Evidence map›Paper›PMID 34219320›Full record

ArticleHealth & social care in the community2022

Health-related and socio-economic burden of the COVID-19 pandemic in Vienna.

Moritz Oberndorfer, Thomas E Dorner, Martina Brunnmayr, Katharina Berger, Belma Dugandzic, Michael Bach

Abstract read
In one paragraph

Article in Health & social care in the community, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Moritz OberndorferDepartment of Social and Preventive Medicine, Centre for Public Health, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-3987-0823
Thomas E DornerDepartment of Social and Preventive Medicine, Centre for Public Health, Medical University of Vienna, Vienna, Austria.
Martina BrunnmayrSocial Insurance Fund for Public Service, Railway and Mining Industries, Therapiezentrum Justuspark, Bad Hall, Austria.
Katharina BergerSocial Insurance Fund for Public Service, Railway and Mining Industries, Therapiezentrum Justuspark, Bad Hall, Austria.
Belma DugandzicSocial Insurance Fund for Public Service, Railway and Mining Industries, Therapiezentrum Justuspark, Bad Hall, Austria.
Michael BachSocial Insurance Fund for Public Service, Railway and Mining Industries, Therapiezentrum Justuspark, Bad Hall, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous pandemics have rarely affected everyone equally and, so far, the COVID-19 pandemic is no exception. Emerging evidence has shown that incidence rate, hospitalisation rate, and mortality due to COVID-19 are higher among people in lower socio-economic position (SEP). In addition, first investigations indicate that not everyone is equally affected by this pandemic's collateral public health damage. Using a stratified random sample of 1,004 participants living in Vienna, a Central European city with approximately 1.9 million inhabitants, this study analysed the distribution of 10 adverse health-related and socio-economic outcomes attributable to the COVID-19 pandemic across socio-economic strata. To this end, we estimated differences in the incidence rate of these outcomes by SEP and each of its indicators using zero-inflated Poisson and logistic regression models, adjusted for age and gender. Data were collected during first lockdown measures between 27 April and 17 May 2020. Differences in the incidence rate between the two lowest and two highest SEP groups were clearly visible. Participants in the lowest SEP category had a 32.96% higher incidence rate (IRR = 1.333 [95% CI: 1.079-1.639]), and participants in the second lowest SEP category had a 44.69% higher incidence rate (IRR = 1.447 [95% CI: 1.190-1.760]) compared with participants in the highest SEP category. In sum, 6 out of 10 adverse COVID-19-related outcomes were, to a greater or lesser extent, disproportionately experienced by Viennese residents in lower SEP. Inequalities were most visible between income groups and for the outcomes job loss, worsening of the financial situation, and worse mental health. These results strengthen and extend the current evidence on the unequally distributed burden of the COVID-19 pandemic. In light of effect heterogeneity across SEP indicators, we encourage future investigators to pay increased attention to their operationalisation of SEP. Such awareness will help to correctly identify those in most urgent need of supportive polices.

Indexed as

COVID-19Communicable Disease ControlFinancial StressHumansIncomePandemicsSocioeconomic FactorsAustriaCOVID-19health inequalitiespandemicsocio-economic positionVienna

Identifiers

PMID34219320
PMCPMC8444637

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.