Use of a Data Management System to Provide Glycemic Control Instructions to Diabetic Patients Based on Patient Self-Measured Blood Glucose

2014 ◽  
Vol 27 (3) ◽  
pp. 103-107
Author(s):  
Masataka Kusunoki ◽  
Daisuke Sato ◽  
Takao Nakamura ◽  
Yoshiharu Oshida ◽  
Hideyo Tsutsui ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Data Management ◽  
Management System ◽  
Data Management System ◽  
Diabetic Patients

scholarly journals Diabetes Data Management System to Improve Glycemic Control in People With Type 1 Diabetes: Prospective Cohort Study (Preprint)

2017 ◽  
Author(s):  
Concetta Irace ◽  
Matthias Axel Schweitzer ◽  
Cesare Tripolino ◽  
Faustina Barbara Scavelli ◽  
Agostino Gnasso
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Data Management ◽  
Management System ◽  
Data Management System ◽  
Care Process ◽  
Self Monitoring ◽  
The Web

BACKGROUND Smartphone and Web technology can improve the health care process, especially in chronic diseases. OBJECTIVE The aim of this study was to investigate whether the use of blood glucose (BG) data management system, which enables connection to smartphones, the Web, the cloud, and downloading, can improve glycemic control in subjects with type 1 diabetes mellitus (T1DM). METHODS This study was a prospective, single-arm, cohort feasibility study with 6 months of duration. T1DM subjects enrolled had experience in self-monitoring blood glucose, but were download data naïve. Fasting BG and glycated hemoglobin (HbA1c) were collected at the enrollment and at follow-up. Subjects were divided into Downloader (DL) and No-downloader (NDL). RESULTS A total of 63 subjects were analyzed, of which 30 were classified as DL and 33 as NDL. At the end of the study, DL had significantly lower HbA1c, mean daily glucose, standard deviation, percentage of BG values above target, and pre- and postprandial (lunch and dinner) values compared with NDL (all P<.05). The percentage of BG values within treatment target was significantly higher in DL compared with NDL (47% [SD 9] vs 37% [SD 13]; P=.001). CONCLUSIONS The findings suggest that, in T1DM, downloading of BG from data management system, which enables connection to smartphones, the Web, and the cloud, might be a valuable contributor to improved glycemic control.

scholarly journals Diabetes Data Management System to Improve Glycemic Control in People With Type 1 Diabetes: Prospective Cohort Study

2017 ◽  
Vol 5 (11) ◽  
pp. e170 ◽  
Author(s):  
Concetta Irace ◽  
Matthias Axel Schweitzer ◽  
Cesare Tripolino ◽  
Faustina Barbara Scavelli ◽  
Agostino Gnasso
Keyword(s):  
Type 1 Diabetes ◽  
Cohort Study ◽  
Glycemic Control ◽  
Data Management ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Management System ◽  
Data Management System

Risk Management on Information Security in ABC Company

2017 ◽  
Vol 4 (1) ◽  
pp. 62-66
Author(s):  
Luyen Ha Nam
Keyword(s):  
Risk Management ◽  
Information Security ◽  
Data Management ◽  
Management System ◽  
Risk Mitigation ◽  
Data Management System ◽  
Data Centre ◽  
Long Time ◽  
Mitigation Action ◽  
Better Than

From long, long time ago until nowadays information still takes a serious position for all aspect of life, fromindividual to organization. In ABC company information is somewhat very sensitive, very important. But how wekeep our information safe, well we have many ways to do that: in hard drive, removable disc etc. with otherorganizations they even have data centre to save their information. The objective of information security is to keep information safe from unwanted access. We applied Risk Mitigation Action framework on our data management system and after several months we have a result far better than before we use it: information more secure, quickly detect incidents, improve internal and external collaboration etc.

Benchmarking and Analyzing the Energy Consumption of Cloud Data Management System

2014 ◽  
Vol 36 (7) ◽  
pp. 1485-1499 ◽  
Author(s):  
Jie SONG ◽  
Tian-Tian LI ◽  
Zhi-Liang ZHU ◽  
Yu-Bin BAO ◽  
Ge YU
Keyword(s):  
Energy Consumption ◽  
Data Management ◽  
Management System ◽  
Data Management System ◽  
Cloud Data ◽  
Cloud Data Management

The UNC Graph Server: A Distributed Hypermedia Data Management System

1991 ◽  
Author(s):  
Douglas E. Shackelford ◽  
John B. Smith ◽  
Joan Boone ◽  
Barry Elledge
Keyword(s):  
Data Management ◽  
Management System ◽  
Data Management System

Characteristics of monitored diabetic patients by glycated haemoglobin (HbA1c)

2016 ◽  
Vol 5 (05) ◽  
pp. 4563
Author(s):  
Tariq A. Zafar
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Glycated Haemoglobin ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Age Group ◽  
Hba1c Test ◽  
Significant Difference ◽  
Tract Infections ◽  
The Impact

Glycated haemoglobin (HbA1c) test indicates the blood glucose levels for the previous two to three months. Using HbA1c test may overcome many of the practical issues and prevent infections such as urinary tract infections (UTIs). The study aimed to evaluate the impact of glycemic control using HbA1c test to understand patient characteristics and UTIs prevalence. Glycemic control was evaluated by measuring HbA1c for a total of 208 diabetes patients who were regularly attending diabetes center in Al-Noor specialist hospital in Makkah.  The results showed that good and moderate glycemic controlled patients were 14.9% and 16.9% respectively while the poor glycemic patients were 68.3%. Among the good improved glycemic control, 83.9% were females, 48.4% were from age group (15-44y). Among the moderately improved glycemic control, 68.4% were females, 54.3% were from age group (45-64 y) with no significant difference. The total number of the patients with positive UTIs was 55 (26.4%) while the total number of patients with negative was UTIs 153 (73.6%). Among the positive UTIs, 76.3% were with poor glycemic control while only 12.3% and 11% were moderate and good improved glycemic control respectively. Among the negative UTIs, 65.3% were with poor glycemic control while only 19% and 15.7% were with moderate and good improved glycemic control respectively.  Prevalence of UTIs among diabetic patients was not significant (p > 0.05). It was concluded that HbA1c was useful monitoring tool for diabetes mellitus and may lead to improved outcomes. Using a HbA1c test may overcome many of the practical issues that affect the blood glucose tests.

Sign in / Sign up

Export Citation Format

Share Document