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Dataset Information

A heart failure network model to improve outcome and trans-sectoral guideline-directed medical treatment utilization.


ABSTRACT:

Aims

Heart failure (HF) is a major cause of hospitalization, mortality and healthcare costs. Reducing its socioeconomic burden is a key global public health priority. HF networks are recommended to improve screening and management of HF patients. We developed and implemented a multi-sectoral HF network in Northern Germany aimed at optimizing patient outcomes.

Methods and results

A regional HF network was established by integrating 12 pre-existing local networks into a state-wide, multi-sectoral HF network. Data from HF-coded patients were analysed for two time periods: pre-implementation (2018-2020) and post-implementation (2021-2023). Patient trajectories through the healthcare system were examined using both inpatient and outpatient datasets. We report on the network's imp

SUBMITTER: Paitazoglou C 

PROVIDER: S-EPMC12719809 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature