Establishing an MSU service in a medium-sized German urban area-clinical and economic considerations

Front Neurol. 2024 Feb 29:15:1358145. doi: 10.3389/fneur.2024.1358145. eCollection 2024.

Abstract

Background and purpose: Mobile stroke units (MSU) have been demonstrated to improve prehospital stroke care in metropolitan and rural regions. Due to geographical, social and structural idiosyncrasies of the German city of Mannheim, concepts of established MSU services are not directly applicable to the Mannheim initiative. The aim of the present analysis was to identify major determinants that need to be considered when initially setting up a local MSU service.

Methods: Local stroke statistics from 2015 to 2021 were analyzed and circadian distribution of strokes and local incidence rates were calculated. MSU patient numbers and total program costs were estimated for varying operating modes, daytime coverage models, staffing configurations which included several resource sharing models with the hospital. Additional case-number simulations for expanded catchment areas were performed.

Results: Median time of symptom onset of ischemic stroke patients was 1:00 p.m. 54.3% of all stroke patients were admitted during a 10-h time window on weekdays. Assuming that MSU is able to reach 53% of stroke patients, the average expected number of ischemic stroke patients admitted to MSU would be 0.64 in a 10-h shift each day, which could potentially be increased by expanding the MSU catchment area. Total estimated MSU costs amounted to € 815,087 per annum. Teleneurological assessment reduced overall costs by 11.7%.

Conclusion: This analysis provides a framework of determinants and considerations to be addressed during the design process of a novel MSU program in order to balance stroke care improvements with the sustainable use of scarce resources.

Keywords: acute stroke care; computerized tomography; mobile stroke units; prehospital stroke care; prehospital thrombolysis.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This project was part of the “RettungNetz-5G” project, funded by the German Federal Ministry for Digital and Transport under the funding code 45FGU140_F. For further details please see https://rettungsnetz5g.de.