García-Tirado, José; Villard, Orianne; Hall, Megan; Bisio, Alessandro; Gonder-Frederick, Linda (2023). Underrepresentation of Diverse Populations and Glycemic Outcomes in Major Clinical Trials of Automated Insulin Delivery. Diabetes technology & therapeutics, 25(10), pp. 752-754. 10.1089/dia.2023.0197
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Individuals with type 1 diabetes of minoritized race-ethnicities and low-socioeconomic status (SES) do not access nor use automated insulin delivery (AID) technology at equal rates compared to their non-Hispanic White (NHW) and high SES counterparts. Using four AID trials (n=292), we ran linear mixed models to compare glycemic outcomes using race/ethnicity, education, and income. These trials overrepresented NHW (83%), high-income (91%), and highly educated (86%) populations. By education, participants with <bachelor's degree had worse baseline glycemic control than those with ≥bachelor's degree as per HbA1c: 7.83% vs. 7.25% (p<0.001), time-in-range: 50.1% vs. 61.2% (p<0.001), and time >180 mg/dL: 46.2% vs. 34.5% (p<0.001). These differences disappeared following AID use. By race/ethnicity and income groups, there were no differences in baseline glycemic control. While baseline glycemic control tended to be worse for underrepresented populations, AID glycemic efficacy was approximately equivalent. These results suggest improving accessibility to AID could equalize glycemic outcome disparities.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Endocrinology, Diabetology and Clinical Nutrition |
UniBE Contributor: |
Garcia Tirado, José Fernando |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1557-8593 |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
26 Jun 2023 15:55 |
Last Modified: |
28 Dec 2023 09:43 |
Publisher DOI: |
10.1089/dia.2023.0197 |
PubMed ID: |
37347838 |
BORIS DOI: |
10.48350/184064 |
URI: |
https://boris.unibe.ch/id/eprint/184064 |
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