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Simonson GD, Criego AB, Battelino T, Carlson AL, Choudhary P, Franc S, Gershenoff D, Grunberger G, Hirsch IB, Isaacs D, Johnson ML, Kerr D, Kruger DF, Mathieu C, Martens TW, Nimri R, Oser SM, Peters AL, Weinstock RS, Wright EE, Wysham CH, Bergenstal RM. Expert Panel Recommendations for a Standardized Ambulatory Glucose Profile Report for Connected Insulin Pens. Diabetes Technol Ther 2024. [PMID: 38758213 DOI: 10.1089/dia.2024.0107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
Background: Connected insulin pens capture data on insulin dosing/timing and can integrate with continuous glucose monitoring (CGM) devices with essential insulin and glucose metrics combined into a single platform. Standardization of connected insulin pen reports is desirable to enhance clinical utility with a single report. Methods: An international expert panel was convened to develop a standardized connected insulin pen report incorporating insulin and glucose metrics into a single report containing clinically useful information. An extensive literature review and identification of examples of current connected insulin pen reports were performed serving as the basis for creation of a draft of a standardized connected insulin pen report. The expert panel participated in three virtual standardization meetings and online surveys. Results: The Ambulatory Glucose Profile (AGP) Report: Connected Insulin Pen brings all clinically relevant CGM-derived glucose and connected insulin pen metrics into a single simplified two-page report. The first page contains the time in ranges bar, summary of key insulin and glucose metrics, the AGP curve, and detailed basal (long-acting) insulin assessment. The second page contains the bolus (mealtime and correction) insulin assessment periods with information on meal timing, insulin-to-carbohydrate ratio, average bolus insulin dose, and number of days with bolus doses recorded. The report's second page contains daily glucose profiles with an overlay of the timing and amount of basal and bolus insulin administered. Conclusion: The AGP Report: Connected Insulin Pen is a standardized clinically useful report that should be considered by companies developing connected pen technology as part of their system reporting/output.
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Affiliation(s)
- Gregg D Simonson
- International Diabetes Center, HealthPartners Institute, Minneapolis, Minnesota, USA
| | - Amy B Criego
- International Diabetes Center, HealthPartners Institute, Minneapolis, Minnesota, USA
| | - Tadej Battelino
- University Medical Center Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Anders L Carlson
- International Diabetes Center, HealthPartners Institute, Minneapolis, Minnesota, USA
| | - Pratik Choudhary
- Diabetes Research Centre, University of Leicester, Leicester, United Kingdom
| | - Sylvia Franc
- Diabetes and Metabolic Diseases Department, Sud Francilien Hospital, Corbeil-Essonnes, France
| | | | - George Grunberger
- Grunberger Diabetes & Endocrinology, Bloomfield Hills, Michigan, USA
| | - Irl B Hirsch
- University of Washington School of Medicine, Seattle, Washington, USA
| | | | - Mary L Johnson
- International Diabetes Center, HealthPartners Institute, Minneapolis, Minnesota, USA
| | - David Kerr
- Center for Health Systems Research, Sutter Health, Santa Barbara, California, USA
| | - Davida F Kruger
- Division of Endocrinology, Diabetes, Bone and Mineral Disease, Henry Ford Health System, Detroit, Michigan, USA
| | - Chantal Mathieu
- Department of Endocrinology, UZ Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Thomas W Martens
- International Diabetes Center, HealthPartners Institute, Minneapolis, Minnesota, USA
| | - Revital Nimri
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medical and Health Sciences, Tel-Aviv University, Tel-Aviv, Israel
| | - Sean M Oser
- University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Anne L Peters
- USC Keck School of Medicine, Los Angeles, California, USA
| | | | - Eugene E Wright
- South Piedmont Area Health Education Center, Charlotte, North Carolina, USA
| | | | - Richard M Bergenstal
- International Diabetes Center, HealthPartners Institute, Minneapolis, Minnesota, USA
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2
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Novak D. A Serious Game (MyDiabetic) to Support Children's Education in Type 1 Diabetes Mellitus: Iterative Participatory Co-Design and Feasibility Study. JMIR Serious Games 2024; 12:e49478. [PMID: 38713496 PMCID: PMC11109855 DOI: 10.2196/49478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 08/24/2023] [Accepted: 02/13/2024] [Indexed: 05/08/2024] Open
Abstract
BACKGROUND Serious games, which are gaming applications used for purposes beyond entertainment to educate users on, and address, specific issues, may present a timely approach to promote healthy diabetes management behaviors among children with type 1 diabetes mellitus (T1DM). The lasting benefits associated with these serious games encompass improved patient education; enhanced glycemic control; the reinforcement of bonds within the community of people with diabetes; the facilitation of meaningful dialogues with caregivers, especially within the familial setting; and a significant reduction in the economic burdens associated with subsequent complications. OBJECTIVE This paper primarily aims to provide a detailed overview of the iterative design process and the associated evaluation methods used in the development of the educational game. Furthermore, this study aims to enhance motivation for sustained and extended engagement with the game over time. The MyDiabetic game design aims to educate children on various aspects, including the connections among food, insulin, and physical activity. Furthermore, it seeks to impart knowledge related to the operation of a glucometer and an insulin pen, as well as more advanced technologies such as administering glucagon, measuring ketoacidosis, and continuous glucose monitoring. METHODS The co-design methodology was applied, involving interviews, design workshops, and prototype feedback sessions. A combination of several approaches, such as tailoring, observational learning, social and family support, decision-making practice, and reward systems, was used to support children's compliance. Moreover, incorporating the literature, guidelines, and current practices into the design ensured that the game was aligned with established health care pathways and included relevant information and best practices for diabetes management. RESULTS The game was tested on 32 children in 3 iterations. Positive responses were received from children who tested the game as well as their parents. The game was also presented to 5 schoolmates of children with T1DM who appreciated a better understanding of the disease and the opportunity to support their friends more efficiently in T1DM compensation. The involvement of children and clinicians in participatory co-design contributed to to the game's high acceptance. With regard to the game's impact on education, 1 week of testing revealed an enhancement in educational outcomes. CONCLUSIONS The game is especially suitable for children newly diagnosed with T1DM because it acquaints them in a fun way with new terminology; for example, they can try to measure glycemia levels in an interactive way. The game also caters to children who still need to develop reading skills by including an audio guide. The guide ensures that children of all literacy levels can benefit from the game's educational content and interactive experiences. The game is available for download on Google Play and the Apple App Store.
