± 2.3; foot care, 1.5 ± 1.6 → 3.6 ± 2.8 vs 1.4 ± 1.9 → 6.1 ± 1.4; all P < 0.05). There was no difference between both groups other than the aspect of foot care (P = 0.008). CONCLUSIONS: The smartphone-based integrated online real-time diabetes care system through glucose and diet data management showed clinical plausibility in glucose control in real clinical practice.
Authors: Kiersten L Strombotne; Jessica Lum; Nambi J Ndugga; Anne E Utech; Steven D Pizer; Austin B Frakt; Paul R Conlin Journal: Diabetes Obes Metab Date: 2021-08-19 Impact factor: 6.577