Type 1 diabetes

Medication Use in Type 1 Diabetes and the Association with Socioeconomic Disadvantage: Analysis of a National Linked Dataset

Diabetes Technol TherPublished Retrospective cohort study

Authors' conclusion

Receipt of commonly prescribed medications in type 1 diabetes and polypharmacy were associated with increased socioeconomic disadvantage.

Study context

Population
People with T1D registered on the National Diabetes Services Scheme, Australia, 2013–2019; 54.3% males; median age 38.8 years; median diabetes duration 17.0 years
Participants
68,287 people
Exposure
Most vs least disadvantaged areas
Outcome
Proportion dispensed a medication class (beyond insulin), by year and by levels of Index of Relative Social Disadvantage
Follow-up
2013–2019
Methodological detailsnational linked dataset, National Diabetes Services Scheme linked to Australian pharmaceutical claims database
  • National linked dataset
  • National Diabetes Services Scheme linked to Australian pharmaceutical claims database

Main finding

As reported in the abstract

Receipt of medication classes, most vs least disadvantaged areas (crude rates) · 2019
Adjuvant glucose-lowering therapy: most vs least disadvantaged
21.5% vs. 11.6%
Antihypertensive therapies: most vs least disadvantaged
36.1% vs. 28.8%
Lipid-lowering therapies: most vs least disadvantaged
35.7% vs. 29.7%
Antithrombotic medication: most vs least disadvantaged
8.9% vs. 5.6%
Proton pump inhibitors: most vs least disadvantaged
25.2% vs. 17.1%
Medications for asthma: most vs least disadvantaged
13.2% vs. 8.4%
Medications for mental health: most vs least disadvantaged
27.5% vs. 21.5%

Observational data: associations, not effects.

Further findings

Polypharmacy (≥5 medications)

Number of medications used

Median number of medications (IQR 3-8)
5

Trends 2013–2019

Trends relatively stable, except use of noninsulin (adjuvant) glucose-lowering agents, which increased

Original publication

Medication Use in Type 1 Diabetes and the Association with Socioeconomic Disadvantage: Analysis of a National Linked Dataset. Diabetes Technol Ther. Published 3 October 2025. doi:10.1177/15209156251383516

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