Type 2 Diabetes Mellitus
Conditions
Keywords
Type 2 Diabetes Mellitus, COVID-19 lockdown, Telemedicine, Obesity, Young and middle-aged
Brief summary
At present, in order to cope with the global pandemic of the COVID-19 virus, governments have introduced corresponding measures, COVID-19 lockdown is one of the most important measures. However, lockdown makes the management of chronic diseases (such as type 2 diabetes) more difficult, and telemedicine may be one of the solutions. We hope to explore the effect of telemedicine on blood glucose control and other prognostic indicators of young and middle-aged obese patients with type 2 diabetes who will experience isolation control.
Detailed description
We recruit patients with type 2 diabetes who need to be isolated due to the COVID-19 epidemic, Our study will include young and middle-aged obese patients. The lockdown period is 21 days. The patients will be randomly divided into two groups with a total follow-up time of 6 months. One group is the telemedicine intervention group, and the other group is the routine follow-up control group. The intervention group used the hospital telemedicine management system to upload blood glucose values (fasting and 2h after three meals), food intake of three meals, and exercise volume (Data collection frequency: first three months, 4 times/week; 4-6 Month, 2 times/week).Doctors will collect data from hospital telemedicine management system to guide patients on diets, exercise, and medication adjustments. The control group will be followed up by telephone/outpatient clinic every 1 week. (only telephone follow-up will be conducted during the lockdown period) Then doctors will collect their blood glucose values.(fasting and 2h after three meals) Based on the data collected, The doctors will provide lifestyle guidance to the patients on the telephone or face to face. The clinical data of the two groups of patients will be collected at baseline, 22 days, 3 months, and 6 months respectively. (HbA1c, fasting blood glucose(FBG), blood glucose 2 hours after breakfast, blood pressure, Body Mass Index(BMI), waist-to-hip ratio, total cholesterol(TC), triglyceride(TG), high-density lipoprotein cholesterol(HDL-C), low-density lipoprotein cholesterol(LDL-C), Blood Urea Nitrogen(BUN), serum creatinine(Scr), e-GFR, Self-rating Depression Scale, frequency of hypoglycemia，and Cost effectiveness) The clinical data will be statistically analyzed.
Interventions
DEVICEHospital telemedicine management system
Patients upload data of blood glucose, diet and exercise. Then doctors guide patients' diet, exercise and medication adjustment through the telemedicine system.
OTHERUsual care
Outpatient/telephone follow-up：continued care, as usual, from their primary care provider through out duration of action 6 months intervention period
Sponsors
Wenwen Yin
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 55 Years
Healthy volunteers
No
Inclusion criteria
* Physician diagnosis of Type 2 diabetes for more than 6 months * 7.0%\<HbA1c\<10.0% * Quarantine for 21 days due to COVID-19 outbreak related reasons * age: 18 \ 55 yrs * BMI≥24 * Be able use smart phones and the Internet
Exclusion criteria
* Insulin pump users * For female subjects: pregnancy or lactation, or subject may become pregnant during the study * Patient who underwent obesity surgery to the exclusion of a gastric band, loosened or removed for more than a year * Patients diagnosed with COVID-19 infection * Have severe complications (chronic heart disease, cerebrovascular disease, diagnosed HIV/AIDS, cancer, emphysema, chronic liver or kidney disease) that would affect the subjects' ability to follow the tailored advice
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Glucose control (HbA1c levels) | Baseline, 22days,3 months and 6 months | Change in HbA1c among control and telemedicine groups from baseline to 6 months |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Body mass BMI changes | Baseline, 22days,3 months and 6 months | Comparison of BMI changes among control and telemedicine groups from baseline to 6 months |
| Change in biological parameter: BUN | Baseline, 22days,3 months and 6 months | Variation between baseline to 6 months of Biological parameter among control and telemedicine groups: BUN |
| Change in biological parameter: Scr | Baseline, 22days,3 months and 6 months | Variation between baseline to 6 months of Biological parameter among control and telemedicine groups: Scr |
| Change in biological parameter: e-GFR | Baseline, 22days,3 months and 6 months | Variation between baseline to 6 months of Biological parameter among control and telemedicine groups: e-GFR |
| Change in FBG | Baseline, 22days,3 months and 6 months | Change in FBG among control and telemedicine groups from baseline to 6 months |
| Change in Blood glucose 2 hours after breakfast | Baseline, 22days,3 months and 6 months | Change in Blood glucose 2 hours after breakfast among control and telemedicine groups from baseline to 6 months |
| Change in Blood pressure | Baseline, 22days,3 months and 6 months | Change in Blood pressure among control and telemedicine groups from baseline to 6 months |
| Change in biological parameter: TC | Baseline, 22days,3 months and 6 months | Variation between baseline to 6 months of Biological parameter among control and telemedicine groups: TC |
| Change in waist-to-hip ratio | 6 months | Comparison of waist-to-hip ratio changes among control and telemedicine groups from baseline to 6 months |
| Change in biological parameter: TG | Baseline, 22days,3 months and 6 months | Variation between baseline to 6 months of Biological parameter among control and telemedicine groups: TG |
| Change in biological parameter: HDL-C | Baseline, 22days,3 months and 6 months | Variation between baseline to 6 months of Biological parameter among control and telemedicine groups: HDL-C |
Other
| Measure | Time frame | Description |
|---|---|---|
| Number of hypoglycemia events | 6 months | Hypoglycemia events for telemedicine group versus control group |
| Cost effectiveness | 6 months | The objectives are to compare the results of the study in terms of cost and cost-effectiveness of these two strategies |
| Change in scores measured by Self-rating Depression Scale | Baseline, 22days,3 months and 6 months | Self-rating Depression Scale includes 20 items in four dimensions of psychological disorders, namely, psychotic emotional symptoms, somatic disorders, psychomotor disorders, and depression. The maximum value of SDS is 50 points. A lower total score means a better situation in terms of depression and vice versa |
Countries
China
Contacts
Primary ContactWenwen Yin, MD.
Backup ContactNing Ding, MD.
Outcome results
None listed