scholarly journals Self-management of diabetes

2013 ◽  
Vol 4 (4) ◽  
pp. 17-20
Author(s):  
S. V Nedogoda ◽  
A. S Salasyuk ◽  
I. N Barykina ◽  
V. Yu Khripaeva
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Effective Treatment ◽  
Present Article ◽  
Continuous Monitoring ◽  
International Standards ◽  
Self Control ◽  
Self Management ◽  
National Guidelines ◽  
Treatment Of Diabetes

The theory based on the supposition that for the effective treatment of diabetes patients should largely take responsibility for their health, is of no doubt. This is only possible if patients are properly trained to perform continuous monitoring of their disease and have at their disposal some modern easily manageable blood glucose meters that meet international standards and. The present article highlights the changes in the last revision of national guidelines related to the treatment of self-control, as well as existing modern demands in instrumentation for glycemic control.

778-P: The Impact of Self-Management Blood Glucose (SMBG) Real-Time Decision Support on Glycemic Control in Adult with T1D in China

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 778-P
Author(s):  
ZIYU LIU ◽  
CHAOFAN WANG ◽  
XUEYING ZHENG ◽  
SIHUI LUO ◽  
DAIZHI YANG ◽  
...  
Keyword(s):  
Decision Support ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Real Time ◽  
Self Management ◽  
The Impact

scholarly journals Color Record in Self-Monitoring of Blood Glucose Improves Glycemic Control by Better Self-Management

2014 ◽  
Vol 16 (7) ◽  
pp. 447-453 ◽  
Author(s):  
Akiko Nishimura ◽  
Shin-ichi Harashima ◽  
Ikumi Honda ◽  
Yoshiyuki Shimizu ◽  
Norio Harada ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Self Management ◽  
Self Monitoring

scholarly journals Improving glycemic control in patients of South Asian origin with type 2 diabetes using a digital therapeutic (Preprint)

2020 ◽  
Author(s):  
Arjun Krishnakumar ◽  
Rajeev Chawla ◽  
Aravind Sosale ◽  
Banshi Saboo ◽  
Shilpa Joshi ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Glycemic Control ◽  
South Asian ◽  
Real World ◽  
Self Management ◽  
Post Intervention ◽  
The Mean ◽  
Program Engagement

BACKGROUND Global prevalence of type 2 diabetes (T2D), especially among South Asians, has risen alarmingly in the last decade with little improvements in glucose control. OBJECTIVE We investigated the real-world effectiveness of the Wellthy CareTM (WC) digital therapeutic in improving glycemic control among the South Asian population of Indian origin. METHODS We conducted a retrospective, real-world, observational study on 102 patients with T2D from India enrolled on a 16-week structured self-management program delivered through the WC mobile app. Patients recorded their meals, weight, physical activity, and blood sugar in the app and received coaching on self-care behaviors (healthy eating, being active, monitoring, medication adherence, problem-solving, healthy coping, and reducing risks) through structured lessons, an artificial intelligence (AI)-powered chatbot, that provided real-time feedback, and periodic, planned interactions through certified diabetes educators via voice calls and chats. The Primary outcome of the program was change in HbA1c. Secondary outcomes included, difference between the pre-and post-intervention fasting blood glucose (FBG) and postprandial blood glucose (PPBG); change in BMI and weight at the completion of 16-week program; the association between program engagement, that was measured as the total number of interactions with the health coach and the AI-powered chat-bot, and the change in HbA1c, FBG, and PPBG. RESULTS At the end of 16 weeks, the average change in HbA1c was –0.49% (95% CI −0.73 to −0.25, P < .001). Out of all the patients, 63.72% had improved HbA1c levels with the mean change being −1.16% (95% CI −1.40 to −0.92, P < .001). The mean pre-and post-intervention FBG were 145.38 mg/dl (95% CI: 135.44 to 155.33) and 134.3 mg/dl (95% CI: 122.15 to 146.54, P = .023), and PPBG was 187.84 mg/dl (95% CI: 172.47 to 203.21) and 166.36 mg/dl (95% CI: 152.83 to 179.89, P = .028). Mean change in BMI and weight was –0.47 kg/m2 (95% CI −0.22 to −0.71 kg/m2, P < 0.001), and –1.32 kg (95% CI −0.63 to −2.01 kg, P < 0.001), respectively. There was a step-wise decrease in HbA1c, FBG, and PPBG as the program engagement increased. Patients in the highest tertile of program engagement had a significantly higher reduction in HbA1c (−0.84% vs −0.06%, P = .016), FBG (−21.4 mg/dl vs −0.18 mg/dl, P = .023), and PPBG (−22.03 mg/dl vs 2.35 mg/dl, P = .0022) than those in the lowest tertile. CONCLUSIONS The WC digital therapeutic intervention is associated with improved glucose control and other health outcomes. Digital interventions could potentially help in relieving the rising diabetes burden among South Asian populations by bringing about effective behavior change and better diabetes self-management.

