Use of App for Stroke Assessment VS Standard Level of Care During Prehospital Stroke Assessment
- Conditions
- Stroke, Acute
- Registration Number
- NCT06672757
- Lead Sponsor
- Naestved Hospital
- Brief Summary
In Denmark, 12,000 people experience a stroke every year. It is the fourth largest cause of death, and costs 4,6 billion Danish crowns in healthcare expenses and lost work income. It is also the leading cause of acquired disability for adults. Pre-hospital recognition of stroke is paramount to ensure fast and correct treatment for patients, in turn leading to better outcomes for patients. As the advanced treatment for ischemic stroke, thrombolysis and thrombectomy, is time-sensitive, even short delays in recognition and treatment can have a large effect on the individual stroke patient.
Paramedics on scene have only a few tools to assist them in recognizing stroke, where clinical scales such as the National Institutes of Health Stroke Scale (NIHSS), Face Arm Speech Time (FAST) or Prehospital Stroke Score (PRESS ) are most commonly used. Despite the use of such instruments, patients with stroke still go unrecognized, and as a result, the unrecognized patient might not be hospitalized, be hospitalized in a hospital without stroke facilities or be hospitalized too late for advanced treatment. Lower quality of communication between paramedics and the stroke centre significantly increases prehospital on-scene time. In a consensus statement from the European Academy of Neurology (EAN) and the European Stroke Organisation (ESO), training paramedics to recognise symptoms of all stroke types was strongly recommended. This study aims to explore whether trained paramedics using a mobile application with NIHSS and video communication to the in-hospital stroke physician may improve triage of acute stroke patients. This intervention will be compared to paramedics using standard procedure and communication through regular channels. It is hypothesized that the number of patients brought to the emergency department with suspected acute stroke and discharged with a stroke diagnosis is significantly higher in the app-group (intervention) compared to standard prehospital model (control).
- Detailed Description
1. Background 1.1 Stroke In Denmark, 12,000 people experience a stroke every year. It is the fourth largest cause of death, and costs 4,6 billion Danish crowns in healthcare expenses and lost work income. It is also the leading cause of acquired disability for adults.
Pre-hospital recognition of stroke is paramount to ensure fast and correct treatment for patients, in turn leading to better outcomes for patients. As the advanced treatment for ischemic stroke, thrombolysis and thrombectomy, is time-sensitive, even short delays in recognition and treatment can have a large effect on the individual stroke patient. Paramedics on scene have only a few tools to assist them in recognizing stroke, where clinical scales such as the National Institutes of Health Stroke Scale (NIHSS), Face Arm Speech Time (FAST) or Prehospital Stroke Score (PRESS ) are most commonly used. Despite the use of such instruments, patients with stroke still go unrecognized, and as a result, the unrecognized patient might not be hospitalized, be hospitalized in a hospital without stroke facilities or be hospitalized too late for advanced treatment.
A combination of early prehospital identification of stroke, triage to the right level of care and improvement of in-hospital measures to reduce door-to-needle time may result in more patients receiving acute treatment. Lower quality of communication between paramedics and the stroke centre significantly increases prehospital on-scene time. In a consensus statement from the European Academy of Neurology (EAN) and the European Stroke Organisation (ESO), training paramedics to recognise symptoms of all stroke types was strongly recommended.
This study aims to explore whether trained paramedics using a mobile application with NIHSS and digital communication may improve triage of acute stroke patients and ensure the standardised transfer of critical patient data to the in-hospital stroke physician. This intervention will be compared to paramedics using standard procedure with PRESS and communication through regular channels.
Investigators hypothesize that the number of patients brought to the emergency department (ED) with suspected acute stroke and discharged with a stroke diagnosis is significantly higher in the app-group (intervention) compared to standard prehospital model (control).
1.1.1 Incidence and mortality In Denmark, 17.647 patients were registered in 2020 with the diagnosis of Stroke and Transient ischemic attack (TIA) according to the national Danish stroke database DanStroke. Costs of Stroke are expected to increase by 44% by 2040 in Europe. A major part of stroke costs is due to post-stroke need of care due to loss of independency. Acute Stroke revascularization treatment using medical thrombolysis or mechanical endovascular treatment is a critical time-dependent situation as increasing time from symptom onset to start of treatment increases independency for patients post-stroke. Every minute there is a loss of approximately 2 MIO brain cells, hence the term "Time is Brain", and corresponds to more loss of independency in clinical outcome with increasing time from onset of symptoms
1.2 Prehospital assessment of patients with suspected stroke 1.2.1 The potential importance of prehospital assessment A combination of early prehospital identification of stroke, triage to the right level of care and improvement of in-hospital measures to reduce door-to-needle time may result in more patients receiving acute treatment. Lower quality of communication between paramedics and stroke centre significantly increases prehospital on-scene time. As mentioned, the European Academy of Neurology (EAN) and the European Stroke Organisation (ESO) strongly recommend training paramedics to recognise symptoms of all stroke types.
