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Estimating the health impact of delayed elective care during the COVID -19 pandemic in the Netherlands
BACKGROUND: The COVID-19 pandemic had a major impact on the continuity of healthcare provision. Appointments, treatments and surgeries for non-COVID patients were often delayed, with associated health losses for patients involved. OBJECTIVE: To develop a method to quantify the health impact of delay...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810553/ https://www.ncbi.nlm.nih.gov/pubmed/36689820 http://dx.doi.org/10.1016/j.socscimed.2023.115658 |
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author | Oosterhoff, Marije Kouwenberg, Lisanne H.J.A. Rotteveel, Adriënne H. van Vliet, Ella D. Stadhouders, Niek de Wit, G. Ardine van Giessen, Anoukh |
author_facet | Oosterhoff, Marije Kouwenberg, Lisanne H.J.A. Rotteveel, Adriënne H. van Vliet, Ella D. Stadhouders, Niek de Wit, G. Ardine van Giessen, Anoukh |
author_sort | Oosterhoff, Marije |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic had a major impact on the continuity of healthcare provision. Appointments, treatments and surgeries for non-COVID patients were often delayed, with associated health losses for patients involved. OBJECTIVE: To develop a method to quantify the health impact of delayed elective care for non-COVID patients. METHODS: A model was developed that estimated the backlog of surgical procedures in 2020 and 2021 using hospital registry data. Quality-adjusted life years (QALYs) were obtained from the literature to estimate the non-generated QALYs related to the backlog. In sensitivity analyses QALY values were varied by type of patient prioritization. Scenario analyses for future increased surgical capacity were performed. RESULTS: In 2020 and 2021 an estimated total of 305,374 elective surgeries were delayed. These delays corresponded with 319,483 non-generated QALYs. In sensitivity analyses where QALYs varied by type of patient prioritization, non-generated QALYs amounted to 150,973 and 488,195 QALYs respectively. In scenario analyses for future increased surgical capacity in 2022–2026, the non-generated QALYs decreased to 311,220 (2% future capacity increase per year) and 300,710 (5% future capacity increase per year). Large differences exist in the extent to which different treatments contributed to the total health losses. CONCLUSIONS: The method sheds light on the indirect harm related to the COVID-19 pandemic. The results can be used for policy evaluations of COVID-19 responses, in preparations for future waves or other pandemics and in prioritizing the allocation of resources for capacity increases. |
format | Online Article Text |
id | pubmed-9810553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98105532023-01-04 Estimating the health impact of delayed elective care during the COVID -19 pandemic in the Netherlands Oosterhoff, Marije Kouwenberg, Lisanne H.J.A. Rotteveel, Adriënne H. van Vliet, Ella D. Stadhouders, Niek de Wit, G. Ardine van Giessen, Anoukh Soc Sci Med Article BACKGROUND: The COVID-19 pandemic had a major impact on the continuity of healthcare provision. Appointments, treatments and surgeries for non-COVID patients were often delayed, with associated health losses for patients involved. OBJECTIVE: To develop a method to quantify the health impact of delayed elective care for non-COVID patients. METHODS: A model was developed that estimated the backlog of surgical procedures in 2020 and 2021 using hospital registry data. Quality-adjusted life years (QALYs) were obtained from the literature to estimate the non-generated QALYs related to the backlog. In sensitivity analyses QALY values were varied by type of patient prioritization. Scenario analyses for future increased surgical capacity were performed. RESULTS: In 2020 and 2021 an estimated total of 305,374 elective surgeries were delayed. These delays corresponded with 319,483 non-generated QALYs. In sensitivity analyses where QALYs varied by type of patient prioritization, non-generated QALYs amounted to 150,973 and 488,195 QALYs respectively. In scenario analyses for future increased surgical capacity in 2022–2026, the non-generated QALYs decreased to 311,220 (2% future capacity increase per year) and 300,710 (5% future capacity increase per year). Large differences exist in the extent to which different treatments contributed to the total health losses. CONCLUSIONS: The method sheds light on the indirect harm related to the COVID-19 pandemic. The results can be used for policy evaluations of COVID-19 responses, in preparations for future waves or other pandemics and in prioritizing the allocation of resources for capacity increases. Elsevier Ltd. 2023-03 2023-01-04 /pmc/articles/PMC9810553/ /pubmed/36689820 http://dx.doi.org/10.1016/j.socscimed.2023.115658 Text en © 2023 Elsevier Ltd. 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 Oosterhoff, Marije Kouwenberg, Lisanne H.J.A. Rotteveel, Adriënne H. van Vliet, Ella D. Stadhouders, Niek de Wit, G. Ardine van Giessen, Anoukh Estimating the health impact of delayed elective care during the COVID -19 pandemic in the Netherlands |
title | Estimating the health impact of delayed elective care during the COVID -19 pandemic in the Netherlands |
title_full | Estimating the health impact of delayed elective care during the COVID -19 pandemic in the Netherlands |
title_fullStr | Estimating the health impact of delayed elective care during the COVID -19 pandemic in the Netherlands |
title_full_unstemmed | Estimating the health impact of delayed elective care during the COVID -19 pandemic in the Netherlands |
title_short | Estimating the health impact of delayed elective care during the COVID -19 pandemic in the Netherlands |
title_sort | estimating the health impact of delayed elective care during the covid -19 pandemic in the netherlands |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810553/ https://www.ncbi.nlm.nih.gov/pubmed/36689820 http://dx.doi.org/10.1016/j.socscimed.2023.115658 |
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