Recent advances in computational tools and resources for the self-management of type 2 diabetes

Effectiveness of a Lifestyle Improvement Support App in Combination with a Wearable Device in Japanese People with Type 2 Diabetes Mellitus: STEP-DM Study

INTRODUCTION

Although the use of application (app)s and wearable devices supporting diabetes treatment has spread rapidly in recent years, evidence of their impact, especially in combination of them, is limited. TOMOCO™ is a lifestyle improvement support app that features interactive virtual conversations according to the programmed algorithm guiding users toward their goals of lifestyle improvement. We hypothesized that TOMOCO™ in combination with Fitbit, which accurately tracks users' activity level, would encourage people with type 2 diabetes mellitus (T2DM) to change their lifestyles and improve their glycated hemoglobin (HbA1c) levels without changes in conventional therapy. Thus, we performed the present study to explore the effectiveness of this combination in Japanese participants with T2DM who had not achieved their glycemic targets.

METHODS

In this single-arm exploratory study, participants with T2DM used the TOMOCO™ and Fitbit in addition to the conventional diet/exercise therapy and anti-diabetic drug for 12 weeks. They were provided with feedback/advice by health care providers based on the TOMOCO™ and Fitbit records. The primary endpoint was the change in HbA1c from baseline to the end of the observation period. Data were expressed as mean ± standard deviation.

RESULTS

Fifty-nine (96.7%) of the 61 participants (male, 42 [71.2%]; age, 60.1 ± 8.7 years; HbA1c level, 7.48 ± 0.37% at screening) completed the study. At the end of the observation period, the HbA1c was significantly reduced (- 0.41 ± 0.41%, p < 0.001). This trend was consistent across the preselected patient characteristics, including sex, age, and body mass index. However, it was more pronounced in the participants with earlier stages of behavioral changes defined by the transtheoretical model at baseline.

CONCLUSIONS

The unique features of TOMOCO™ in combination with Fitbit, together with conventional therapy, may promote a healthy lifestyle and thus contribute to improving HbA1c in people with T2DM.

CLINICAL TRIAL REGISTRATION

jRCT1070220007.

Diabetes Health Supervision and Treatment Strategy Based on Data Management and Analysis on eKTANG Platform

BACKGROUND

The management of diabetes-related risk factors could effectively reduce the occurrence of its complications, improve the quality of life of patients, and reduce the mortality of patients. Data analysis based on the eKTANG platform could greatly improve the efficiency of communication between patients and doctors, and strengthen the treatment and management of diabetes.

AIM

We created eKTANG to monitor patient health effectively. The eKTANG health management system aims to extensively intervene in blood glucose monitoring, nutrition, exercise, medicine, and health education to enable diabetes patients to achieve optimal treatment results.

METHODS

Diabetes patients diagnosed by Henan University Medical School included through the eKTANG platform were randomly divided into three groups: member service package group, discharge/ outpatient follow-up group, and out-of-hospital care group. We conducted intensive out-ofhospital interventions for three groups of patients for three months to help patients formulate precise blood glucose control plans and conduct training. The traditional group was compared with the eKTANG platform group, and the physiological indicators and patient compliance of the four groups were observed 6 months later.

RESULTS

In the eKTANG platform management group, the average blood glucose compliance rate increased significantly, and the percentage of average blood glucose in the range of 3.9-10.0 showed an upward trend. Fasting blood glucose and postprandial blood glucose showed a downward trend. At the same time, the number of patients per capita blood glucose monitoring showed a significant increase compared with the control group.

CONCLUSION

The establishment of the eKTANG platform can improve the efficiency of patient's medical treatment, improve their lifestyles, reduce the incidence of patient complications, and build a virtuous circle gradually. This research has strengthened the health management and autonomy of diabetic patients and improved the efficiency of treatment. It is worthy of promotion.

The effect of personalized intelligent digital systems for self-care training on type II diabetes: a systematic review and meta-analysis of clinical trials

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.

Learning in a Virtual Environment to Improve Type 2 Diabetes Outcomes: Randomized Controlled Trial

BACKGROUND

Given the importance of self-management in type 2 diabetes mellitus (T2DM), a major aspect of health is providing diabetes self-management education and support. Known barriers include access, availability, and the lack of follow through on referral to education programs. Virtual education and support have increased in use over the last few years.

OBJECTIVE

The purpose of the Diabetes Learning in a Virtual Environment (LIVE) study was to compare the effects of the LIVE intervention (educational 3D world) to a diabetes self-management education and support control website on diet and physical activity behaviors and behavioral and metabolic outcomes in adults with T2DM over 12 months.

METHODS

The LIVE study was a 52-week multisite randomized controlled trial with longitudinal repeated measures. Participants were randomized to LIVE (n=102) or a control website (n=109). Both contained the same educational materials, but the virtual environment was synchronous and interactive, whereas the control was a flat website. Data were collected at baseline and 3, 6, and 12 months using surveys and clinical, laboratory, and Fitbit measures. Descriptive statistics included baseline characteristics and demographics. The effects of the intervention were initially examined by comparing the means and SDs of the outcomes across the 4 time points between study arms, followed by multilevel modeling on trajectories of the outcomes over the 12 months.

RESULTS

This trial included 211 participants who consented. The mean age was 58.85 (SD 10.1) years, and a majority were White (127/211, 60.2%), non-Hispanic (198/211, 93.8%), married (107/190, 56.3%), and female (125/211, 59.2%). Mean hemoglobin A1c (HbA1c) level at baseline was 7.64% (SD 1.79%) and mean BMI was 33.51 (SD 7.25). We examined weight loss status versus randomized group, where data with no weight change were eliminated, and the LIVE group experienced significantly more weight loss than the control group (P=.04). There were no significant differences between groups in changes in physical activity and dietary outcomes (all P>.05), but each group showed an increase in physical activity. Both groups experienced a decrease in mean HbA1c level, systolic and diastolic blood pressure, cholesterol, and triglycerides over the course of 12 months of study participation, including those participants whose baseline HbA1c level was 8.6% or higher.

CONCLUSIONS

This study confirmed that there were minor positive changes on glycemic targets in both groups over the 12-month study period; however, the majority of the participants began with optimal HbA1c levels. We did find clinically relevant metabolic changes in those who began with an HbA1c level >8.6% in both groups. This study provided a variety of resources to our participants in both study groups, and we conclude that a toolkit with a variety of services would be helpful to improving self-care in the future for persons with T2DM.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02040038; https://clinicaltrials.gov/ct2/show/NCT02040038.

Online and Blended Learning Courses for Healthcare Professionals and Policymakers on Patients’ Perspectives on Medicine: A Project Report

In order for healthcare professionals to better engage with patients, they need to understand and integrate the perspectives of patients into their daily work. In this project, we developed two courses for healthcare professionals on patients’ perspectives on medicine. One course was an online course that introduced the patients’ perspectives on medicine and explained its importance for healthcare and health policy. The second course was a blended learning course, consisting of online modules and face-to-face webinars, which specified how to explore patients’ perspectives in qualitative interviews, and how to develop implementation plans. Patients participated in the development, execution, and evaluation of both courses. Overall, more than 2000 healthcare professionals enrolled in the first course and, in just over a year, 191 participants completed the online course; 57 healthcare professionals registered in the second blended learning course and six participants completed both components of the course. The relevance of knowledge gained was positively evaluated. Participants especially appreciated the participation of patients. Based on the feedback, the second blended learning course was adapted to run online and both courses continue to be freely available to all interested healthcare professionals on the Coursera platform.