
Project Lead: Nicole Grössmann-Waniek
Authors: Nicole Grössmann-Waniek, Christoph Strohmaier, Michaela Riegelnegg
Publication: November 2024
Language: Englisch (with German summary)
The increasing incidence and prevalence of cancer, particularly breast cancer, presents substantial challenges for the Austrian healthcare system. The current hospital-centred care delivery model contributes to escalating costs and suboptimal resource utilisation.
A comprehensive analysis of cancer care models across six European countries (Austria [AT], Germany [DE], Denmark [DK], Sweden [SE], Netherlands [NL], Belgium [BE]) was conducted through structured literature review, expert consultations (n=17), and data synthesis, focusing specifically on breast cancer care. Analysis of healthcare infrastructures and cross-sectoral care approaches throughout the patient journey identified three distinct models: centralised specialist models (AT, BE, DK) characterised by highly specialised centres with strict volume requirements; decentralised care (DE) featuring distributed hospital structures in the in- and outpatient setting; and network-based integrated care (NL, SE) combining specialist centres with regional care delivery. These models demonstrate considerable variations in their utilisation of inpatient, outpatient, and home-based care services. While these models reflect varying degrees of centralisation and specialisation, they all aim to ensure high-quality care through regulation, accreditation and collaboration, with countries combining elements of different models based on their national cancer strategy and healthcare infrastructure.
For Austria, implementing a gradual transition towards a more decentralised or network-based model could potentially alleviate pressure on hospital resources while enhancing quality of care. However, successful implementation necessitates appropriate infrastructure, qualified healthcare professionals, and effective cross-sectoral coordination. Key challenges include addressing workforce shortages and overcoming fragmented data integration across healthcare sectors.