Skip to main content

Prehospital neurological emergencies– a survey on the state of prehospital neurological assessment by emergency medical professionals

Abstract

Background

Neurological emergencies are one of the major diagnosis groups in the Emergency Medical Services (EMS) with the highest rate of misdiagnosis. Despite the knowledge of time sensitivity and the importance of prehospital factors, prehospital delay is common. Although several stroke triage scales have been developed, a gold standard in the prehospital setting is lacking.

Objectives

Our aim was to evaluate the perception of neurological emergencies by EMS personnel and to identify current problems, difficulties and opportunities for improvement in the prehospital management of stroke, seizure, non-specific neurological symptoms, and paediatric neurological emergencies.

Methods

The study was conducted as an online survey through SoSci Survey and was made available from March 1st to June 30th 2023 to all personnel working in emergency medical services. The access link was distributed through snowballing, social media, and through a QR code on a promotional poster. The survey was completed anonymously. The final survey consisted of 30 questions in German on the topics of neurological emergencies, general neurological assessment, specific neurological examination including paediatric assessment, stroke, and seizures, and finally suggestions for improvement.

Results

The largest group of participants were paramedics, who estimated to encounter neurological emergencies at a general rate of 20–60%. When unease was felt, the main reasons were ambiguity of symptoms and insufficient admission capacity of hospitals. The biggest challenges were highly varied. Almost 80% of participants assumed that the neurological assessment would be omitted in difficult patient groups such as demented, intoxicated or children. 75% felt uncomfortable making a paediatric assessment, 50% were unfamiliar with the Paediatric Glasgow Coma Scale.

Conclusions

Support through more standardized practical training and defined, uniform guidelines is needed. There was also a clear need for peer collaboration, feedback and case sharing. Digitalization, the usage of telemedicine and updated versions of the documentation protocols including paediatric adaptations to current guidelines could further improve current neurological assessment in the prehospital setting.

Peer Review reports

Introduction

The main symptom and diagnosis groups in Emergency Medical Services (EMS) include neurological, cardiovascular, pulmonary, and trauma, with a recent trend showing an increase in non-specific diagnoses [1,2,3]. However, the lowest agreement between prehospital and discharge diagnoses by emergency physicians, at 80%,has been observed for neurological disorders, and the same rate of agreement was found for paramedics in neurological emergencies [4, 5]. Diagnosis in neurological emergencies is known to be time-sensitive, particularly in the triage of stroke [6,7,8,9,10,11].

Despite the critical time frame, a prehospital delay of up to 73% was observed [9]. This delay results in a significant majority of patients not receiving the indicated thrombolytic therapy, leading to an increased risk of death [7, 12]. The reasons described in literature are multifactorial, and include contextual and behavioural factors, with a focus on the deficiencies in the recognition of neurological emergencies by medical professionals [7, 9, 12, 13].

The problem of stroke detection is a major topic in the field of prehospital neurological assessment research, with a multitude of different scales being developed [6]. For stroke-specific screening there stroke-detection scales, such as FAST (BE-FAST, FAST-ED, G-FAST) or the Cincinnati Prehospital Stroke Scale (CPSS), and there are stroke-severity scales, such as the 3-item stroke scale (3I-SS), the Austrian Prehospital Stroke Scale (APSS) and the Rapid Arterial Occlusion Evaluation scale (RACE).The shortened National Institute of Health Stroke Scale for EMS (sNIHSS-EMS) has been designed to include detection and severity [6]. Additionally, there are scales for assessing consciousness, such as the Full Outline of UnResponsiveness (FOUR) or the Glasgow Coma Scale (GCS) [6]. However, a neglected and emerging area is the practicability and the teaching of these scores in a prehospital setting due to the absence of a gold standard [14, 15].

Few reasons have been identified for the misdiagnosis of neurological emergencies, but the difficulty of obtaining a medical history for example from elderly or neurologically impaired patients has been described as a major factor [4]. Possible solutions for the initial diagnosis have focused on public education and the management by hospital emergency physicians rather than EMS-providers [16]. There are even fewer publications addressing the prehospital management of non-stroke neurological emergencies, including common but unspecific symptoms such as headache, dizziness, weakness, and seizures in adults or children [16]. It is known that the prehospital management can influence patient outcome and mortality, which is true for seizures as it is for cerebrovascular emergencies [17, 18]. In general, the need for specific training and the importance of a two-way communication with neurological specialists have been identified for paramedics [18, 19].

