scholarly journals Glucorio – Diabetes Management System

2020 ◽  
Vol 6 (2) ◽  
pp. 124-128
Author(s):  
Muhammad Lukman Roslan ◽  
Nur Afiqah Rahma Nosruddin ◽  
Hafizah Mansor
Keyword(s):  
Chronic Diseases ◽  
Mobile Application ◽  
Diabetes Management ◽  
Data Transfer ◽  
Self Management ◽  
Critical Conditions ◽  
Diabetic Patients ◽  
Wireless Data ◽  
Glucose Levels ◽  
Health Quality

Diabetes mellitus is a disease known as the “silent killer” disease that can lead to other chronic diseases. To prevent chronic diseases in diabetic patients, diabetes self-management plays an important role. Our mobile application, ‘Glucorio’ is designed as a tool to help patients in self-management of diabetes. Glucorio is a mobile phone-based diabetes logbook that can be connected to Accu-Chek Guide glucometer through wireless data transfer (Bluetooth) that automates the process of transferring and recording of data. Additionally, the users can also enter the data manually; data such as physical activity, food intake, eating habit tracking and many more. All the records are displayed in the form of charts and graphs to help both patients and doctors in understanding the data clearly through visualisation. The patients can therefore monitor their glucose levels, and this helps them to control their sugar intake. Thus, the patients can improve their health quality and avoid critical conditions in the future

Patients and healthcare workers experience with a mobile application for self-management of diabetes in Qatar: A Cross-sectional qualitative study (Preprint)

2020 ◽  
Author(s):  
Alaa Abd-Alrazaq ◽  
Noor Suleiman ◽  
Khaled Baagar ◽  
Noor Jandali ◽  
Ibrahem Abdalhakam ◽  
...  
Keyword(s):  
Mobile Application ◽  
Diabetes Management ◽  
Health Workers ◽  
Self Management ◽  
Diabetic Patients ◽  
Mena Region ◽  
Cross Sectional ◽  
Convenience Sample ◽  
Previous Communication ◽  
Communication Methods

BACKGROUND Diabetes mellitus (DM) is highly prevalent in Qatar and the Middle East and North Africa (MENA) region. Mobile health (m-health) can improve communications between diabetic patients and medical teams and this, in turn, may enhance engagement and self-management. Droobi is a multi-language mobile application designed to support self-management of patients with DM. OBJECTIVE The study aimed to explore experiences of patients and educators about their communication before and after implementation of Droobi, a diabetes management app. METHODS We interviewed a convenience sample consisting of 9 patients and 5 nurse educators. Before interviews, Droobi was downloaded to participants’ mobile phone, and their profile on the application was created. To ensure optimum usage experience, all participants received education on how to use Droobi. Participants used Droobi for 6 to 12 weeks. All interviews were audio recorded, transcribed by professionals, and thematically analyzed. RESULTS Two main themes were generated from participants’ responses. The first theme relates to experiences of patients and educators about their communication before Droobi and consists of 3 sub-themes: (1) how patients communicated with medical team before Droobi (previous methods), (2) adoption of previous communication methods, and (3) shortcomings of previous communication methods. The second theme relates to experiences of patients and educators about their communication after Droobi and consists of 4 sub-themes: (1) adoption of Droobi, (2) advantages of Droobi, (3) shortcomings of Droobi, and (4) improvements suggested by educators and patients. Findings suggest that Droobi provided a more efficient and convenient way for communication between health workers and patients, yet multiple shortcomings and several suggestions for improvements were noted. CONCLUSIONS Droobi has the potential to overcome disadvantages of previous communication methods, thereby increasing diabetic patient self-management. However, continuing use of Droobi is a factor for continuing its long-term viability and eventual success. Future work should continue on evaluating the Droobi app and to include a number of different stakeholders (e.g., diabetic patients, educators, doctors, researchers) when developing the upcoming Droobi version taking into account the limitations and suggestions put forth by the end-users. Further studies are needed to assess the clinical and cost effectiveness of Droobi in Qatar and the MENA region together with investigating factors affecting its initial and continued use.