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Affiliation(s)
- Daniel Novak
- Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
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3
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Wu V, Choleva L, Wilkes M. Optimizing Glycemic Outcomes for Children with Type 1 Diabetes. Endocrinol Metab Clin North Am 2024; 53:27-38. [PMID: 38272596 DOI: 10.1016/j.ecl.2023.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
Changes in physical growth, neurocognitive development, and pubertal maturation are some of the challenges to achieving blood glucose targets in children with type 1 diabetes mellitus. To optimize glycemic outcomes, a comprehensive approach is crucial to address psychosocial needs, expand the use of diabetes technology, and diminish health inequities.
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Affiliation(s)
- Vickie Wu
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, The Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Box #1616, Annenberg Building, 4th Floor, New York, NY 10029, USA
| | - Lauryn Choleva
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, The Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Box #1616, Annenberg Building, 4th Floor, New York, NY 10029, USA
| | - Meredith Wilkes
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, The Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Box #1616, Annenberg Building, 4th Floor, New York, NY 10029, USA.
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4
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Ebekozien O, Mungmode A, Hardison H, Rapaport R. Improving Outcomes for People with Type 1 Diabetes Through Collaboration: Summary of Type 1 Diabetes Exchange Quality Improvement Collaborative Studies. Endocrinol Metab Clin North Am 2024; 53:1-16. [PMID: 38272589 DOI: 10.1016/j.ecl.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
Type 1 diabetes (T1D) management has evolved over the last decade. Innovations and groundbreaking research have paved the way for improved outcomes for people with T1D. One of the major T1D focused research network that has supported real-world research studies in the United States is the T1D Exchange Quality Improvement Collaborative (T1DX-QI) Network.T1DX-QI is a large multicenter network of 55 T1D clinics that uses quality improvement, health equity framework, and population health principles to improve outcomes for people with T1D. This article summarizes insights from T1DX-QI clinical and population health improvement studies.
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Affiliation(s)
- Osagie Ebekozien
- T1D Exchange, Boston, MA, USA; University of Mississippi School of Population Health, Jackson, MS, USA.
| | | | | | - Robert Rapaport
- Department of Pediatrics at Icahn School of Medicine; Mount Sinai Kravis Children's Hospital, New York, NY, USA
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5
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Ebekozien O, Fantasia K, Farrokhi F, Sabharwal A, Kerr D. Technology and health inequities in diabetes care: How do we widen access to underserved populations and utilize technology to improve outcomes for all? Diabetes Obes Metab 2024; 26 Suppl 1:3-13. [PMID: 38291977 PMCID: PMC11040507 DOI: 10.1111/dom.15470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/04/2024] [Accepted: 01/12/2024] [Indexed: 02/01/2024]
Abstract
Digital health technologies are being utilized increasingly in the modern management of diabetes. These include tools such as continuous glucose monitoring systems, connected blood glucose monitoring devices, hybrid closed-loop systems, smart insulin pens, telehealth, and smartphone applications (apps). Although many of these technologies have a solid evidence base, from the perspective of a person living with diabetes, there remain multiple barriers preventing their optimal use, creating a digital divide. In this article, we describe many of the origins of these barriers and offer recommendations on widening access to digital health technologies for underserved populations living with diabetes to improve their health outcomes.
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Affiliation(s)
- Osagie Ebekozien
- T1D Exchange, Boston, Massachusetts, USA
- Department of Population Health, University of Mississippi, Jackson, Mississippi, USA
| | - Kathryn Fantasia
- Section of Endocrinology, Diabetes and Nutrition, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Farnoosh Farrokhi
- Alta Bates Summit Medical Centre, Sutter East Bay Medical Foundation, Oakland, California, USA
| | - Ashutosh Sabharwal
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas, USA
| | - David Kerr
- Centre for Health System Research, Sutter Health, Santa Barbara, California, USA
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6
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Ebekozien O. Roadmap to Achieving Continuous Glucose Monitoring Equity: Insights From the T1D Exchange Quality Improvement Collaborative. Diabetes Spectr 2023; 36:320-326. [PMID: 37982057 PMCID: PMC10654123 DOI: 10.2337/dsi23-0002] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
This article describes successful interventions from the T1D Exchange Quality Improvement Collaborative (T1DX-QI) to reduce inequities in access to and use of continuous glucose monitoring (CGM). The author proposes a roadmap with recommendations for different stakeholders to achieve CGM equity using insights from the T1DX-QI experience.
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Affiliation(s)
- Osagie Ebekozien
- T1D Exchange, Boston, MA, and the University of Mississippi School of Population Health, Jackson, MS
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7
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Prahalad P, Hardison H, Odugbesan O, Lyons S, Alwazeer M, Neyman A, Miyazaki B, Cossen K, Hsieh S, Eng D, Roberts A, Clements MA, Ebekozien O. Benchmarking Diabetes Technology Use Among 21 U.S. Pediatric Diabetes Centers. Clin Diabetes 2023; 42:27-33. [PMID: 38230344 PMCID: PMC10788667 DOI: 10.2337/cd23-0052] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
The American Diabetes Association's Standards of Care in Diabetes recommends the use of diabetes technology such as continuous glucose monitoring systems and insulin pumps for people living with type 1 diabetes. Unfortunately, there are multiple barriers to uptake of these devices, including local diabetes center practices. This study aimed to examine overall change and center-to-center variation in uptake of diabetes technology across 21 pediatric centers in the T1D Exchange Quality Improvement Collaborative. It found an overall increase in diabetes technology use for most centers from 2021 to 2022 with significant variation.