Our aim was to assess the perception of neurological emergencies by EMS personnel and to identify current problems, difficulties and opportunities for improvement in the prehospital management of stroke, seizure, non-specific neurological symptoms, and paediatric neurological emergencies. We considered it necessary to not only include the commonly discussed stroke triage but also the practice of neurological assessment prior to the diagnosis, management, and evaluation of seizures, modifications for paediatric patients, and documentation.

Methods

Study design

This study was conducted as an online survey on neurological assessment in a prehospital setting. The survey was available for four months, from March 1st to June 30th, 2023, and was open to all personnel working in EMS. The survey was conducted in German using the SoSci Survey online tool Version 3.4.17 (SoSci Survey GmbH, Munich, Germany). The survey link (https://webext.mh-hannover.de/soscisurvey/neuro-rd/) was distributed through snowball sampling, social media, and a QR code on promotional posters. These posters were displayed at the entrance to the emergency department and in the emergency rooms of a German tertiary care hospital (Supplementary Data 2).Participants were informed about the study’s purpose, data storage, and security before starting the questionnaire. Consent was obtained digitally, with participation being voluntary and anonymous,, and no compensation was provided. It was possible to skip questions, except for indicating the type of work in the EMS.

Questionnaire development

The questionnaire was developed by an interdisciplinary team of emergency physicians and neurologists from a level I trauma centre. The English translation of the German version is provided as Supplementary Data 1. Items were individually identified based on the current documentation protocol, [20]. algorithms and assessment tools for paramedics and emergency physicians, [6, 21, 22]. current literature, [23,24,25,26,27]. and personal experience in the prehospital environment.

The final questionnaire comprised 30 items, categorized into basic demographics, neurological emergencies, general neurological assessment, specific neurological examination including paediatric assessment, prehospital stroke assessment, seizure management, and practicality of current documentation with suggestions for improvement.

Demographic items were nominal. Depending on the type of question, items were designed as six-point Likert-Scales ranging (e.g. from “very secure” to “very insecure”), as nominal scales for frequency distribution or as dichotomous scales (Yes/No with the alternative “I don’t know / not specified”). Finally, some items were based on a free-text responses.

Statistical analysis

The statistical analysis of frequencies and distribution was performed using SPSS Statistics 28.0 (IBM, Armonk, New York, USA). All responses were included in the analysis.

Results

During the four-month period there were 760 visits to the survey. 319 participants completed the first mandatory question, and 201 participants completed all pages. Of the 319 participants, paramedics were the largest group 41%. Emergency Medical Technicians (EMT) were represented with 38%, and emergency physicians with 6%. Other participants included paramedics in training, paramedics who graduated before 2013, and nurses specialising in emergency medicine. About a third (32.6%) of the participants had been working in EMS for less than three years, 25% between 3 and 5 years, and 38% more than 5 years. The main type of emergency vehicle was an ambulance with 78%. The second largest group was the emergency physician’s vehicle with 14%. The rescue helicopter and mobile intensive care unit were represented with 4%. See Table 1. Basic Demographic Data.

Table 1 Basic Demographic Data of 319 participants. EMS = Emergency Medical services

In general, over 90% of participants estimated that they encounter neurological emergencies about 20–40% of all callouts. 8% even estimated a higher frequency of over 60% of the time. Less than 10% and none of the emergency physicians felt at unease when confronted with a neurological emergency. Reasons were given in free text, with the majority feeling uncomfortable because of ambiguous or unclear systems and complex and varied neurological diagnoses. The other main reason was lack of capacity and refusal of hospitals to admit patients, which did not guarantee rapid care. Other reasons were lack of expertise and uncomprehensive medical history. (Table 2. Subjective assessment of the prehospital neurological examination process)

The biggest challenge in neurological emergencies was answered in free text form. 25% named the differentiation between ischaemic stroke and intracranial haemorrhage as the biggest challenge. For less than 20%, the biggest challenge was respectively unclear unconsciousness, and status epilepticus. For another 10% or less, the answer was unclear vertigo or traumatic brain injury. Other responses (< 5%) were headache, transient ischaemic attack, focal deficits, acute episodes of chronic diseases, intoxication, psychiatric emergencies, meningitis or encephalitis, dementia, paediatric emergencies, and unknown symptoms.

