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Too stringent or too Lenient: Antecedents and consequences of perceived stringency of COVID-19 policies in the United States.

ABSTRACT: In the United States, federal and local governments have attempted to contain the spread of Coronavirus Disease 2019 (COVID-19) by implementing a variety of policies such as stay-at-home orders and mask mandates. Perceptions can influence behaviors; therefore, it is important to understand how people perceive the stringency of COVID-19 policies, what factors shape perceived policy stringency, and whether and how policy perceptions impact the practice of prevention behaviors. With rolling-cross sectional survey data collected in the US from June to October 2020 and other external sources of data, the study examines the impact of objective risk of the pandemic, information seeking, and political ideology at the individual and the state levels on perceived policy stringency, and the impact of perceived policy stringency on prevention behaviors such as mask wearing and social distancing. The findings reveal that objective risk and political ideology are significantly associated with perceived policy stringency. The perceived policy stringency has negative associations with prevention behaviors. The findings provide important implications for the development process of compulsory public health policies during the pandemic.

SUBMITTER: Lee S

PROVIDER: S-EPMC8270729 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Too stringent or too Lenient: Antecedents and consequences of perceived stringency of COVID-19 policies in the United States.

Lee Sanguk S Peng Tai-Quan TQ Lapinski Maria Knight MK Turner Monique Mitchell MM Jang Youjin Y Schaaf Andrea A

Health policy OPEN 20210710

In the United States, federal and local governments have attempted to contain the spread of Coronavirus Disease 2019 (COVID-19) by implementing a variety of policies such as stay-at-home orders and mask mandates. Perceptions can influence behaviors; therefore, it is important to understand how people perceive the stringency of COVID-19 policies, what factors shape perceived policy stringency, and whether and how policy perceptions impact the practice of prevention behaviors. With rolling-cross s ...[more]

PMID: 34308333

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Project description:IntroductionAlthough 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.MethodsStudent 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.ResultsState 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.DiscussionPolitical, 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.

Project description:BackgroundDisruptions in essential health services during the COVID-19 pandemic have been reported in several countries. Yet, patterns in health service disruption according to country responses remain unclear. In this paper, we investigate associations between the stringency of COVID-19 containment policies and disruptions in 31 health services in 10 low- middle- and high-income countries in 2020.MethodsUsing routine health information systems and administrative data from 10 countries (Chile, Ethiopia, Ghana, Haiti, Lao People's Democratic Republic, Mexico, Nepal, South Africa, South Korea, and Thailand) we estimated health service disruptions for the period of April to December 2020 by dividing monthly service provision at national levels by the average service provision in the 15 months pre-COVID (January 2019-March 2020). We used the Oxford COVID-19 Government Response Tracker (OxCGRT) index and multi-level linear regression analyses to assess associations between the stringency of restrictions and health service disruptions over nine months. We extended the analysis by examining associations between 11 individual containment or closure policies and health service disruptions. Models were adjusted for COVID caseload, health service category and country GDP and included robust standard errors.FindingsChronic disease care was among the most affected services. Regression analyses revealed that a 10% increase in the mean stringency index was associated with a 3.3 percentage-point (95% CI -3.9, -2.7) reduction in relative service volumes. Among individual policies, curfews, and the presence of a state of emergency, had the largest coefficients and were associated with 14.1 (95% CI -19.6, 8.7) and 10.7 (95% CI -12.7, -8.7) percentage-point lower relative service volumes, respectively. In contrast, number of COVID-19 cases in 2020 was not associated with health service disruptions in any model.ConclusionsAlthough containment policies were crucial in reducing COVID-19 mortality in many contexts, it is important to consider the indirect effects of these restrictions. Strategies to improve the resilience of health systems should be designed to ensure that populations can continue accessing essential health care despite the presence of containment policies during future infectious disease outbreaks.

Dataset Information

Too stringent or too Lenient: Antecedents and consequences of perceived stringency of COVID-19 policies in the United States.

Publications

Too stringent or too Lenient: Antecedents and consequences of perceived stringency of COVID-19 policies in the United States.

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