scholarly journals Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study

10.2196/11933 ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. e11933 ◽  
Author(s):  
Josep Vehi ◽  
Jordi Regincós Isern ◽  
Adrià Parcerisas ◽  
Remei Calm ◽  
Ivan Contreras
Keyword(s):  
Blood Glucose ◽  
Glucose Control ◽  
Diabetes Management ◽  
Blood Glucose Control ◽  
Evaluation Study ◽  
Control Evaluation

scholarly journals Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study (Preprint)

2018 ◽  
Author(s):  
Josep Vehi ◽  
Jordi Regincós Isern ◽  
Adrià Parcerisas ◽  
Remei Calm ◽  
Ivan Contreras
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Diabetes Management ◽  
Blood Glucose Control ◽  
Evaluation Study ◽  
High Blood Glucose ◽  
Group A ◽  
Control Evaluation ◽  
Group B ◽  
The Impact

BACKGROUND Technology has long been used to carry out self-management as well as to improve adherence to treatment in people with diabetes. However, most technology-based apps do not meet the basic requirements for engaging patients. OBJECTIVE This study aimed to evaluate the effect of use frequency of a diabetes management app on glycemic control. METHODS Overall, 2 analyses were performed. The first consisted of an examination of the reduction of blood glucose (BG) mean, using a randomly selected group of 211 users of the SocialDiabetes app (SDA). BG levels at baseline, month 3, and month 6 were calculated using the intercept of a regression model based on data from months 1, 4, and 7, respectively. In the second analysis, the impact of low and high BG risk was examined. A total of 2692 users logging SDA ≥5 days/month for ≥6 months were analyzed. The highest quartile regarding low blood glucose index (LBGI) and high blood glucose index (HBGI) at baseline (t1) was selected (n=74 for group A; n=440 for group B). Changes in HBGI and LBGI at month 6 (t2) were analyzed. RESULTS For analysis 1, baseline BG results for type 1 diabetes mellitus (T1DM) groups A and B were 213.61 (SD 31.57) mg/dL and 206.43 (SD 18.65) mg/dL, respectively, which decreased at month 6 to 175.15 (SD 37.88) mg/dL and 180.6 (SD 40.47) mg/dL, respectively. For type 2 diabetes mellitus (T2DM), baseline BG was 218.77 (SD 40.18) mg/dL and 232.55 (SD 46.78) mg/dL, respectively, which decreased at month 6 to 160.51 (SD 39.32) mg/dL and 173.14 (SD 52.81) mg/dL for groups A and B, respectively. This represents a reduction of estimated A1c (eA1c) of approximately 1.3% (P<.001) and 0.9% (P=.001) for T1DM groups A and B, respectively, and 2% (P<.001) for both A and B T2DM groups, respectively. For analysis 2, T1DM baseline LBGI values for groups A and B were 5.2 (SD 3.9) and 4.4 (SD 2.3), respectively, which decreased at t2 to 3.4 (SD 3.3) and 3.4 (SD 1.9), respectively; this was a reduction of 34.6% (P=.005) and 22.7% (P=.02), respectively. Baseline HBGI values for groups A and B were 12.6 (SD 4.3) and 10.6 (SD 4.03), respectively, which decreased at t2 to 9.0 (SD 6.5) and 8.6 (SD 4.7), respectively; this was a reduction of 30% (P=.001) and 22% (P=.003), respectively. CONCLUSIONS A significant reduction in BG was found in all groups, independent of the use frequency of the app. Better outcomes were found for T2DM patients. A significant reduction in LBGI and HBGI was found in all groups, regardless of the use frequency of the app. LBGI and HBGI indices of both groups tend to have similar values after 6 months of app use.

scholarly journals Correlation Between Blood Glucose Control And Decrease Of Peripheral Vascularization In Diabetes Mellitus Patient

2018 ◽  
Vol 4 (1) ◽  
pp. 18
Author(s):  
Fitria Endah Janitra ◽  
Dinda Sandika
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Glucose Control ◽  
Diabetes Management ◽  
Blood Glucose Control ◽  
Nursing Intervention ◽  
Tissue Ischemia ◽  
Control Blood Glucose ◽  
Glucose Levels ◽  
Blood Glucose Levels

