Blood Glucose Monitoring Before and After Type 1 Diabetes Clinic Visits

2017 ◽  
Vol 44 (1) ◽  
pp. 32-39 ◽  
Author(s):  
Kimberly A Driscoll ◽  
Suzanne Bennett Johnson ◽  
Yuxia Wang ◽  
Nancy Wright ◽  
Larry C Deeb
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Diabetes Clinic ◽  
Before And After ◽  
Clinic Visits

The impact of limited and strategic blood glucose monitoring on metabolic control in a type 1 diabetes clinic in Central India

2020 ◽  
Vol 40 (4) ◽  
pp. 578-584
Author(s):  
Caroline S. Zuijdwijk ◽  
Sharad Pendsey ◽  
James Ron ◽  
Graham D. Ogle ◽  
Amisha Agarwal ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Metabolic Control ◽  
Glucose Monitoring ◽  
Central India ◽  
Blood Glucose Monitoring ◽  
Diabetes Clinic ◽  
The Impact

scholarly journals Does Blood Glucose Monitoring Increase Prior to Clinic Visits in Children With Type 1 Diabetes?

Diabetes Care ◽  
2011 ◽  
Vol 34 (10) ◽  
pp. 2170-2173 ◽  
Author(s):  
K. A. Driscoll ◽  
S. B. Johnson ◽  
Y. Tang ◽  
F. Yang ◽  
L. C. Deeb ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Clinic Visits

136-OR: Nocturnal Hypoglycemia Prevention Strategies Used by People with Type 1 Diabetes According to Their Insulin Delivery and Blood Glucose Monitoring Technology

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 136-OR
Author(s):  
MERYEM K. TALBO ◽  
VIRGINIE MESSIER ◽  
KATHERINE DESJARDINS ◽  
RÉMI RABASA-LHORET ◽  
ANNE-SOPHIE BRAZEAU ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Glucose Monitoring ◽  
Insulin Delivery ◽  
Blood Glucose Monitoring ◽  
Prevention Strategies ◽  
Monitoring Technology ◽  
Nocturnal Hypoglycemia

scholarly journals Comparison between adherence assessments and blood glucose monitoring measures to predict A1c in type 1 diabetes

2015 ◽  
Vol 7 (S1) ◽  
Author(s):  
Gabriela Heiden Teló ◽  
Martina Schaan de Souza ◽  
Thaís Sturmer Andrade ◽  
Beatriz D'Agord Schaan
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring

scholarly journals Glycemic Control and Blood Glucose Monitoring Over Time in a Sample of Young Australians With Type 1 Diabetes: The role of personality

Diabetes Care ◽  
2013 ◽  
Vol 36 (10) ◽  
pp. 2968-2973 ◽  
Author(s):  
D. Waller ◽  
C. Johnston ◽  
L. Molyneaux ◽  
L. Brown-Singh ◽  
K. Hatherly ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Over Time

789-P: Self-Care for Blood Glucose Monitoring (BGM) in Teens with Type 1 Diabetes (T1D): Impact of Real-Time Positive and Negative Affect

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 789-P
Author(s):  
AMIT SHAPIRA ◽  
LISA K. VOLKENING ◽  
JOSHUA BORUS ◽  
LORI M. LAFFEL
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Negative Affect ◽  
Real Time ◽  
Glucose Monitoring ◽  
Self Care ◽  
Blood Glucose Monitoring ◽  
Positive And Negative Affect

Healthcare Utilization, Costs, and Adverse Events of Real-Time Continuous Glucose Monitoring (rtCGM) versus Traditional Blood Glucose Monitoring (BG) among US Adults with Type 1 Diabetes

2021 ◽  
pp. 193229682110315
Author(s):  
Benjamin Wong ◽  
Yalin Deng ◽  
Karen L. Rascati
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Adverse Events ◽  
Real Time ◽  
Healthcare Utilization ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Medical Costs ◽  
Blood Glucose Monitoring

Objective: To compare healthcare utilization, costs, and incidence of diabetes-specific adverse events (ie, hyperglycemia, diabetic ketoacidosis, and hypoglycemia) in type 1 diabetes adult patients using real-time continuous glucose monitoring (rtCGM) versus traditional blood glucose monitoring (BG). Methods: Adult patients (≥18 years old) with type 1 diabetes in a large national administrative claims database between 2013 and 2015 were identified. rtCGM patients with 6-month continuous health plan enrollment and ≥1 pharmacy claim for insulin during pre-index and post-index periods were propensity-score matched with BG patients. Healthcare utilization associated with diabetic adverse events were examined. A difference-in-difference (DID) method was used to compare the change in costs between rtCGM and BG cohorts. Results: Six-month medical costs for rtCGM patients ( N = 153) increased from pre- to post-index period, while they decreased for matched BG patients ( N = 153). DID analysis indicated a $2,807 ( P = .062) higher post-index difference in total medical costs for rtCGM patients. Pharmacy costs for both cohorts increased. DID analysis indicated a $1,775 ( P < .001) higher post-index difference in pharmacy costs for rtCGM patients. The incidence of hyperglycemia for both cohorts increased minimally from pre- to post-index period. The incidence of hypoglycemia for rtCGM patients decreased, while it increased marginally for BG patients. Inpatient hospitalizations for rtCGM and BG patients increased and decreased marginally, respectively. Conclusions: rtCGM users had non-significantly higher pre-post differences in medical costs but significantly higher pre-post differences in pharmacy costs (mostly due to the rtCGM costs themselves) compared to BG users. Changes in adverse events were minimal.

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