scholarly journals Supporting on-going Diabetes Management: The Need for Frequent, Reliable Information, Decision Support and Guidance to Empower People with Diabetes

Author(s):  
Wickramasinghe N ◽  
Goldberg S

As noted by the World Health Organization (WHO) diabetes is a silent epidemic, and by 2020 there will be a 54% rise in the total number of individuals diagnosed with this disease. Moreover, diabetes is the most prevalent chronic disease globally today. What these figures underscore is that the current approaches to prevention and management of diabetes appear to be flawed and thus not delivering the desired results. While it is well recognized that early detection and proactive management of diabetes is essential, this paper suggests a technology solution to assist a key patient frustration around diet and meal planning; namely a solution that can frequently provide reliable information, decision support and guidance to empower people with type 2 diabetes.

2021 ◽  
Vol 15 (3) ◽  
Author(s):  
Supriya Patil ◽  
Yamini Patil ◽  
Sanjay Kumar Patil

Diabetes is a chronic metabolic disorder that disturbs the quality of life (QOL) of patients. Therefore, evaluation of diabetes- related QOL could be a key outcome measure for its management. This study assessed the QOL in type 2 diabetes mellitus (T2DM) patients using the World Health Organization (WHO) quality of life (QOL)˗BREF questionnaire and disease-specific appraisal of diabetes scale (ADS). In this cross-sectional study, 520 T2DM patients were included. Patients’ demographic data, clinical information was collected through interviews, and the WHOQOL-BREF instrument and ADS were used for the QOL of patients. Statistical analysis was performed by using R software (Version 3.6.0). The mean ADS scores were lower in controlled diabetic subjects (18.50±3.08) and higher in uncontrolled diabetic subjects (19.29±2.73) (P<0.05). For WHOQOL-BREF, the mean scores for all the domains (overall general health, physical, psychological, social, and environmental) were significantly higher in controlled diabetic subjects (P<0.001). In addition, the age, duration of diabetes, associated comorbidities, treatment, and HbA1c level of patients showed a highly significant correlation with WHOQOL-BREF (P<0.001). Diabetic patients had poor-to-average QOL. Therefore, public health measures and education of diabetic patients are essential to create more awareness for improving the QOL of T2DM.


Author(s):  
Charu Bansal ◽  
Rachna Jain ◽  
Umesh Shukla ◽  
Smita Paul

Diabesity term recently coined in medical field because of the very close epidemiological and pathogenic associations between central obesity and Type 2DM. Material and Methods: This review is based on data collected from published research works in various journals. Observations and Results: cited based on research reviews to find out risk odds of obesity and physical inactivity and initiation of type 2 diabetes with solutions based on improve physical activity. Conclusion: Counseling would be one of the best strategies to opt physical exercise with moderate and vigorous intensity recommended as world health organization as healthy behaviour to prevent and control of type 2 diabetes. Thus, Present write up is an effort to critically evaluate and assess the published research data on obesity and its association with development of type 2 diabetes and role of Physical exercises for prevention and control of type 2 DM as its solution with research evidences.


Author(s):  
Yosuke Takada ◽  
Yasuhiro Otomo ◽  
Khem Bahadur Karki

ABSTRACT Objectives: After the Nepal earthquake in 2015, for the first time, the Emergency Medical Team Coordination Cell (EMTCC) was activated. This study aims to evaluate the emergency medical team (EMT) coordination in the aftermath of the Nepal earthquake in 2015. Methods: This is a retrospective study that (a) describes the coordination process in Nepal, and (b) reviews and analyzes the EMT database in Nepal to classify the EMTs based on the World Health Organization (WHO) EMT classification, an online survey for EMT coordination, and the Geographic Information System-analyzed EMT distribution. Results: We recorded 150 EMTs, which included 29 Type 1-Mobile, 71 Type 1-Fixed, 22 Type 2, 1 Type 3, and 27 specialist cell recorded EMTs including the military team. The EMTs were allocated based on the number of casualties in that area. The Type 1 EMTs were deployed around Type 2 EMTs. Conclusions: The EMT Classification is useful for the effective posting of EMTs. However, the method of onsite multi registration has room for improvement. The WHO should provide an opportunity for EMTCC training for better coordination of disasters.


