scholarly journals Usefulness of YouTube™ videos in training patients for blood glucose self-monitoring in current coronavirus disease-19 pandemic

2020 ◽  
Vol 72 ◽  
pp. 71-76
Author(s):  
Himel Mondal ◽  
Shaikat Mondal
Keyword(s):  
Blood Glucose ◽  
Health Care Access ◽  
Primary Care Physicians ◽  
Glucose Monitoring ◽  
Measurement Procedure ◽  
Blood Glucose Monitoring ◽  
Expiry Date ◽  
Self Monitoring ◽  
Blood Glucose Self Monitoring ◽  
Source Of Information

Objectives: During the coronavirus disease-19 pandemic, due to restricted health-care access, patients may not get hands-on training for self-monitoring of blood glucose (SMBG) from physicians. YouTube™ is a popular video-sharing web platform that can be used as a source of information for SMBG. This study aimed to assess the usefulness of YouTube™ videos on SMBG. Material and Methods: We searched the keywords “blood glucose self-monitoring,” “home blood glucose monitoring,” “blood glucose test,” and “blood sugar test” on YouTube™. The first 40 videos of each search were listed. After the two-stage screening, 49 videos were included for final data analysis. General characteristics and SMBG-specific characteristics (namely, strip handling, lancing device handling, measurement, and post- measurement action) were observed with pre-defined criteria having “yes” and “no” closed option. Data were tested statistically by the binomial test. Results: Average duration of 49 videos was 244.20 ± 72.61 s and those were online since 35.14 ± 20.52 months on YouTube™. Information about strip handling was mostly deficient, major being checking the expiry date (16.33% videos had the information). The handling of the lancing device was correct in the majority of the videos except for the disinfection of the tip of the lancing device (6.12% videos had the information). The measurement procedure was also correct in the majority of the videos except for the instruction to dry the hands (38.78% videos had the information) after washing. The post-measurement logbook entry was found in 48.98% videos. Conclusion: YouTube™ videos can be used as a potential source of information for patients’ education for SMBG. However, there are various levels of the incompleteness of the tutorials. Primary care physicians may suggest YouTube™ videos after exploring the videos and selecting the most appropriate one for their patients.

scholarly journals Hemoglobin A1C as an indicator of the accuracy of blood glucose measurement: comparative study of three technologies used for blood glucose measurements

2017 ◽  
Vol 6 (3) ◽  
pp. 919-923
Author(s):  
Hassan Almarshad
Keyword(s):  
Blood Glucose ◽  
Comparative Study ◽  
Hemoglobin A1c ◽  
Glucose Monitoring ◽  
Blood Glucose Measurement ◽  
Blood Glucose Monitoring ◽  
Glucose Measurement ◽  
Self Monitoring ◽  
Blood Glucose Self Monitoring ◽  
Monitoring Devices

In previous studies, the accuracy of glucose measurements were found with significant variations in different self-monitoring devices. This study suggests Hemoglobin a1c (Hba1c) to be used as as an indicator for the accuracy of blood-glucose monitoring devices. In this study, the association between the readings of glycohematoglobin HbA1C and the hyperglycemic readings of thirty hyperglycemic patients is used as an indicator of the accuracy of three types of glucometer devices. The association between hyperglycemic readings and the percentage of HbA1C for the same patients was investigated. The results showed significant association between levels of blood glucose and the percentage of HbA1C in three devices with statistically significant ( p < 0.05). Such relationship is suggested to be used as a relative accuracy of various types of blood glucose self-monitoring devices.

scholarly journals Problems of blood glucose self-monitoring in patients with diabetes mellitus

2022 ◽  
pp. 140-148
Author(s):  
Yu. A. Kononova ◽  
V. B. Bregovskiy ◽  
A. Yu. Babenko
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Monitoring System ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Diabetic Patients ◽  
Self Monitoring ◽  
Measurement Results ◽  
Patients With Diabetes ◽  
Blood Glucose Self Monitoring

