Evidence map›Paper›PMID 38081182›Full record

ArticleInternational journal of epidemiology2024

Quantifying income inequality in years of life lost to COVID-19: a prediction model approach using Dutch administrative data.

Jawa Issa, Bram Wouterse, Elena Milkovska, Pieter van Baal

Abstract read
In one paragraph

Article in International journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jawa IssaErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-7370-3175
Bram WouterseErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-8432-8841
Elena MilkovskaErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0003-1143-4915
Pieter van BaalErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-9913-2393

Funding

National Institute for Public Health and the Environment 10430252210008Rijksinstituut voor Volksgezondheid en Milieu
6 · The paper itself

Abstract

backgroundLow socioeconomic status and underlying health increase the risk of fatal outcomes from COVID-19, resulting in more years of life lost (YLL) among the poor. However, using standard life expectancy overestimates YLL to COVID-19. We aimed to quantify YLL associated with COVID-19 deaths by sex and income quartile, while accounting for the impact of individual-level pre-existing health on remaining life expectancy for all Dutch adults aged 50+.

methodsExtensive administrative data were used to model probability of dying within the year for the entire 50+ population in 2019, considering age, sex, disposable income and health care use (n = 6 885 958). The model is used to predict mortality probabilities for those who died of COVID-19 (had they not died) in 2020. Combining these probabilities in life tables, we estimated YLL by sex and income quartile. The estimates are compared with YLL based on standard life expectancy and income-stratified life expectancy.

resultsUsing standard life expectancy results in 167 315 YLL (8.4 YLL per death) which is comparable to estimates using income-stratified life tables (167 916 YLL with 8.2 YLL per death). Considering pre-existing health and income, YLL decreased to 100 743, with 40% of years lost in the poorest income quartile (5.0 YLL per death). Despite individuals in the poorest quartile dying at younger ages, there were minimal differences in average YLL per COVID-19 death compared with the richest quartile.

conclusionsAccounting for prior health significantly affects estimates of YLL due to COVID-19. However, inequality in YLL at the population level is primarily driven by higher COVID-19 deaths among the poor. To reduce income inequality in the health burden of future pandemics, policies should focus on limiting structural differences in underlying health and exposure of lower income groups.

Indexed as

COVID-19AdultHealth StatusHumansIncomeLife ExpectancyPandemicsCOVID-19income inequalitymortalityThe Netherlandsyears of life lost

Identifiers

PMID38081182
PMCPMC10859130

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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.