2016 ◽  
Vol 11 (1) ◽  
pp. 20-28 ◽  
Author(s):  
Stephan Spat ◽  
Klaus Donsa ◽  
Peter Beck ◽  
Bernhard Höll ◽  
Julia K. Mader ◽  
...  

Background: Diabetes management requires complex and interdisciplinary cooperation of health care professionals (HCPs). To support this complex process, IT-support is recommended by clinical guidelines. The aim of this article is to report on results from a clinical feasibility study testing the prototype of a mobile, tablet-based client-server system for computerized decision and workflow support (GlucoTab®) and to discuss its impact on hypoglycemia prevention. Methods: The system was tested in a monocentric, open, noncontrolled intervention study in 30 patients with type 2 diabetes mellitus (T2DM). The system supports HCPs in performing a basal-bolus insulin therapy. Diabetes therapy, adverse events, software errors and user feedback were documented. Safety, efficacy and user acceptance of the system were investigated. Results: Only 1.3% of blood glucose (BG) measurements were <70 mg/dl and only 2.6% were >300 mg/dl. The availability of the system (97.3%) and the rate of treatment activities documented with the system (>93.5%) were high. Only few suggestions from the system were overruled by the users (>95.7% adherence). Evaluation of the 3 anonymous questionnaires showed that confidence in the system increased over time. The majority of users believed that treatment errors could be prevented by using this system. Conclusions: Data from our feasibility study show a significant reduction of hypoglycemia by implementing a computerized system for workflow and decision support for diabetes management, compared to a paper-based process. The system was well accepted by HCPs, which is shown in the user acceptance analysis and that users adhered to the insulin dose suggestions made by the system.


2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
J. L. Clua-Espuny ◽  
M. A. González-Henares ◽  
M. L. L. Queralt-Tomas ◽  
W. Campo-Tamayo ◽  
E. Muria-Subirats ◽  
...  

Aims/Introduction. Determining the prevalence of diabetes and its cardiovascular complications and all-cause mortality in older chronic complex patients. Materials and Methods. We carried out a multicenter retrospective study and included a randomized sample of 932 CCP people. We assessed the prevalence of diabetes according to World Health Organization criteria. Data included demographics and functional, comorbidity, cognitive, and social assessment. Results. The prevalence of diabetes was 53% and average age 81.16±8.93 years. There were no significant differences in the survival of CCP patients with or without DM, with or without ischaemic cardiopathy, and with or without peripheral vascular disease. The prognostic factors of all-cause mortality in patients with DM were age ≥ 80 years [HR 1.47, 95% CI 1.02–2.13, p  0.038], presence of heart failure [HR 1.73, 95% CI 1.25–2.38, p  0.001], Charlson score [HR 1.20, 95% CI 1.06–1.36, p  0.003], presence of cognitive impairment [HR 1.73, 95% CI 1.24–2.40, p  0.001], and no treatment with statins [HR 1.49, 95% CI 1.08–2.04, p  0.038]. Conclusions. We found high prevalence of DM among CCP patients and the relative importance of traditional risk factors seemed to wane with advancing age. Recommendations may include relaxing treatment goals, providing family/patient education, and enhanced communication strategies.


2018 ◽  
Vol 120 (2) ◽  
pp. 483-489
Author(s):  
João Pedro Marques Lima ◽  
Sofia A. Costa ◽  
Ada Rocha

Purpose Excessive high caloric and nutritional intake has been associated with weight gain which is linked to an increased prevalence of cardiovascular disease, type 2 diabetes and several types of cancers. The purpose of this paper is to characterize the nutritional intake pattern of the population in terms of energy, macro and micronutrients. Design/methodology/approach There were assessed 513 workers of the University of Porto (UP) randomly selected. The Food Processor Plus was used to convert foods into nutrients and, to assess nutritional intake adequacy. Data were compared to Dietary Reference Intakes and with recommended ranges by the World Health Organization. Findings The intake of most individuals was above recommendations for protein, carbohydrates and sodium. The average of energy intake observed in UP employees was lower than data available for Portuguese general population. The protein, carbohydrates, total fat and water intake, cholesterol, saturated, monounsaturated, polyunsaturated fatty acids and sodium intake were found to be significantly higher for men. Significant differences were found for vitamin D and calcium between age ranges; Carbohydrates, sugar, monounsaturated fatty acids, cholesterol, water and vitamin K was significantly different between teachers and non-teachers. Originality/value According to nutritional intake analysis, food consumption of this population was unbalanced, attending to high protein, carbohydrates and sodium intake.


