Evidence map›Paper›PMID 34025752›Full record

ArticleJournal of the Intensive Care Society2021

Equity of access to critical care services in Scotland: A Bayesian spatial analysis.

Philip Emerson, David R Green, Steve Stott, Graeme Maclennan, Marion K Campbell, Jan O Jansen

Abstract read
In one paragraph

Article in Journal of the Intensive Care Society, 2021. 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. Review
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

6 authors.

Philip EmersonUniversity of Aberdeen, Aberdeen, UK.ORCID https://orcid.org/0000-0002-1253-8700
David R GreenDepartment of Geography and Environment, University of Aberdeen, Aberdeen, UK.
Steve StottDepartment of Critical Care Medicine, Aberdeen Royal Infirmary, Aberdeen, UK.
Graeme MaclennanHealth Services Research Unit, University of Aberdeen, Aberdeen, UK.
Marion K CampbellHealth Services Research Unit, University of Aberdeen, Aberdeen, UK.
Jan O JansenDivision of Acute Care Surgery, University of Alabama at Birmingham, Birmingham, USA.ORCID https://orcid.org/0000-0001-8863-4398

Funding

Chief Scientist Office HSRU1
6 · The paper itself

Abstract

backgroundThere is increasing evidence that access to critical care services is not equitable. We aimed to investigate whether location of residence in Scotland impacts on the risk of admission to an Intensive Care Unit and on outcomes.

methodsThis was a population-based Bayesian spatial analysis of adult patients admitted to Intensive Care Units in Scotland between January 2011 and December 2015. We used a Besag-York-Mollié model that allows us to make direct probabilistic comparisons between areas regarding risk of admission to Intensive Care Units and on outcomes.

resultsA total of 17,596 patients were included. The five-year age- and sex-standardised admission rate was 352 per 100,000 residents. There was a cluster of Council Areas in the North-East of the country which had lower adjusted admission rates than the Scottish average. Midlothian, in South East Scotland had higher spatially adjusted admission rates than the Scottish average. There was no evidence of geographical variation in mortality.

conclusionAccess to critical care services in Scotland varies with location of residence. Possible reasons include differential co-morbidity burden, service provision and access to critical care services. In contrast, the probability of surviving an Intensive Care Unit admission, if admitted, does not show geographical variation.

Indexed as

Bayesian disease modellinggeographyhealthcare disparitiesHealth equitysystems of care

Identifiers

PMID34025752
PMCPMC8120572

What OpenQuestion holds

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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.