Time is a fundamental component of acute stroke and transient ischaemic attack (TIA) care, thus minimising prehospital delays is a crucial part of the stroke chain of survival. COVID-19 restrictions were introduced in Ireland in response to the pandemic, which resulted in major societal changes. However, current research on the effects of the COVID-19 pandemic on prehospital care for stroke/TIA is limited to early COVID-19 waves. Thus, we aimed to investigate the effect of the COVID-19 pandemic on ambulance time intervals and suspected stroke/TIA call volume for adults with suspected stroke and TIA in Ireland, from 2018 to 2021.

We conducted a secondary data analysis with a quasi-experimental design.

We used data from the National Ambulance Service in Ireland. We defined the COVID-19 period as ‘1 March 2020–31 December 2021’ and the pre-COVID-19 period ‘1 January 2018–29 February 2020’.

We compared five ambulance time intervals: ‘allocation performance’, ‘mobilisation performance’, ‘response time’, ‘on scene time’ and ‘conveyance time’ between the two periods using descriptive and regression analyses. We also compared call volume for suspected stroke/TIA between the pre-COVID-19 and COVID-19 periods using interrupted time series analysis.

We included all suspected stroke/TIA cases ≥18 years who called the National Ambulance Service from 2018 to 2021.

40 004 cases were included: 19 826 in the pre-COVID-19 period and 19 731 in the COVID-19 period. All ambulance time intervals increased during the pandemic period compared with pre-COVID-19 (p

A ’shock' like a pandemic has a negative impact on the prehospital phase of care for time-sensitive conditions like stroke/TIA. System evaluation and public awareness campaigns are required to ensure maintenance of prehospital stroke pathways amidst future healthcare crises. Thus, this research is relevant to routine and extraordinary prehospital service planning.

Implementation of enhanced recovery pathways (ERPs) has resulted in improved patient-centred outcomes and decreased costs. However, there is a lack of high-level evidence for many ERP elements. We have designed a randomised, embedded, multifactorial, adaptive platform perioperative medicine (REMAP Periop) trial to evaluate the effectiveness of several perioperative therapies for patients undergoing complex abdominal surgery as part of an ERP. This trial will begin with two domains: postoperative nausea/vomiting (PONV) prophylaxis and regional/neuraxial analgesia. Patients enrolled in the trial will be randomised to arms within both domains, with the possibility of adding additional domains in the future.

In the PONV domain, patients are randomised to optimal versus supraoptimal prophylactic regimens. In the regional/neuraxial domain, patients are randomised to one of five different single-injection techniques/combination of techniques. The primary study endpoint is hospital-free days at 30 days, with additional domain-specific secondary endpoints of PONV incidence and postoperative opioid consumption. The efficacy of an intervention arm within a given domain will be evaluated at regular interim analyses using Bayesian statistical analysis. At the beginning of the trial, participants will have an equal probability of being allocated to any given intervention within a domain (ie, simple 1:1 randomisation), with response adaptive randomisation guiding changes to allocation ratios after interim analyses when applicable based on prespecified statistical triggers. Triggers met at interim analysis may also result in intervention dropping.

The core protocol and domain-specific appendices were approved by the University of Pittsburgh Institutional Review Board. A waiver of informed consent was obtained for this trial. Trial results will be announced to the public and healthcare providers once prespecified statistical triggers of interest are reached as described in the core protocol, and the most favourable interventions will then be implemented as a standardised institutional protocol.

NCT04606264.