The impact of intensified clinical care on glycaemic control in patients with type 2 diabetes at Khayelitsha Community Health Centre, South Africa: Quasi-experimental study

2020 ◽  
Vol 14 (2) ◽  
pp. 97-103 ◽  
Author(s):  
Joshua Allerton ◽  
Robert Mash
2020 ◽  
Author(s):  
Björg Ásbjörnsdóttir ◽  
Marianne Vestgaard ◽  
Nicoline C. Do ◽  
Lene Ringholm ◽  
Lise L.T. Andersen ◽  
...  

2019 ◽  
Author(s):  
Mayda Alrige ◽  
Riad Alharbey ◽  
Samir Chatterjee

BACKGROUND Presently, dietary management approaches are mostly oriented toward using calorie-counting and diet-tracking tools that draw our attention away from the nutritional value of our food. To improve individuals’ dietary behavior, primarily that of people with type 2 diabetes, a simple technique is needed to increase their understanding of the nutritional content of their food. OBJECTIVE This study aimed to design, develop, and evaluate a customized nutrient-profiling tool called <i>EasyNutrition</i>. <i>EasyNutrition</i> was built to introduce the new concept of nutrient profiling by applying the Intelligent Nutrition Engine, an algorithm that we developed for ranking different food recipes based on their nutritional value. This study also aimed to investigate the efficacy of <i>EasyNutrition</i> in lowering glycated hemoglobin (HbA<sub>1c</sub>) levels and improving dietary habits among people with type 2 diabetes. METHODS We evaluated the utility of <i>EasyNutrition</i> using design science research in three sequential stages. This paper has elaborated on the third stage to investigate the efficacy of <i>EasyNutrition</i> in managing type 2 diabetes. A quasi-experimental study was conducted in a diabetes treatment center (n=28). The intervention group utilized <i>EasyNutrition</i> over 3 months, whereas participants in the control group utilized the standard of care provided by the center. Dietary habits and HbA<sub>1c</sub> levels were measured to capture any change before and after experimenting with <i>EasyNutrition</i>. RESULTS The intervention group (n=9) exhibited a statistically significant change between the pre- and postexposure results of their HbA<sub>1c</sub> (<i>t</i><sub>9</sub>=2.427; <i>P</i>=.04). Their HbA<sub>1c</sub> dropped from 8.13 to 6.72. This provided preliminary evidence of the efficacy of using a customized nutrient-profiling app in reducing HbA<sub>1c</sub> for people with type 2 diabetes. CONCLUSIONS This study adds to the evidence base that a nutrient-profiling strategy may be a modern adjunct to diabetes dietary management. In conjunction with reliable dietary education provided by a registered dietician, <i>EasyNutrition</i> may have some beneficial effects to improve the dietary habits of people with type 2 diabetes.


Author(s):  
Tania Pan ◽  
Aparajita Dasgupta ◽  
Sweta Suman ◽  
Bobby Paul ◽  
Rajarshi Banerjee ◽  
...  

Background: Although diabetes is a chronic condition, it can be controlled and managed to prevent complications. Long-standing diabetes with poor glycaemic control leads to many complications. This study aims to assess the glycaemic control status and its associated factors among type 2 diabetes patients attending Urban Health Centre in a slum of Kolkata, West Bengal.Methods: A clinic-based cross-sectional study was conducted among 184 diabetic patients attending clinic at Urban Health Centre, Chetla from October-December 2017. Each respondent was interviewed using a structured schedule to collect data on sociodemographic characteristics, physical activity, disease profile and self-care activities. Height and weight were measured. Individuals with PPBS ≥160 mg/dl were said to have poor glycaemic control. Data entry and analysis was done using SPSS version 16.0.Results: Out of 184 participants, 37.5% had poor glycaemic control. Mean (±SD) age of the participants was 51.64 (9.64) years. Median duration of diabetes was 4 years. 104 (56.5%) had overweight/ obesity. Only 26.6% had satisfactory dietary practice. Test results revealed ≥4 years duration of diabetes, overweight/ obesity, smoking, unsatisfactory diet and non-adherence to medications as significant predictors of poor glycaemic control, explaining 31.6% of the variance of glycaemic control with non-significant Hosmer–Lemeshow statistics.Conclusions: The study has identified factors associated with poor glycaemic control among the study participants. Emphasis on promoting a healthy lifestyle which includes a healthful eating plan, cessation of smoking, maintaining optimum body weight and strictly adhering of prescribed medications would go a long way in maintaining good glycaemic control.


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