Cited by 70Diabetes Management and ResearchDiabetes Management and EducationMobile Health and mHealth Applications

Technology and health inequities in diabetes care: How do we widen access to underserved populations and utilize technology to improve outcomes for all

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Ebekozien, Osagie, Fantasia, Kathryn, Farrokhi, Farnoosh, Sabharwal, Ashutosh, Kerr, David·2024·Diabetes, Obesity and Metabolism

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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  • Recruiting older participants was challenging, primarily due to smartphone ownership requirements, digital literacy and participation commitments, underscoring the digital divide effect.

    “Recruiting older participants was challenging, primarily due to smartphone ownership requirements, digital literacy and participation commitments, underscoring the digital divide effect (37).”

    From Impact of digital health on Type 2 diabetes management: a randomised controlled trial of the ‘TreC Diabete’ platform (TELEMECHRON Study) (2025) · cites this paper as [37]

    The 'Drivers of the digital divide' and 'Informational drivers' sections discuss unequal access to digital health technology and the importance of users’ digital skills; the 'Technical drivers' section also describes the burden of using technology. They do not report difficulty recruiting older participants or attribute such difficulty to smartphone ownership requirements or participation commitments. (LLM, conf=0.80)

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References 100 · Cited by 70

Research works printed but not linked: 1

  1. [5]Coffman J, Calimlim E, Fix M. 2021 Edition—California Physicians. A portrait of practice. California Health Care Almanac. 2021.

Authors
Ebekozien, O., Fantasia, K., Farrokhi, F., Sabharwal, A., & Kerr, D.
Affiliations
  • University of Mississippi (US)
  • Boston University (US)
  • Alta Bates Summit Medical Center (US)
  • Rice University (US)
  • Sutter Health (US)
Corresponding author
Kerr, David
Venue
Diabetes, Obesity and Metabolism
Publisher
Wiley
Published
2024-01-31
Volume
26
Issue
S1
Pages
3-13
ISSN
  • 1462-8902 (ISSN-L)
  • 1463-1326
OpenAlex
W4391389640
Cited by
70
References
100
Citations by year
2026: 32 · 2025: 34 · 2024: 4
FWCI
23.05
Type
journal article
Language
en
Open access
Locations
  • Diabetes Obesity and Metabolism (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion, cc-by-nc)
  • Rice Research Repository (Rice University) (submittedVersion, cc-by-nc)
Funders
National Institute of Diabetes and Digestive and Kidney Diseases (K12DK133995)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
diabetes management, digital health technologies, health disparities, underserved populations, digital divide, access to technology, continuous glucose monitoring, hybrid closed-loop system, telemedicine, mobile application, technology adoption barriers, health outcomes
MeSH terms
Health Inequities, Blood Glucose, Diabetes Mellitus, Humans, Technology, Blood Glucose Self-Monitoring, Vulnerable Populations

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