ArticlePloS one2024
Changes in urgent and emergency care activity associated with COVID-19 lockdowns in a sub-region in the East of England: Interrupted times series analyses.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Factors associated with persistent high use of emergency departments: a nationwide retrospective cohort study.BMJ open · 2026Article
- Shifting patterns in emergency department attendance: a time series analysis.Emergency medicine journal : EMJ · 2026Article
- The Association Between Access Block And Ambulance Ramping, And The Impact of COVID-19: A Retrospective Observational Cohort Study of 25 Queensland Hospitals.The Medical journal of Australia · 2026Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccess to and use of urgent and emergency care in the United Kingdom's National Health Service reduced during COVID-19 related lockdowns but demand reportedly increased since then. We investigated the impact of COVID-19 on urgent and emergency health care services activity in an eastern England population of 1.1 million.
methodsWe used health care activity data from a municipal health department, recorded at the level of discrete events (such as visits to hospital or ambulance calls) to compare system activity between 2018-2020 (pre-COVID), 2020-2021 (lockdown) and 2021-2023 (post-lockdown), carrying out interrupted time series analyses to describe changes in activity.
resultsDaily emergency department (ED) attendances were 10% (95% confidence interval 9-12%) lower during the lockdown period, and 7% (6-8%) higher in the post-lockdown period than pre-COVID. Attendances arriving by ambulance were 13% (12-14%) lower post-lockdown than pre-COVID, while attendances of arrivals by other means were 17% (16-19%) higher. Post-lockdown, overall attendances were continually reducing. ED waiting times were 45% (44-47%) longer in the post-lockdown period compared to the pre-COVID period and continued to increase post-lockdown. There was a 15% (14-16%) reduction in daily ambulance dispatches post-lockdown versus pre-COVID. Ambulance arrivals with delayed handover to hospital care exceeding 60 minutes increased by 17% (16-18%) post-lockdown versus pre-COVID, and probability of delay showed a continuously upward trend post-lockdown of 20% (19-21%) per year.
conclusionPatients are facing long waits in EDs to be admitted to hospital, discharged or transferred. This results in delays in ambulances handing over patients and attending to other calls, which may explain decreasing rates of ambulance dispatches. Potential solutions are likely to involve enhancing the flow through and discharge of patients from hospital, and a whole systems approach which considers the capacity of the local health and care infrastructure, including intermediate care and social care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.