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

Bayesian disease modelling Health equity geography healthcare disparities systems of care

Journal

Journal of the Intensive Care Society
ISSN: 1751-1437
Titre abrégé: J Intensive Care Soc
Pays: England
ID NLM: 101538668

Informations de publication

Date de publication:
May 2021
Historique:
entrez: 24 5 2021
pubmed: 25 5 2021
medline: 25 5 2021
Statut: ppublish

Résumé

There 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. This 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. A 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. Access 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.

Sections du résumé

BACKGROUND BACKGROUND
There 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.
METHODS METHODS
This 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.
RESULTS RESULTS
A 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.
CONCLUSION CONCLUSIONS
Access 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.

Identifiants

pubmed: 34025752
doi: 10.1177/1751143720914462
pii: 10.1177_1751143720914462
pmc: PMC8120572
doi:

Types de publication

Journal Article

Langues

eng

Pagination

127-135

Subventions

Organisme : Chief Scientist Office
ID : HSRU1
Pays : United Kingdom

Informations de copyright

© The Intensive Care Society 2020.

Déclaration de conflit d'intérêts

Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Références

Stat Med. 2000 Sep 15-30;19(17-18):2217-41
pubmed: 10960849
Crit Care Med. 2016 Jan;44(1):3-13
pubmed: 26672922
Am J Respir Crit Care Med. 2016 Jul 15;194(2):198-208
pubmed: 26815887
Soc Psychiatry Psychiatr Epidemiol. 2004 Dec;39(12):947-54
pubmed: 15583901
N Engl J Med. 2014 Dec 11;371(24):2331-2
pubmed: 25494273
Stat Methods Med Res. 2011 Feb;20(1):49-68
pubmed: 20547586
Crit Care. 2012 Dec 12;16(2):218
pubmed: 22546146
PLoS One. 2016 Nov 29;11(11):e0166933
pubmed: 27898697
Intensive Care Med. 2015 Nov;41(11):1895-902
pubmed: 26239728
Lancet. 2015 Feb 26;385 Suppl 1:S33
pubmed: 26312855
Geospat Health. 2016 May 31;11(2):428
pubmed: 27245803
J Epidemiol Community Health. 2004 Aug;58(8):655-8
pubmed: 15252067
Crit Care Med. 1985 Oct;13(10):818-29
pubmed: 3928249
Crit Care Med. 2006 May;34(5):1378-88
pubmed: 16557153
BMC Anesthesiol. 2014 Dec 15;14:116
pubmed: 25544831
Int J Health Geogr. 2017 Dec 16;16(1):47
pubmed: 29246157
Int J Health Geogr. 2007 Nov 29;6:54
pubmed: 18045503

Auteurs

Philip Emerson (P)

University of Aberdeen, Aberdeen, UK.

David R Green (DR)

Department of Geography and Environment, University of Aberdeen, Aberdeen, UK.

Steve Stott (S)

Department of Critical Care Medicine, Aberdeen Royal Infirmary, Aberdeen, UK.

Graeme Maclennan (G)

Health Services Research Unit, University of Aberdeen, Aberdeen, UK.

Marion K Campbell (MK)

Health Services Research Unit, University of Aberdeen, Aberdeen, UK.

Jan O Jansen (JO)

Division of Acute Care Surgery, University of Alabama at Birmingham, Birmingham, USA.

Classifications MeSH