Evidence map›Paper›PMID 33937732›Full record

ArticleEClinicalMedicine2021

Variability in COVID-19 in-hospital mortality rates between national health service trusts and regions in England: A national observational study for the Getting It Right First Time Programme.

William K Gray, Annakan V Navaratnam, Jamie Day, Pratusha Babu, Shona Mackinnon, Ini Adelaja, Sam Bartlett-Pestell, Chris Moulton, Cliff Mann, Anna Batchelor and 14 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Observational
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  7. Observational
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  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Trends of in-hospital and ICU mortality in COVID-19 patients over the fourth and fifth COVID-19 surges in Iran: a retrospective cohort study from Iran.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2022
    Article
  15. Mortality trends and length of stays among hospitalized patients with COVID-19 in Ontario and Québec (Canada): a population-based cohort study of the first three epidemic waves.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. 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

24 authors.

William K GrayGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Annakan V NavaratnamGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Jamie DayGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Pratusha BabuGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Shona MackinnonGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Ini AdelajaGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Sam Bartlett-PestellGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Chris MoultonGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Cliff MannGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Anna BatchelorGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Michael SwartGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Chris SnowdenGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Philip DyerGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Michael JonesGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Martin AllenGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Adrian HopperGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Gerry RaymanGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Partha KarGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Andrew WheelerGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Sue Eve-JonesGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Kevin J FongUniversity College Hospital, London, UK.
John T MachinGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.
Julia WendonKings College London, Kings College Hospital, London, UK.
Tim W R BriggsGetting It Right First Time programme, NHS England and NHS Improvement, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA key first step in optimising COVID-19 patient outcomes during future case-surges is to learn from the experience within individual hospitals during the early stages of the pandemic. The aim of this study was to investigate the extent of variation in COVID-19 outcomes between National Health Service (NHS) hospital trusts and regions in England using data from March-July 2020.

methodsThis was a retrospective observational study using the Hospital Episode Statistics administrative dataset. Patients aged ≥ 18 years who had a diagnosis of COVID-19 during a hospital stay in England that was completed between March 1st and July 31st, 2020 were included. In-hospital mortality was the primary outcome of interest. In secondary analysis, critical care admission, length of stay and mortality within 30 days of discharge were also investigated. Multilevel logistic regression was used to adjust for covariates.

findingsThere were 86,356 patients with a confirmed diagnosis of COVID-19 included in the study, of whom 22,944 (26.6%) died in hospital with COVID-19 as the primary cause of death. After adjusting for covariates, the extent of the variation in-hospital mortality rates between hospital trusts and regions was relatively modest. Trusts with the largest baseline number of beds and a greater proportion of patients admitted to critical care had the lowest in-hospital mortality rates.

interpretationThere is little evidence of clustering of deaths within hospital trusts. There may be opportunities to learn from the experience of individual trusts to help prepare hospitals for future case-surges.

Indexed as

CoronavirusCOVID-19MortalityUnwarranted variationVariability

Identifiers

PMID33937732
PMCPMC8072185

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.