Almost 90% of participants felt confident in carrying out a neurological assessment. More than 90% reported having a neurological assessment scheme they can use. However, only three quarters were familiar with standard operating procedures for the neurological assessment. See Table 2. Subjective assessment of prehospital neurological examination process.

Table 2 Subjective assessment of prehospital neurological examination process

In terms of general neurological assessment, over 80% of participants considered the FAST score (face, arms, Speech, Time) or facial expressions and speech individually, as well as GCS, orientation, medical history and pupillary light response to be the most important items. Other items (see table 3) were less frequently considered relevant to the general neurological examination in a prehospital setting. This is consistent with the frequency of assessment of patient’s orientation. Almost 95% of the participants reported to assess orientation regularly. As for the pupillary light response more than 95% of the participants paid most attention to the size, isocoria and direct light reflex. Shape of and consensual light reflex were of secondary importance. See table 3. General neurological assessment.

Table 3 General neurological assessment. GCS = Glasgow Coma Scale

And although general neurological assessment appears to be routine, participants estimated that in > 75% the assessment is forgone in difficult patient groups, such as demented patients, intoxicated patients, or children. Less than 50% of participants confirmed that they knew how to perform a neurological examination in patients with altered consciousness, in the subgroup of emergency physicians the number was > 90%. The majority with > 70% felt insecure about performing a paediatric neurological assessment. In addition, only half of participants were familiar with the paediatric Glasgow Coma Scale and would change their approach for assessing children.

Responses to the questions about seizures were mostly uniform. > 90% knew the difference between focal and generalised seizures. Almost 90% knew how to distinguish between a seizure and a status epilepticus. Not uniformly answered was the question whether every seizure should be treated. See Table 4. Neurological Assessment in specific groups.

Table 4 Neurological Assessment in specific groups

The questionnaire also asked about four specific stroke assessment scales. The FAST test was used by more than half of the participants and was known by more than 80%. The Cincinnati Prehospital Scale, the Rapid arterial occlusion evaluation and other tests such as the National Institute of Health Stroke Scale were known by less than 15% and used by less than 10%. In the subgroup analysis for stroke severity scales 23% of emergency physicians vs. 8% of paramedics and EMTs used the RACE scale. Stroke detection with the FAST test was used equally often by physicians and paramedics. Interestingly, the isolated parameters of the FAST test such as speech, limb motor function and facial symmetry were considered relevant in over 90% of participants. Less relevant, with < 85% were coordination, responsiveness and consciousness. Sensory function and oculomotor function were considered less important in stroke assessment and general neurological examination. Other items added were glucose level, breathing pattern, balance, and visual acuity (BE-FAST or Gaze-FAST), nystagmus and ocular deviation. See table 5. Specific Stroke Assessment.

Table 5 Specific stroke assessment

Finally, we asked the remaining active participants (N = 197) if they considered a neurological assessment in a prehospital setting useful, and almost all participants agreed. 30% experienced poor correlation between assessment and documentation. The documentation form was considered adequate by almost 80%. The free text suggestions for improvement included the paediatric Glasgow Coma Scale, update / addition for stroke triage (e.g. NIHSS, BE-FAST) and other scores or even acronyms such as PERRLA (pupils, equal, round, reactive to light, accommodation), inclusion of (peripheral) sensitivity, inclusion of aphasia, amnesia and orientation, and a defined field for callback numbers of family members. The majority suggested a larger space for free-form documentation or the change to electronic documentation. Over 75% of participants clearly expressed a desire for more training. See table 6. Current documentation and future perspectives.

Table 6 Current documentation and future prospects

For the last question of the questionnaire, we left room for non-default answers. When asked what type of support was considered useful for further improvement, 30% responded. Of these, the majority focused on standardized practical training involving all EMS-personnel. Almost 20% felt that consistent, defined, and uniform guidelines and algorithms were necessary for further improvement. Around 10% considered peer feedback and collaboration to be most useful. 5% or less responded with the need to improve and update protocols including the lack of paediatric assessment, telephone support, implementation of digitalization and regular case discussions.