Introduction: Diabetes mellitus (DM) is a metabolic disorder characterized by elevated blood glucose levels. Chronic complications of DM affect coronary circulation, peripheral vascularization, and blood vessels of the brain. Decrease in peripheral vascularization increases the risk of tissue ischemia and weakens functional status, therefore it is necessary to control blood glucose levels. Islam teaches to its believers to control their diet, where diet is one of the four pillars of diabetes management. Methodology: this is analytic descriptive research with cross sectional methods in 67 respondents taken by consecutive sampling technique. Results: There was a significant correlation within blood glucose control and decreased peripheral vascularization in DM patients (p-value 0.010). Discussion: need further research regarding nursing intervention to control blood glucose.

scholarly journals Impact of diabetes self-management, diabetes management self-efficacy and diabetes knowledge on glycemic control in people with Type 2 Diabetes (T2D): A multi-center study in Thailand

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244692
Author(s):  
Cameron P. Hurst ◽  
Nitchamon Rakkapao ◽  
Karen Hay
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Glucose Control ◽  
Self Efficacy ◽  
Diabetes Management ◽  
Blood Glucose Control ◽  
Patient Characteristics ◽  
Self Management ◽  
Diabetes Knowledge

We investigate the relationship of diabetes knowledge, diabetes management self-efficacy and diabetes self-management with blood glucose control among people with Thai type 2 diabetes mellitus (T2D). Seven hundred outpatients from diabetes clinics from large university and small community hospitals in two provinces of Thailand (Khon Kaen and Bangkok) were interviewed to evaluate their diabetes knowledge (DK), diabetes management self-efficacy (DMSE) and diabetes self-management (DSM). In addition, patient medical records were accessed to obtain other patient characteristics including patients’ HbA1c levels. Bivariate and multivariable logistic regression modelling was conducted and unadjusted and adjusted odds ratios obtained, respectively. Over half (52.4%) of the patients in our sample failed to control their blood glucose (HbA1c > 7%). All three psychometric measures (DK, DMSE and DSM) were identified as associated with blood glucose control in the bivariate analysis (ORDK(unadj) = 0.89, 95%CI: 0.82, 0.96; ORDSM(unadj) = 1.64, 95%CI: 1.46, 1.82; ORDMSE(unadj) = 2.84; 95%CI: 2.43, 3.32). However, after mutual adjustment and adjustment for other patient characteristics, of the three psychometric measures, only diabetes management self-efficacy remained associated with blood glucose control (ORDMSE(adj) = 2.67; 95%CI: 2.20, 3.25). Diabetes management self-efficacy is shown to be strongly associated with blood glucose control in the Thai Type 2 diabetes population. Current early diabetes interventions in Thailand tend to focus on disease knowledge. A stronger emphasis on enhancing patients’ disease management self-efficacy in these interventions is likely to lead to substantial improvement in both diabetes self-management and blood glucose control, thereafter reducing the risk, or prolonging the development, of chronic diabetes complications.

Use of protein-based standards in automated colorimetric determinations of fructosamine in serum.

1985 ◽  
Vol 31 (9) ◽  
pp. 1550-1554 ◽  
Author(s):  
J R Baker ◽  
P A Metcalf ◽  
R N Johnson ◽  
D Newman ◽  
P Rietz
Keyword(s):  
Blood Glucose ◽  
Glucose Control ◽  
Diabetes Management ◽  
Serum Proteins ◽  
Colorimetric Assay ◽  
Population Sample ◽  
Blood Glucose Control ◽  
Insulin Dependent Diabetes Mellitus ◽  
Dependent Diabetes Mellitus ◽  
Solution Ph

Abstract We have developed an automated colorimetric assay for glycated serum proteins (or fructosamines), measuring the reducing activity of serum in alkaline solution (pH 10.35) at 37 degrees C. The calibrants were prepared from a synthetic fructosamine (1-deoxy-1-morpholinofructose), although secondary standards of glycated bovine albumin were more robust in routine application. Interference was appreciable only with icteric specimens (bilirubin greater than 60 mumol/L), and between-batch imprecision (CV) was less than 2%. The range of fructosamine concentrations measured in 502 healthy (nondiabetic) blood donors was 1.87-2.87 mmol/L. There were no significant (p greater than 0.05) age- or sex-related differences in this population sample. Fructosamine accurately reflected blood glucose control as evidenced by the significant correlation with glucose concentrations in fasting plasma (r = 0.82, p less than 0.001) and with glycated hemoglobin (HbA1c) (r = 0.87, p less than 0.01) in 115 patients with type 2 (non-insulin-dependent) diabetes mellitus. The test is simple and rapid to perform (75 samples per hour) and provides an alternative to HbA1c determinations for monitoring blood glucose control and assessing the effects of changes in diabetes management.

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