"Taming the Monster aka Uncontrolled Diabetes: A Viewpoint" (Preprint)

2020 ◽  
Author(s):  
Swati Anand ◽  
Amardeep Kalsi ◽  
Jonathan Figueroa ◽  
Parag Mehta
Keyword(s):  
Blood Glucose ◽  
Diabetes Management ◽  
Positive Impact ◽  
The United States ◽  
Phone Call ◽  
Diabetic Patients ◽  
Dietary Compliance ◽  
Glucose Levels ◽  
Uncontrolled Diabetes ◽  
Number Of Patients

BACKGROUND HbA1c between 6% and 6.9% is associated with the lowest incidence of all‐cause and CVD mortality, with a stepwise increase in all‐cause and cardiovascular mortality in those with an HbA1c >7%. • There are 30 million individuals in the United States (9.4% of the population) currently living with Diabetes Mellitus. OBJECTIVE Improving HbA1C levels in patients with uncontrolled Diabetes with a focused and collaborative effort. METHODS Our baseline data for Diabetic patients attending the outpatient department from July 2018 to July 2019 in a University-affiliated hospital showed a total of 217 patients for one physician. • Of 217 patients, 17 had HbA1C 9 and above. We contacted these patients and discussed the need for tight control of their blood glucose levels. We intended to ensure them that we care and encourage them to participate in our efforts to improve their outcome. • We referred 13 patients that agreed to participate to the Diabetic educator who would schedule an appointment with the patients, discuss their diet, exercise, how to take medications, self-monitoring, and psychosocial factors. • If needed, she would refer them to the Nutritionist based on patients’ dietary compliance. • The patients were followed up in the next two weeks via telemedicine or a phone call by the PCP to confirm and reinforce the education provided by the diabetes educator. RESULTS Number of patients that showed an improvement in HbA1C values: 11 Cumulative decrease in HbA1C values for 13 patients: 25.3 The average reduction in HbA1C: 1.94 CONCLUSIONS Our initiative to exclusively target the blood glucose level with our multidisciplinary approach has made a positive impact, which is reflected in the outcome. • It leads to an improvement in patient compliance and facilitates diabetes management to reduce the risk for complications CLINICALTRIAL NA

scholarly journals A Study to Evaluate the Quality of Life of Patients with Diabetes Mellitus

2021 ◽  
pp. 575-585
Author(s):  
P. Amulya Reddy ◽  
K. Saravanan ◽  
A. Madhukar
Keyword(s):  
Diabetes Mellitus ◽  
Diabetes Management ◽  
Study Data ◽  
Categorical Variables ◽  
P Value ◽  
Diabetic Patients ◽  
Physical Endurance ◽  
Glucose Levels ◽  
Patients With Diabetes ◽  
History Of

Aim: The aim of the study was to evaluate the QOL of patients with Diabetes Mellitus. Study Design: This was a prospective, observational study. Duration of Study: The study was conducted from August 2019 to January 2021 in Yashoda Hospital, Hyderabad. Methodology: Patients of either sex with ≥1year history of diabetes willing to give the consent were included in the study. Patients of either sex with <1year history of DM, Pregnant/lactating women and patients not willing to give the consent were excluded from the study. Data on Blood glucose levels (FBS, PPBS) and HbA1C was also obtained and assessed. QOLID questionnaire was administered to the patients and assessed which consisted of a set of 34 items representing 8 domains such as Role limitation due to the physical health, Physical endurance, General health, Treatment satisfaction, Symptom botherness, Financial worries, Mental health, and Diet satisfaction). Results: A total of 200 patients were analysed in the study,108(54%) were males and 92(46%) were females. The average age of the patients was 58.5 years with majority being 51-70years (73.5%) of age. Patients with higher age and females had poor QOL compared to others. The correlation between various categorical variables with that of scores of QOL in various domains was assessed, Age of the patients influenced QOL score in various domains like RLPH (p value-0.038), PE (p value-0.0183), and SB (p value-0.0002), Gender has influenced QOL score in domains like RLPH (p value-0.0008), PE (p value-0.0106), TS (p value-0.0005) and Educational Qualification has influenced QOL score in RLPH (p value-0.0008), GH (p value-<0.0001), TS (p value-<0.0001), E/MH (p value-<0.0001). Conclusion: The results concluded that overall QOL was noticeably low in Diabetic patients especially in Women and elderly thus indicating that Diabetes management is not restricted to treatment but also requires attention on QOL of patients.