2016 ◽  
Vol 62 (5) ◽  
pp. 9 ◽  
Author(s):  
Zhanna R Balkhiyarova ◽  
Diana S Avzaletdinova ◽  
Tatyana V Morugova ◽  
Leisan F Sharipova ◽  
Margaret Amankwah-Poku ◽  
...  

Background. Obesity mainly caused by overeating is one of the most important risk factor of type 2 diabetes mellitus (T2DM). The aim of the present study was to investigate eating behavior types of patients with T2DM and obesity.Methods. We compared samples of patients with T2DM from the UK (N=113, 64 men) and Russia (N=200; 61 men) whom we asked to complete the Dutch Eating Behaviour Questionnaire (DEBQ). Mean age was 61.2±9.7 years old (range 39-85 years). Physical assessment included height, weight, body mass index and obesity degree according World Health Organization. Statistical analyses were performed using SPSS 21.0. Means (SD), 95% confidence interval (CI) were calculated.Results. One hundred seventy-nine patients were classified as obese (range 30.0 – 53.9). Mean values for restraint, emotional and external eating for this obese group were 2.8±0.07 (95% CI 2.7-3.0), 3.3±0.08 (95% CI 3.2-3.5) and 3.0±0.05 (95% CI 2.9-3.2), respectively. Russian patients showed higher levels of external eating (p<0.0001) and emotional eating (p<.0001) than their UK counterparts, but levels of restraint eating did not differ by country (p=0.30). HbA1c was significantly lower in the Russian patients compared to the UK patients (p=0.04). Multiple regression analysis showed that emotional eating, but not restraint or external eating was a significant predictor of BMI even when controlling for age, sex, HbA1c and country (β = 0.56; p < 0.0001; 95%CI 1.03-3.0)Conclusion. Present study has shown that emotional eating is an important correlate of BMI in patients with T2DM patients. However, eating behaviour styles may differ by country.


2018 ◽  
Vol 7 (4.30) ◽  
pp. 355
Author(s):  
S. S. N. Zainal ◽  
M. J. Masnan ◽  
A. Ahmed ◽  
N. A. M. Amin

Type 2 Diabetes Mellitus (T2DM) is a chronic disease that can cause premature deaths worldwide. Malaysia is one of the many countries that facing this serious epidemic. The World Health Organization (WHO) has also estimated that Malaysia would have 2.8 million people having T2DM disease in 2030. This study aims to identify significant predictors for prediction of undiagnosed T2DM patients in one of the highest prevalence states of T2DM. Binary logistic regression model proposed to predict the presence of T2DM among undiagnosed respondents. The selection of significant predictors using univariate, multivariate and backward stepwise selection was implemented in this study. The study concludes that four predictors were found significant for prediction of undiagnosed T2DM patients.


2021 ◽  
Vol 2 (6) ◽  
pp. 53-56
Author(s):  
Irina A. Novikova ◽  
◽  
Tatiana M. Panina ◽  

Type 2 diabetes mellitus is a violation of carbohydrate metabolism caused by insulin resistance and relative insulin insufficiency or a violation of insulin secretion with or without insulin resistance. The number of people with diabetes increased from 108 million in 1980 to 422 million in 2014. The World Health Organization (WHO) predicts that by 2030 this number will increase to 439 million, which is almost 10% of the adult population. A dentist is often the first to encounter manifestations of diabetes mellitus in the oral cavity, such as caries, candidiasis, dryness, inflammatory periodontal diseases, etc. Therefore, timely diagnosis and close interaction of doctors of different specialties is crucial for the treatment of this disease.


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