Dokument: Direct stroke unit access versus a hub-and-spoke model with telemedicine-assisted CT in Germany: a cross-sectional geospatial analysis

Titel:Direct stroke unit access versus a hub-and-spoke model with telemedicine-assisted CT in Germany: a cross-sectional geospatial analysis
URL für Lesezeichen:https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=72343
URN (NBN):urn:nbn:de:hbz:061-20260218-131014-5
Kollektion:Publikationen
Sprache:Englisch
Dokumententyp:Wissenschaftliche Texte » Artikel, Aufsatz
Medientyp:Text
Autoren: Masanneck, Lars [Autor]
Vach, Marius [Autor]
Caspers, Julian [Autor]
Rubbert, Christian [Autor]
Meuth, Sven G. [Autor]
Pawlitzki, Marc [Autor]
Gliem, Michael [Autor]
von der Lieth, David [Autor]
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Dateien vom 18.02.2026 / geändert 18.02.2026
Stichwörter:Stroke , Outcome , Models of care , Telemedicine
Beschreibung:Background
Timely reperfusion offers the greatest benefit in acute ischaemic stroke within the first hour after onset. However, geographic disparities in stroke care access persist across Germany. Despite the potential of telemedicine and mobile stroke units, nationwide data that quantify existing care gaps or systematically investigate the benefit of early imaging with subsequent thrombolysis in locally accessible, CT-equipped hospitals with telemedicine are lacking. This study modelled nationwide access and compared direct transfer to specialised hospitals with a hub-and-spoke strategy (nearest CT plus telemedicine) for early thrombolysis.
Methods
We performed a cross-sectional geospatial analysis combining national facility registries and 2023 hospital quality reports (data collected February 1st–July 23rd, 2025). We mapped German CT-equipped hospitals (n = 1475), stroke-ready hospitals (≥100 annual cases of “complex neurological treatment of acute stroke”, n = 463) and certified stroke units (n = 349). For these facilities we modelled driving-time access up to 60 min in 5-min intervals using a local installation of openrouteservice, overlaying these on population and settlement grids. Additional scenarios simulated variations in ambulance speed (default: standard openrouteservice vehicle speed) or additional in-hospital delays when using a hub-and-spoke scenario. We then compared hub-and-spoke versus direct transfer to specialised hospitals on a national, state- and county-level.
Findings
Within 30 min, nearly all residents (82,484,915/83,420,000; 98.9%) could reach a CT-equipped hospital, 90.0% (75,051,793) a stroke-ready hospital, but only 85.0% (70,875,055) a certified stroke unit. Compared with direct transfer to a stroke unit, a hub-and-spoke pathway would let 36.4% of inhabitants start imaging ≥10 min sooner (assuming normal speed, other scenarios varying from 4.5% to 40.0%) and for 14.2% it could save ≥20 min (varying from 1.1% to 18.2% across scenarios). Estimated benefits of a hub-and-spoke model depended on assumed driving speed and declined with simulated CT delays. Rural regions had particularly pronounced access gaps to stroke care, as evidenced by lower levels of urbanisation in regions with a higher hub-and-spoke benefit potential. State-level analysis illustrated heterogeneity, with 48.6% of inhabitants potentially benefitting from a hub-and-spoke model in Saxony-Anhalt, but <5% in city-states (assuming normal driving speed and 10-min delay).
Interpretation
Marked intra-national inequities in rapid accessibility to stroke care persist. Leveraging CT-equipped hospitals with telemedicine could enable timelier thrombolysis within a hub-and-spoke model. Open questions regarding implementation and economics should be investigated.
Rechtliche Vermerke:Originalveröffentlichung:
Masanneck, L., Vach, M., Caspers, J., Rubbert, C., von der Lieth, D., Meuth, S., Pawlitzki, M., & Gliem, M. (2026). Direct stroke unit access versus a hub-and-spoke model with telemedicine-assisted CT in Germany: a cross-sectional geospatial analysis. The Lancet Regional Health. Europe, 63, Article 101604. https://doi.org/10.1016/j.lanepe.2026.101604
Lizenz:Creative Commons Lizenzvertrag
Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz
Fachbereich / Einrichtung:Medizinische Fakultät
Dokument erstellt am:18.02.2026
Dateien geändert am:18.02.2026
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