Discussion

In our survey, participants encountered neurological emergencies in 20 to 40% of dispatches. Only a minority of participants felt uncomfortable with neurological cases, which was attributed not only to the wide range of neurological conditions or incomplete medical histories, but also to the lack of hospital admission capacity and resulting discussions and refusal of care. The free-text replies revealed a high frustration levels due to hospitals frequently refusing care. The impact of hospital capacities on the care of patients with acute neurological conditions has not yet been sufficiently reflected in literature [28].

Most participants were confident in performing a neurological assessment using a personal scheme. They claimed to be able to differentiate between a focal and generalized seizure and to distinguish between a seizure and a status epilepticus. However, nearly 80% admitted to shortening their assessment or not performing it at all in difficult patient groups, such as demented elderly patients, intoxicated patients, or paediatric patients. Moreover, 60% of participants did not know how to examine patients with impaired consciousness, and only half were familiar with the paediatric adaptation of the Glasgow Coma Scale. This aligns with the highest discrepancy between prehospital and clinical diagnoses being found in neurological disorders [4]. The acute management of difficult patient groups with non-specific symptoms and the need for increased detection of non-convulsive status epilepticus in acutely comatose patients have been recognized but lack feasible solutions [29,30,31].

The absence of a “gold standard” in prehospital management of neurological patients leads to high individual and regional variability, complicating the design of appropriate practical training [15]. Many researchers propose to have found the best option for prehospital triage, reflected in a plethora of prehospital stroke scales [24, 32, 33]. In our survey, the most widely known and used was the FAST score and its add-ons (BE-FAST or G-FAST). Other scores were known by only a minority of participants and used by even less. To simplify prehospital management, one potential improvement could be incorporating the score with the highest validation and practicality into documentation protocols, requiring identified items for triage to be checked even if the score itself is not known [6, 34].

Participants suggested adding a validated stroke scale and updating the current simple FAST test to include balance and ocular changes. Eye assessment was felt to be under-represented with the current items “pupil size” and “direct light response”. Additionally, the need for items such as amnesia and the Paediatric Glasgow Coma Scale was clearly stated. Our survey revealed a low correlation between the performed assessment and the final documentation. Updating documentation protocols could address this gap. However, without validation and definitive standards for neurological assessment schemes in a prehospital setting, optimizing protocols is challenging [35]. In addition, speech recognition for documentation could shorten the time spent on prehospital documentation, allowing more focus on patient care [36]. Practical training is essential for the implantation of theoretical knowledge and assessment scales. A significant increase in knowledge and communication skills has been reported with simulation-enhanced learning for acute stroke patients [37]. This approach is beneficial for more than just acute stroke cases. The availability of continuing education offers more knowledge, increasing the safety and comfort of EMS personnel [25].

Differentiating between an ischaemic stroke and an intracranial haemorrhage was identified by the majority as the biggest challenge. This challenge is reflected in a wide range of research focusing on portable, non-invasive technologies, including near-infrared spectroscopy, transcranial ultrasound, electroencephalography, microwave tomographic imaging, volumetric impedance spectroscopy, portable CT and cranial accelometry [38, 39]. While current commercial products do not yet reflect these technological advances, they have the potential to improve prehospital times and diagnostic accuracy, ultimately improving outcomes for patients with intracranial haemorrhage by enabling selection of the appropriate hospital for treatment [40, 41].

In addition to technological diagnostic tools, there is emerging research on point-of-care testing for prehospital distinction between ischaemic and haemorrhagic stroke [42, 43]. This differentiation is important for target hospital selection, emphasizing the need for neurological centres with appropriate treatment options for both stroke types.

Participants identified various challenges beyond stroke, including paediatric patients, trauma, vertigo, headache, isolated focal deficits, infectious diseases affecting the nervous system, intoxication, psychiatric emergencies, acute flare-ups of chronic diseases and unclear or unknown symptoms. There are existing tools for prehospital triage with a focus on stroke, trauma, general undifferentiated patients and children, but they are not without limitations and lack homogenous recommendations [29, 44]. Advances in telecommunication, and digital documentation could provide reliable neurological assessments [45,46,47]. Implementation new technologies and evidence-based algorithms is urgently needed to address current challenges [48].

Limitations.

This study relies on voluntary participation, which my introduce bias. Additionally, the lack of a call to complete the study may have resulted in a decrease in data quantity towards the end of the survey. Another limitation was the availability of only one language during the study, resulting in a regional bias. Further research should be conducted with broader availability of the survey to reduce regional bias.

