Scottish Index of Multiple Deprivation (SIMD) indicators as predictors of mortality among patients hospitalised with COVID-19 disease in the Lothian Region, Scotland during the first wave: a cohort study.


Journal

International journal for equity in health
ISSN: 1475-9276
Titre abrégé: Int J Equity Health
Pays: England
ID NLM: 101147692

Informations de publication

Date de publication:
05 10 2023
Historique:
received: 22 11 2021
accepted: 18 09 2023
medline: 1 11 2023
pubmed: 5 10 2023
entrez: 4 10 2023
Statut: epublish

Résumé

Sars-CoV-2, the causative agent of COVID-19, has led to more than 226,000 deaths in the UK and multiple risk factors for mortality including age, sex and deprivation have been identified. This study aimed to identify which individual indicators of the Scottish Index of Multiple Deprivation (SIMD), an area-based deprivation index, were predictive of mortality. This was a prospective cohort study of anonymised electronic health records of 710 consecutive patients hospitalised with Covid-19 disease between March and June 2020 in the Lothian Region of Southeast Scotland. Data sources included automatically extracted data from national electronic platforms and manually extracted data from individual admission records. Exposure variables of interest were SIMD quintiles and 12 indicators of deprivation deemed clinically relevant selected from the SIMD. Our primary outcome was mortality. Age and sex adjusted univariable and multivariable analyses were used to determine measures of association between exposures of interest and the primary outcome. After adjusting for age and sex, we found an increased risk of mortality in the more deprived SIMD quintiles 1 and 3 (OR 1.75, CI 0.99-3.08, p = 0.053 and OR 2.17, CI 1.22-3.86, p = 0.009, respectively), but this association was not upheld in our multivariable model containing age, sex, Performance Status and clinical parameters of severity at admission. Of the 12 pre-selected indicators of deprivation, two were associated with greater mortality in our multivariable analysis: income deprivation rate categorised by quartile (Q4 (most deprived): 2.11 (1.20-3.77) p = 0.011)) and greater than expected hospitalisations due to alcohol per SIMD data zone (1.96 (1.28-3.00) p = 0.002)). SIMD as an aggregate measure of deprivation was not predictive of mortality in our cohort when other exposure measures were accounted for. However, we identified a two-fold increased risk of mortality in patients residing in areas with greater income-deprivation and/or number of hospitalisations due to alcohol. In areas where aggregate measures fail to capture pockets of deprivation, exploring the impact of specific SIMD indicators may be helpful in targeting resources to residents at risk of poorer outcomes from Covid-19.

Sections du résumé

BACKGROUND
Sars-CoV-2, the causative agent of COVID-19, has led to more than 226,000 deaths in the UK and multiple risk factors for mortality including age, sex and deprivation have been identified. This study aimed to identify which individual indicators of the Scottish Index of Multiple Deprivation (SIMD), an area-based deprivation index, were predictive of mortality.
METHODS
This was a prospective cohort study of anonymised electronic health records of 710 consecutive patients hospitalised with Covid-19 disease between March and June 2020 in the Lothian Region of Southeast Scotland. Data sources included automatically extracted data from national electronic platforms and manually extracted data from individual admission records. Exposure variables of interest were SIMD quintiles and 12 indicators of deprivation deemed clinically relevant selected from the SIMD. Our primary outcome was mortality. Age and sex adjusted univariable and multivariable analyses were used to determine measures of association between exposures of interest and the primary outcome.
RESULTS
After adjusting for age and sex, we found an increased risk of mortality in the more deprived SIMD quintiles 1 and 3 (OR 1.75, CI 0.99-3.08, p = 0.053 and OR 2.17, CI 1.22-3.86, p = 0.009, respectively), but this association was not upheld in our multivariable model containing age, sex, Performance Status and clinical parameters of severity at admission. Of the 12 pre-selected indicators of deprivation, two were associated with greater mortality in our multivariable analysis: income deprivation rate categorised by quartile (Q4 (most deprived): 2.11 (1.20-3.77) p = 0.011)) and greater than expected hospitalisations due to alcohol per SIMD data zone (1.96 (1.28-3.00) p = 0.002)).
CONCLUSIONS
SIMD as an aggregate measure of deprivation was not predictive of mortality in our cohort when other exposure measures were accounted for. However, we identified a two-fold increased risk of mortality in patients residing in areas with greater income-deprivation and/or number of hospitalisations due to alcohol. In areas where aggregate measures fail to capture pockets of deprivation, exploring the impact of specific SIMD indicators may be helpful in targeting resources to residents at risk of poorer outcomes from Covid-19.

