Evidence map›Paper›PMID 39255259›Full record

ArticlePloS one2024

"I probably shouldn't go in today": Inequitable access to paid sick leave and its impacts on health behaviors during the emergence of COVID-19 in the Seattle area.

Chidozie D Iwu, Sarah N Cox, Sarah L Sohlberg, Ashley E Kim, Jennifer Logue, Peter D Han, Thomas R Sibley, Misja Ilcisin, Kairsten A Fay, Jover Lee and 7 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

17 authors.

Chidozie D IwuDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0001-5721-6425
Sarah N CoxDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.
Sarah L SohlbergDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.
Ashley E KimDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.
Jennifer LogueDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.
Peter D HanBrotman Baty Institute for Precision Medicine, Seattle, Washington, United States of America.
Thomas R SibleyFred Hutchinson Cancer Center, Seattle, Washington, United States of America.
Misja IlcisinFred Hutchinson Cancer Center, Seattle, Washington, United States of America.
Kairsten A FayFred Hutchinson Cancer Center, Seattle, Washington, United States of America.
Jover LeeFred Hutchinson Cancer Center, Seattle, Washington, United States of America.
Denise J McCullochDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.
Yongzhe WangDepartment of Surgery and Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, United States of America.ORCID 0009-0006-8771-7451
Michael BoeckhDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.
Janet A EnglundSeattle Children's Research Institute, Seattle, Washington, United States of America.
Lea M StaritaBrotman Baty Institute for Precision Medicine, Seattle, Washington, United States of America.
Anjum HajatDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.
Helen Y ChuDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.

Funding

The role of precarious work in the production of health disparities in older agesR01AG060011 · NIA · UNIVERSITY OF WASHINGTON · PI HAJAT, ANJUM · 2018 to 2021
$1.7M
NIA NIH HHS R01 AG060011
6 · The paper itself

Abstract

This study examines inequities in access to paid sick leave (PSL) by race/ethnicity, income, and sex and the role of PSL access on leave-taking and care-seeking behaviors among Seattle-area workers in the months leading up to and during the emergence of COVID-19 in the region. Survey responses were collected online and in-person from individuals experiencing acute respiratory illness symptoms between November 2019 and March 2020 as part of a community-based respiratory viral surveillance study. Chi-square tests and log-binomial models were used to assess the association between PSL access and various socioeconomic indicators. A total of 66.6% (n = 2,276) respondents reported access to PSL. Proportionally, access to PSL was highest in respondents identifying as Asian (70.5%), followed by White (68.7%), Latine (58.4%), Multiracial (57.1%), Black (47.1%), and Other (43.1%). Access to PSL increased with household income. Eighty three percent of high-income respondents reported access compared to 52.9% of low-income households. Only 23.3% of the lowest-income households reported access to PSL. Fewer females (65.2%) than males (70.7%) reported access to PSL. Access to PSL is inequitably distributed across income, race/ethnicity, and sex. This study reinforces the vast body of knowledge on how socioeconomic inequalities increase individual and community-level vulnerability to the impacts of infectious disease outbreaks. It also supports the role of labor and economic policy in mitigating (or exacerbating) these impacts. Exemplified by the COVID-19 pandemic, universal access to PSL, especially for marginalized populations, benefits all.

Indexed as

COVID-19Sick LeaveAdolescentAdultFemaleHealth BehaviorHumansIncomeMaleMiddle AgedSARS-CoV-2Socioeconomic FactorsSurveys and QuestionnairesWashingtonYoung Adult

Identifiers

PMID39255259
PMCPMC11386467

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.