Glycemic self-monitoring is essential in  the  treatment of  diabetes mellitus. Compliance with the  recommendations for  selfmonitoring of glycemia is an important condition for the prevention of diabetes complications. The article provides a review of the problems associated with blood glucose self-monitoring faced by diabetic patients and doctors. These include low frequency of blood glucose self-monitoring, technical errors in glucose measurements, errors in keeping a diary and errors in using measurement data to diabetes control. The blood glucose monitoring system, which includes the glucometer, test strips, application, сloud for data storage can be used for blood glucose self-monitoring in patients with diabetes mellitus. The article discusses the features and advantages of the blood glucose monitoring system. The advantages of the glucometer are the no сoding technology and the following options: аpplication of additional amount of blood to the test strip; adding meal marks, testing as the measurement results compare with targets and informing about it; storage a large number of measurement results. In addition to the standard blood glucose measurement, the glucose meter and the application offer many features to improve blood glucose self-monitoring that can help to improve diabetes management: automatic transferring measurement results to smartphone or tablet; saving notes in logbook; display of glucose trends and testing as they compare with targets; offering quick and valuable tips for critical high/low glucose values.

scholarly journals System Accuracy Evaluation of 43 Blood Glucose Monitoring Systems for Self-Monitoring of Blood Glucose according to DIN EN ISO 15197

2012 ◽  
Vol 6 (5) ◽  
pp. 1060-1075 ◽  
Author(s):  
Guido Freckmann ◽  
Christina Schmid ◽  
Annette Baumstark ◽  
Stefan Pleus ◽  
Manuela Link ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Monitoring Systems ◽  
Accuracy Evaluation ◽  
Self Monitoring

Self-monitoring Blood Glucose (SMBG): Now and the Future

2004 ◽  
Vol 17 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Amber L. Briggs ◽  
Susan Cornell
Keyword(s):  
Blood Glucose ◽  
Glucose Control ◽  
Microvascular Complications ◽  
Blood Glucose Control ◽  
Glucose Monitoring ◽  
The United States ◽  
Blood Glucose Monitoring ◽  
Self Monitoring ◽  
State Management ◽  
Monitoring Devices

In 2002, the cost of diabetes in the United States reached $132 billion. There is a well-established relationship between blood glucose control and the risk of diabetes-related complications. Tight blood glucose control, through intensive diabetes therapy, reduces the risk and delays the onset of diabetesrelated microvascular complications. Regular and consistent self-monitoring of blood glucose (SMBG) is and should be a part of all diabetes disease state management programs. Pharmacists can truly increase the numbers of patients who use SMBG by being aware and familiar with the monitoring devices available to patients and identifying the physical and psychological issues surrounding SMBG. Results from SMBG and hemoglobin A1C are the basis formost of the medical decisions made for patients with diabetes. This review discusses the best time for patients to test their blood glucose, information regarding blood glucose monitoring devices, alternative site testing, and the newest technology available in glucose monitoring.

PARAMETRIC AND NON-PARAMETRIC REGRESSION APPROACHES FOR NON-INVASIVE BLOOD GLUCOSE MONITORING

2020 ◽  
Vol 32 (06) ◽  
pp. 2050043
Author(s):  
Keshava N. Acharya ◽  
M. G. Yashwanth Gowda ◽  
M. Vijay ◽  
S. Deepthi ◽  
S. Malathi ◽  
...  
Keyword(s):  
Health Care ◽  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Glucose Monitoring ◽  
Sensor Data ◽  
Blood Glucose Monitoring ◽  
Self Monitoring ◽  
Non Invasive ◽  
Non Parametric

Blood glucose monitoring systems (BGMSs) play a crucial role in health care applications. Invasive measurements are more accurate while non-invasive BGMS encourage self monitoring and reduce the cost of health care. Though multiple sensor data acquisition and suitable processing improve accuracy, self-monitoring becomes difficult in such non-invasive systems due to multiple signal acquisition. This paper investigates a non-invasive BGMS prototype that renders accurate measurements by statistically processing a single sensor data. The developed prototype is based on near-infrared (NIR) spectroscopy, which provides an electronic voltage that gets mapped to corresponding blood glucose level. This mapping is proposed using two different statistical regression approaches, parametric Bayesian Regression (BR) approach and the non-parametric Gaussian Process Regression (GPR) approach. Dataset is acquired from 33 subjects who visited Ramaiah Medical College Hospital, India. On each subject, voltage from the BGMS prototype and corresponding invasively obtained blood glucose level have been recorded. The BR and GPR approaches are trained with 75% of the data while the remaining 25% is used for testing. Test results show that BR approach renders root mean square error (RMSE) of 3.7[Formula: see text]mg/dL, while the mean absolute percentage error (MAPE) is around 2.5. The GPR with different radial basis function kernels revealed that a multiquadric kernel provides a lowest RMSE of 3.28[Formula: see text]mg/dL and lowest MAPE of 2.2, thus outperforming the parametric BR approach. Investigations also show that for a training data of less than 15 entries, BR renders better accuracy than the GPR approach.

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