Evidence map›Paper›PMID 36343314›Full record

ArticleHealth affairs (Project Hope)2022

Mandates Narrow Gender Gaps In Paid Sick Leave Coverage For Low-Wage Workers In The US.

Kristen Harknett, Daniel Schneider

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Beyond borders: Does firm-level exposure to state and local paid sick leave mandates lead to intra-firm spillovers?Journal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management] · 2026
    Article
  4. Article
  5. Article
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  7. Article
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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

2 authors.

Kristen HarknettKristen Harknett (kristen.harknett@ucsf.edu), University of California San Francisco, San Francisco, California.
Daniel SchneiderDaniel Schneider, Harvard University, Cambridge, Massachusetts.

Funding

California Labor Laboratory (CALL)U19OH012293 · OH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YELIN, EDWARD H · 2021 to 2025
$6.0M
Effects of Job Quality in the Service Sector on Health-Related Outcomes Across the Life CourseR01AG066898 · NIA · HARVARD UNIVERSITY · PI HARKNETT, KRISTEN SUE, SCHNEIDER, DANNY · 2021 to 2025
$3.6M
Health Effects of Unstable Work Schedules in the Service SectorR21HD091578 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI HARKNETT, KRISTEN, SCHNEIDER, DANNY · 2017 to 2018
$414k
NIA NIH HHS R01 AG066898NICHD NIH HHS R21 HD091578NIOSH CDC HHS U19 OH012293
6 · The paper itself

Abstract

Paid sick leave helps workers recover from illness and manage care obligations and protects public health. Yet access to paid sick leave remains limited and unequal in the United States. Drawing on surveys of 61,223 service-sector workers collected during the period 2017-21 by the Shift Project, we documented limited access to paid sick leave and stark gender inequality, with women less likely than men to have paid sick leave. Part-time employment and gender segregation by industry subsector each explain part, but not all, of the gender disparity. However, in states and localities that mandate paid sick leave for workers, workers are far more likely to report access to this benefit, and the gender gap is eliminated. Guaranteeing paid sick leave to all workers would offer a range of benefits for workers, employers, and public health while also offering the further benefit of reducing gender inequality.

Indexed as

Salaries and Fringe BenefitsSick LeaveEmploymentFemaleHumansMaleSex FactorsSurveys and QuestionnairesUnited States

Identifiers

PMID36343314
PMCPMC10700023

What OpenQuestion holds

Textmetadata
LicenceTDM
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.