Identifiants

pubmed: 37794428
doi: 10.1186/s12939-023-02017-y
pii: 10.1186/s12939-023-02017-y
pmc: PMC10552319
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

205

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : I211116-1060
Pays : United Kingdom

Investigateurs

Atul Anand (A)
Kathy Harrison (K)
Ally Hume (A)
Catriona Waugh (C)
Catherine Stables (C)
Chloe Brook (C)
Chris Duncan (C)
David Homan (D)
Erin Cadger (E)
Ioanna Lampaki (I)
Jennifer Daub (J)
Jilly McKay (J)
Neil Murray (N)
Ronnie Harkess (R)
Shedrack Ezu (S)
Sophie McCall (S)
Stela McLachlan (S)
Alastair Thomson (A)
Alistair Stewart (A)
Daniella Ene (D)
Hazel Neilson (H)
Juergen Caris (J)
Maria McMenemy (M)
Nazir Lone (N)
Nicola Rigglesford (N)
Paul Schofield (P)
Sophie David (S)
Stephen Young (S)
Tracey McKinley (T)
Tracey Rapson (T)
Anna K Jamieson (AK)
Arjuna A Sivakumaran (AA)
Arun Parajuli (A)
Ed Whittaker (E)
Emma K Watson (EK)
Ha Bao Trung Le (HBT)
Hannah M M Preston (HMM)
Jason Yang (J)
John P Kelly (JP)
Jonathan Wubetu (J)
Julia Guerrero Enriquez (JG)
Kathryn A W Knight (KAW)
Louisa R Cary (LR)
Oscar C N Maltby (OCN)
Rosie Callender (R)
Sarah H Goodwin (SH)
Thomas H Clouston (TH)
Thomas J McCormick (TJ)
XinYi Ng (X)
Zaina Sharif (Z)
Anoop Shah (A)
Colan Mehaffey (C)
Ken Lee (K)
Laura Woods-Dunlop (L)
Michael Gray (M)
Nicholas Mills (N)
Pamela Linksted (P)
Peter Cairns (P)
Rob Baxter (R)
Stephen Lavenberg (S)
Susan Buckingham (S)

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

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Auteurs

Marcello S Scopazzini (MS)

Clinical Infection Research Group, NHS Lothian Infection Service, Western General Hospital, Edinburgh, UK. marcello.scopazzini1@lshtm.ac.uk.
London School of Hygiene and Tropical Medicine, London, UK. marcello.scopazzini1@lshtm.ac.uk.

Roo Nicola Rose Cave (RNR)

The School of Biological Sciences, University of Edinburgh, Edinburgh, UK.

Callum P Mutch (CP)

Clinical Infection Research Group, NHS Lothian Infection Service, Western General Hospital, Edinburgh, UK.

Daniella A Ross (DA)

Clinical Infection Research Group, NHS Lothian Infection Service, Western General Hospital, Edinburgh, UK.

Anda Bularga (A)

British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.

Margo Chase-Topping (M)

The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.

Mark Woolhouse (M)

Usher Institute, University of Edinburgh, Edinburgh, UK.

Oliver Koch (O)

Clinical Infection Research Group, NHS Lothian Infection Service, Western General Hospital, Edinburgh, UK.

Meghan R Perry (MR)

Clinical Infection Research Group, NHS Lothian Infection Service, Western General Hospital, Edinburgh, UK.

Claire L Mackintosh (CL)

Clinical Infection Research Group, NHS Lothian Infection Service, Western General Hospital, Edinburgh, UK.

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