Data-driven segmentation of type 2 diabetes mellitus patients: an observational study on health care utilisation prior to an emergency department visit in Germany

Data-driven segmentation of type 2 diabetes mellitus patients: an observational study on health care utilisation prior to an emergency department visit in Germany

BackgroundPotentially avoidable hospital admissions (PAHs) due to type 2 diabetes mellitus (T2DM) occur more frequently in Germany than in the rest of Europe. Emergency departments (EDs) play an important role in understanding cross-sectoral health care utilisation resulting in inpatient admissions....

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Bibliographic Details
Main Authors: Mirjam Rupprecht, Alessandro Campione, Yves Noel Wu, Antje Fischer-Rosinský, Anna Slagman, Dorothee Riedlinger, Martin Möckel, Thomas Keil, Lukas Reitzle, Cornelia Henschke
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Medicine
Subjects:
type II diabetes mellitus
emergency department
health care utilisation
avoidable hospital admission
population segmentation
latent class analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1509220/full
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