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OpenTrials
Completed

NCT Number: NCT02191514

Prehospital Management of Stroke Patients by Emergency Medical Services

Annually 12.000 people i Denmark suffer from a stroke. Treatment for ischemic stroke is available, but only 12% of stroke patients receive it.

The treatment is only available within a time frame of 4,5 hours from symptom onset, thus the Emergency Medical Services (EMS) is essential to fast and effective stroke treatment.

The aim of this study is:

1. To establish the rate of recognition of stroke symptoms by healthcare personnel in the EMD, ultimately aiming at optimizing performance, and identifying barriers for a fast and correct EMS-response. 2. To assess prehospital time consumption by ambulance personnel on the scene of a stroke, create a baseline for future comparison and generate explorative hypotheses for forthcoming interventions.

The overall aim of this study is, to ensure the best possible prehospital care for all stroke patients. The study will determine, if the EMD is at a high and international level in regards to stroke recognition, and if there is a potential to decrease on-scene time. This will serve as future comparison and have an effect on the structure and future education in the prehospital services, and potentially improve the outcome after acute ischemic stroke.

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Key information

Sex eligibility

All sexes

Study type

Observational

Primary location

EMS Copenhagen

Copenhagen, Ballerup, 2750, Denmark

About this study

Background:

Approximately 12.000 strokes occur in Denmark annually. The only evidence based pharmacological treatment of ischemic stroke is thrombolysis within a time-window of 4.5 hours from symptom onset(1). In 2012, 12% of patients with ischemic stroke in Denmark received thrombolysis treatment. The probability of a favourable 3-month outcome after stroke decreases with time from symptom onset to thrombolysis: the onset to needle time(2). Therefore, it is of the highest importance to identify potential targets for prehospital time reduction, and thereby reduce delay to definitive care.

Prompt recognition of stroke symptoms by both the EMD and ambulance personnel is a crucial step, as it provides access to fast track acute stroke services. In this context, the role of the EMS is essential, as contact to the hospital through EMS opposed to private transport is correlated to decreased onset-to-door time (3). EMS prenotification of the stroke centre is correlated to shorter door-to-evaluation time, door-to-needle time and onset-to-needle time(4). In Denmark EMS prenotification in acute stroke is well established.

According to Danish guidelines for treatment of acute stroke and transient ischaemic attack (TIA), prehospital diagnosis of stroke is improved by use of validated tests. No such is yet implemented in the Capital Region of Denmark.

Preliminary data shows that the mean time from the ambulance personnel arrives at the scene to they start the transport to the hospital ("on scene time") is 18 minutes in the Capital Region of Denmark. American guidelines suggest that on-scene-time should be less than 15 minutes in all cases (unless extenuating circumstances or extrication difficulties are present)(1), however the organisation of stroke care between Scandinavia and USA varies largely.

The aim of this study is:

  • To establish the rate of recognition of stroke symptoms by healthcare personnel in the EMD, ultimately aiming at optimizing performance, and identifying barriers for a fast and correct EMS-response.
  • To assess prehospital time consumption by ambulance personnel on the scene of a stroke, create a baseline for future comparison and generate explorative hypotheses for forthcoming interventions.

The study consists of 3 arms:

  • An epidemiological analysis of prospectively collected data from a 2-year period, in order to establish the rate of identification of stroke symptoms by healthcare personnel in the EMD.
  • A quantification and statistical analysis of on-scene-time in stroke patients, based on prospectively collected data from a registration form filled out by the ambulance personnel after responding to a stroke. The focus of the form is on time spent on predefined tasks aiming at assessing time consumption on the scene, and generating explorative hypotheses for forthcoming interventions.
  • Based on EMS data, the investigators will establish a baseline for on-scene-time and transportation time in patients admitted by fast track stroke service during a 6 months period, for future comparison and analyse data in conjunction with in-hospital delays.

Method for each arm:

  • The epidemiological analysis is based on prospectively collected data from the Danish Stroke Registry (DSR) and the National Patient Registry (NPR). In the DSR and NPR, ICD-10-codes are linked to the Danish personal identification number, a unique number for every Danish citizen. The investigators shall compare ICD-10 codes from DSR and NPR with dispatch codes from the EMS database, to determine the amount of diagnosed stroke patients recognized during the emergency call. The date of the incident report from the EMS will be matched with the admission date correlated to the discharge ICD-10 code, in case a patient has been admitted more than once.
  • To quantify and analyse prehospital time consumption, the investigators will develop a registration form for the ambulance personnel to fill out after responding to a stroke patient.

