Evidence map›Paper›PMID 38811986›Full record

ArticleBMC medical informatics and decision making2024

Video support for prehospital stroke consultation: implications for system design and clinical implementation from prehospital simulations.

Stefan Candefjord, Magnus Andersson Hagiwara, Bengt Arne Sjöqvist, Jan-Erik Karlsson, Annika Nordanstig, Lars Rosengren, Hanna Maurin Söderholm

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. LiVE-STROKE: live video from bystander to the medical dispatcher in potential stroke cases.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Stefan CandefjordDepartment of Electrical Engineering, Chalmers University of Technology, Gothenburg, 412 96, Sweden. stefan.candefjord@chalmers.se.
Magnus Andersson HagiwaraCenter for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, University of Borås, Borås, 501 90, Sweden.
Bengt Arne SjöqvistDepartment of Electrical Engineering, Chalmers University of Technology, Gothenburg, 412 96, Sweden.
Jan-Erik KarlssonDepartment of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Annika NordanstigDepartment of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Lars RosengrenDepartment of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Hanna Maurin SöderholmPICTA Prehospital Innovation Arena, Lindholmen Science Park, Gothenburg, Sweden.

Funding

VINNOVA 2017-02418
6 · The paper itself

Abstract

backgroundVideo consultations between hospital-based neurologists and Emergency Medical Services (EMS) have potential to increase precision of decisions regarding stroke patient assessment, management and transport. In this study we explored the use of real-time video streaming for neurologist-EMS consultation from the ambulance, using highly realistic full-scale prehospital simulations including role-play between on-scene EMS teams, simulated patients (actors), and neurologists specialized in stroke and reperfusion located at the remote regional stroke center.

methodsVideo streams from three angles were used for collaborative assessment of stroke using the National Institutes of Health Stroke Scale (NIHSS) to assess symptoms affecting patient's legs, arms, language, and facial expressions. The aim of the assessment was to determine appropriate management and transport destination based on the combination of geographical location and severity of stroke symptoms. Two realistic patient scenarios were created, with severe and moderate stroke symptoms, respectively. Each scenario was simulated using a neurologist acting as stroke patient and an ambulance team performing patient assessment. Four ambulance teams with two nurses each all performed both scenarios, for a total of eight cases. All scenarios were video recorded using handheld and fixed cameras. The audio from the video consultations was transcribed. Each team participated in a semi-structured interview, and neurologists and actors were also interviewed. Interviews were audio recorded and transcribed.

resultsAnalysis of video-recordings and post-interviews (n = 7) show a more thorough prehospital patient assessment, but longer total on-scene time, compared to a baseline scenario not using video consultation. Both ambulance nurses and neurologists deem that video consultation has potential to provide improved precision of assessment of stroke patients. Interviews verify the system design effectiveness and suggest minor modifications.

conclusionsThe results indicate potential patient benefit based on a more effective assessment of the patient's condition, which could lead to increased precision in decisions and more patients receiving optimal care. The findings outline requirements for pilot implementation and future clinical tests.

Indexed as

Emergency Medical ServicesStrokeVideo RecordingHumansNeurologistsPatient SimulationReferral and ConsultationRemote ConsultationDecision supportDigital healthPrehospital careSimulationsStrokeVideo

Identifiers

PMID38811986
PMCPMC11138054

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.