Your browser doesn't support javascript.
Why were there 231 707 more deaths than expected in England between 2010 and 2018? An ecological analysis of mortality records.
Darlington-Pollock, Frances; Green, Mark A; Simpson, Ludi.
  • Darlington-Pollock F; Department of Geography and Planning, University of Liverpool, L69 7ZT Liverpool, UK.
  • Green MA; Department of Geography and Planning, University of Liverpool, L69 7ZT Liverpool, UK.
  • Simpson L; Cathie Marsh Institute for Social Research, University of Manchester, M13 9BL, Manchester, UK.
J Public Health (Oxf) ; 44(2): 310-318, 2022 06 27.
Article in English | MEDLINE | ID: covidwho-1149960
ABSTRACT

BACKGROUND:

Policy responses to the Global Financial Crisis emphasized wide-ranging fiscal austerity measures, many of which have been found to negatively impact health outcomes. This paper investigates change in patterns of mortality at local authority level in England (2010-11 to 2017-18) and the relation with fiscal austerity measures.

METHODS:

Data from official local authority administrative records are used to quantify the gap between observed deaths and what was anticipated in the 2010-based subnational population projections. Regression analyses are used to explore the relation between excess deaths, austerity and wider process of population change at local authority level.

RESULTS:

We estimate 231 707 total excess deaths, the majority of which occurred since 2014-15 (89%) across the majority of local authorities (91%). Austerity is positively associated with excess deaths. For working age adults, there is a clear gradient to the impact of austerity, whereas for older adults, the impact is more uniform.

CONCLUSIONS:

Fiscal austerity policies contributed to an excess of deaths for older people and widened social inequalities for younger populations. These results call for an end to all austerity measures and require further research into areas with the highest total excess deaths as a priority following the COVID-19 pandemic.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study Limits: Aged / Humans Country/Region as subject: Europa Language: English Journal: J Public Health (Oxf) Year: 2022 Document Type: Article Affiliation country: Pubmed

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study Limits: Aged / Humans Country/Region as subject: Europa Language: English Journal: J Public Health (Oxf) Year: 2022 Document Type: Article Affiliation country: Pubmed