Evidence map›Paper›PMID 37583885›Full record

ArticleFrontiers in public health2023

Predictors of student mask mandate policies in United States school districts during the COVID-19 pandemic.

Lauren M Klein, Sara B Johnson, Annette C Anderson, Kelly Beharry, Ruth Faden, Xinxing Guo, Medha Kallem, Andrew Nicklin, Alan Regenberg, Azka Tariq and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 69% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 3 institutions in 1 country.

Lauren M KleinDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Sara B JohnsonDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Annette C AndersonJohns Hopkins University School of Education, Baltimore, MD, United States.
Kelly BeharryUniversity of Michigan Medical School, Ann Arbor, MI, United States.
Ruth FadenJohns Hopkins Berman Institute of Bioethics, Baltimore, MD, United States.
Xinxing GuoWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Medha KallemWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Andrew NicklinBloomberg Center for Government Excellence, Baltimore, MD, United States.
Alan RegenbergJohns Hopkins Berman Institute of Bioethics, Baltimore, MD, United States.
Azka TariqWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Megan E CollinsDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Johns Hopkins University · USBloomberg (United States) · USJohns Hopkins Berman Institute of Bioethics · US

Funding

The Hopkins Population CenterP2CHD042854 · NICHD · JOHNS HOPKINS UNIVERSITY · PI Alison Gemmill · 2021 to 2026
$3.0M
NICHD NIH HHS P2C HD042854
6 · The paper itself

Abstract

Introduction: Although factors such as urbanicity, population demographics, and political affiliation have been linked with COVID-19 masking behavior and policy in community settings, little work has investigated factors associated with school mask policies. We sought to characterize United States state and school district student COVID-19 masking policies during the 2021-22 school year and determine predictors of these mandates at four time points, including before and after federal guidance relaxed school mask recommendations in February 2022. Methods: Student mask policies for US states and the District of Columbia, as well as a sample of 56 districts were categorized as prohibited, recommended, or required in September 2021, November 2021, January 2022, and March 2022 based on the Johns Hopkins eSchool+ Initiative School Reopening Tracker. Changes in policies over time were characterized. Generalized estimating equations and logistic regression were used to evaluate whether political affiliation of governor, urbanicity, economic disadvantage, and race/ethnic composition of district students, and county-level COVID-19 incidence predicted the presence of a district mask mandate at any time point and at all four time points. Results: State and district policies changed over time. Districts that implemented student mandates at any point were more likely to be in states with Democratic governors (AOR: 5.52; 95% CI: 2.23, 13.64) or in non-rural areas (AOR: 8.20; 95% CI: 2.63, 25.51). Districts that retained mask mandates at all four time points were more likely to have Democratic governors (AOR: 5.39; 95% CI: 2.69, 10.82) and serve a smaller proportion of economically disadvantaged students (AOR: 0.97; 95% CI: 0.95, 0.99). Districts serving a larger proportion of students from minoritized racial/ethnic groups were more likely to have mask mandates at any or all timepoints. Notably, county-level COVID-19 prevalence was not related to the presence of a mask mandate at any or all time points. By March 2022, no factors were significantly associated with district mask policy. Discussion: Political, geographic, and demographic characteristics predicted the likelihood of student mask mandates in the 2021-22 school year. Public health promotion messages and policy must account for variation in these factors, potentially through centralized and consistent messaging and unbiased, trustworthy communication.

Indexed as

COVID-19HumansPandemicsPolicySchoolsStudentsUnited StatesCOVID-19health promotionmask policypublic healthschool health

Identifiers

PMID37583885
PMCPMC10423804
OpenAlexW4385425995

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.