scholarly journals Postprandial hyperglycemia: a new frontier in diabetes management?

2018 ◽  
Vol 12 (2) ◽  
pp. 108
Author(s):  
Ada Maffettone ◽  
Massimo Rinaldi ◽  
Andrea Fontanella
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Diabetes Management ◽  
Strong Association ◽  
Postprandial Glucose ◽  
Postprandial Hyperglycemia ◽  
Diabetic Patients ◽  
Glucose Levels ◽  
Extensive Body

Postprandial hyperglycemia is one of the earliest abnormalities of glucose homeostasis associated with type-2 diabetes and it is markedly exaggerated in diabetic patients with fasting hyperglycemia. An extensive body of data demonstrates a strong association between postprandial glucose levels and cardiovascular risk factors. Our article will focus on the concept of postprandial hyperglycemia, its physiopathology, its role on cardiovascular risk factors and the effects of new devices and a new faster insulin analog on postprandial hyperglycemia.

scholarly journals A COMPREHENSIVE REVIEW ON DEPRESSION IN DIABETIC PATIENTS

2017 ◽  
Vol 10 (7) ◽  
pp. 23
Author(s):  
Sree Lekshmi Rs ◽  
P Shanmugasundaram
Keyword(s):  
Self Management ◽  
Diabetic Patients ◽  
Comprehensive Review ◽  
Common Life ◽  
Glucose Levels ◽  
Adherence To Diet ◽  
Blood Glucose Levels ◽  
High Hba1c ◽  
Management Approaches ◽  
Hba1c Levels

Diabetes mellitus (DM) is a frequently experienced metabolic disease with chronic features and involves numerous complications around its course, which causes severe restriction and disability in an individual’s common life. It was stated that the incidence of depression is higher in diabetic patients and that diabetes is one of the risk factors in the development of depression. Depression has been shown to be correlated with poor self-management (adherence to diet and medication, physical exercise, and monitoring of blood glucose levels) and high HbA1C levels. The main intention of this article is to produce a comprehensive review of epidemiological findings, clinical attentions, and management approaches concerning depression in patients with DM.

scholarly journals Prediction and prevention of hypoglycaemic events in type-1 diabetic patients using machine learning

2019 ◽  
Vol 26 (1) ◽  
pp. 703-718 ◽  
Author(s):  
Josep Vehí ◽  
Iván Contreras ◽  
Silvia Oviedo ◽  
Lyvia Biagi ◽  
Arthur Bertachi
Keyword(s):  
Machine Learning ◽  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Diabetes Management ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Diabetic Patients ◽  
Glucose Levels ◽  
Prediction And Prevention