1.3 Current evidence concerning videoassisted prehospital assessment of patients with suspected stroke 1.3.1 Randomized clinical trials PubMed was searched with the search terms "prehospital stroke scales", "prehospital NIHSS", "non-physician NIHSS", "prehospital stroke assessment", "NIHSS in LVO", and "mobile stroke units". The focus was on studies reporting randomised controlled trials, stepped-wedge cluster randomised trials, clinical trials, and cohort studies as well as systematic reviews and meta-analyses of prehospital stroke care. A recent randomised trial, the ParaNASPP trial explored prehospital NIHSS as a common language in the acute stroke chain. This trial showed that introducing prehospital NIHSS with direct communication to the stroke physician, improved care by reducing in-hospital time to CT and by increasing prehospital identification of patients with low NIHSS and subtle symptoms. However, it did not increase diagnostic accuracy.
Another study, the PASTA trial, explored the implementation of a structured protocol and checklists for paramedic stroke assessment to increase thrombolytic rates in a randomised control design. The PASTA checklist was based on structured handover and clinical assessment with a face, arm, speech, time (FAST) test, and concluded that paramedic training in FAST alone did not significantly influence treatment rate. These prehospital stroke scales are usually modified versions of the National Institutes of Health Stroke Scale (NIHSS) and their main purpose is to enable identification of patients with large vessel occlusions (LVOs), eligible for endovascular thrombectomy.
In the PRESTO trial, Duvecot et al. compared the accuracy of eight prehospital stroke scales in detecting LVOs. Since LVOs occur in at most 30% of the general stroke population, most patients have non-LVO stroke with a heterogeneous symptom presentation. The NIHSS is the scale of choice for identification of both LVO and non-LVO strokes. Our literature search did not find any prehospital studies focusing on non-LVO symptoms in minor to moderate strokes. Several in-hospital conducted cohort and inter-rater agreement studies on the NIHSS have shown high levels of agreement when used by non-physicians. No studies considered whether prehospital NIHSS could be implemented in a large-scale prehospital system; however, promising results were presented in cohort studies from the helicopter emergency medical service and mobile stroke units. The prehospital NIHSS studies had poor methodological robustness because of their small sample size and non-randomised design.
1.5 Current practice Currently, paramedics meeting a patient with suspected stroke assess the patients with the PRESS-scale and when deemed necessary the comprehensive stroke centre is contacted, and a teleconference between paramedics and the attending neurologist is initiated. In case of suspected and prehospitally confirmed stroke suspicion, the patient is transported to the comprehensive stroke centre in Roskilde for further evaluation and treatment.
If a stroke is identified at the hospital, it is registered in The Danish Stroke Registry (DanStroke).
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 1200
- A. Suspected stroke by paramedic or dispatcher
- Technical issues (ie. the telephone does not work, the app does not work).
- Patients who are incarcerated
- Patients seen by a physician prior to assessment by paramedics.
- Subarachnoid Haemorrhage strokes
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SEQUENTIAL
- Primary Outcome Measures
Name Time Method Prehospital recognition of stroke From enrollment to patient admission upto 6 hours The primary outcome will be prehospital recognition of stroke by paramedics, quantified as the proportion of patients discharged with a final stroke diagnosis who are accepted for stroke evaluation by the neurologist at the neurovascular centre.
- Secondary Outcome Measures
Name Time Method Time on scene From enrollment to the admission upto 6 hours Time spent on-scene is a key metric for the evaluation of prehospital health services. Less time spent on scene is directly correlated with time to hospital admittance, presuming correct triage of the patient. As this study introduces a potential delaying factor in the use of an app and the performance of a full NIHSS evaluation, this metric is key to evaluating whether this new initiative is a net positive for patients with stroke.
Change in 90-day neurological outcome measured by the modified rankin scale (mRS) 90 days after admission The 90-day neurological outcome is important, as this outcome reflects the degree of disability experienced by the patient, and thereby the recovery from stroke. If this study leads to faster and more accurate diagnoses and treatment, investigators to see this reflected in the 90 day-neurological outcome.
Neurological outcome is measured by the modified rankin scale (mRS), a clinical scale to measure the degree of disability or dependence in daily activities of people who have had a stroke or other neurological diseases. It ranges from 0 (no symptoms) to 6 (death). The mRS is the standard scale for evaluating the patients degree of disability post-stroke, and is available as part of the DanStroke registry data for all patients.Door-to-scanner time From enrollment to the admission upto 12 hours Investigators theorise that the availability of a reliable NIHSS score as well as the video material from the evaluation of the patient will enable the neurologist at the neurovascular centre to make faster assessment, which could lead to reduced door-to-scanner times.
Trial Locations
- Locations (1)
Emergency Medical Services
🇩🇰Naestved, Denmark