Cargando…

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

BACKGROUND: School 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 a...

Descripción completa

Detalles Bibliográficos
Autores principales: Chin, Elizabeth T., Huynh, Benjamin Q., Lo, Nathan C., Hastie, Trevor, Basu, Sanjay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360472/
https://www.ncbi.nlm.nih.gov/pubmed/32664927
http://dx.doi.org/10.1186/s12916-020-01692-w
_version_ 1783559221035401216
author Chin, Elizabeth T.
Huynh, Benjamin Q.
Lo, Nathan C.
Hastie, Trevor
Basu, Sanjay
author_facet Chin, Elizabeth T.
Huynh, Benjamin Q.
Lo, Nathan C.
Hastie, Trevor
Basu, Sanjay
author_sort Chin, Elizabeth T.
collection PubMed
description BACKGROUND: School 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. METHODS: We 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. RESULTS: At 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. CONCLUSIONS: School 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.
format Online
Article
Text
id pubmed-7360472
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-73604722020-07-15 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. Huynh, Benjamin Q. Lo, Nathan C. Hastie, Trevor Basu, Sanjay BMC Med Research Article BACKGROUND: School 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. METHODS: We 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. RESULTS: At 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. CONCLUSIONS: School 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. BioMed Central 2020-07-15 /pmc/articles/PMC7360472/ /pubmed/32664927 http://dx.doi.org/10.1186/s12916-020-01692-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Chin, Elizabeth T.
Huynh, Benjamin Q.
Lo, Nathan C.
Hastie, Trevor
Basu, Sanjay
Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study
title Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study
title_full Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study
title_fullStr Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study
title_full_unstemmed Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study
title_short Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study
title_sort projected geographic disparities in healthcare worker absenteeism from covid-19 school closures and the economic feasibility of child care subsidies: a simulation study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360472/
https://www.ncbi.nlm.nih.gov/pubmed/32664927
http://dx.doi.org/10.1186/s12916-020-01692-w
work_keys_str_mv AT chinelizabetht projectedgeographicdisparitiesinhealthcareworkerabsenteeismfromcovid19schoolclosuresandtheeconomicfeasibilityofchildcaresubsidiesasimulationstudy
AT huynhbenjaminq projectedgeographicdisparitiesinhealthcareworkerabsenteeismfromcovid19schoolclosuresandtheeconomicfeasibilityofchildcaresubsidiesasimulationstudy
AT lonathanc projectedgeographicdisparitiesinhealthcareworkerabsenteeismfromcovid19schoolclosuresandtheeconomicfeasibilityofchildcaresubsidiesasimulationstudy
AT hastietrevor projectedgeographicdisparitiesinhealthcareworkerabsenteeismfromcovid19schoolclosuresandtheeconomicfeasibilityofchildcaresubsidiesasimulationstudy
AT basusanjay projectedgeographicdisparitiesinhealthcareworkerabsenteeismfromcovid19schoolclosuresandtheeconomicfeasibilityofchildcaresubsidiesasimulationstudy