Conclusion

Participants in our survey suggested more standardized practical training, continuing education with uniform guidelines and algorithms for all EMS personnel, not just emergency physicians. Moreover, the need for peer collaboration, feedback, and case sharing was emphasized. Digitalisation, telemedicine, and updated documentation protocols, including paediatric adaptations to accommodate current guidelines, were considered important. To conclude, we would like to quote the responses of two of our participants: “How about using the age of technology and digitalization. There are probably a thousand ways for support and improve in the prehospital environment. But we are writing on paper and driving around with broken and old cars and systems.” And “The relevance can only be recognized when the fundamentals are understood”.

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. Wijesekera O, Reed A, Chastain PS, et al. Epidemiology of Emergency Medical Services (EMS) utilization in four Indian emergency departments. Prehosp Disaster Med. 2016;31:675–9.

    Article  PubMed  Google Scholar 

  2. Christensen EF, Larsen TM, Jensen FB, et al. Diagnosis and mortality in prehospital emergency patients transported to hospital: a population-based and registry-based cohort study. BMJ Open. 2016;6:e011558.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Christensen EF, Dahl Bendtsen M, Larsen TM, et al. Trends in diagnostic patterns and mortality in emergency ambulance service patients in 2007 – 2014: a population-based cohort study from the North Denmark Region. BMJ Open. 2017;7:14508.

    Article  Google Scholar 

  4. Heuer JF, Gruschka D, Crozier TA, et al. Accuracy of prehospital diagnoses by emergency physicians. Eur J Emerg Med. 2012;19:292–6.

    Article  PubMed  Google Scholar 

  5. Koivulahti O, Tommila M, Haavisto E. The accuracy of preliminary diagnoses made by paramedics - a cross-sectional comparative study. Scand J Trauma Resusc Emerg Med. 2020;28:1–7.

    Article  Google Scholar 

  6. Budinčević H, Meštrović A, Demarin V. Stroke scales as Assessment Tools in Emergency settings: a narrative review. Med 2022. 2022;58:58: 1541.

    Google Scholar 

  7. Bouckaert M, Lemmens R, Thijs V. Reducing prehospital delay in acute stroke. Nat Rev Neurol. 2009;5:477–83.

    Article  PubMed  Google Scholar 

  8. Magnusson C, Herlitz J, Sunnerhagen KS, et al. Prehospital recognition of stroke is associated with a lower risk of death. Acta Neurol Scand. 2022;146:126–36.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Revathi S, Kavitha M, Shankar V. Factors Associated with Prehospital Delay in patients with Acute Stroke in South India. Indian J Community Med. 2023;48:82–90.

    Article  CAS  PubMed  Google Scholar 

  10. Tsivgoulis G, Saqqur M, Sharma VK, et al. Timing of recanalization and functional recovery in Acute ischemic stroke. J Stroke. 2020;22:130.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Hasan TF, Todnem N, Gopal N, et al. Endovascular thrombectomy for Acute ischemic stroke. Curr Cardiol Rep. 2019;21:1–12.

    Article  Google Scholar 

  12. Soto-Cámara R, González-Santos J, González-Bernal J et al. Factors associated with shortening of prehospital delay among patients with acute ischemic stroke. J Clin Med; 8. Epub ahead of print 1 October 2019.

  13. Fladt J, Meier N, Thilemann S et al. Reasons for Prehospital Delay in Acute ischemic stroke. J Am Heart Assoc; 8. Epub ahead of print 15 October 2019.

  14. Venema E, Duvekot MHC, Lingsma HF et al. Prehospital triage of patients with suspected stroke symptoms (PRESTO): Protocol of a prospective observational study. BMJ Open; 9. Epub ahead of print 1 July 2019.

  15. Larsen K, Hov MR, Sandset EC. Prehospital stroke scales-the need for a gold standard in the field. Acta Neurol Scand. 2022;145:263–4.

    Article  PubMed  Google Scholar 

  16. Pope P J V., Edlow JA. Avoiding misdiagnosis in patients with neurological emergencies. Emerg Med Int. 2012;2012:1–10.

  17. Donoso-Calero MI, Martín Conty JL, López-Izquierdo R et al. Prehospital seizures: short-term outcomes and risk stratification based in point-of-care testing. Eur J Clin Invest; 53. Epub ahead of print 1 October 2023.

