Detailed Insights into Basal Insulin Adherence in People with Type 2 Diabetes Using a Data-Driven Assessment Method

Jannie Nørlev; Thomas Kronborg; Ole Hejlesen; Morten Hasselstrøm; Peter Vestergaard; Stine Hangaard

doi:10.3233/SHTI240349

Detailed Insights into Basal Insulin Adherence in People with Type 2 Diabetes Using a Data-Driven Assessment Method

Jannie Nørlev^*, Thomas Kronborg, Ole Hejlesen, Morten Hasselstrøm, Peter Vestergaard, Stine Hangaard

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Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Bidrag til bog/antologi › Forskning › peer review

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Abstract

INTRODUCTION: Basal insulin non-adherence is a challenge in people with type 2 diabetes (T2D).

METHODS: Using injection data recorded by a connected insulin pen, we employed a novel three-step methodology to assess three aspects of adherence (overall adherence, adherence distribution, and dose deviation) in individuals with insulin-treated T2D undergoing telemonitoring.

RESULTS: Among participants, 52% were considered overall adherent. However, deviations from the recommended dose were observed in all participants, with increased and reduced doses being the predominant forms of non-adherence.

CONCLUSIONS: Our study underscores the prevalence of basal insulin dosing irregularities in individuals with insulin-treated T2D undergoing telemonitoring.

Originalsprog	Engelsk
Titel	Digital Health and Informatics Innovations for Sustainable Health Care Systems
Antal sider	5
Vol/bind	316
Forlag	IOS Press
Publikationsdato	22 aug. 2024
Sider	73-77
ISBN (Elektronisk)	978-1-64368-533-5
DOI	https://doi.org/10.3233/SHTI240349
Status	Udgivet - 22 aug. 2024
Begivenhed	34th Medical Informatics Europe Conference (MIE): Digital Health & Informatics Innovations for Sustainable Health Care Systems - Athens, Grækenland Varighed: 25 aug. 2024 → 29 aug. 2024 https://mie2024.org/

Konference

Konference	34th Medical Informatics Europe Conference (MIE)
Land/Område	Grækenland
By	Athens
Periode	25/08/2024 → 29/08/2024
Internetadresse	https://mie2024.org/

Navn	Studies in Health Technology and Informatics
Vol/bind	316
ISSN	0926-9630

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10.3233/SHTI240349Licens: CC BY-NC 4.0

Open Access articleForlagets udgivne version, 311 KBLicens: CC BY-NC 4.0

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Citationsformater

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Nørlev, J , Kronborg, T, Hejlesen, O, Hasselstrøm, M , Vestergaard, P & Hangaard, S 2024, Detailed Insights into Basal Insulin Adherence in People with Type 2 Diabetes Using a Data-Driven Assessment Method. i Digital Health and Informatics Innovations for Sustainable Health Care Systems. bind 316, IOS Press, Studies in Health Technology and Informatics , bind 316, s. 73-77, 34th Medical Informatics Europe Conference (MIE), Athens, Grækenland, 25/08/2024. https://doi.org/10.3233/SHTI240349

Detailed Insights into Basal Insulin Adherence in People with Type 2 Diabetes Using a Data-Driven Assessment Method. / Nørlev, Jannie ; Kronborg, Thomas; Hejlesen, Ole et al.
Digital Health and Informatics Innovations for Sustainable Health Care Systems. Bind 316 IOS Press, 2024. s. 73-77 (Studies in Health Technology and Informatics , Bind 316).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Bidrag til bog/antologi › Forskning › peer review

TY - CHAP

T1 - Detailed Insights into Basal Insulin Adherence in People with Type 2 Diabetes Using a Data-Driven Assessment Method

AU - Nørlev, Jannie

AU - Kronborg, Thomas

AU - Hejlesen, Ole

AU - Hasselstrøm, Morten

AU - Vestergaard, Peter

AU - Hangaard, Stine

PY - 2024/8/22

Y1 - 2024/8/22

N2 - INTRODUCTION: Basal insulin non-adherence is a challenge in people with type 2 diabetes (T2D).METHODS: Using injection data recorded by a connected insulin pen, we employed a novel three-step methodology to assess three aspects of adherence (overall adherence, adherence distribution, and dose deviation) in individuals with insulin-treated T2D undergoing telemonitoring.RESULTS: Among participants, 52% were considered overall adherent. However, deviations from the recommended dose were observed in all participants, with increased and reduced doses being the predominant forms of non-adherence.CONCLUSIONS: Our study underscores the prevalence of basal insulin dosing irregularities in individuals with insulin-treated T2D undergoing telemonitoring.

AB - INTRODUCTION: Basal insulin non-adherence is a challenge in people with type 2 diabetes (T2D).METHODS: Using injection data recorded by a connected insulin pen, we employed a novel three-step methodology to assess three aspects of adherence (overall adherence, adherence distribution, and dose deviation) in individuals with insulin-treated T2D undergoing telemonitoring.RESULTS: Among participants, 52% were considered overall adherent. However, deviations from the recommended dose were observed in all participants, with increased and reduced doses being the predominant forms of non-adherence.CONCLUSIONS: Our study underscores the prevalence of basal insulin dosing irregularities in individuals with insulin-treated T2D undergoing telemonitoring.

KW - Aged

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KW - Adherence assessment

KW - basal insulin

KW - type 2 diabetes

KW - injection data

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BT - Digital Health and Informatics Innovations for Sustainable Health Care Systems

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ER -

Nørlev J , Kronborg T, Hejlesen O, Hasselstrøm M , Vestergaard P , Hangaard S. Detailed Insights into Basal Insulin Adherence in People with Type 2 Diabetes Using a Data-Driven Assessment Method. I Digital Health and Informatics Innovations for Sustainable Health Care Systems. Bind 316. IOS Press. 2024. s. 73-77. (Studies in Health Technology and Informatics , Bind 316). doi: 10.3233/SHTI240349

Detailed Insights into Basal Insulin Adherence in People with Type 2 Diabetes Using a Data-Driven Assessment Method

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