BACKGROUND: Several studies have evaluated sex discrepancies in the prehospital management of patients with acute stroke. This systematic review and meta-analysis aims to summarize reported knowledge about sex differences in dispatch center and emergency medical service management. It proposes a roadmap of questions and the next necessary steps to ensure equitable prehospital stroke care. METHODS: We conducted a systematic review and meta-analysis, using a random-effects model with inverse weighting. PubMed, CINAHL, EMBASE, and EMCARE were searched for studies investigating sex differences in the prehospital management of patients with suspected and acute stroke. The main outcome was the relative risk (RR) for receiving a correct prehospital stroke diagnosis. Additional outcomes are related to prehospital management and time metrics. RESULTS: Sixteen studies were included, comprising 571 024 males and 622 764 females. No relevant risk of bias was detected. Female patients were less often correctly identified as stroke suspects than male patients (RR, 0.92 95% CI, 0.89–0.96; I 2 =73%). No differences were observed in the number receiving a dispatch code stroke (RR, 0.95 95% CI, 0.88–1.02; I 2 =96%), prenotification to hospital by emergency medical service (RR, 0.98 95% CI, 0.96–1.00; I 2 =92%), or conveyance to a stroke center (RR, 0.99 95% CI, 0.79–1.24; I 2 =82%). There was no difference in mean time from emergency call to hospital door (mean difference, 1.12 95% CI, −0.64 to 2.89 minutes; I 2 =96%). No conclusion could be drawn for outcomes of on-site clinical management, emergency medical service-to-hospital team interaction, and most of the time metrics due to a lack of data. CONCLUSIONS: This analysis indicates sex differences in the prehospital recognition of acute stroke. However, significant heterogeneity and a lack of data for most steps of prehospital care also highlight the urgent need for high-quality studies to systematically investigate prehospital management disparity between female and male patients with suspected acute stroke. REGISTRATION: URL: https://crd.york.ac.uk/PROSPERO/ ; Unique identifier: CRD42023442997.
Wells et al. (Mon,) studied this question.