  18. Noorian AR. Prehospital EMS Triage for Acute Stroke Care. Semin Neurol. 2021;41:415–8.

    Google Scholar 

  19. Karliński M, Kozera-Strzelińska D, Sienkiewicz-Jarosz H, et al. Reliability of prehospital diagnosis of acute cerebrovascular accident. Neurol Neurochir Pol. 2022;56:89–95.

    Article  PubMed  Google Scholar 

  20. Sefrin P. Das neue ‘dIVI-Notfall-Protokoll’ 1. Notarzt 2011; 27: 195–196.

  21. Arbeitsgemeinschaft in Norddeutschland Tätiger Notärzte. AGNN-Therapieempfehlungen für die Notfallmedizin. Lübeck: Schmidt-Römhild, https://d-nb.info/1025175492 (2022, accessed 6 August 2023).

  22. NUN Algorithmen. 2022 V1.1 – Landesausschuss Rettungsdienst, https://lard-nds.de/download/nun-algorithmen-2022/ (accessed 1 June 2023).

  23. Miami Emergency Neurologic Deficit (Mend) Prehospital Checklist. Seizure. 2001; 2001.

  24. Li S, Wang A, Zhang X, et al. Design and validation of prehospital acute stroke triage (PAST) scale to predict large vessel occlusion. Atherosclerosis. 2020;306:1–5.

    Article  CAS  PubMed  Google Scholar 

  25. Rogers CJ, Gausche-Hill M, Lee Brown L et al. Prehospital Emergency Provider’s knowledge of and Comfort with Pediatric and Special needs cases: A Cross-Sectional Study in Los Angeles County.

  26. Hobohm C, Michalski D. Neurologische Basisdiagnostik Im Rettungsdienst. Notfallmedizin up2date. 2015;10:257–68.

    Article  Google Scholar 

  27. Hawryluk GWJ, Lulla A, Bell R, et al. Guidelines for Prehospital Management of Traumatic Brain Injury 3rd Edition: executive Summary. Neurosurgery. 2023;93:e159–69.

    PubMed  Google Scholar 

  28. Adelman EE, Leppert MH. Neuro-hospitalist-hospital capacity strain impacting stroke care. Stroke. 2023;54:1390–1.

    Article  PubMed  Google Scholar 

  29. Bhaumik S, Hannun M, Dymond C et al. Prehospital triage tools across the world: a scoping review of the published literature. Scand J Trauma Resusc Emerg Med; 30. Epub ahead of print 1 December 2022.

  30. Millikan D, Rice B, Silbergleit R. Emergency treatment of status epilepticus: current thinking. Emerg Med Clin North Am. 2009;27:101–13. ix.

    Article  PubMed  Google Scholar 

  31. O’Kula SS, Hill CE. Improving quality of care for Status Epilepticus: putting protocols into practice. Curr Neurol Neurosci Rep 2024; 1–7.

  32. Dittmar MS, Vatankhah B, Horn M. Präklinische Neurologische untersuchung von schlaganfallpatienten - die Cincinnati Prehospital Stroke Scale. Notarzt. 2004;20:163–7.

    Article  Google Scholar 

  33. Suzuki K, Nakajima N, Kunimoto K, et al. Emergent large vessel occlusion screen is an ideal prehospital scale to avoid missing endovascular therapy in acute stroke. Stroke. 2018;49:2096–101.

    Article  PubMed  Google Scholar 

  34. Ramos A, Guerrero WR. Pérez De La Ossa N. Prehospital Stroke Triage. Neurology. 2021;97:S25–33.

    Article  PubMed  Google Scholar 

  35. Duvekot MHC, Venema E, Rozeman AD, et al. Comparison of eight prehospital stroke scales to detect intracranial large-vessel occlusion in suspected stroke (PRESTO): a prospective observational study. Lancet Neurol. 2021;20:213–21.

    Article  PubMed  Google Scholar 

  36. Shimazui T, Nakada T, aki, Kuroiwa S, et al. Speech recognition shortens the recording time of prehospital medical documentation. Am J Emerg Med. 2021;49:414–6.

    Article  PubMed  Google Scholar 

  37. Gordon DL, Issenberg SB, Gordon MS et al. Stroke training of prehospital providers: an example of simulation-enhanced blended learning and evaluation. Med Teach, 27(2), 114–21.

