Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
RECRUITING
2000 participants
OBSERVATIONAL
2025-05-01
2026-12-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Evidence points towards sex inequity in management pathways of acute stroke care. A complicating factor in acute stroke management is the diversity in clinical presentation among patients of different sex. This increases the challenges of correct prehospital identification.
Most of the currently available data on male and female differences in acute stroke management come from patients with hospital-confirmed stroke. Little to no information is available about sex-related management differences of patients with prehospital suspected stroke, often missed by stroke quality databases.
Objectives: To identify sex differences in EMS-delivered prehospital diagnostic accuracy and management of patients with suspected or confirmed acute stroke.
Methods: International project collaboration to conduct a cross-regional cohort analysis of patients with a prehospital working diagnosis of stroke and/or hospital-confirmed stroke diagnosis.
Relevance: More information and details about the reasons for a potential prehospital treatment inequity are a necessary next step for any improvement and subsequent development of structured training programmes for emergency medical service personnel. This project is the first large-scaled international collaboration addressing sex differences in prehospital stroke care. With this approach the project will not only lead to more urgently needed information, but will also serve as a lighthouse project for raising general awareness for this topic.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Querying Stroke Unit Nursing Interventions in the Emergency Department
NCT04011514
Nursing Home Care Intervention Post Stroke
NCT02807012
Effects of the CO-OP Approach on Occupational Performance and Executive Function in Adults With Stroke
NCT07127536
Determinants of Balance Recovery After Stroke - Retrospective Study
NCT03203109
Improving Coordination and Transitions of Care in Stroke Patients
NCT02642744
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
This is nourished by the fact that Emergency Medical Service (EMS) clinicians, who are responsible for this rapid management are usually not specialised in stroke medicine, which results in reported numbers of missed stroke diagnosis of as high as 52% (Jones, Bray et al. 2021). Prehospital identification is additionally impeded by several factors, including the limited diagnostic equipment available at the emergency site, the broad variety of non-stroke diseases presenting with stroke-like symptoms (Gibson and Whiteley 2013) and not least the time pressure behind identification of stroke suspects following the "time is brain" concept. In many areas, stretched hospital emergency departments (ED) pushing towards pathways for admission avoidance, add further challenges by increasing the aim to manage as many as possible patients in the community. Especially those patients, who present as stroke-mimics to the EMS (patients with stroke like symptoms, that are not caused by a stroke) and patients with general symptoms like dizziness or confusion could be left behind under this pressure (Neves Briard, Zewude et al. 2018).
Further complicating is that not all acute stroke patients present with the classical face, arm (leg), speech abnormalities. Especially, women often show non-traditional stroke symptoms like the ubiquitous symptoms of altered mental status, headache, reduced consciousness, generally reduced condition or dizziness (Lisabeth, Brown et al. 2009, Girijala, Sohrabji et al. 2017, Bushnell, Howard et al. 2018, Carcel, Woodward et al. 2020, Patti and Gupta 2022, Shajahan, Sun et al. 2022). This makes the already challenging stroke diagnosis even more difficult.
Information available on gender inequality of prehospital and hyperacute stroke care is growing (Walter, Phillips et al. 2022). Some studies report patient-dependent delays as underlying factors for a later arrival at hospital (Mainz, Andersen et al. 2020), but more and more pieces of information point towards an additional impact of health system-caused sex inequity in prehospital stroke pathways. A drawback of many results is the analysis of hospital-confirmed stroke patient cohorts, which carry the selection bias of missing patients, who never got diagnosed as acute stroke victims (Volpe, Zuniga et al. 2023).
Sex-related inequality in prehospital assessment of stroke patients may have potentially devastating consequences. A very recent Australian population-based cohort study with more than 200,000 confirmed stroke patients with analysis of prehospital management, identified that women, especially those younger than 70 years of age, were less likely than men to receive immediate stroke assessment despite their more frequent admission to hospital by ambulance, which is known to be an important initiating factor for rapid specialist care (Wang, Carcel et al. 2022). In the same study, it could be identified that women with stroke were more often assessed for headache, anxiety and emotional distress and, therefore, did not receive prehospital stroke care according to standard EMS protocols. A Californian state-wide database analysis of \>300,000 patients identified that the probability for women to get correctly identified as suspected stroke patients in the prehospital setting was 26% lower and this was likely caused by the different clinical presentations (Govindarajan, Friedman et al. 2015). No information about any resulting differences in the subsequent acute stroke treatment, like e.g. administration rates of recanalising therapies was analysed.
A systematic metanalysis of 21 observational studies with nearly 7,000 stroke patients focused on the type of symptom as a most important factor for correct prehospital diagnosis. More than a quarter of all stroke patients missed by the prehospital teams presented with non-classical symptoms (Jones, Bray et al. 2021). In a very recent study with more than 5000 acute stroke patients in Sweden, Magnusson and co-authors identified that patients correctly identified as stroke suspects in the prehospital setting less frequently had a decreased level of consciousness, which is a common non-traditional stroke symptom in women. Most importantly, they found that identification of a stroke diagnosis at the emergency site was not only associated with an earlier arrival at a stroke unit and increased rate of acute stroke recanalising treatments, but also with a lower risk of death during 3 months of follow-up (Magnusson, Herlitz et al. 2022).
