scholarly journals COST OF INPATIENT PEDIATRIC TYPE 1 DIABETES CARE IN TURKEY:SINGLE CENTER EXPERIENCE

2020 ◽  
Author(s):  
Eren CAM ◽  
Mehmet Nurullah KURUTKAN ◽  
İlknur ARSLANOĞLU ◽  
Okan BÜTÜNER
Keyword(s):  
Type 1 Diabetes ◽  
Diabetes Care ◽  
Pediatric Type 1 Diabetes

68-OR: Artificial Intelligence and Disparities in Pediatric Type 1 Diabetes Care: Predictive Model Performance Varies by Age and Sex

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 68-OR
Author(s):  
DIANA FERRO ◽  
DAVID D. WILLIAMS ◽  
SUSANA R. PATTON ◽  
RYAN MCDONOUGH ◽  
MARK A. CLEMENTS
Keyword(s):  
Artificial Intelligence ◽  
Type 1 Diabetes ◽  
Predictive Model ◽  
Diabetes Care ◽  
Model Performance ◽  
Pediatric Type 1 Diabetes ◽  
Age And Sex

scholarly journals Diabetes care provider perceptions on family challenges of pediatric type 1 diabetes

2017 ◽  
Vol 129 ◽  
pp. 203-205 ◽  
Author(s):  
Maria J. Redondo ◽  
Chishinga S. Callender ◽  
Caroline Gonynor ◽  
Dora Cantu ◽  
Karen W. Cullen ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Care Provider ◽  
Diabetes Care ◽  
Provider Perceptions ◽  
Pediatric Type 1 Diabetes

A Decade of Disparities in Diabetes Technology Use and HbA1c in Pediatric Type 1 Diabetes: A Trans-Atlantic Comparison

2020 ◽  
Author(s):  
Ananta Addala ◽  
Marie Auzanneau ◽  
Kellee Miller ◽  
Werner Maier ◽  
Nicole Foster ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Technology Use ◽  
Hemoglobin A1c ◽  
Diabetes Technology ◽  
Design And Methods ◽  
Relationship Of ◽  
The Relationship ◽  
Pediatric Type 1 Diabetes

<b>Objective:</b> As diabetes technology use in youth increases worldwide, inequalities in access may exacerbate disparities in hemoglobin A1c (HbA1c). We hypothesized an increasing gap in diabetes technology use by socioeconomic status (SES) would be associated with increased HbA1c disparities. <p> </p> <p><b>Research Design and Methods: </b>Participants aged <18 years with diabetes duration ≥1 year in the Type 1 Diabetes Exchange (T1DX, US, n=16,457) and Diabetes Prospective Follow-up (DPV, Germany, n=39,836) registries were categorized into lowest (Q1) to highest (Q5) SES quintiles. Multiple regression analyses compared the relationship of SES quintiles with diabetes technology use and HbA1c from 2010-2012 and 2016-2018. </p> <p> </p> <p><b>Results: </b>HbA1c was higher in participants with lower SES (in 2010-2012 & 2016-2018, respectively: 8.0% & 7.8% in Q1 and 7.6% & 7.5% in Q5 for DPV; and 9.0% & 9.3% in Q1 and 7.8% & 8.0% in Q5 for T1DX). For DPV, the association between SES and HbA1c did not change between the two time periods, whereas for T1DX, disparities in HbA1c by SES increased significantly (p<0.001). After adjusting for technology use, results for DPV did not change whereas the increase in T1DX was no longer significant.</p> <p> </p> <p><b>Conclusions: </b>Although causal conclusions cannot be drawn, diabetes technology use is lowest and HbA1c is highest in those of the lowest SES quintile in the T1DX and this difference for HbA1c broadened in the last decade. Associations of SES with technology use and HbA1c were weaker in the DPV registry. </p>

Sign in / Sign up

Export Citation Format

Share Document