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Affiliation(s)
- Priya Prahalad
- Stanford Children’s Health, Lucile Packard Children’s Hospital, Stanford, CA
| | | | | | - Sarah Lyons
- Baylor College of Medicine/Texas Children’s Hospital, Houston, TX
| | | | - Anna Neyman
- UH Rainbow Babies & Children’s Hospital, Cleveland, OH
| | | | | | - Susan Hsieh
- Cook Children’s, Endocrinology, Fort Worth, TX
| | - Donna Eng
- Pediatric Endocrinology, Spectrum Health, Helen DeVos Children’s Hospital, Grand Rapids, MI
| | | | | | - Osagie Ebekozien
- T1D Exchange, Boston, MA
- University of Mississippi School of Population Health, Jackson, MS
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8
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Ebekozien O, Mungmode A, Sanchez J, Rompicherla S, Demeterco-Berggren C, Weinstock RS, Jacobsen LM, Davis G, McKee A, Akturk HK, Maahs DM, Kamboj MK. Longitudinal Trends in Glycemic Outcomes and Technology Use for Over 48,000 People with Type 1 Diabetes (2016-2022) from the T1D Exchange Quality Improvement Collaborative. Diabetes Technol Ther 2023; 25:765-773. [PMID: 37768677 DOI: 10.1089/dia.2023.0320] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/29/2023]
Abstract
Objective: Previous studies revealed that hemoglobin A1c (HbA1c) increased overall in the United States in the past decade. In addition, health inequities in type 1 diabetes (T1D) outcomes by race/ethnicity and insurance type persist. This study examines the trends in HbA1c from 2016 to 2022 stratified by race/ethnicity and insurance in a large multicenter national database. Research Design and Methods: We analyzed glycemic outcomes and diabetes device use trends for >48,000 people living with type 1 diabetes (PwT1D) from 3 adult and 12 pediatric centers in the T1D Exchange Quality Improvement Collaborative (T1DX-QI), comparing data from 2016 to 2017 with data from 2021 to 2022. Results: The mean HbA1c in 2021-2022 was lower at 8.4% compared with the mean HbA1c in 2016-2017 of 8.7% (0.3% improvement; P < 0.01). Over the same period, the percentage of PwT1D using a continuous glucose monitor (CGM), insulin pump, or hybrid closed-loop system increased (45%, 12%, and 33%, respectively). However, these improvements were not equitably demonstrated across racial/ethnic groups or insurance types. Racial/ethnic and insurance-based inequities persisted over all 7 years across all outcomes; comparing non-Hispanic White and non-Hispanic Black PwT1D, disparate gaps in HbA1c (1.2%-1.6%), CGM (30%), pump (25%-35%), and hybrid-closed loop system (up to 20%) are illuminated. Conclusion: Population-level data on outcomes, including HbA1c, can provide trends and insights into strategies to improve health for PwT1D. The T1DX-QI cohort showed a significant improvement in HbA1c from 2016 to 2022. Improvements in diabetes device use are also demonstrated. However, these increases were inconsistent across all racial/ethnic groups or insurance types, an important focus for future T1D population health improvement work.
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Affiliation(s)
- Osagie Ebekozien
- Office of Chief Medical Officer, T1D Exchange, Boston, Massachusetts, USA
- School of Population Health, University of Mississippi, Jackson, Mississippi, USA
| | - Ann Mungmode
- Office of Chief Medical Officer, T1D Exchange, Boston, Massachusetts, USA
| | - Janine Sanchez
- Department of Endocrinology, Miller School of Medicine, University of Miami, Maimi, Florida, USA
| | - Saketh Rompicherla
- Office of Chief Medical Officer, T1D Exchange, Boston, Massachusetts, USA
| | - Carla Demeterco-Berggren
- Department of Endocrinology, Rady Children's Hospital, San Diego, California, USA
- Department of Endocrinology, University of California, San Francisco, California, USA
| | - Ruth S Weinstock
- Department of Endocrinology, SUNY Upstate Medical University, Syracuse, New York, USA
| | - Laura M Jacobsen
- Department of Endocrinology, University of Florida, Gainsville, Florida, USA
| | | | - Alexis McKee
- Department of Endocrinology, Washington University at St Louis, St Louis, USA
| | - Halis K Akturk
- Department of Endocrinology, Barbara Davis Center, Aurora, Colorado, USA
| | - David M Maahs
- Department of Pediatric Endocrinology, Lucile Packard Children's Hospital at Stanford University, Palo Alto, California, USA
| | - Manmohan K Kamboj
- Department of Endocrinology, Nationwide Children's Hospital, Columbus, Ohio, USA
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9
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Odugbesan O, Wright T, Jones NHY, Dei-Tutu S, Gallagher MP, DeWit E, Izquierdo RE, Desimone M, Rioles N, Ebekozien O. Increasing Social Determinants of Health Screening Rates Among Six Endocrinology Centers Across the United States: Results From the T1D Exchange Quality Improvement Collaborative. Clin Diabetes 2023; 42:49-55. [PMID: 38230332 PMCID: PMC10788654 DOI: 10.2337/cd23-0060] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Social determinants of health (SDOH) are strongly associated with outcomes for people with type 1 diabetes. Six centers in the T1D Exchange Quality Improvement Collaborative applied quality improvement principles to design iterative Plan-Do-Study-Act cycles to develop and expand interventions to improve SDOH screening rates. The interventions tested include staff training, a social risk index, an electronic health record patient-facing portal, partnerships with community organizations, and referrals to community resources. All centers were successful in improving SDOH screening rates, with individual site improvements ranging from 41 to 70% and overall screening across the six centers increasing from a baseline of 1% to 70% in 27 months.
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Affiliation(s)
| | | | | | | | | | - Emily DeWit
- Children’s Mercy Research Institute Hospital, Kansas City, MO
| | | | | | | | - Osagie Ebekozien
- T1D Exchange, Boston, MA
- University of Mississippi School of Population Health, Jackson, MS
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10
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Odugbesan O, Mungmode A, Rioles N, Buckingham D, Nelson G, Agarwal S, Grant A, Wright T, Hess E, Ebekozien O. Increasing Continuous Glucose Monitoring Use for Non-Hispanic Black and Hispanic People With Type 1 Diabetes: Results From the T1D Exchange Quality Improvement Collaborative Equity Study. Clin Diabetes 2023; 42:40-48. [PMID: 38230339 PMCID: PMC10788664 DOI: 10.2337/cd23-0050] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Despite the benefits of continuous glucose monitoring (CGM), there is lower use of this technology among non-Hispanic Black and Hispanic people with type 1 diabetes compared with their non-Hispanic White counterparts. The T1D Exchange Quality Improvement Collaborative recruited five endocrinology centers to pilot an equity-focused quality improvement (QI) study to reduce racial inequities in CGM use. The centers used rapid QI cycles to test and expand interventions such as provider bias training, translation of CGM materials, provision of CGM education in multiple languages, screening for social determinants of health, and shared decision-making. After implementation of these interventions, median CGM use increased by 7% in non-Hispanic White, 12% in non-Hispanic Black, and 15% in Hispanic people with type 1 diabetes. The gap between non-Hispanic White and non-Hispanic Black patients decreased by 5%, and the gap between non-Hispanic White and Hispanic patients decreased by 8%.
