Evidence map›Paper›PMID 36689910›Full record

Observational studyPublic health2023

The impact of state paid sick leave policies on weekday workplace mobility during the COVID-19 pandemic.

C C Pollack, A Deverakonda, F Hassan, S Haque, A N Desai, M S Majumder

Abstract readObservational Study
In one paragraph

Observational study in Public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Gender differences in employment disruption and return to work among cancer survivors in South Korea.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    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

6 authors.

C C PollackCOVID-19 Dispersed Volunteer Research Network; Boston, Massachusetts, USA; Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth College; Lebanon, New Hampshire, USA; Department of Epidemiology, Geisel School of Medicine at Dartmouth College; Lebanon, New Hampshire, USA. Electronic address: catherine.c.pollack.gr@dartmouth.edu.
A DeverakondaCOVID-19 Dispersed Volunteer Research Network; Boston, Massachusetts, USA.
F HassanCOVID-19 Dispersed Volunteer Research Network; Boston, Massachusetts, USA; School of Public Health, University of Alberta; Edmonton, Alberta, Canada.
S HaqueCOVID-19 Dispersed Volunteer Research Network; Boston, Massachusetts, USA; Network Science Institute, Northeastern University; Boston, Massachusetts, USA.
A N DesaiCOVID-19 Dispersed Volunteer Research Network; Boston, Massachusetts, USA; Department of Internal Medicine, Division of Infectious Diseases, University of California - Davis; Sacramento, California, USA.
M S MajumderCOVID-19 Dispersed Volunteer Research Network; Boston, Massachusetts, USA; Computational Health Informatics Program, Boston Children's Hospital; Boston, Massachusetts, USA; Department of Pediatrics, Harvard Medical School; Boston, Massachusetts, USA.

Funding

Digital data streams and machine learning for real-time modeling of vaccine-preventable infectious diseasesR35GM146974 · NIGMS · BOSTON CHILDREN'S HOSPITAL · PI Maimuna Shahnaz Majumder · 2022 to 2026
$2.2M
NIGMS NIH HHS R35 GM146974
6 · The paper itself

Abstract

objectivesThis study aimed to evaluate whether the Families First Coronavirus Response Act (FFCRA) modified the association between pre-existing state paid sick leave (PSL) and weekday workplace mobility between February 15 and July 7, 2020. STUDY

designThis was a longitudinal, observational study.

methodsThe 50 US states and Washington, D.C., were divided into exposure groups based on the presence or absence of pre-existing state PSL policies. Derived from Google COVID-19 Community Mobility Reports, the outcome was measured as the daily percent change in weekday workplace mobility. Mixed-effects, interrupted time series regression was performed to evaluate weekday workplace mobility after the implementation of the FFCRA on April 1, 2020.

resultsStates with pre-existing PSL policies exhibited a greater drop in mobility following the passage of the FFCRA (β = -8.86, 95% confidence interval: -11.6, -6.10, P < 001). This remained significant after adjusting for state-level health, economic, and sociodemographic indicators (β = -3.13, 95% confidence interval: -5.92, -0.34; P = .039).

conclusionsPre-existing PSL policies were associated with a significant decline in weekday workplace mobility after the FFCRA, which may have influenced local health outcomes. The presence of pre-existing state policies may differentially influence the impact of federal legislation enacted during emergencies.

Indexed as

COVID-19HumansPandemicsPublic PolicySick LeaveWorkplaceCOVID-19Health policyPaid sick leavePhysical distancingWorkplace mobility

Identifiers

PMID36689910
PMCPMC9464594

What OpenQuestion holds

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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.