Evidence map›Paper›PMID 41565331›Full record

ArticleBMJ open2026

Understanding acute vertigo in emergency care in a large London teaching hospital: patient and physician perspectives on diagnostic challenges and digital support.

Elvira Cortese, Angus I G Ramsay, Nehzat Koohi, Diego Kaski

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Elvira CorteseSENSE Research Unit, Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London, UK.ORCID http://orcid.org/0000-0002-6547-2194
Angus I G RamsayDepartment of Behavioural Science and Health, University College London, London, UK.ORCID http://orcid.org/0000-0002-4446-6916
Nehzat KoohiSENSE Research Unit, Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London, UK.
Diego KaskiSENSE Research Unit, Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London, UK d.kaski@ucl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute vertigo is a common but diagnostically challenging presentation in emergency departments (EDs), where rapid distinction of life-threatening conditions-like stroke-is critical. Patient and clinician perspectives are often overlooked, and real ED needs and possibilities remain poorly understood. While smartphone-based clinical decision support tools (CDSTs) show promise, evidence on required features for trust and adoption is limited. The UK's 2025 10-Year Health Plan highlights digital innovation and AI in urgent care, underscoring the need to address these gaps.

objectiveTo explore the experiences of emergency physicians and patients with acute vertigo during the diagnostic process; identify real-world challenges, needs and opportunities within the ED setting; and assess participants' perceptions of the acceptability of implementing a smartphone-based decision-support tool (CDST) to aid in acute vertigo diagnosis.

designQualitative study using semi-structured interviews and reflexive thematic analysis.

settingEmergency Department of University College London Hospitals NHS Foundation Trust (UCLH), UK.

participants10 emergency physicians with experience in managing acute vertigo and 10 patients who had recently presented to the ED with symptoms of acute vertigo.

resultsThe analyses identified challenges and needs when diagnosing acute vertigo in the ED and participants' views on future smartphone-based CDST development to assist the diagnostic process. Clinicians emphasised diagnostic complexity, limited training and system-level constraints-like lack of space, time and resources-as major challenges. Patients emphasised the need for better communication and clearer diagnostic pathways. Both groups saw potential in smartphone-based CDSTs to improve diagnostic efficiency and accuracy by offering structured assessments and helping clinicians identify serious conditions.

conclusionsThis study offers insights into real-world constraints of diagnosing acute vertigo in the ED. Findings suggest that aligning CDST design with clinical workflows, user trust and environmental realities may facilitate adoption and impact in emergency care settings.

Indexed as

Attitude of Health PersonnelDecision Support Systems, ClinicalEmergency Service, HospitalPhysiciansVertigoAcute DiseaseAdultAgedDigital HealthEmergency Room VisitsFemaleHospitals, TeachingHumansInterviews as TopicLondonMaleACCIDENT & EMERGENCY MEDICINEClinical Decision-MakingNeurotologyQUALITATIVE RESEARCHStroke medicine

Identifiers

PMID41565331
PMCPMC12829394

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.