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Affiliation(s)
| | | | | | | | - Grace Nelson
- Le Bonheur Children’s Hospital, University of Tennessee, Memphis, TN
| | - Shivani Agarwal
- Albert Einstein College of Medicine–Montefiore Medical Center, Bronx, NY
| | - Amy Grant
- Cincinnati Children Hospital Medical Center, Columbus, OH
| | | | - Emilie Hess
- SUNY Upstate Medical University, Syracuse, NY
| | - Osagie Ebekozien
- T1D Exchange, Boston, MA
- University of Mississippi Medical Center School of Population Health, Jackson, MS
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11
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Gandhi K, Ebekozien O, Noor N, McDonough RJ, Hsieh S, Miyazaki B, Dei-Tutu S, Golden L, Desimone M, Hardison H, Rompicherla S, Akturk HK, Kamboj MK. Insulin Pump Utilization in 2017-2021 for More Than 22,000 Children and Adults With Type 1 Diabetes: A Multicenter Observational Study. Clin Diabetes 2023; 42:56-64. [PMID: 38230341 PMCID: PMC10788665 DOI: 10.2337/cd23-0055] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
This large type 1 diabetes cohort study showed that insulin pump utilization has increased over time and that use differs by sex, insurance type, and race/ethnicity. Insulin pump use was associated with more optimal A1C, increased use of continuous glucose monitoring (CGM), and lower rates of diabetic ketoacidosis and severe hypoglycemia. People who used an insulin pump with CGM had lower rates of acute events than their counterparts who used an insulin pump without CGM. These findings highlight the need to improve access of diabetes technology through provider engagement, multidisciplinary approaches, and efforts to address health inequities.
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Affiliation(s)
| | - Osagie Ebekozien
- T1D Exchange, Boston, MA
- University of Mississippi School of Population Health, Jackson, MS
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12
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Tindall LN, Xavier NA. Innovations in Diabetes Device Training: A Scoping Review. Endocr Pract 2023; 29:803-810. [PMID: 37290557 PMCID: PMC10245230 DOI: 10.1016/j.eprac.2023.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/25/2023] [Accepted: 05/31/2023] [Indexed: 06/10/2023]
Abstract
OBJECTIVE The coronavirus disease 2019 pandemic highlighted a pre-existing need for alternatives to traditional in-person diabetes device trainings. Barriers to care, which include the heavy burden of training, pose a threat to optimal adoption and utilization of these devices. We searched the literature for alternative methods of training, evaluated user satisfaction, and compared short-term clinical outcomes with guideline-based glucometric targets and historical training results. METHODS A scoping review of Embase articles from 2019 to 2021 was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines using key words relevant to diabetes technologies. Original full-text articles investigating training of new users on devices were included. Titles and abstracts were screened for eligibility by 2 independent reviewers, and results were summarized. RESULTS Of 25 articles retrieved from the database, 11 met the criteria. Alternative training strategies included video conferencing, phone calls, mobile applications, and hybrids with traditional trainings. Overall, there was a high degree of user satisfaction with virtual visits, with a preference for hybrid approaches (6 articles). Although glucometrics varied between articles, short-term glucometrics were satisfactory overall (8 articles), including improved glycated hemoglobin measurements and time in range. Two articles compared time in range over various time points after traditional and remote training. One found equivalency, and the other identified a 5% improvement with remote training. CONCLUSION Alternative training approaches are a viable option to reduce the barriers to care and to alleviate training burden. Intentional implementation of alternatives should be considered a solution to address current barriers.
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Affiliation(s)
- Lacie N Tindall
- Department of Connected Care, Eli Lilly and Company, Indianapolis, Indiana
| | - Neena A Xavier
- Department of Connected Care, Eli Lilly and Company, Indianapolis, Indiana.
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13
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Zurynski Y, Carrigan A, Meulenbroeks I, Sarkies MN, Dammery G, Halim N, Lake R, Davis E, Jones TW, Braithwaite J. Transition models of care for type 1 diabetes: a systematic review. BMC Health Serv Res 2023; 23:779. [PMID: 37474959 PMCID: PMC10360292 DOI: 10.1186/s12913-023-09644-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 06/04/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND Managing the care regimen for Type 1 Diabetes is challenging for emerging adults, as they take on greater responsibility for self-management. A diverse range of models of care have been implemented to improve safety and quality of care during transition between paediatric and adult services. However, evidence about acceptability and effectiveness of these is limited. Our aim was to synthesise the evidence for transition models and their components, examine the health related and psychosocial outcomes, and to identify determinants associated with the implementation of person-centred models of transition care. METHOD We searched Medline, CINAHL, EMBASE and Scopus. Peer reviewed empirical studies that focused on T1D models of care published from 2010 to 2021 in English, reporting experimental, qualitative, mixed methods, and observational studies were included. RESULTS Fourteen studies reported on health and psychosocial outcomes, and engagement with healthcare. Three key models of care emerged: structured transition education programs (6 studies), multidisciplinary team transition support (5 studies) and telehealth/virtual care (3 studies). Compared with usual practice, three of the six structured transition education programs led to improvements in maintenance of glycaemic control, psychological well-being, and engagement with health services. Four MDT transition care models reported improved health outcomes, and improved engagement with health services, however, three studies reported no benefit. Reduced diabetes related stress and increased patient satisfaction were reported by two studies, but three reported no benefit. Telehealth and virtual group appointments improved adherence to self-management and reduced diabetes distress but did not change health outcomes. CONCLUSIONS Although some health and psychosocial benefits are reported, the results were mixed. No studies reported on T1D transition model implementation outcomes such as acceptability, adoption, and appropriateness among clinicians or managers implementing these models. This gap needs to be addressed to support future adoption of successful models.
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Affiliation(s)
- Yvonne Zurynski
- NHMRC Partnership Centre for Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, 75 Talavera Road, North Ryde, Sydney, Australia.
| | - Ann Carrigan
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, 75 Talavera Road, North Ryde, Sydney, Australia
| | - Isabelle Meulenbroeks
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Mitchell N Sarkies
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, 75 Talavera Road, North Ryde, Sydney, Australia
| | - Genevieve Dammery
- NHMRC Partnership Centre for Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Nicole Halim
- NHMRC Partnership Centre for Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Rebecca Lake
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, 75 Talavera Road, North Ryde, Sydney, Australia
| | - Elizabeth Davis
- Telethon Kids Institute, University of Western Australia, Perth, Australia
- Perth Children's Hospital, Perth, Australia
| | - Timothy W Jones
- Telethon Kids Institute, University of Western Australia, Perth, Australia
- Perth Children's Hospital, Perth, Australia
| | - Jeffrey Braithwaite
- NHMRC Partnership Centre for Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, 75 Talavera Road, North Ryde, Sydney, Australia
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14
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Abstract
Type 1 diabetes (T1D) is an increasingly common condition. Although often more effective, treatment regimens for patients with T1D have become more variable and complex with newer insulin analogues and increasing use of diabetes technology. Both surgery and anesthesia are known to trigger a stress response that causes dramatic metabolic changes in the patient that tend to increase glucose variability. Close monitoring of glucose levels and clear algorithms for insulin administration can ameliorate these characteristic responses. As T1D treatment technology becomes more effective at maintaining glucose in target range, there should be more consideration of using this technology during hospitalization and surgery.
