Corrigendum to: Optimizing mobile stroke unit deployment: A strategic case study in the greater Oslo area

Markhorst B, Jagtenberg C, Hov MR, van der Mei R, Larsen K. Optimizing mobile stroke unit deployment: A strategic case study in the greater Oslo area. Eur Stroke J. Epub ahead of print 27 March 2025. DOI: 10.1177/23969873251329862

In the original publication of this article the original analysis overlooked a few postal codes in the data. After correcting this, the new results are as follows: Now, we consider 3,801 instead of 3,121 strokes in our data. The optimal base location for a single MSU in the greater Oslo area without a rendez- vous approach is postal code 0579 and would increase the coverage of stroke patients by 24%.

The Results section of the Abstract should now read:

Results:

The optimal base location for a single MSU in the greater Oslo area would increase the coverage of stroke patients by 24%. The rendez-vous approach yields a more than doubled coverage for confirmed stroke patients. In the optimal location, the MSU has the potential to reduce time to thrombolysis by 28 minutes (28%) and time to thrombectomy by around 35 minutes (20%).

Additionally, we have updated the heatmap in Figure 1, Figure 3, Figure, 4, and Figure 5, and Table 1, which are provided below.

Figure 1.

Heatmap for the number of confirmed strokes per postal code in the Oslo area and the Oslo area highlighted, indicating Oslo, Akershus, Buskerud, Østfold, and Innlandet.

Figure 3.

Three specialized hospitals (blue), the optimal MSU base based on the confirmed strokes (orange) and the optimal base with rendez-vous (black). OUH-R; Oslo University Hospital Rikshospitalet, OUH-U; Oslo University Hospital Ullevål, AHUS. Akershus University Hospital.

Figure 4.

Sensitivity analysis on the placement of one MSU in the Oslo area. Darker green areas illustrate MSU base locations with higher patient coverage. MSU; mobile stroke unit.

Figure 5.

Distribution of time until stroke treatment starts, either in the Mobile Stroke Unit (MSU) or a specialized hospital. Three situations are compared: the as-is situation (without MSU) and using one MSU with and without rendez-vous.

Table 1.

Mean and standard deviation (SD) of onset to treatment time for thrombolysis and thrombectomy for three diTerent ambulance approaches.

Approach	Optimal BaseLocation	Mean (SD)
		Onset to treatment timethrombolysis (minutes)	Onset to treatment timethrombectomy (minutes)
Without MSU	–	101 (124)	157 (142)
Model 1	0579	78 (72)	139 (138)
Model 2	0680	73 (68)	123 (154)