Data available for hyperacute treatment access vary by country. A German nationwide cohort analysis with \>1 million patients identified a higher probability of men receiving stroke unit treatment (OR, 1.11; 95% CI, 1.09-1.12) with a lower in-hospital mortality (OR, 0.91; 95% CI, 0.89-0.93) compared to women (Weber, Krogias et al. 2019). However, IVT treatment numbers were similar in this study and more women received endovascular treatment (EVT). A Swedish analysis confirmed significantly lower numbers of women receiving stroke unit care in their cohort (Dahl, Hjalmarsson et al. 2020). In contrast to the German analysis, the American Get-With-The-Guidelines-Stroke registry identified female sex as a risk factor for not receiving IVT in their retrospective cohort analysis of acute ischaemic stroke patients, arriving at hospital within 2 hours after symptom onset (Messe, Khatri et al. 2016).
Evidence addressing differences in prehospital stroke care mostly comes from single countries and cohort studies of confirmed acute stroke patients, not always focused on sex differences. Therefore, these analyses often contain a certain population selection bias, which may influence their sex-related results. So far, no multi-national analysis has been performed investigating both, prehospital and hospital-diagnosed stroke patients with regards to sex differences. Additionally, it is likely that equity in prehospital stroke treatment strongly depends on the quality of stroke education of EMS staff, and this varies between countries and regions. However, there is only scarce information available directly addressing the awareness of EMS clinicians for sex differences in stroke presentation, while this is a fundamental part of EMS education for myocardial infarcts.
Studies are needed to gain more information about the current knowledge of EMS clinicians about varying stroke symptoms and to identify differences in management not only in hospital cohorts, but also in patients with prehospital stroke diagnosis. These are first steps for change and towards the development an adjusted educational programme, which can help to tackle potential sex inequities.
Scientific relevance and socioeconomic impact of the research project Research data indicates existing management inequity in prehospital stroke care, which could carry over to in-hospital pathways and subsequent access to high quality stroke treatment. Little to no data is available which addresses sex inequities in prehospital treatment and the role EMS clinicians play in this.
This knowledge gap must be closed as women show a higher stroke incidence and prevalence than men (incidence 6.44 million to 5.79 million; prevalence 56.4 million to 45.0 million (Collaborators 2021). This implies an ethical need to understand and tackle potential inequalities. This also bears a huge socio-economic relevance. A recent meta-analysis identified costs per patient per year of up to $84,900 for e.g. haemorrhagic stroke treatment in South Korea and life time costs of up to $232,100 in Australia (Strilciuc, Grad et al. 2021), emphasising the financial relevance of optimised access to high quality stroke care to every member of the society. In addition, a recent Canadian population-based cohort analysis identified that care costs for complex continuing care, long-term care, and home care after stroke were higher in women than men, adding to the monetary burden of the disease (Yu, Krahn et al. 2021).
The traditional view that symptom presentation and treatment is the same across sex is slowing down to preventing the establishment of equity in care. As of now, no study has collected information about existing sex differences in prehospital stroke care in multiple countries combined with an analysis of existing knowledge among prehospital and emergency staff.
The proposed project would be the first multinational cohort study to address and analyse such differences in prehospital stroke pathways. Patients treated in the years 2024 and 2025 will be analyzed either retrospectively or prospectively.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
OTHER
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Dispatch centre suspected stroke patients
Patients with dispatch centre suspected acute stroke diagnosis, who therefore had a code stroke dispatch
No interventions assigned to this group
Patients with EMS on scene suspected acute stroke diagnosis
Patients for which the EMS at the emergency side suspects an acute stroke diagnosis and deliver the EMS stroke protocol treatment.
No interventions assigned to this group
Patients with hospital confirmed acute stroke diagnosis
Patient who received a final hospital diagnosis of stroke after full diagnostic work-up.
No interventions assigned to this group
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Adults aged 18 years of age and older
* Emergency call to the national emergency telephone number because of acute symptoms
* EMS treatment
For cohort 1:
\- Working diagnosis of acute stroke or TIA raised by the emergency medical dispatch centre
For cohort 2:
\- Working diagnosis of acute stroke or TIA raised by the EMS personnel at the emergency site
For cohort 3:
\- Hospital confirmed diagnosis of acute stroke or TIA
Exclusion Criteria
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
East of England Ambulance Service NHS Trust
OTHER_GOV
Norwegian Air Ambulance Foundation
OTHER
Glasgow Caledonian University
OTHER
Assiut University
OTHER
The George Institute
OTHER
Hospital de Clinicas de Porto Alegre
OTHER
Hospital Israelita Albert Einstein
OTHER
University Of Perugia
OTHER
University "Ss Cyril and Methodius", North Macedonia
UNKNOWN
115 People's Hospital
OTHER_GOV
Selçuk University
UNKNOWN
Copenhagen University Hospital, Denmark
OTHER
National University Hospital, Singapore
OTHER
Kwame Nkrumah University of Science and Technology, Ghana
UNKNOWN
Catholic University of Health and Allied Sciences, Mwanza, Tansania
UNKNOWN
Universität des Saarlandes
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Saarland University
Homburg, , Germany
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
SESAME_137/2024
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.