Evidence map›Paper›PMID 36218245›Full record

ArticleJournal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing2023

Socioeconomic and ethnic disparities along five waves of the COVID-19 pandemic: Lessons we have not yet learnt.

Osnat Luxenburg, Clara Singer, Arielle Kaim, Mor Saban, Rachel Wilf-Miron

Abstract read
In one paragraph

Article in Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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  5. Socioeconomic and ethnic disparities along five waves of the COVID-19 pandemic: Lessons we have not yet learnt.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2023
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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

5 authors.

Osnat LuxenburgMedical Technology, Health Information and Research Directorate, Ministry of Health, Jerusalem, Israel.
Clara SingerThe Gertner Institute for Epidemiology and Health Policy Research, Ramat Gan, Israel.
Arielle KaimThe Gertner Institute for Epidemiology and Health Policy Research, Ramat Gan, Israel.
Mor SabanThe Gertner Institute for Epidemiology and Health Policy Research, Ramat Gan, Israel.ORCID 0000-0001-6869-0907
Rachel Wilf-MironThe Gertner Institute for Epidemiology and Health Policy Research, Ramat Gan, Israel.ORCID 0000-0002-8112-8721

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe COVID-19 pandemic, now in its third year, has served as a magnifying glass, exposing the inequitable impact of the outbreak. The study aims to analyze the relationships between the socioeconomic and ethnic characteristics of the population and COVID-19 testing, infection, and vaccination throughout the first five pandemic waves.

designA secondary analysis of an existing national database was conducted in Israel from March 2020 to May 2022. During the study period, Israel underwent 5 pandemic peaks or waves (March-April 2020, September-October 2020, January-February 2021, September 2021, and January-February 2022).

methodsData on tests performed, confirmed COVID-19 cases, and uptake of vaccine doses one through four during the study period, were analyzed by the socioeconomic (SE) cluster (scale of 1 to 10) and ethnicity (Jewish, Arab, mixed Jewish- Arab ethnicity) of the residents' local authority.

resultsCOVID-19 testing rate gradually increased from the lowest to the highest SE clusters, with rates 3.2 times higher in the second highest, compared with the lowest cluster. People living in Jewish localities were tested twice more than those in Arab or mixed localities. The rate of confirmed cases was 1.9, 3.0, 6.3, and 4.3 times higher, respectively, among cluster 1 (the lowest) compared with cluster 9 (second highest) in the first, second, third, and fourth pandemic waves, respectively. Rates among people living in Arab or mixed localities were higher compared with those living in Jewish localities in 3 of the 5 waves. Vaccine uptake revealed a clear social gradient, with the percentage of the population being vaccinated gradually increasing from cluster 1 (the lowest) to the higher clusters. The relative difference between the lowest and highest SE clusters increased from 2.4 in the first vaccine dose to 5.5 in the third and fourth doses. Ethnic disparities also grew with vaccine dose, with a Jewish to an Arab rate ratio of 1.1, 1.2, 1.6, and 4.5 for vaccine doses 1,2,3, and 4, respectively.

conclusionsCovering 26 consecutive months of the COVID-19 pandemic at the national level, the current study demonstrates that despite high accessibility of tests and vaccines to the entirety of the population and tailored outreach efforts, socioeconomic, and ethnic disparities not only failed to diminish, but they even widened along the five pandemic waves. CLINICAL RELEVANCE: The pandemic exposed the vulnerability of the weakest segments of the population. Therefore, the combined action of the Ministry of Health, health providers, and local authorities is required to further adapt health messages to the cultural characteristics of diverse populations, to equip the health professionals with practical tools to promote healthy choices among the vulnerable populations, and to build communities that promote healthy lifestyles. The pandemic has highlighted the importance of reducing health disparities and building trust between vulnerable populations and the healthcare system during "normal" or routine times, to better prepare for times of emergencies, such as the current pandemic.

Indexed as

COVID-19ArabsCOVID-19 TestingHumansPandemicsSocioeconomic FactorsCOVID-19disparityethnicityhealth policyinfectionsocioeconomicvaccination

Identifiers

PMID36218245
PMCPMC9874613

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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.