This registration form will include registration of time intervals spent on:

  • Clinical tasks; including prior medical history, clinical examination and measurement of vital parameters
  • Communication in relation to prenotification of the stroke centre
  • Mobilization of the patient and on-scene conditions
  • Patient preparation; including IV-accesses and 12-lead ECG

As well as information regarding:

  • Patient preparation; including IV-accesses and 12-lead ECG
  • Language/communication barriers
  • Specifications of the ambulance (operator, level of education)
  • Patient/relative related conditions
  • Visitation to acute stroke fast track

Statistical analyses:

Poisson regression analyses will be made with over dispersion taken into account, in order to identify specific time intervals and tasks correlated to extended or decreased total on-scene-time. This model yields distributions similar to previously collected data.

A power calculation has been made, based on this distribution and the assumption that a clinically relevant difference, is defined as any time interval in cases considered as having a high on-scene-time, (>15 min.) being twice the amount than in cases considered as having a low on-scene-time (≤15 min.). This has shown an estimated demand of 500 registration forms in order to achieve a power of 0,8 with a 5% two-sided confidence interval.

  • The establishment of on-scene-times and transportation-times will be made by extracting specific time points (e.g. ambulance arrival at the scene, departure towards hospital and arrival at hospital) from the EMS database during a 6 months period, and analysed in conjunction with data on in-hospital delays.

The stroke centres will provide Danish personal identification numbers for patients referred to the stroke centres as well as door-to-needle times and treatment decisions in order to determine if there is a correlation be-tween recognition and treatment decisions in stroke fast track patients.

As there is no prior comparable registration of this, it is impossible to estimate a clinically relevant difference in order to make a power calculation and determine the amount of necessary registrations. Thus it has been decided that a 6-month registration will provide a reliable baseline. To avoid bias, the registration of this variable, will start after the end of the registration form period.

The overall aim of this study is, to ensure the best possible prehospital care for all stroke patients. The study will determine, if the EMD is at a high and international level in regards to stroke recognition, and if there is a potential to decrease on-scene time. This will serve as future comparison and have an effect on the structure and future education in the prehospital services, and potentially improve the outcome after acute ischemic stroke.

Distribution of responsibilities:

Søren Viereck; Medical student, University of Copenhagen; research employee/project manager: Literature search data analysis, development and evaluation of registration form for ambulance personnel, first draft of paper (planned 1. author) and fundraising.

Thea Palsgaard Møller; MD; Research fellow, Emergency Medical Services Copenhagen: Data extraction and supervision on data analysis, critical review of results.

Karl Bang Christensen: Associate Professor, Department of Biostatistics, University of Copenhagen: Critical review of protocol, supervision on statistical analyses, critical review of results.

Hanne Christensen; Senior Stroke Neurologist & Associate Professor, MD, PhD, DMSci, Department of Neurology, Bispebjerg Hospital, University of Copenhagen: Supervision, critical review of protocol, provision of data, supervision of data-analysis, critical review of results

Helle Klingenberg Iversen, MD, Senior Stroke Neurologist & associate professor Department of Neurology, Glostrup Hospital, University of Copenhagen: Supervision, critical review of protocol, provision of data, supervision of data-analysis, critical review of results.

Freddy Lippert; CEO, Emergency Medical Services in the Capital Region of Denmark; Associate professor, University of Copenhagen: Supervision, critical review of protocol, provision of data, supervision of data-analysis, critical review of results and overall clinical and scientific responsibility,

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Part 1.

Inclusion criteria

  • All patients are included if registered in Danish Stroke Registry with an ICD-10 code of stroke (haemorrhagic and ischemic - I61 and I63-64.9), in the National Patient Registry with an ICD-10 code of TIA (Transient Ischemic Attack - G45.9) or in the Emergency Medical Services-database with a dispatch code of suspected stroke (A.26.03, A.26.04) from the 2-year period 01-01-2012 - 12-31-2013.

Exclusion criteria

  • Patients are excluded if the Danish personal identification number is not available in either database. If the patient has been directly referred to the hospital by their general practitioner without the use of a EMS transport, or they have presented themselves in the emergency room, they will not be registered in the EMS database.

Part 2.

Inclusion criteria

  • Patients with suspected stroke where the EMS has been in contact with fast track stroke service at the stroke centre are included.

Exclusion criteria

  • Incomplete forms will be excluded.

Part 3.

