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Conway RB, Snell-Bergeon J, Honda-Kohmo K, Peddi AK, Isa SB, Sulong S, Sibomana L, Gerard Gonzalez A, Song J, Lomax KE, Lo CN, Kim W, Haynes A, de Bock M, Burckhardt MA, Schwab S, Hong K. Disparities in Diabetes Technology Uptake in Youth and Young Adults With Type 1 Diabetes: A Global Perspective. J Endocr Soc 2024; 9:bvae210. [PMID: 39703363 PMCID: PMC11655873 DOI: 10.1210/jendso/bvae210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Indexed: 12/21/2024] Open
Abstract
Globally, nearly 9 million people are living with type 1 diabetes (T1D). Although the incidence of T1D is not affected by socioeconomic status, the development of complications and limited access to modern therapy is overrepresented in vulnerable populations. Diabetes technology, specifically continuous glucose monitoring and automated insulin delivery systems, are considered the gold standard for management of T1D, yet access to these technologies varies widely across countries and regions, and varies widely even within high-income countries. This review focuses on disparities in diabetes technology use among adolescents and young adults with T1D, barriers to access and use, and summarizes common themes emerging across countries and regions. We conducted a survey among medical technology manufacturers and physicians in various countries across diverse geographical regions and performed extensive literature searches. Across all countries and regions, economic barriers stand out as the largest and most common barriers, either preventing market penetrance of technology into a country or limiting its access to the individual with diabetes due to high out of pocket costs. Other common barriers include structural or accessibility barriers, such as stringent eligibility requirements by insurance providers, regardless of whether the insurance was private or government-based, and provider/individual level barriers. Based on the evidence presented, we suggest the need for a joint effort involving governments, private health insurers, technology manufacturers, and healthcare providers to address the global disparities of diabetic technology utilization and ensure equitable access for all individuals living with T1D worldwide.
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Affiliation(s)
- Rebecca Baqiyyah Conway
- Department of Epidemiology, University of Colorado, Aurora, CO 80045, USA
- American Academy of Epidemiology, Inc., Tyler, TX 75701, USA
| | - Janet Snell-Bergeon
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO 80045, USA
| | - Kyoko Honda-Kohmo
- Division of Preventative Healthcare, National Cerebral and Cardiovascular Center, Suita, Osaka 564-8565, Japan
| | | | - Salbiah Binti Isa
- Universiti Sains Malaysia, Advanced Medical and Dental Institute, 130200 Pulau, Pinang, Malaysia
| | - Shakira Sulong
- Division of Medical Operations, Metro Sihat Sdn Bhd, 60000 Kuala Lumpur, Malaysia
| | - Laurien Sibomana
- Department of the Director, Pillar of Health, Pittsburgh, PA 15237, USA
| | - Andrea Gerard Gonzalez
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO 80045, USA
| | - Jooyoun Song
- Department of Psychiatry, Jooyoun's Psychiatry, 07938 Seoul, Korea
| | - Kate Elizabeth Lomax
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Nedlands, WA 6909, Australia
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Nedlands, WA 6909, Australia
| | - Ching-Nien Lo
- GM Office, EPS BIO Technology Corp., Hsinchu 30076, Taiwan
| | - Wondong Kim
- Management (Including R&D Director), CareforU Co., Ltd., 14042 Anyang, Korea
| | - Aveni Haynes
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Nedlands, WA 6909, Australia
| | - Martin de Bock
- Department of Pediatrics, University of Otago, Christchurch 8140, New Zealand
| | - Marie-Anne Burckhardt
- University Children's Hospital Basel UKBB, Pediatric Endocrinology and Diabetology, 4056 Basel, Switzerland
| | - Savannah Schwab
- Department of Epidemiology, University of Colorado, Aurora, CO 80045, USA
| | - Kwanho Hong
- Management (Marketing & Development), CareforU Co., Ltd., 14042 Anyang, Korea
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Kim JY, Jin SM, Andrade SB, Chen B, Kim JH. Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis. Diabetes Technol Ther 2024; 26:394-402. [PMID: 38277166 DOI: 10.1089/dia.2023.0513] [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] [Indexed: 01/27/2024]
Abstract
Background: We used continuous glucose monitoring (CGM) data to investigate glycemic outcomes in a real-world population with type 1 diabetes (T1D) from South Korea, where the widespread use of CGM and the nationwide education program began almost simultaneously. Methods: Data from Dexcom G6 users with T1D in South Korea were collected between January 2019 and January 2023. Users were included if they provided at least 90 days of glucose data and used CGM at least 70% of the days in the investigational period. The relationship between CGM utilization and glycemic metrics, including the percentage of time in range (TIR), time below range (TBR), and time above range (TAR), was assessed. The study was approved by the Institutional Review Board of Samsung Medical Center (SMC 2023-05-030). Results: A total of 2288 users were included. Mean age was 41.5 years (57% female), with average uploads of 428 days. Mean TIR was 62.4% ± 18.5%, mean TBR <70 mg/dL was 2.6% ± 2.8%, mean TAR >180 mg/dL was 35.0% ± 19.3%, mean glucose was 168.1 ± 35.8 mg/dL, mean glucose management indicator was 7.2% ± 0.9%, and mean coefficient of variation was 36.7% ± 6.0%. Users with higher CGM utilization had higher TIR (67.8% vs. 52.7%), and lower TBR <70 mg/dL (2.3% vs. 4.7%) and TAR >180 mg/dL (30.0% vs. 42.6%) than those with low CGM utilization (P < 0.001 for all). Users whose data were shared with others had higher TIR than those who did not (63.3% vs. 60.8%, P = 0.001). Conclusions: In this South Korean population, higher CGM utilization was associated with a favorably higher mean TIR, which was close to the internationally recommended target. Using its remote data-sharing feature showed beneficial impact on TIR.
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Affiliation(s)
- Ji Yoon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | | | | | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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