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Affiliation(s)
- Grace B Nelson
- Pediatrics, University of Tennessee Health Science Center, 49 North Dunlap Street, Memphis, TN 38105, USA.
| | - Kathryn M Sumpter
- Pediatrics, University of Tennessee Health Science Center, 49 North Dunlap Street, Memphis, TN 38105, USA
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15
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Mathias P, Mahali LP, Agarwal S. Targeting Technology in Underserved Adults With Type 1 Diabetes: Effect of Diabetes Practice Transformations on Improving Equity in CGM Prescribing Behaviors. Diabetes Care 2022; 45:2231-2237. [PMID: 36054022 PMCID: PMC9649356 DOI: 10.2337/dc22-0555] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 07/10/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Continuous glucose monitoring (CGM) is associated with improved outcomes in type 1 diabetes, but racial-ethnic disparities exist in use. We were interested in examining whether addressing structural health care barriers would change provider prescribing behaviors to make CGM access more equitable. RESEARCH DESIGN AND METHODS From January 2019 to December 2021, we used multilevel stakeholder input to develop and implement several non-grant-funded practice transformations targeted toward equity, which included 1) developing a type 1 diabetes clinic, 2) conducting social needs assessments and management, 3) training support staff to place trial CGMs at the point of care, 4) optimizing prescription workflows, and 5) educating providers on CGM. Transformations were prioritized based on feasibility, acceptability, and sustainability. To examine effect on prescribing behaviors, we collected monthly aggregate data from the electronic medical record and performed multiple linear regression to examine and compare change in CGM prescriptions over the 3 years of transformation. RESULTS In total, we included 1,357 adults with type 1 diabetes in the analysis (mean ± SD age 38 ± 18 years; 30% Black [n = 406], 45% Hispanic [n = 612], 12% White [n = 164]; and 74% publicly insured [n = 1,004]). During the period of transformation, CGM prescription rates increased overall from 15% to 69% (P < 0.001). Improvements were seen equally among Black (12% to 72%), Hispanic (15% to 74%), and White adults (20% to 48%) (between-group P = 0.053). CONCLUSIONS Diabetes practice transformations that target equity, offload provider burdens, and focus on feasible sustainable stakeholder-driven solutions can have powerful effects on provider prescribing behaviors to reduce root causes of inequity in CGM among underserved adults with type 1 diabetes. Continued focus is needed on upstream determinants of downstream CGM use.
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Affiliation(s)
- Priyanka Mathias
- Fleischer Institute for Diabetes and Metabolism, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, NY
| | - Lakshmi Priyanka Mahali
- Fleischer Institute for Diabetes and Metabolism, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, NY
| | - Shivani Agarwal
- Fleischer Institute for Diabetes and Metabolism, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, NY
- NY Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, NY
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16
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Mungmode A, Noor N, Weinstock RS, Izquierdo R, Indyk JA, DeSalvo DJ, Corathers S, Demeterco-Berggen C, Hsieh S, Jacobsen LM, Mekhoubad A, Akturk HK, Wirsch A, Scott ML, Chao LC, Miyazaki B, Malik FS, Ebekozien O, Clements M, Alonso GT. Making Diabetes Electronic Medical Record Data Actionable: Promoting Benchmarking and Population Health Improvement Using the T1D Exchange Quality Improvement Portal. Clin Diabetes 2022; 41:45-55. [PMID: 36714251 PMCID: PMC9845086 DOI: 10.2337/cd22-0072] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
This article describes how the T1D Exchange Quality Improvement Collaborative leverages an innovative web platform, the QI Portal, to gather and store electronic medical record (EMR) data to promote benchmarking and population health improvement in a type 1 diabetes learning health system. The authors explain the value of the QI Portal, the process for mapping center-level data from EMRs using standardized data specifications, and the QI Portal's unique features for advancing population health.
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Affiliation(s)
| | | | | | | | - Justin A. Indyk
- Nationwide Children’s Hospital, The Ohio State University College of Medicine, Columbus, OH
| | | | - Sarah Corathers
- Cincinnati Children’s Hospital, University of Cincinnati College of Medicine, Cincinnati, OH
| | | | | | | | | | - Halis Kaan Akturk
- Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora, CO
| | | | | | - Lily C. Chao
- Children’s Hospital Los Angeles, Los Angeles, CA
| | | | - Faisal S. Malik
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA
| | - Osagie Ebekozien
- T1D Exchange, Boston, MA
- University of Mississippi School of Population Health, Jackson, MS
| | - Mark Clements
- Children's Mercy – Kansas City, University of Missouri, Kansas City, MO
| | - G. Todd Alonso
- Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora, CO
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17
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Odugbesan O, Addala A, Nelson G, Hopkins R, Cossen K, Schmitt J, Indyk J, Jones NHY, Agarwal S, Rompicherla S, Ebekozien O. Implicit Racial-Ethnic and Insurance-Mediated Bias to Recommending Diabetes Technology: Insights from T1D Exchange Multicenter Pediatric and Adult Diabetes Provider Cohort. Diabetes Technol Ther 2022; 24:619-627. [PMID: 35604789 PMCID: PMC9422789 DOI: 10.1089/dia.2022.0042] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background: Despite documented benefits of diabetes technology in managing type 1 diabetes, inequities persist in the use of these devices. Provider bias may be a driver of inequities, but the evidence is limited. Therefore, we aimed to examine the role of race/ethnicity and insurance-mediated provider implicit bias in recommending diabetes technology. Method: We recruited 109 adult and pediatric diabetes providers across 7 U.S. endocrinology centers to complete an implicit bias assessment composed of a clinical vignette and ranking exercise. Providers were randomized to receive clinical vignettes with differing insurance and patient names as proxy for Racial-Ethnic identity. Bias was identified if providers: (1) recommended more technology for patients with an English name (Racial-Ethnic bias) or private insurance (insurance bias), or (2) Race/Ethnicity or insurance was ranked high (Racial-Ethnic and insurance bias, respectively) in recommending diabetes technology. Provider characteristics were analyzed using descriptive statistics and multivariate logistic regression. Result: Insurance-mediated implicit bias was common in our cohort (n = 66, 61%). Providers who were identified to have insurance-mediated bias had greater years in practice (5.3 ± 5.3 years vs. 9.3 ± 9 years, P = 0.006). Racial-Ethnic-mediated implicit bias was also observed in our study (n = 37, 34%). Compared with those without Racial-Ethnic bias, providers with Racial-Ethnic bias were more likely to state that they could recognize their own implicit bias (89% vs. 61%, P = 0.001). Conclusion: Provider implicit bias to recommend diabetes technology was observed based on insurance and Race/Ethnicity in our pediatric and adult diabetes provider cohort. These data raise the need to address provider implicit bias in diabetes care.
