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Abstract: Impact of the COVID-19 Pandemic on Disengagement from Advanced Diabetes Technologies Among Racial/Ethnic Groups in the US T1D Exchange Quality Improvement Collaborative
S. Carrothers1, B. Lockee1, D. Williams1, E. DeWit1, R. McDonough1, N. Noor2, T. Alonso3, H. Akturk4, D.J. DeSalvo5, M. Kamboj6, L. Jacobsen7, M.L Scott8, A. Mungmode2, O. Ebekozien2, M. Clements1...
Abstract: Disengagement from advanced diabetes technologies during the COVID-19 pandemic associates with worse short-term outcomes in the US T1D exchange quality improvement collaborative
C. Vandervelden1, M. Barnes1, E. DeWit1, D. Williams1, R. McDonough1, N. Noor2, R. Izquierdo3, M. Greenfield4, C. Demeterco Berggren5, A. Roberts6, H. Hardison2, O. Ebekozien2, M. Clements1 11 Children'...
Abstract: Precision geocoding in a multifunctional diabetes data integration system to support predictive modeling and population health analytics
M. Barnes1, M. Clements1,2 1Children's Mercy Kansas City, Pediatrics, Kansas City, United States, 2University of Missouri-Kansas City School of Medicine, Pediatrics, Kansas City, United States...
Abstract: A machine learning model accurately predicts an overrepresentation of African American (AA) youth with type 1 diabetes (T1D) among hospital admissions for diabetes ketoacidosis (DKA
S. Carrothers1, C. Vandervelden1, B. Lockee1, S. Patton2, R. McDonough1,3, E. DeWit1, M. Clements1,3 1Children's Mercy Hospital, Kansas City, United States, 2Nemours Children's Health, Jacksonville...
Abstract: Towards a Diabetes Rapid Learning Lab: Creation of a “D-Data Dock” to Integrate Diverse Data Sources and Facilitate Rapid Insights from the Deployment of Novel Interventions
B. Lockee1, C. Vandervelden1, M. Barnes1, S. Patton2, R. McDonough1, M. Clements1 1Children's Mercy Kansas City, Endocrinology, Kansas City, United States, 2Nemours Children's Health, Center for...
Abstract: Found in Translation: Transforming Rules-Based Diabetes Phenotyping Algorithms into Reproducible Diabetes Cohorts from Real-World Data
Erin M. Tallon, MS, RN1, Mark A. Clements, MD, PhD,2 Chi-Ren Shyu, PhD, FAMIA1 1University of Missouri, Institute for Data Science and Informatics, Columbia, MO; 2Children’s Mercy Hospital, Kansas City, MO...
Abstract: Utilization of a CGM-based Dashboard to Identify At-Risk Patients with Type 1 Diabetes (T1D)
Katie Noland1; Britaney Spartz1; Emily DeWit1, Mark Clements1; Rachel Dixon1; Jaimie Contreras1; Gayla Kutzli1; Andie Kaminsky1; Katelyn Evans1; Jude El Buri1 1Children's Mercy Kansas City Kansas City...
Abstract: Addressing Social Determinants of Health in an Ambulatory Pediatric Diabetes Clinic; Examining Data by Race and Ethnicity
Emily DeWit, Brent Lockee, Mitchell Barnes, Katelyn Evans, Mark Clements, Kelsee Halpin, Shilpi Relan Children's Mercy Kansas City Kansas City, Missouri, USA eldewit@cmh.edu Background/Objective: The...
Abstract: Towards Risk-based Management of Type 1 Diabetes (T1D): Developing a Population Health Dashboard Based on Performing Diabetes Self-Management Habits
Craig Vandervelden; Brent Lockee; Susana R. Patton; Ryan McDonough; Joyce M Lee; Mark Clements Children's Mercy Hospitals Kansas City, Missouri, USA cavandervedlen@cmh.edu Background/Objectives: Recent...
Abstract: Creation of a Diabetes Data Dock to Integrate, Improve, and Analyze Diverse Data Sources and Facilitate Continuous Learning and Improvement
Brent Lockee; Mitchell Barnes; Craig Vandervelden; Emily DeWit; Mark C. Clements Children's Mercy Kansas City Kansas City, Missouri, USAbclockee@cmh.edu Background/Objective: Many diabetes centers...