scholarly journals Sensory Elements and Devices Operational Diagnostic Blood Glucose

2016 ◽  
Vol 17 (1) ◽  
pp. 108-113
Author(s):  
I.T. Kogut ◽  
M.V. Kotyk
Keyword(s):  
Blood Glucose ◽  
Continuous Monitoring ◽  
Diagnostic System ◽  
Basic Principles ◽  
Measuring Device ◽  
Non Invasive ◽  
Invasive Method ◽  
Personal Use ◽  
Treatment Of Diabetes ◽  
Measurement Devices

The problem of monitoring diabetes is caused as a significant prevalence of the disease, and development on this basis of complex related complications, early disability and mortality. [1] So important is operational and continuous monitoring of blood glucose (MBG), which will increase rates treatment of diabetes. Currently developed compact diagnostic system CMG for both the clinic and personal use. These systems are the most invasive, requiring immediate blood sampling. At the same time, become of diagnostic devices which are based on non-invasive method that the accuracy inferior invasive, but is more promising, because they have more functionality in terms of ease of measurement, storage and processing results. These systems include a measuring device and sensor elements. This paper will review methods and analysis of the basic principles of measurement devices MBG to develop circuit solutions for the creation of sensor and microsystem elements for noninvasive monitoring MBG.

scholarly journals Analysis of “Use of Blood Glucose Meters Featuring Color Range Indicators Improves Glycemic Control and Patients With Diabetes in Comparison to Blood Glucose Meters Without Color (ACCENTS Study)”

2018 ◽  
Vol 12 (6) ◽  
pp. 1220-1222 ◽  
Author(s):  
Andjela T. Drincic
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Current Issue ◽  
Self Management ◽  
Self Monitoring ◽  
Glucose Levels ◽  
Fundamental Part ◽  
Color Range ◽  
Oral Agents ◽  
Patients With Diabetes

Self-monitoring of blood glucose is a part of integral care of patients with diabetes mellitus. Understanding and appropriately responding to glucose levels is a fundamental part of self-management. Grady et al’s work, published in the current issue of Journal of Diabetes Science and Technology, investigated whether switching people with diabetes from their usual meter to a meter featuring color range indicator (CRI) could improve glycemic control, by facilitating improved understanding of blood glucose targets. In this small but well-designed study, the authors have shown that meters with CRI features offer a potential advantage and may improve glucose control in patients with diabetes, both with T1D and T2D, across the therapy spectrum from oral agents to insulin therapy.

Personal Models of Diabetes Among Older Adults: Relationship to Self-Management and Other Variables

1995 ◽  
Vol 21 (4) ◽  
pp. 300-307 ◽  
Author(s):  
Sarah E. Hampson ◽  
Russell E. Glasgow ◽  
Lyn S. Foster
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Dietary Intake ◽  
Treatment Effectiveness ◽  
Self Management ◽  
Glucose Testing ◽  
Blood Glucose Testing

The purpose of this study was to test whether older patients' personal models of diabetes predict their levels of self-management activities (dietary intake, physical activity, and blood glucose testing) and glycemic control. The Personal Models of Diabetes Interview (PMDI) was administered on two occasions to 78 patients (≥60 years) with non- insulin-dependent diabetes mellitus. Self-management behaviors, quality of life, and affect were assessed on the second occasion and at 4 months. Glycemic control was assessed at 4 months. Three constructs of the PMDI (cause, treatment effectiveness, and seriousness) were correlated significantly with several aspects of quality of life and with negative affect. Personal models, especially beliefs regarding treatment effectiveness, were predictive of dietary intake and physical activity but not blood glucose testing. Assessing patients' personal models is valuable for individualizing education and counseling for nutrition and physical activity, and selecting strategies consistent with patients' perspectives.