  38. Chennareddy S, Kalagara R, Smith C et al. Portable stroke detection devices: a systematic scoping review of prehospital applications. BMC Emerg Med; 22. Epub ahead of print 1 December 2022.

  39. Guo X, Dye J. October. Modern Prehospital Screening Technology for Emergent Neurovascular disorders. Adv Biol; 7. Epub ahead of print 1 2023.

  40. Walsh KB. Non-invasive sensor technology for prehospital stroke diagnosis: current status and future directions. Int J Stroke. 2019;14:592–602.

    Article  PubMed  Google Scholar 

  41. Ramos-Pachón A, Rodríguez-Luna D, Martí-Fàbregas J, et al. Effect of bypassing the Closest Stroke Center in patients with Intracerebral Hemorrhage: a secondary analysis of the RACECAT Randomized Clinical Trial. JAMA Neurol. 2023;80:1028–36.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Bustamante A, Penalba A, Orset C, et al. Blood biomarkers to differentiate ischemic and hemorrhagic strokes. Neurology. 2021;96:E1928–39.

    Article  CAS  PubMed  Google Scholar 

  43. Jickling GC, Wartenberg KE. Can biomarkers differentiate between ischemic and hemorrhagic stroke in the Prehospital setting? Neurology. 2021;96:689–90.

    Article  PubMed  Google Scholar 

  44. Zachrison KS, Nielsen VM, De La Ossa NP, et al. Prehospital Stroke Care Part 1: Emergency Medical services and the Stroke systems of Care. Stroke. 2023;54:1138–47.

    Article  PubMed  Google Scholar 

  45. Kandimalla J, Vellipuram AR, Rodriguez G et al. Role of Telemedicine in Prehospital Stroke Care. Curr Cardiol Rep; 23. Epub ahead of print 1 June 2021.

  46. Derry PJ, Mandava P, Kent TA. Telemedicine in Prehospital Acute Stroke Care: an expanding infrastructure for treatment and research. J Am Heart Assoc; 8. Epub ahead of print 19 March 2019.

  47. Smith SNC, Govindarajan P, Padrick MM, et al. A low-cost, tablet-based option for prehospital neurologic assessment. Neurology. 2016;87:19–26.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Richards CT, Oostema JA, Chapman SN, et al. Prehospital Stroke Care Part 2: On-Scene evaluation and management by Emergency Medical Services Practitioners. Stroke. 2023;54:1416–25.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Code of Conduct, Medical Association Lower Saxony. (01.05.2020) Berufsordnung der Ärztekammer Niedersachsen. https://www.aekn.de/fileadmin/inhalte/pdf/arzt-und-recht/berufsrecht-niedersachsen/BO_komplett_01052020.pdf (Accessed: 02 April 2024).

Download references

Acknowledgements

We thank all the voluntary participants for their time.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Open Access funding enabled and organized by Projekt DEAL.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization by V.B., C.M., D.R., Data curation: G.A., J.M., P.G., T.R., Supervision: C.M., Visualization and Design: V.B., Writing original draft: V.B., review and editing was done by all authors. All authors reviewed and agreed to the final version of the manuscript.

Corresponding author

Correspondence to Vesta Brauckmann.

Ethics declarations

Ethics approval and consent to participate

Before starting the online questionnaire, participants were informed about the purpose, data storage and security. Digital (written) informed consent was obtained for all participants. The participation without consent was not possible. The survey was voluntary, and participants received no compensation. The online questionnaire was completed anonymously and no personal information was collected. The need for ethics approval was deemed not necessary according to the national regulation, § 15 of the code of conduct of the medical association of Lower Saxony, Germany [49].

Consent for publication

Not applicable. Supplementary data 2. does not show a patient, nor patient data. The figure shows author V.B. with consent for publication.

Patient and public involvement statement

The access link for the study was publicly distributed through snowballing, social media and through a QR code on a promotional poster.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Supplementary Material 2

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Brauckmann, V., Ratuszny, D., Gräff, P. et al. Prehospital neurological emergencies– a survey on the state of prehospital neurological assessment by emergency medical professionals. BMC Emerg Med 24, 164 (2024). https://doi.org/10.1186/s12873-024-01076-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12873-024-01076-w

Keywords