Inclusion criteria

  • All patients with a Danish personal identification number, referred to one of the two regional stroke centres, during a 6-month period will be included. The 6 month period will begin after the above mentioned 500 registration form has been collected, to avoid bias.

Exclusion criteria

  • none

Treatment and study plan

Primary outcomes

  1. The rate of acute stroke recognized by the EMD during the emergency call (sensitivity).

    Time frame: 01.01.2012 - 12.31.2013 (up to 24 months)

  2. Time from dispatch to ambulance arrival at the scene of accident in stroke fast track patients.

    Time frame: Up to 6 month period after collection of registration forms (expected 01.01.2015-06.30.2015)

  3. Time on scene by EMS in stroke fast track patients (on-scene-time).

    Time frame: Up to 6 month period after collection of registration forms (expected 01.01.2015-06.30.2015)

  4. Time from departure from the scene of the accident to arrival at the stroke centre in stroke fast track patients.

    Time frame: Up to 6 month period after collection of registration forms (expected 01.01.2015-06.30.2015)

Secondary outcomes

  1. Final diagnoses(ICD-10), in patients with a dispatch code of stroke, but another final diagnosis (false positive).

    Time frame: 01.01.2012 - 12.31.2013 (up to 24 months)

  2. Dispatch codes, in patients with a final diagnosis of acute stroke, but another dispatch code (false negative).

    Time frame: 01.01.2012 - 12.31.2013 (up to 24 months)

  3. The positive predictive values of stroke recognition by healthcare personnel at the EMD.

    Time frame: 01.01.2012 - 12.31.2013 (up to 24 months)

  4. The proportion of patients with a final diagnosis of stroke, who accessed the healthcare system through the EMS.

    Time frame: 01.01.2012 - 12.31.2013 (up to 24 months)

  5. Prehospital time compared to in-hospital time in stroke fast track patients.

    Time frame: Up to 6 month period after collection of registration forms (expected 01.01.2015-06.30.2015)

  6. Recognition of stroke by EMD in relation to treatment decisions in stroke fast track patients

    Time frame: Up to 6 month period after collection of registration forms (expected 01.01.2015-06.30.2015)

Other outcomes

  1. On-scene-time in relation to time-point of performing 12-lead ECG

    Time frame: Up to 12 months.

    Will the time-point of performing 12-lead ECG (e.g. prior to departure) affect the on-scene-time?

  2. On-scene-time in relation to quality of communication during prenotification of the stroke centre.

    Time frame: Up to 12 months.

    Will the quality of the communication during prenotification of the stroke centre, affect on-scene time?

  3. On-scene-time in relation to ambulance operator

    Time frame: Up to 12 months.

    Will it affect on-scene-time, what company that operates the ambulance?

  4. On-scene-time in relation to visitation to stroke fast track service

    Time frame: Up to 12 months.

    Will it affect the on-scene time, whether or not the patient is visitated to stroke fast track service?

  5. On-scene-time in relation time-point of providing IV-accesses

    Time frame: Up to 12 months.

    Will the time-point of providing IV-accesses affect the on-scene time?

  6. On-scene-time in relation to relatives being on the ambulance

    Time frame: Up to 12 months.

    Will it affect on-scene-time if relatives are accompanying the patient in the ambulance?

  7. On-scene-time in relation to patients vomiting

    Time frame: Up to 12 months.

    Will it affect on-scene-time if a patient vomits?

  8. Total on-scene-time in relation to specific time-intervals (se description)

    Time frame: Up to 12 months.

    This composite measure will determine if any of the following time-intervals are related to on-scene time.

    • Clinical tasks; including prior medical history, clinical examination and measurement of vital parameters
    • Communication in relation to prenotification of the stroke centre
    • Mobilization of the patient and on-scene conditions
    • Patient preparation; including IV-accesses and 12-lead ECG
  9. On-scene-time in relation to ambulance manning

    Time frame: Up to 12 months.

    Will it affect on-scene-time, what manning that is on the ambulance?

Sponsors and collaborators

Lead sponsor

Emergency Medical Services, Capital Region, Denmark

Other Gov

Collaborators

  • Bispebjerg Hospital
  • Glostrup University Hospital, Copenhagen
  • TrygFonden, Denmark
  • University of Copenhagen

Registry information

Official study title

Prehospital Management of Stroke Patients by Emergency Medical Services - an Evaluation of Emergency Medical Dispatch and Ambulance Personnel.

Important dates

Study start
2014
Primary completion
2015
Study completion
2015
First posted
Jul 16, 2014
Registry last updated
Jan 5, 2016

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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