Tight blood glucose control reduces the risk of microvascular and macrovascular complications in patients with type 1 diabetes. However, this is very difficult due to the large intra-individual variability and other factors that affect glycaemic control. The main limiting factor to achieve strict control of glucose levels in patients on intensive insulin therapy is the risk of severe hypoglycaemia. Therefore, hypoglycaemia is the main safety problem in the treatment of type 1 diabetes, negatively affecting the quality of life of patients suffering from this disease. Decision support tools based on machine learning methods have become a viable way to enhance patient safety by anticipating adverse glycaemic events. This study proposes the application of four machine learning algorithms to tackle the problem of safety in diabetes management: (1) grammatical evolution for the mid-term continuous prediction of blood glucose levels, (2) support vector machines to predict hypoglycaemic events during postprandial periods, (3) artificial neural networks to predict hypoglycaemic episodes overnight, and (4) data mining to profile diabetes management scenarios. The proposal consists of the combination of prediction and classification capabilities of the implemented approaches. The resulting system significantly reduces the number of episodes of hypoglycaemia, improving safety and providing patients with greater confidence in decision-making.

Perception of Barriers to Self-care Management Among Diabetic Patients

2009 ◽  
Vol 35 (5) ◽  
pp. 778-788 ◽  
Author(s):  
Julie A. Gazmararian ◽  
David C. Ziemer ◽  
Catherine Barnes
Keyword(s):  
Focus Group ◽  
Low Income ◽  
Diabetes Management ◽  
Lifestyle Changes ◽  
School Level ◽  
Self Management ◽  
Diabetic Patients ◽  
Focus Group Discussions ◽  
Group Discussions ◽  
Patients With Diabetes

Purpose The purpose of this study was to explore individual, educational, and system barriers that limit low-income diabetes patients’ ability to achieve optimal diabetes self-management. Methods Economically disadvantaged patients with diabetes who used the Diabetes Clinic of Grady Health System in Atlanta, Georgia, participated in 3 focus group discussions. Results The discussions were held with mostly African Americans (n = 35) to explore barriers to achieving optimal diabetes self-management. Most participants were not married, approximately one-third had less than high school level reading skills, and 40% were not currently working. In terms of individual barriers, the emotional toll from the diagnosis of and lifestyle changes to treat diabetes was a recurrent theme, and included stress, frustration, social isolation, interpersonal conflicts, depression, and fear. Denial was often mentioned as the key factor that inhibited adherence to a healthy mode of living. The educational barriers were failure to recognize the risks and consequences of an asymptomatic condition. Many participants did not understand A1C. Finally, several system barriers were identified. The participants identified needed services, including follow-up and refresher courses, support group discussions, nutrition and medication education, availability of different education modalities, and expanded clinic hours. Conclusions The focus group discussions identified both barriers to diabetes management and opportunities for improving care for underserved patients with diabetes. The results are useful to improve the delivery of care and to develop quantitative studies to explore particular areas of interest. Based on these results, the current system needs to provide more support and education to patients with diabetes.

scholarly journals Barriers to Diabetes Self-Management in New Zealand Patients with Type 2 Diabetes and Poor Glycaemic Control

2020 ◽  
Author(s):  
Lynne Chepulis ◽  
Brittany Morison ◽  
Shemana Cassim ◽  
Kimberley Norman ◽  
Rawiri Keenan ◽  
...  
Keyword(s):  
Glycaemic Control ◽  
Health Care Professionals ◽  
Diabetes Management ◽  
Social Stigma ◽  
Self Management ◽  
Structured Interviews ◽  
Poor Glycaemic Control ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Medication Side

Abstract Background: Despite the fact that there is an increasingly effective armoury of medications to treat diabetes many patients continue to have substantially elevated blood glucose levels. The purpose of this study was to explore what the barriers to diabetes management are in a cohort of people with diabetes and poor glycaemic control.Methods: Qualitative semi-structured interviews were carried out with 10 people with diabetes who had known diabetes and a recent HbA1c of > 11.3% (100 mmol/mol) to explore their experiences of barriers to diabetes self-management and glycaemic control. Results: Barriers to diabetes management were based around two key themes: biopsychosocial factors and disease awareness / information delivery. Specifically, financial concerns, social stigma, medication side effects and cognitive impairment due to hyperglycaemia were commonly reported as barriers to medication use. Other barriers included a lack of knowledge about their own disease, poor relationships with health care professionals and a lack of relevant resources to support diet and weight loss.Conclusion: people with diabetes with poor glycaemic control experience many of the same barriers as those reported elsewhere, but also experience issues specifically related to their severe hyperglycaemia. Management of diabetes could be improved via the increased use of patient education and availability of locally relevant resources.