Abstract: Utilization of a CGM-Based Dashboard to Prioritize Distinct Cohorts of Youth with Type 1 Diabetes
B. Spartz1, K. Noland2, E. Dewit3, B. Lockee2, M. Clements3 1Children’s Mercy Hospital, Endocrinology, Kansas City, United States of America, 2Children’s Mercy Hospital, Endocrinology, KANSAS CITY, United...
Abstract: Predicting 90-Day Change in HBA1C with an “Explainable AI” Machine Learning Model Deployed in Clinic
C. Vandervelden1, B. Lockee1, M. Barnes1, E. Tallon2, D. Williams3, K. Noland1, R. Mcdonough1, S. Patton4, E. Dewit1, M. Clements1 1Children’s Mercy Hospital, Endocrinology, Kansas City, United States of...
Abstract: Examining the Glycemia Risk Index (GRI) as a Risk Biomarker for Elevated hemoglobin A1c in Individuals with Type 1 Diabetes (T1D)
B. Lockee1, J. Litwin1, C. Vandervelden1, D. Williams2, M. Barnes1, R. Mcdonough3, S. Patton4, K. Noland1, M. Clements5 1Children’s Mercy Hospital, Endocrinology, Kansas City, United States of America...
Abstract: Examining the Glycemia Risk Index and Its Association with Continuous Glucose Monitor (CGM)-Derived Glycemic Risk Categories in Patients with Type 1 Diabetes
J. Litwin1, B. Lockee1, C. Vandervelden1, M. Barnes1, R. Mcdonough2, S. Patton3, D. Williams4, K. Noland1,M. Clements5 1Children’s Mercy Hospital, Endocrinology, Kansas City, United States of America...
Abstract: Outcomes of Health-Related Social Needs Screening in a Midwest Pediatric Diabetes Clinic Network
Kelsee Halpin; Shilpi Relan; Jasmine Roghair; Rhiannon Pomerantz; Katelyn Evans; Mitchell S. Barnes; Heather Feingold; Samanta N. Jacob; Courtney Winterer; Jeffrey D. Colvin; Mark A. Clements; Emily L.
Abstract: Use of a Relational Agent Smart Phone App Aims to Improve Time in Range (TIR) for Youth with Type 1 Diabetes (T1D)
Sophie MacColl, Britaney Spartz, Emily L. DeWit, Brent Lockee, David D. Williams, Mitchell S. Barnes, Mark A. Clements Background: Youth with T1D struggle to achieve blood glucose (BG) TIR targets.
Abstract: Remedy to Diabetes Distress (R2D2)—Identify the Relationship between HbA1c, Socioeconomic Status (SES), and Diabetes Distress (DD)
Rhiannon Pomerantz, David D. Williams, Hung-Wen Yeh, Mark A. Clements, Susana R. Patton Objective: DD among school-age children with Type 1 Diabetes (T1D) and their parents is associated with suboptimal...
Abstract: Shorter follow-up between diagnosis of type 1 diabetes (T1D) to next encounter associates with improved glycemic outcomes
R. McDonough1,2, S. Tsai1,2, M. Barnes1, C. Vandervelde1, P. Prahalad3, D. Maahs3, S. Patton4, M. Clements1,2 1Children’s Mercy - Kansas City, Kansas City, United States, 2University of Missouri - Kansas...
Abstract: Time from Type 1 Diabetes (T1D) Diagnosis to Clinic-Connected CGM Data is Improving
R. McDonough1,2, S. Tsai1,2, M. Barnes1, C. Vandervelde1, D. Zaharieva3, A. Addala3, S. Patton4, M. Clements1,2 1Children’s Mercy - Kansas City, Kansas City, United States, 2University of Missouri - Kansas...
Abstract: Associations Between the Child Opportunity Index 2.0 (COI) and Hemoglobin A1c (A1c) During the First Year Following a Diagnosis with Type 1 Diabetes (T1D)
B. Lockee1, E. Tallon1, C. Vandervelden1, K. Panfil1, M. Barnes1, D. Williams2, R. McDonough1, C. Schweisberger1, D. Maahs3, P. Prahalad3, D. Scheinker3, M. Clements1 1Children’s Mercy Kansas City...