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Affiliation(s)
- Ori Odugbesan
- T1D Exchange, QI & Population Health Department, Boston, Massachusetts, USA
| | - Ananta Addala
- Stanford University, Division of Pediatric Endocrinology & Diabetes, Lucile Packard Children's Hospital, Stanford, California, USA
| | - Grace Nelson
- Le Bonheur Children's Hospital, Pediatric Endocrinology, Memphis, Tennessee, USA
| | - Rachel Hopkins
- SUNY Upstate Medical Center, Division of Endocrinology and Metabolism, Syracuse, New York, USA
| | - Kristina Cossen
- Children's Healthcare of Atlanta, Division of Pediatric Endocrinology, Atlanta, Georgia, USA
| | - Jessica Schmitt
- The University of Alabama Pediatric Endocrinology and Diabetes at Birmingham Hospital, Birmingham, Alabama, USA
| | - Justin Indyk
- Nationwide Children Hospital, Division of Endocrinology, Columbus, Ohio, USA
| | | | - Shivani Agarwal
- Yeshiva University Albert Einstein College of Medicine, Division of Endocrinology, Bronx, New York, USA
| | - Saketh Rompicherla
- T1D Exchange, QI & Population Health Department, Boston, Massachusetts, USA
| | - Osagie Ebekozien
- T1D Exchange, QI & Population Health Department, Boston, Massachusetts, USA
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18
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Lanzinger S, Zimmermann A, Ranjan AG, Gani O, Pons Perez S, Akesson K, Majidi S, Witsch M, Hofer S, Johnson S, Pilgaard KA, Kummernes SJ, Robinson H, Eeg-Olofsson K, Ebekozien O, Holl RW, Svensson J, Skrivarhaug T, Warner J, Craig ME, Maahs D. A collaborative comparison of international pediatric diabetes registries. Pediatr Diabetes 2022; 23:627-640. [PMID: 35561091 DOI: 10.1111/pedi.13362] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 03/24/2022] [Accepted: 05/04/2022] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND An estimated 1.1 million children and adolescents aged under 20 years have type 1 diabetes worldwide. Principal investigators from seven well-established longitudinal pediatric diabetes registries and the SWEET initiative have come together to provide an international collaborative perspective and comparison of the registries. WORK FLOW Information and data including registry characteristics, pediatric participant clinical characteristics, data availability and data completeness from the Australasian Diabetes Data Network (ADDN), Danish Registry of Childhood and Adolescent Diabetes (DanDiabKids), Diabetes prospective follow-up registry (DPV), Norwegian Childhood Diabetes Registry (NCDR), National Paediatric Diabetes Audit (NPDA), Swedish Childhood Diabetes Registry (Swediabkids), T1D Exchange Quality Improvement Collaborative (T1DX-QI), and the SWEET initiative was extracted up until 31 December 2020. REGISTRY OBJECTIVES AND OUTCOMES The seven diabetes registries and the SWEET initiative collectively show data of more than 900 centers and around 100,000 pediatric patients, the majority with type 1 diabetes. All share the common objectives of monitoring treatment and longitudinal outcomes, promoting quality improvement and equality in diabetes care and enabling clinical research. All generate regular benchmark reports. Main differences were observed in the definition of the pediatric population, the inclusion of adults, documentation of CGM metrics and collection of raw data files as well as linkage to other data sources. The open benchmarking and access to regularly updated data may prove to be the most important contribution from registries. This study describes aspects of the registries to enable future collaborations and to encourage the development of new registries where they do not exist.
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Affiliation(s)
- Stefanie Lanzinger
- Institute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Germany.,German Centre for Diabetes Research (DZD), München-Neuherberg, Germany
| | | | - Ajenthen G Ranjan
- Steno Diabetes Center Copenhagen, Gentofte, Denmark.,Danish Diabetes Academy, Odense, Denmark
| | - Osman Gani
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | | | - Karin Akesson
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.,Department of Pediatrics, Ryhov County Hospital, Jönköping, Sweden
| | - Shideh Majidi
- University of Colorado, Barbara Davis Center, Aurora, Colorado, USA
| | - Michael Witsch
- Department of Pediatrics DECCP, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | - Sabine Hofer
- Department of Pediatrics I, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Kasper A Pilgaard
- Department of Pediatrics and Adolescents, Copenhagen University Hospital, Herlev and Gentofte, Herlev, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Siv Janne Kummernes
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Holly Robinson
- Royal College of Paediatrics and Child Health, London, UK
| | - Katarina Eeg-Olofsson
- Swedish National Diabetes Register, Centre of Registers, Gothenburg, Sweden.,Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Osagie Ebekozien
- T1D Exchange, Boston, Massachusetts, USA.,University of Mississippi School of Population Health, Jackson, Mississippi, USA
| | - Reinhard W Holl
- Institute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Germany.,German Centre for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Jannet Svensson
- Department of Pediatrics and Adolescents, Copenhagen University Hospital, Herlev and Gentofte, Herlev, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torild Skrivarhaug
- Division of Pediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | | | - Maria E Craig
- Charles Perkins Centre Westmead, University of Sydney, Australia.,The Children's Hospital at Westmead, Westmead, New South Wales, Australia.,University of NSW, Sydney, New South Wales, Australia
| | - David Maahs
- Division of Endocrinology, Department of Pediatrics, Stanford University, School of Medicine, Stanford, California, USA.,Stanford Diabetes Research Center, Stanford, California, USA
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19
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Tanenbaum ML, Commissariat PV. Barriers and Facilitators to Diabetes Device Adoption for People with Type 1 Diabetes. Curr Diab Rep 2022; 22:291-299. [PMID: 35522355 PMCID: PMC9189072 DOI: 10.1007/s11892-022-01469-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/14/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE OF REVIEW Diabetes technology (insulin pumps, continuous glucose monitoring, automated insulin delivery systems) has advanced significantly and provides benefits to the user. This article reviews the current barriers to diabetes device adoption and sustained use, and outlines the known and potential facilitators for increasing and sustaining device adoption. RECENT FINDINGS Barriers to diabetes device adoption continue to exist at the system-, provider-, and individual-level. Known facilitators to promote sustained adoption include consistent insurance coverage, support for providers and clinics, structured education and support for technology users, and device user access to support as needed (e.g., through online resources). Systemic barriers to diabetes device adoption persist while growing evidence demonstrates the increasing benefits of newest devices and systems. There are ongoing efforts to develop evidence-based structured education programs to support device adoption and sustained use.