scholarly journals Glycemic Control in Diabetic Patients in Saudi Arabia: The Role of Knowledge and Self-Management - A Cross-Sectional Study

2017 ◽  
Vol 9 (12) ◽  
pp. 25
Author(s):  
Saad M. AlShareef ◽  
Abdullah A. AlWabel ◽  
Mujahed A. AlKhathlan ◽  
Ahmed A. AlKhazi ◽  
Abdulaziz K. AlMaarik ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Blood Glucose ◽  
Medication Adherence ◽  
Glycemic Control ◽  
Self Management ◽  
Diabetic Patients ◽  
Diabetes Knowledge ◽  
Cross Sectional ◽  
Glucose Levels ◽  
Blood Glucose Levels

INTRODUCTION: Diabetes mellitus (DM) is serious healthcare concern in Saudi Arabia, with the disease’s prevalence in the country being one of the highest worldwide. This study examines various factors which affect outcomes of patients with DM; namely, medication adherence, diabetes knowledge, self-management behaviours, and glycemic control.METHODS: This is a cross-sectional survey-based study. Participants were patients with a DM diagnosis at King Saud Medical City in Riyadh, Saudi Arabia.RESULTS: Positive associations were found between medication adherence and diabetes knowledge; self-management behaviours (glucose management and healthcare use) and diabetes knowledge; self-management behaviours (dietary control) and fasting blood glucose levels; and age and blood glucose levels (both fasting and HgA1c). No associations were found between diabetes knowledge and glycemic control; or between self-management behaviours and HgA1c levels.CONCLUSION: Having good knowledge of diabetes is associated with medication adherence and healthcare self-management. Healthcare practitioners should consider educating DM patients an integral part of the treatment process.

scholarly journals Patterns of Glycemic Variability During a Diabetes Self-Management Educational Program

2019 ◽  
Vol 7 (3) ◽  
pp. 52 ◽  
Author(s):  
Ankur Joshi ◽  
Arun Mitra ◽  
Nikhat Anjum ◽  
Neelesh Shrivastava ◽  
Sagar Khadanga ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Optimal Control ◽  
Type 2 Diabetes Mellitus ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Glycemic Variability ◽  
Self Management ◽  
Control Group

Background: Variations in blood glucose levels over a given time interval is termed as glycemic variability (GV). Higher GV is associated with higher diabetes-related complications. The current study was done with the aim of detecting the sensitivity of various GV indices among individuals with type 2 diabetes mellitus of different glycemic control status. Methods: We performed a longitudinal study among individuals with type 2 diabetes mellitus (T2DM) who were participating in a two-week diabetes self-management education (DSME) program. Participants were categorized by their HbA1c as poor (≥8%), acceptable (7%–8%), and optimal control (<7%). Continuous glucose monitoring (CGM) sensors recorded interstitial glucose every 15 min from day 1. The evaluated GV measures include standard deviation (SD), coefficient of variation (CV), mean amplitude of glycemic excursion (MAGE), continuous overlapping net glycemic action (CONGA), mean of daily difference for inter-day variation (MODD), high blood glucose index (HBGI), and low blood glucose index (LBGI). Results: A total of 41 study participants with 46347 CGM values were available for analysis. Of 41 participants, 20 (48.7%) were in the poor, 10 (24.3%) in the acceptable, and 11 (26.8%) in the optimal control group. The GV indices (SD; CV; MODD; MAGE; CONGA; HBGI) of poorly controlled (77.43; 38.02; 45.82; 216.63; 14.10; 16.62) were higher than acceptable (50.02; 39.32; 30.79; 138.01; 8.87; 5.56) and optimal (34.15; 29.46; 24.56; 126.15; 8.67; 3.13) control group. Glycemic variability was reduced in the poorly and acceptably controlled groups by the end of the 2-week period. There was a rise in LBGI in the optimally controlled group, indicating pitfalls of tight glycemic control. Conclusion: Indices of glycemic variability are useful complements, and changes in it can be demonstrated within short periods.

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