Evidence map›Paper›PMID 41448886›Full record

ArticleEmergency medicine journal : EMJ2026

Evaluating the impact of NHS strikes on patient flow through emergency departments.

Alex Garner, Quin Ashcroft, Dale William Kirkwood, Vishnu Chandrabalan, Hedley Emsley, Suzanne M Mason, Nancy Preston, Jo Knight

Abstract read
In one paragraph

Article in Emergency medicine journal : EMJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Observational
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

8 authors.

Alex GarnerLancaster Medical School, Lancaster University Faculty of Health and Medicine, Lancaster, Lancashire, UK a.garner2@lancaster.ac.uk.ORCID http://orcid.org/0000-0002-4689-8827
Quin AshcroftLancaster Medical School, Lancaster University Faculty of Health and Medicine, Lancaster, Lancashire, UK.
Dale William KirkwoodLancashire Teaching Hospitals NHS Foundation Trust, Preston, Lancashire, UK.
Vishnu ChandrabalanLancaster Medical School, Lancaster University Faculty of Health and Medicine, Lancaster, Lancashire, UK.
Hedley EmsleyLancaster Medical School, Lancaster University Faculty of Health and Medicine, Lancaster, Lancashire, UK.
Suzanne M MasonSchool of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-1701-0577
Nancy PrestonInternational Observatory on End of Life Care, Lancaster University, Lancaster, UK.ORCID http://orcid.org/0000-0003-2659-2342
Jo KnightLancaster Medical School, Lancaster University Faculty of Health and Medicine, Lancaster, Lancashire, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince December 2022, the National Health Service (NHS) has experienced large-scale strikes by staff. The NHS cancels approximately 12 million elective care appointments each year, and around 1 million elective appointments were cancelled due to strikes between 2022 and 2024. During strikes, emergency care is prioritised, and it has been claimed that emergency departments (EDs) run 'better than usual'. The aim of this study was to investigate changes in patient flow into hospitals through the ED during the strike periods.

methodsCox proportional hazards modelling was applied to data from two different EDs in the north-west of England to model time between patient arrival at the ED and their subsequent admission. Systematic (linear temporal trend, yearly seasonality, daily seasonality, weekends, ED 'heat') and patient/presentation-level factors (urgency, service referred to, patient age, ethnicity and gender) were controlled for. The impact of different striking professions on patient time to admission was investigated using HRs, where a higher HR indicated faster admission.

resultsOver the analysis period, we observed 61 separate strike days: 40 junior doctor strike days, 11 nursing days, 10 consultant days and 7 ambulance days. Junior doctor and consultant strikes coincided on 4 days. For the type 1 ED, median time to see a clinician was similar on strike and non-strike days (median 2 hours 27 min on strike days (IQR: 1 hour 2 min to 4 hours 53 min), 2 hours 27 min on non-strike days (IQR: 1 hour 5 min to 5 hours 14 min)). Patients were admitted through the ED more quickly on both the junior doctor and consultant strike days compared with non-strike days (HRs: 1.12, 1.28, both p≤0.001). This increased flow was only seen while consultants were striking in the type 2 smaller ED.

conclusionsThese findings suggest that the improved patient flow observed on strike days could be driven by the additional inpatient capacity created through the postponement of elective care. This result indicates that NHS hospital systems could potentially be adjusted to enhance turnaround times and reduce ED crowding.

Indexed as

Emergency Service, HospitalAdultAgedCrowdingEfficiency, OrganizationalEnglandFemaleHumansMaleMiddle AgedProportional Hazards ModelsState MedicineTime FactorsEfficiencyObservational StudyOperationsRoutinely Collected Health DataStatistics

Identifiers

PMID41448886
PMCPMC13018738

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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.