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Affiliation(s)
- Molly L Tanenbaum
- Department of Pediatrics, Division of Endocrinology and Diabetes, Stanford University School of Medicine, Stanford, CA, USA.
| | - Persis V Commissariat
- Pediatric, Adolescent and Young Adult Section, Joslin Diabetes Center, Boston, MA, USA
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20
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Prahalad P, Rioles N, Noor N, Rapaport R, Weinstock RS, Ebekozien O. T1D exchange quality improvement collaborative: Accelerating change through benchmarking and improvement science for people with type 1 diabetes. J Diabetes 2022; 14:83-87. [PMID: 34854232 PMCID: PMC9060055 DOI: 10.1111/1753-0407.13234] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 10/29/2021] [Indexed: 12/17/2022] Open
Affiliation(s)
- Priya Prahalad
- Pediatric EndocrinologyStanford UniversityStanfordCaliforniaUSA
| | | | | | - Robert Rapaport
- Mount Sinai Kravis Childrenʼs Hospital, Icahn School of MedicineNew YorkNew YorkUSA
| | | | - Osagie Ebekozien
- T1D ExchangeBostonMassachusettsUSA
- Division of Population HealthUniversity of Mississippi School of Population HealthJacksonMississippiUSA
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21
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Ebekozien O, Mungmode A, Odugbesan O, Majidi S, Prahalad P, Noor N, Rioles N, Agarwal S, Weinstock RS, Rapaport R, Kamboj M. Addressing type 1 diabetes health inequities in the United States: Approaches from the T1D Exchange QI Collaborative. J Diabetes 2022; 14:79-82. [PMID: 34874109 PMCID: PMC9060069 DOI: 10.1111/1753-0407.13235] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 10/29/2021] [Indexed: 01/05/2023] Open
Affiliation(s)
- Osagie Ebekozien
- T1D ExchangeBostonMassachusettsUSA
- University of Mississippi School of Population HealthJacksonMississippiUSA
| | | | | | | | | | | | | | | | | | - Robert Rapaport
- Mount Sinai Kravis Children's HospitalIcahn School of MedicineNew YorkNew YorkUSA
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22
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Marks BE, Mungmode A, Neyman A, Levin L, Rioles N, Eng D, Lee JM, Basina M, Hawah-Jones N, Mann E, O’Malley G, Wilkes M, Steenkamp D, Aleppo G, Accacha S, Ebekozien O. Baseline Quality Improvement Capacity of 33 Endocrinology Centers Participating in the T1D Exchange Quality Improvement Collaborative. Clin Diabetes 2022; 41:35-44. [PMID: 36714248 PMCID: PMC9845085 DOI: 10.2337/cd22-0071] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
This article describes the evolution of the Type 1 Diabetes Exchange Quality Improvement Collaborative (T1DX-QI) and provides insight into the development and growth of a successful type 1 diabetes quality improvement (QI) program. Since its inception 8 years ago, the collaborative has expanded to include centers across the United States with varying levels of QI experience, while simultaneously achieving many tangible improvements in type 1 diabetes care. These successes underscore the importance of learning health systems, data-sharing, benchmarking, and peer collaboration as drivers for continuous QI. Future efforts will include recruiting additional small- to medium-sized centers focused on adult care and underserved communities to further the goal of improving care and outcomes for all people living with type 1 diabetes.
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Affiliation(s)
- Brynn E. Marks
- Children’s National Hospital, Washington, DC
- Children’s Hospital of Philadelphia, Philadelphia, PA
- Corresponding author: Brynn E. Marks,
| | | | - Anna Neyman
- Riley Children’s Hospital, Indiana University School of Medicine, Indianapolis, IN
| | - Laura Levin
- Ann and Robert H. Lurie Children Hospital, Chicago, IL
| | | | - Donna Eng
- Helen DeVos Children’s Hospital, Grand Rapids, MI
| | - Joyce M. Lee
- C.S. Mott Children’s Hospital, University of Michigan, Ann Arbor, MI
| | | | | | - Elizabeth Mann
- UW Health Kids, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | | | | | | | | | | | - Osagie Ebekozien
- T1D Exchange, Boston, MA
- University of Mississippi School of Population Health, Jackson, MS
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23
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Akturk HK, Rompicherla S, Rioles N, Desimone M, Weinstock RS, Haw SJ, Ziemer DC, Dickinson JK, Agarwal S, Ebekozien O, Polsky S. Factors Associated With Improved A1C Among Adults With Type 1 Diabetes in the United States. Clin Diabetes 2022; 41:76-80. [PMID: 36714244 PMCID: PMC9845074 DOI: 10.2337/cd22-0067] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Many adults with diabetes do not reach optimal glycemic targets, and, despite advances in diabetes management, diabetes technology use remains significantly lower in racial/ethnic minority groups. This study aimed to identify factors associated with achieving the recommended A1C target of <7% using data on 12,035 adults with type 1 diabetes from 15 centers participating in the T1D Exchange Quality Improvement Collaborative. Individuals attaining the target A1C were more likely to be older, White, have private health insurance, and use diabetes technology and less likely to report depressive symptoms or episodes of severe hypoglycemia or diabetic ketoacidosis than those with higher A1C levels. These findings highlight the importance of overcoming inequities in diabetes care.