scholarly journals Unmet basic needs and family functions gaps in diabetes management practice among Indonesian communities with uncontrolled type 2 diabetes: A qualitative study

2021 ◽  
Vol 16 (3) ◽  
pp. 23-35
Author(s):  
Rian Adi Pamungkas ◽  
Kanittha Chamroonsawasdi ◽  
Andi Mayasari Usman
Keyword(s):  
Qualitative Study ◽  
Management Practices ◽  
Unmet Needs ◽  
Diabetes Management ◽  
Management Practice ◽  
Self Management ◽  
Diabetic Patients ◽  
Problem Solving Skills ◽  
Family Function ◽  
Key Informants

Family members play a vital role in both helping and undermining diabetes mellitus self-management practices. This qualitative study aimed to explore the potentially unmet needs of family function to support diabetes self-management (DSM) practices. In-depth interviews and focus group discussions (FGDs) were conducted among different key informants, including uncontrolled T2DM patients, caretakers and healthcare providers (HCPs) at community health centres. An open-ended approach was applied to elicit responses from the key informants. A total of 22 participants were involved in this study. All interview and FGD processes were audio-recorded and transcribed verbatim. The results found that all key informants addressed six core themes, with sub-themes to describe the unmet needs of family function to support DSM practice. The critical unmet needs of family function include: 1) Lack of problem-solving skills to deal with poor diabetes management; 2) Ineffective communication and refusal to share the burden of diabetes management; 3) Lack of affective responsiveness to encourage patients’ compliance; 4) Lack of affective involvement in DSM; 5) Insufficient family roles in supporting patients; 6) Poor behaviour control of T2DM. Our findings provide insights into how family function may influence the adoption and maintenance of healthy behaviours among diabetic patients. Since health providers seek new approaches to improve DSM practices, this valuable finding was essential to understand how family function can improve and empower patients in DSM practice.

scholarly journals Barriers to Diabetes Self-Management in a Subset of New Zealand Adults with Type 2 Diabetes and Poor Glycaemic Control

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Lynne Chepulis ◽  
Brittany Morison ◽  
Shemana Cassim ◽  
Kimberley Norman ◽  
Rawiri Keenan ◽  
...  
Keyword(s):  
Glycaemic Control ◽  
Diabetes Management ◽  
Social Stigma ◽  
Self Management ◽  
Poor Glycaemic Control ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Semistructured Interviews ◽  
Medication Side

Background. Despite the fact that there is an increasingly effective armoury of medications to treat diabetes, many people continue to have substantially elevated blood glucose levels. The purpose of this study was to explore what the barriers to diabetes management are in a cohort of people with diabetes and poor glycaemic control. Methods. Qualitative semistructured interviews were carried out with 10 people with diabetes who had known diabetes and a recent HbA1c of >11.3% (100 mmol/mol) to explore their experiences of barriers to diabetes self-management and glycaemic control. Results. Barriers to diabetes management were based around two key themes: biopsychosocial factors and knowledge about diabetes. Specifically, financial concerns, social stigma, medication side effects, and cognitive impairment due to hyperglycaemia were commonly reported as barriers to medication use. Other barriers included a lack of knowledge about their own condition, poor relationships with healthcare professionals, and a lack of relevant resources to support diet and weight loss. Conclusion. People with diabetes with poor glycaemic control experience many of the same barriers as those reported elsewhere, but also experience issues specifically related to their severe hyperglycaemia. Management of diabetes could be improved via the increased use of patient education and availability of locally relevant resources.

Sign in / Sign up

Export Citation Format

Share Document