ORIGINAL RESEARCH article
Front. Pharmacol.
Sec. Pharmacoepidemiology
Volume 16 - 2025 | doi: 10.3389/fphar.2025.1530139
Factors associated with prescription of modern antidiabetics in newly diagnosed patients with type 2 diabetes. A real-world data study in a Spanish region
Provisionally accepted- 1Lozano Blesa University Clinical Hospital, Zaragoza, Aragon, Spain
- 2Grupo de Investigación en Servicios Sanitarios de Aragón (GRISSA), Zaragoza, Spain
- 3University of Zaragoza, Zaragoza, Aragon, Spain
- 4Servicio Aragonés de Salud, Zaragoza, Aragon, Spain
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Aim: to describe the patterns of first prescription of antidiabetic drugs (AD) in patients with type 2 diabetes (T2D) and analyze the factors associated with the prescription of a modern one.Methods: observational longitudinal study conducted in the CArdiovascular Risk factors for HEalth Services research (CARhES) cohort. Individuals older than 15, resident in Aragón (Spain), diagnosed with T2D during 2018 -2022 were selected and followed-up until 31 st December 2022.Secondary use of data from the health system provided sociodemographic, clinical and pharmacological prescription information. We also considered additional variables by Basic Healthcare Area (BHA) of residence. AD were classified into "classical" and "modern" and their differences were described and compared. A multilevel methodology stratified by sex was developed, considering individual characteristics and characteristics of the BHA of residence, to analyze the factors associated to a modern AD.Results: our population-based cohort of 22,892 patients were mostly male, native, low-income and living in non-depopulated BHA. People who were younger, with heart failure, ischemic heart disease, chronic renal failure, obesity, with a previous major adverse cardiovascular event, higher socioeconomic level or lived in less deprived and more depopulated areas were more likely to get a modern AD prescription.Conclusions: our analyses showed that prescribing practices vary according to a range of sociodemographic, clinical and geographical characteristics. Knowledge of these factors is essential for implementing and improving equitable and person-centered approaches.
Keywords: Antidiabetic drug, type 2 diabetes, Prescribing pattern, Multilevel Analysis, real word data
Received: 18 Nov 2024; Accepted: 26 Jun 2025.
Copyright: © 2025 Bengoa-Urrengoechea, Aguilar, Rabanaque, Lallana, Gamba Cabezas and Malo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Isabel Aguilar, University of Zaragoza, Zaragoza, 50009, Aragon, Spain
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