Influence of socioeconomic deprivation on interventions and outcomes for patients admitted with COVID-19 to critical care units in Scotland: A national cohort study

Lone, Nazir; McPeake, Joanne; Stewart, Neil I; Blayney, Michael C.; Seem, Robert Chan; Donaldson, Lorraine; Glass, Elaine; Haddow, Catriona; Hall, Ros; Martin, Christine; Paton, Martin; Smith‐Palmer, Alison; Kaye, Callum; Puxty, Kathryn

doi:10.1016/j.lanepe.2020.100005

Cited by 57 publications

(72 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…(9) In England, approximately 46.9% of all deaths occur in hospital. (10) Of the proportion admitted to critical care in England, Wales and Northern Ireland, 14.5% (23,401) died in critical care and 19.6% (31,673) in total died before leaving hospital, with similar data reported in Scotland. (11,12) These figures are not dissimilar to those reported for people dying in hospices in England and Wales (25,673), equating to around 5.2% for intensive care unit (ICU) deaths and 5.7% for hospice deaths respectively.…”

Section: Introductionmentioning

confidence: 55%

Deaths in critical care and hospice—prevalence, trends, influences: a national decedent cohort study

Mayes

McLachlan

Carduff

et al. 2021

BMJ Support Palliat Care

Self Cite

View full text Add to dashboard Cite

ObjectivesEnd-of-life and bereavement care support services differ in critical care and inpatient hospice settings. There are limited population-level data comparing deaths in these two locations. We aimed to compare the characteristics of people who die in critical care units and in hospices, identify factors associated with place of death and report 12-year trends in Scotland.MethodsWe undertook a cohort study of decedents aged ≥16 years in Scotland (2005–2017). Location of death was identified from linkage to the Scottish Intensive Care Society Audit Group database and National Records of Scotland Death Records. We developed a multinomial logistic regression model to identify factors independently associated with location of death.ResultsThere were 710 829 deaths in Scotland, of which 36 316 (5.1%) occurred in critical care units and 42 988 (6.1%) in hospices. As a proportion of acute hospital deaths, critical care deaths increased from 8.0% to 11.2%. Approximately one in eight deaths in those aged under 40 years occurred in critical care. Factors independently associated with hospice death included living in less deprived areas, cancer as the cause of death and presence of comorbidities. In contrast, liver disease and accidents as the cause of death and absence of comorbidities were associated with death in critical care.ConclusionsSimilar proportions of deaths in Scotland occur in critical care units and hospices. Given the younger age profile and unexpected nature of deaths occurring in critical care units, there is a need for a specific focus on end-of-life and bereavement support services in critical care units.

show abstract

Section: Introductionmentioning

confidence: 55%

Deaths in critical care and hospice—prevalence, trends, influences: a national decedent cohort study

Mayes

McLachlan

Carduff

et al. 2021

BMJ Support Palliat Care

Self Cite

View full text Add to dashboard Cite

show abstract

“…On an individual level, IFR is also very strongly influenced by age ( e.g ., O’Driscoll et al, 2020 ), as well as by other risk factors such as obesity ( e.g ., Kompaniyets et al, 2021 ) and socioeconomics ( e.g ., Lone et al, 2021 ). As such, even if IFR falls through time in different jurisdictions in a similar way, one would nonetheless expect to observe higher IFR in states with higher median age, higher obesity, or higher poverty rates, compared to younger, less obese, and higher median income states.…”

Section: Methodsmentioning

confidence: 99%

covid19.Explorer: a web application and R package to explore United States COVID-19 data

Revell

2021

PeerJ

View full text Add to dashboard Cite

Appearing at the end of 2019, a novel virus (later identified as SARS-CoV-2) was characterized in the city of Wuhan in Hubei Province, China. As of the time of writing, the disease caused by this virus (known as COVID-19) has already resulted in over three million deaths worldwide. SARS-CoV-2 infections and deaths, however, have been highly unevenly distributed among age groups, sexes, countries, and jurisdictions over the course of the pandemic. Herein, I present a tool (the covid19.Explorer R package and web application) that has been designed to explore and analyze publicly available United States COVID-19 infection and death data from the 2020/21 U.S. SARS-CoV-2 pandemic. The analyses and visualizations that this R package and web application facilitate can help users better comprehend the geographic progress of the pandemic, the effectiveness of non-pharmaceutical interventions (such as lockdowns and other measures, which have varied widely among U.S. states), and the relative risks posed by COVID-19 to different age groups within the U.S. population. The end result is an interactive tool that will help its users develop an improved understanding of the temporal and geographic dynamics of the SARS-CoV-2 pandemic, accessible to lay people and scientists alike.

show abstract

“…The disproportionate risks associated with network dynamics have also led to differential disease burden (4,9). According to an analysis from Scotland, patients living in areas with the greatest socioeconomic deprivation had a higher frequency of intensive-care admission and higher COVID-19-related mortality (10). Health care units in the most deprived areas also operated over capacity for a more prolonged period (10).…”

mentioning

confidence: 99%

“…According to an analysis from Scotland, patients living in areas with the greatest socioeconomic deprivation had a higher frequency of intensive-care admission and higher COVID-19-related mortality (10). Health care units in the most deprived areas also operated over capacity for a more prolonged period (10). In a US study, those working in food and agriculture, transportation or logistics, manufacturing, health services, and retail had significantly increased excess mortality related to COVID-19 (9).…”

mentioning

confidence: 99%

Networks of SARS-CoV-2 transmission

Çevik

Baral

2021

Science

View full text Add to dashboard Cite

show abstract

Influence of socioeconomic deprivation on interventions and outcomes for patients admitted with COVID-19 to critical care units in Scotland: A national cohort study

Cited by 57 publications

References 18 publications

Deaths in critical care and hospice—prevalence, trends, influences: a national decedent cohort study

Deaths in critical care and hospice—prevalence, trends, influences: a national decedent cohort study

covid19.Explorer: a web application and R package to explore United States COVID-19 data

Networks of SARS-CoV-2 transmission

Contact Info

Product

Resources

About