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Affiliation(s)
- Halis K. Akturk
- Barbara Davis Center, Denver, CO
- Corresponding author: Halis K. Akturk,
| | | | | | | | | | | | | | | | - Shivani Agarwal
- Albert Einstein College of Medicine–Montefiore Medical Center, Bronx, NY
| | - Osagie Ebekozien
- T1D Exchange, Boston, MA
- University of Mississippi School of Population Health, Jackson, MI
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24
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Ospelt E, Noor N, Sanchez J, Nelson G, Rioles N, Malik FS, Basina M, Indyk J, Vendrame F, Schmitt J, Scott ML, Ebekozien O. Facilitators and Barriers to Smart Insulin Pen Use: A Mixed-Method Study of Multidisciplinary Stakeholders From Diabetes Teams in the United States. Clin Diabetes 2022; 41:56-67. [PMID: 36714258 PMCID: PMC9845084 DOI: 10.2337/cd22-0068] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
This study sought to identify barriers and facilitators to successful smart insulin pen (SIP) use and gauge prescribing practices and integration into clinical practice by assessing provider and care team perspectives at participating endocrinology clinics within the T1D Exchange Quality Improvement Collaborative. The identified provider-related, patient-related, and clinic- and operational-level barriers and facilitators varied based on clinic knowledge, capacity, and resources. High-impact barriers included insurance coverage and prescribing processes; high-impact facilitators included improved diabetes clinic visit quality and use of SIPs as an alternative to insulin pump therapy. Findings indicated the need for provider and care team education and training on proper SIP features, use, and prescribing.
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Affiliation(s)
- Emma Ospelt
- T1D Exchange, Boston, MA
- Corresponding author: Emma Ospelt,
| | | | - Janine Sanchez
- University of Miami Miller School of Medicine, Miami, FL
| | | | | | | | | | | | | | | | | | - Osagie Ebekozien
- T1D Exchange, Boston, MA
- University of Mississippi School of Population Health, Jackson, MS
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25
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Lee JM, Rusnak A, Garrity A, Hirschfeld E, Thomas IH, Wichorek M, Lee JE, Rioles NA, Ebekozien O, Corathers SD. Feasibility of Electronic Health Record Assessment of 6 Pediatric Type 1 Diabetes Self-management Habits and Their Association With Glycemic Outcomes. JAMA Netw Open 2021; 4:e2131278. [PMID: 34709387 PMCID: PMC8554640 DOI: 10.1001/jamanetworkopen.2021.31278] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
IMPORTANCE A low-burden electronic health record (EHR) workflow has been devised to systematize the collection and validation of 6 key diabetes self-management habits: (1) checks glucose at least 4 times/day or uses continuous glucose monitor (CGM); (2) gives at least 3 rapid-acting insulin boluses per day; (3) uses insulin pump; (4) delivers boluses before meals; (5) reviewed glucose data since last clinic visit, and (6) has changed insulin doses since the last clinic visit. OBJECTIVE To describe the performance of these habits and examine their association with hemoglobin A1c (HbA1c) levels and time in range (TIR). DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study included individuals with known type 1 diabetes who were seen in a US pediatric diabetes clinic in 2019. MAIN OUTCOMES AND MEASURES Habit performance, total habit score (sum of 6 habits per person), HbA1c levels, and TIR. RESULTS Of 1344 patients, 1212 (609 [50.2%] males; 66 [5.4%] non-Hispanic Black; 1030 [85.0%] non-Hispanic White; mean [SD] age, 15.5 [4.5] years) were included, of whom 654 (54.0%) were using CGM and had a TIR. Only 105 patients (8.7%) performed all 6 habits. Habit performance was lower among older vs younger patients (age ≥18 years vs ≤12 years: 17 of 411 [4.1%] vs 57 of 330 [17.3%]; P < .001), Black vs White patients (3 [4.5%] vs 95 [9.2%]; P < .001), those with public vs private insurance (14 of 271 [5.2%] vs 91 of 941 [9.7%]; P < .001), and those with lower vs higher parental education levels (<college degree vs ≥college degree: 35 of 443 [7.9%] vs 66 of 574 [11.5%]; P < .001). After adjustment for demographic characteristics and disease duration, for every 1-unit increase in total habit score, we found a mean (SE) 0.6% (0.05) decrease in HbA1c among all participants and a mean (SE) 2.86% (0.71) increase in TIR among those who used CGMs. Multiple regression models revealed that performing each habit was associated with a significantly lower HbA1c level (habit 1: -0.16% [95% CI, -1.91% to -1.37%]; habit 2: -1.01% [-1.34% to -0.69%]; habit 3: -0.71% [95% CI, -0.93% to -0.49%]; habit 4: -0.97% [95% CI, -1.21% to -0.73%]; habit 5: -0.44% [95% CI, -0.71% to -0.17%]; habit 6: -0.75% [95% CI, -0.96% to -0.53%]; all P < .001). There were differences in HbA1c according to race, insurance, and parental education, but these associations were attenuated with the inclusion of the 6 habits, which had more robust associations with HbA1c levels than the demographic characteristics. CONCLUSIONS AND RELEVANCE These findings suggest that a focus on increasing adherence to the 6 habits could be critical for improving disparities in glycemic outcomes; these metrics have been adopted by the Type 1 Diabetes Exchange Quality Improvement Collaborative for continuous quality improvement.
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Affiliation(s)
- Joyce M. Lee
- Susan B. Meister Child Health Evaluation and Research Center (CHEAR), University of Michigan, Ann Arbor
- Pediatric Endocrinology, University of Michigan, Ann Arbor
| | - Andrea Rusnak
- Pediatric Endocrinology, University of Michigan, Ann Arbor
| | - Ashley Garrity
- Susan B. Meister Child Health Evaluation and Research Center (CHEAR), University of Michigan, Ann Arbor
- Pediatric Endocrinology, University of Michigan, Ann Arbor
| | - Emily Hirschfeld
- Susan B. Meister Child Health Evaluation and Research Center (CHEAR), University of Michigan, Ann Arbor
| | - Inas H. Thomas
- Pediatric Endocrinology, University of Michigan, Ann Arbor
| | - Michelle Wichorek
- Brehm Center for Diabetes Research, University of Michigan, Ann Arbor
| | | | | | | | - Sarah D. Corathers
- Division of Endocrinology, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio
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26
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Weinstock RS, Prahalad P, Rioles N, Ebekozien O. T1D Exchange Quality Improvement Collaborative: A Learning Health System to Improve Outcomes for All People With Type 1 Diabetes. Clin Diabetes 2021; 39:251-255. [PMID: 34421199 PMCID: PMC8329012 DOI: 10.2337/cd21-0032] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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