Literature DB >> 33155826

Racial-Ethnic Disparities in Diabetes Technology use Among Young Adults with Type 1 Diabetes.

Shivani Agarwal1, Clyde Schechter2, Jeffrey Gonzalez1,3, Judith A Long4,5.   

Abstract

Background: Recent studies highlight racial-ethnic disparities in insulin pump and continuous glucose monitor (CGM) use in people with type 1 diabetes (T1D), but drivers of disparities remain poorly understood beyond socioeconomic status (SES).
Methods: We recruited a diverse sample of young adults (YA) with T1D from six diabetes centers across the United States, enrolling equal numbers of non-Hispanic (NH) White, NH Black, and Hispanic YA. We used multivariate logistic regression to examine to what extent SES, demographics, health care factors (care setting, clinic attendance), and diabetes self-management (diabetes numeracy, self-monitoring of blood glucose, and Self-Care Inventory score) explained insulin pump and CGM use in each racial-ethnic group.
Results: We recruited 300 YA with T1D, aged 18-28 years. Fifty-two percent were publicly insured, and the mean hemoglobin A1c was 9.5%. Large racial-ethnic disparities in insulin pump and CGM use existed: 72% and 71% for NH White, 40% and 37% for Hispanic, and 18% and 28% for NH Black, respectively. After multiple adjustment, insulin pump and CGM use remained disparate: 61% and 53% for NH White, 49% and 58% for Hispanic, and 20 and 31% for NH Black, respectively. Conclusions: Insulin pump and CGM use was the lowest in NH Black, intermediate in Hispanic, and highest in NH White YA with T1D. SES was not the sole driver of disparities nor did additional demographic, health care, or diabetes-specific factors fully explain disparities, especially between NH Black and White YA. Future work should examine how minority YA preferences, provider implicit bias, systemic racism, and mistrust of medical systems help to explain disparities in diabetes technology use.

Entities:  

Keywords:  Continuous glucose monitor; Health care disparities; Inequity; Insulin pump; Technology; Type 1 diabetes; Young adults

Mesh:

Substances:

Year:  2020        PMID: 33155826      PMCID: PMC7994432          DOI: 10.1089/dia.2020.0338

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  18 in total

1.  Identifying and Reducing Disparities in Young Adults With Diabetes.

Authors:  Molly Finnan; Shivani Agarwal
Journal:  Diabetes Spectr       Date:  2021-11-10

Review 2.  A New Taxonomy for Technology-Enabled Diabetes Self-Management Interventions: Results of an Umbrella Review.

Authors:  Deborah A Greenwood; Michelle L Litchman; Diana Isaacs; Julia E Blanchette; Jane K Dickinson; Allyson Hughes; Vanessa D Colicchio; Jiancheng Ye; Kirsten Yehl; Andrew Todd; Malinda M Peeples
Journal:  J Diabetes Sci Technol       Date:  2021-08-11

3.  Using Peer Power to Reduce Health Disparities: Implementation of a Diabetes Support Coach Program in Federally Qualified Health Centers.

Authors:  Ashby F Walker; Ananta Addala; Eleni Sheehan; Rayhan Lal; Michael Haller; Nicholas Cuttriss; Stephanie Filipp; Linda Baer; Matthew Gurka; Angelina Bernier; Lauren Figg; Sarah Westen; Korey Hood; Claudia Anez-Zabala; Eliana Frank; Xanadu Roque; Jennifer Maizel; David Maahs
Journal:  Diabetes Spectr       Date:  2022-08-15

4.  Equity in Medical Care for People Living With Diabetes.

Authors:  Jaquelin Flores Garcia; Anne L Peters; Jennifer K Raymond; Jennifer Fogel; Sharon Orrange
Journal:  Diabetes Spectr       Date:  2022-08-15

5.  Diabetes Technology Meeting 2021.

Authors:  Nicole Y Xu; Kevin T Nguyen; Ashley Y DuBord; John Pickup; Jennifer L Sherr; Hazhir Teymourian; Eda Cengiz; Barry H Ginsberg; Claudio Cobelli; David Ahn; Riccardo Bellazzi; B Wayne Bequette; Laura Gandrud Pickett; Linda Parks; Elias K Spanakis; Umesh Masharani; Halis K Akturk; John S Melish; Sarah Kim; Gu Eon Kang; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2022-05-02

6.  Racial Disparities in Renal Outcomes Over Time Among Hospitalized Children With Systemic Lupus Erythematosus.

Authors:  Joyce C Chang; Cora Sears; Veronica Torres; Mary Beth F Son
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Review 7.  Advances, Challenges, and Cost Associated with Continuous Glucose Monitor Use in Adolescents and Young Adults with Type 1 Diabetes.

Authors:  Karishma A Datye; Daniel R Tilden; Angelee M Parmar; Eveline R Goethals; Sarah S Jaser
Journal:  Curr Diab Rep       Date:  2021-05-15       Impact factor: 4.810

8.  Improvement in Mean CGM Glucose in Young People with Type 1 Diabetes During 1 Year of the COVID-19 Pandemic.

Authors:  Tara Kaushal; Liane Tinsley; Lisa K Volkening; Louise Ambler-Osborn; Lori Laffel
Journal:  Diabetes Technol Ther       Date:  2021-10-13       Impact factor: 6.118

9.  "I Didn't Really Have a Choice": Qualitative Analysis of Racial-Ethnic Disparities in Diabetes Technology Use Among Young Adults with Type 1 Diabetes.

Authors:  Shivani Agarwal; Gladys Crespo-Ramos; Judith A Long; Victoria A Miller
Journal:  Diabetes Technol Ther       Date:  2021-09       Impact factor: 7.337

10.  Solutions to Address Inequity in Diabetes Technology Use in Type 1 Diabetes: Results from Multidisciplinary Stakeholder Co-creation Workshops.

Authors:  Shivani Agarwal; Gladys Crespo-Ramos; Stephanie L Leung; Molly Finnan; Tina Park; Katie McCurdy; Jeffrey S Gonzalez; Judith A Long
Journal:  Diabetes Technol Ther       Date:  2022-06       Impact factor: 7.337

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