Pediatric Diabetes Management: A Family ApproachPediatric Diabetes Management: A Family ApproachPediatric Diabetes Management: A Family Approach

PsycCRITIQUES ◽  
2006 ◽  
Vol 515151 (131313) ◽  
Author(s):  
Lisa Fitzgibbons
2010 ◽  
Vol 90 (1) ◽  
pp. 40-44 ◽  
Author(s):  
Kupper A. Wintergerst ◽  
Krystal M. Hinkle ◽  
Christopher N. Barnes ◽  
Adetokunbo O. Omoruyi ◽  
Michael B. Foster

2003 ◽  
Vol 4 (3) ◽  
pp. 137-142 ◽  
Author(s):  
G. M. Summersett ◽  
G. E. Richards ◽  
S. M. Melzer ◽  
J. R. Sugarman ◽  
G. B. Kletter

2017 ◽  
Vol 43 (2) ◽  
pp. 143-151 ◽  
Author(s):  
Jason Van Allen ◽  
Amy E Noser ◽  
Andrew K Littlefield ◽  
Paige L Seegan ◽  
Mark Clements ◽  
...  

2016 ◽  
Vol 18 (4) ◽  
pp. 315-319 ◽  
Author(s):  
Sara E Watson ◽  
Evan A Kuhl ◽  
Michael B Foster ◽  
Adetokunbo O Omoruyi ◽  
Suzanne E Kingery ◽  
...  

2019 ◽  
pp. 193229681988205
Author(s):  
Catherina Pinnaro ◽  
Gary E. Christensen ◽  
Vanessa Curtis

Background: Simulation is being increasingly integrated into medical education. Diabetes simulation is well-received by trainees and has demonstrated improved clinical results, including reduced adult inpatient hyperglycemia. However, no pediatric-specific diabetes simulation programs exist for use in medical education. None of the existing diabetes models incorporate ketones as an input or an output, which is essential for use in teaching pediatric diabetes management. Methods: We created a pediatric diabetes simulation incorporating both blood sugar and urine ketones as output. Ketone output is implemented as a state variable but is obfuscated to simulate hospital experience. Blood sugar output is similar to other models and incorporates the current blood sugar, insulin on board (IOB) and carbohydrates on board (COB), and insulin and carbohydrate sensitivities. The program calculates all IOB and COB every 15 minutes based on user input and provides written summary feedback at the end of the simulation about inaccurate dosing and timing. Results: The simulation realistically incorporated both blood glucose and urine ketones in clinically valid and actionable formats. After completing this simulation, 16/17 pediatric residents indicated that they wanted more simulated diabetes cases integrated into their curriculum. Conclusion: Implementing simulation into pediatric diabetes education was feasible and well-received. More work is needed to further study the role of simulation in pediatric diabetes education when used adjunctively or in lieu of lectures when time or resources are limited.


2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Dhruvi Hasnani ◽  
◽  
Vipul Chavda ◽  
Shriji Hasnani ◽  
Vaishali Maheriya ◽  
...  

The outbreak of COVID-19 had created a significant impact on the medical community and has resulted in novel challenges to all the physicians. It is estimated by the International Diabetes Federation (IDF) that in 2019 there were 95,600 cases of type 1 diabetes (0 and 14 years of age) in India. Type 1 diabetes was identified to be an independent risk factor associated with in-hospital death in COVID-19. During the pandemic, due to fear of visiting the hospitals, there was an underrepresentation of new cases and due to delay in the diagnosis, there was a spike in the number of cases of diabetic ketoacidosis. The objective of the current review is to summarize the role of telemedicine in the management of pediatric diabetes. Various organizations such as the Research Society of Study of Diabetes in India (RSSDI), CDiC, and IFAC came forward to support the pediatric diabetes community through the supply of insulin, glucose strips and syringes. The efficiency of telehealth visits was enhanced by using diabetes technologies like insulin pumps, CGMs, and bluetooth glucose meters. As children got ample time to spend with their parents and perform the in-home physical activity, they had good glycemic control during the pandemic period in some cases.


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