Cited by 33Diabetes Management and ResearchMedication Adherence and ComplianceDiabetes Management and Education

Adherence and persistence to insulin therapy in people with diabetes: impact of connected insulin pen delivery ecosystem

Open access
Steenkamp, Devin, Eby, Elizabeth L, Gulati, Nany, Liao, Birong·2022·Journal of Diabetes Science and Technology

Abstract

Diabetes is an increasing public health problem, and insulin is the mainstay for treatment of type 1 diabetes. In type 2 diabetes treatment, insulin therapy is used after oral or other injectable agents become inadequate to achieve glycemic control. Despite the advances in insulin therapy, management of diabetes remains challenging. Numerous studies have reported low adherence and persistence to insulin therapy, which acts as a barrier to successful glycemic control and diabetes management. The aim of this targeted review article is to provide an overview of adherence and persistence to insulin therapy in people with diabetes and to discuss the impact of the emergence of a new connected ecosystem of increasingly sophisticated insulin pens, glucose monitoring systems, telemedicine, and mHealth on diabetes management. With the emergence of a connected diabetes ecosystem, we have entered an era of advanced personalized insulin delivery, which will have the potential to enhance diabetes self-management and clinical management. Early systems promise to unlock the potential to address missed or late bolus insulin delivery, which should help to address non-adherence and non-persistence. Over time, improvements in this ecosystem have the potential to combine insulin data with previously missing contextualized patient data, including meal, glucose, and activity data to support personalized clinical decisions and ultimately revolutionize insulin therapy.

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Crossref · 10.1177/1932296821997923

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  • Injection therapy is used by more than 80% of people with insulin-requiring diabetes.

    “As injection therapy is used by more than 80% of people with insulin-requiring diabetes, there is a clear need for intuitive, integrated systems to help multiple daily injection (MDI) patients interpret CGM data into actionable management steps to reduce the burden of demanding self-care directives and support telemedicine (3, 6, 10-13).”
  • There is a clear need for intuitive, integrated systems to help MDI patients interpret CGM data into actionable management steps to reduce the burden of demanding self-care directives and support telemedicine.

    “As injection therapy is used by more than 80% of people with insulin-requiring diabetes, there is a clear need for intuitive, integrated systems to help multiple daily injection (MDI) patients interpret CGM data into actionable management steps to reduce the burden of demanding self-care directives and support telemedicine (3, 6, 10-13).”

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References 62 · Cited by 33

Authors
Steenkamp, D., Eby, E. L., Gulati, N., & Liao, B.
Affiliations
  • Boston University (US)
  • Eli Lilly (United States) (US)
  • Eli Lilly Services India Pvt. Ltd., Bangalore, KA, India
Corresponding author
Steenkamp, Devin
Venue
Journal of Diabetes Science and Technology
Published
2021-03-05
Volume
16
Issue
4
Pages
995-1002
ISSN
1932-2968 (ISSN-L)
OpenAlex
W3134145428
Cited by
33
References
62
Citations by year
2026: 4 · 2025: 8 · 2024: 6 · 2023: 10 · 2022: 3 · 2021: 2
FWCI
0.81
Type
journal article
Language
en
Open access
Locations
  • Journal of Diabetes Science and Technology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
Eli Lilly and Company
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Keywords
insulin therapy, medication adherence, treatment persistence, type 1 diabetes, type 2 diabetes, connected insulin pens, telemedicine, mobile health, diabetes self-management, glycemic control
MeSH terms
Blood Glucose, Diabetes Mellitus, Type 2, Humans, Hypoglycemic Agents, Insulin, Blood Glucose Self-Monitoring, Ecosystem

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