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Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study.

ABSTRACT: Background:School closures have been enacted as a measure of mitigation during the ongoing COVID-19 pandemic. It has been shown that school closures could cause absenteeism amongst healthcare workers with dependent children, but there remains a need for spatially granular analyses of the relationship between school closures and healthcare worker absenteeism to inform local community preparedness. Methods:We provide national- and county-level simulations of school closures and unmet child care needs across the United States. We develop individual simulations using county-level demographic and occupational data, and model school closure effectiveness with age-structured compartmental models. We perform multivariate quasi-Poisson ecological regressions to find associations between unmet child care needs and COVID-19 vulnerability factors. Results:At the national level, we estimate the projected rate of unmet child care needs for healthcare worker households to range from 7.5% to 8.6%, and the effectiveness of school closures to range from 3.2% (R 0 = 4) to 7.2% (R 0 = 2) reduction in fewer ICU beds at peak demand. At the county-level, we find substantial variations of projected unmet child care needs and school closure effects, ranging from 1.9% to 18.3% of healthcare worker households and 5.7% to 8.8% reduction in fewer ICU beds at peak demand (R 0 = 2). We find significant positive associations between estimated levels of unmet child care needs and diabetes prevalence, county rurality, and race (p < 0.05). We estimate costs of absenteeism and child care and observe from our models that an estimated 71.1% to 98.8% of counties would find it less expensive to provide child care to all healthcare workers with children than to bear the costs of healthcare worker absenteeism during school closures. Conclusions:School closures are projected to reduce peak ICU bed demand, but could disrupt healthcare systems through absenteeism, especially in counties that are already particularly vulnerable to COVID-19. Child care subsidies could help circumvent the ostensible tradeoff between school closures and healthcare worker absenteeism.

SUBMITTER: Chin ET

PROVIDER: S-EPMC7239083 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study.

Chin Elizabeth T ET Huynh Benjamin Q BQ Lo Nathan C NC Hastie Trevor T Basu Sanjay S

medRxiv : the preprint server for health sciences 20200416

<h4>Background</h4>School closures have been enacted as a measure of mitigation during the ongoing COVID-19 pandemic. It has been shown that school closures could cause absenteeism amongst healthcare workers with dependent children, but there remains a need for spatially granular analyses of the relationship between school closures and healthcare worker absenteeism to inform local community preparedness.<h4>Methods</h4>We provide national- and county-level simulations of school closures and unme ...[more]

PMID: 32511455

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Project description:BackgroundSchool closures have been enacted as a measure of mitigation during the ongoing coronavirus disease 2019 (COVID-19) pandemic. It has been shown that school closures could cause absenteeism among healthcare workers with dependent children, but there remains a need for spatially granular analyses of the relationship between school closures and healthcare worker absenteeism to inform local community preparedness.MethodsWe provide national- and county-level simulations of school closures and unmet child care needs across the USA. We develop individual simulations using county-level demographic and occupational data, and model school closure effectiveness with age-structured compartmental models. We perform multivariate quasi-Poisson ecological regressions to find associations between unmet child care needs and COVID-19 vulnerability factors.ResultsAt the national level, we estimate the projected rate of unmet child care needs for healthcare worker households to range from 7.4 to 8.7%, and the effectiveness of school closures as a 7.6% and 8.4% reduction in fewer hospital and intensive care unit (ICU) beds, respectively, at peak demand when varying across initial reproduction number estimates by state. At the county level, we find substantial variations of projected unmet child care needs and school closure effects, 9.5% (interquartile range (IQR) 8.2-10.9%) of healthcare worker households and 5.2% (IQR 4.1-6.5%) and 6.8% (IQR 4.8-8.8%) reduction in fewer hospital and ICU beds, respectively, at peak demand. We find significant positive associations between estimated levels of unmet child care needs and diabetes prevalence, county rurality, and race (p<0.05). We estimate costs of absenteeism and child care and observe from our models that an estimated 76.3 to 96.8% of counties would find it less expensive to provide child care to all healthcare workers with children than to bear the costs of healthcare worker absenteeism during school closures.ConclusionsSchool closures are projected to reduce peak ICU and hospital demand, but could disrupt healthcare systems through absenteeism, especially in counties that are already particularly vulnerable to COVID-19. Child care subsidies could help circumvent the ostensible trade-off between school closures and healthcare worker absenteeism.

Project description:ImportanceIn-person schooling has been disrupted for most school-aged youth during the COVID-19 pandemic, with low-income, Black, and Hispanic populations most likely to receive fully remote instruction. Disruptions to in-person schooling may have negatively and inequitably affected children's mental health.ObjectiveTo estimate the association between school closures and child mental health outcomes and how it varies across sociodemographic factors.Design, setting, and participantsThis cross-sectional population-based survey study included a nationally representative sample of US adults aged 18 to 64 years with at least 1 child in the household. The survey was administered between December 2 and December 21, 2020, via web and telephone in English and Spanish. Participants were recruited from the NORC AmeriSpeak panel, an address-based panel with known probability sampling and coverage of 97% of US households.ExposuresSchooling modality (in person, fully remote, or hybrid), household income, age.Main outcomes and measuresChild mental health difficulties were measured with the parent-report version of the Strengths and Difficulties Questionnaire, with small, medium, and large effect sizes defined as 1.3-, 3.3-, and 5.2-point differences, respectively.ResultsA total of 2324 adults completed the survey. Overall, 1671 respondents (71.9%) were women, 244 (10.5%) were Black, 372 (16.0%) were Hispanic, and 421 (18.1%) had a high school education or less. Children attending school in-person had higher household incomes (mean difference, $9719; 95% CI, $4327 to $15 111; P < .001) and were more likely to be White compared with those attending remotely (366 of 556 [65.8%] vs 597 of 1340 [44.5%]; P < .001). Older children in remote schooling had more mental health difficulties than those attending in-person schooling (standardized effect size, 0.23 [95% CI, 0.07 to 0.39] per year older; P = .006), corresponding to small effect sizes in favor of in-person schooling for older children and very small effect sizes favoring remote schooling for younger children. Children from families with higher income benefitted more from attending schools in-person compared with their peers from families with lower income (B = -0.20 [95% CI, -0.10 to -0.30] per $10 000-increase in annual income; P < .001), although this advantage was not apparent for children attending hybrid school (B = -0.05 [95% CI, -0.16 to 0.06] per $10 000-increase in annual income; P = .34), and directionally lower but not significantly different for children attending remote school (B = -0.12 [95% CI, -0.04 to -0.20] per $10 000-increase in annual income; P < .001). Learning pods fully buffered the associations of hybrid schooling (d = -0.25; 95% CI, -0.47 to -0.04) but not remote schooling (d = 0.04; 95% CI, -0.10 to 0.18) with negative mental health outcomes.Conclusions and relevanceThe findings of this study suggest that older and Black and Hispanic children as well as those from families with lower income who attend school remotely may experience greater impairment to mental health than their younger, White, and higher-income counterparts. Ensuring that all students have access to additional educational and mental health resources must be an important public health priority, met with appropriate funding and workforce augmentation, during and beyond the COVID-19 pandemic.

Dataset Information

Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study.

Publications

Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study.

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