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Implications for health system resilience: Quantifying the impact of the COVID-19-related stay at home orders on cancer screenings and diagnoses in southeastern North Carolina, USA

COVID-19 impacted hospital systems across the globe. Focus shifted to responding to increased healthcare demand while mitigating COVID-19 spread on their campuses. Mitigation efforts limited medical professional-patient interactions, including patient access to preventive cancer screenings. Data wer...

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Detalles Bibliográficos
Autores principales: Carroll, Rachel, Duea, Stephanie R., Prentice, Christopher R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926435/
https://www.ncbi.nlm.nih.gov/pubmed/35305996
http://dx.doi.org/10.1016/j.ypmed.2022.107010
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author Carroll, Rachel
Duea, Stephanie R.
Prentice, Christopher R.
author_facet Carroll, Rachel
Duea, Stephanie R.
Prentice, Christopher R.
author_sort Carroll, Rachel
collection PubMed
description COVID-19 impacted hospital systems across the globe. Focus shifted to responding to increased healthcare demand while mitigating COVID-19 spread on their campuses. Mitigation efforts limited medical professional-patient interactions, including patient access to preventive cancer screenings. Data were gleaned from a health information exchange containing records on over 2 million patients in southeastern North Carolina, USA. This study tested five hypotheses: H(1): Weekly cancer screenings significantly decreased during North Carolina's (NC) Stay-At-Home (SAH) orders; H(2): Weekly cancer diagnoses significantly decreased during NC's SAH orders; H(3): Weekly cancer screenings significantly increased after the end of NC's SAH orders; H(4): Weekly cancer diagnoses significantly increased after the end of NC's SAH orders; and H(5): Weekly advanced cancer diagnoses significantly increased after the end of NC's SAH orders. Time series regression analysis was employed to quantify trends. Results suggested strong support of H(1) and H(3), moderate support of H(4), mixed support of H(5), and no support of H(2). For example, compared to before the SAH orders, we estimated 662.3 fewer weekly breast cancer screenings during the SAH orders (H(1)). After the SAH orders (H(3)), we estimated 232.5 more breast cancer screenings and 10.6 more breast cancer diagnoses. This work quantifies the impact of COVID-19 associated SAH orders on cancer screenings and diagnoses and suggests the potential for delayed or missed cancer diagnoses. This evident disruption in providing routine medical care also highlights the importance of strengthening health systems (or organizations) and improving resilience to natural disasters and infectious disease outbreaks.
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spelling pubmed-89264352022-03-17 Implications for health system resilience: Quantifying the impact of the COVID-19-related stay at home orders on cancer screenings and diagnoses in southeastern North Carolina, USA Carroll, Rachel Duea, Stephanie R. Prentice, Christopher R. Prev Med Article COVID-19 impacted hospital systems across the globe. Focus shifted to responding to increased healthcare demand while mitigating COVID-19 spread on their campuses. Mitigation efforts limited medical professional-patient interactions, including patient access to preventive cancer screenings. Data were gleaned from a health information exchange containing records on over 2 million patients in southeastern North Carolina, USA. This study tested five hypotheses: H(1): Weekly cancer screenings significantly decreased during North Carolina's (NC) Stay-At-Home (SAH) orders; H(2): Weekly cancer diagnoses significantly decreased during NC's SAH orders; H(3): Weekly cancer screenings significantly increased after the end of NC's SAH orders; H(4): Weekly cancer diagnoses significantly increased after the end of NC's SAH orders; and H(5): Weekly advanced cancer diagnoses significantly increased after the end of NC's SAH orders. Time series regression analysis was employed to quantify trends. Results suggested strong support of H(1) and H(3), moderate support of H(4), mixed support of H(5), and no support of H(2). For example, compared to before the SAH orders, we estimated 662.3 fewer weekly breast cancer screenings during the SAH orders (H(1)). After the SAH orders (H(3)), we estimated 232.5 more breast cancer screenings and 10.6 more breast cancer diagnoses. This work quantifies the impact of COVID-19 associated SAH orders on cancer screenings and diagnoses and suggests the potential for delayed or missed cancer diagnoses. This evident disruption in providing routine medical care also highlights the importance of strengthening health systems (or organizations) and improving resilience to natural disasters and infectious disease outbreaks. Elsevier Inc. 2022-05 2022-03-17 /pmc/articles/PMC8926435/ /pubmed/35305996 http://dx.doi.org/10.1016/j.ypmed.2022.107010 Text en © 2022 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Carroll, Rachel
Duea, Stephanie R.
Prentice, Christopher R.
Implications for health system resilience: Quantifying the impact of the COVID-19-related stay at home orders on cancer screenings and diagnoses in southeastern North Carolina, USA
title Implications for health system resilience: Quantifying the impact of the COVID-19-related stay at home orders on cancer screenings and diagnoses in southeastern North Carolina, USA
title_full Implications for health system resilience: Quantifying the impact of the COVID-19-related stay at home orders on cancer screenings and diagnoses in southeastern North Carolina, USA
title_fullStr Implications for health system resilience: Quantifying the impact of the COVID-19-related stay at home orders on cancer screenings and diagnoses in southeastern North Carolina, USA
title_full_unstemmed Implications for health system resilience: Quantifying the impact of the COVID-19-related stay at home orders on cancer screenings and diagnoses in southeastern North Carolina, USA
title_short Implications for health system resilience: Quantifying the impact of the COVID-19-related stay at home orders on cancer screenings and diagnoses in southeastern North Carolina, USA
title_sort implications for health system resilience: quantifying the impact of the covid-19-related stay at home orders on cancer screenings and diagnoses in southeastern north carolina, usa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926435/
https://www.ncbi.nlm.nih.gov/pubmed/35305996
http://dx.doi.org/10.1016/j.ypmed.2022.107010
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