Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Oosterhoff, Marije, Kouwenberg, Lisanne H.J.A., Rotteveel, Adriënne H., van Vliet, Ella D., Stadhouders, Niek, de Wit, G. Ardine, van Giessen, Anoukh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
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
_version_ 1784863332370481152
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
work_keys_str_mv AT oosterhoffmarije estimatingthehealthimpactofdelayedelectivecareduringthecovid19pandemicinthenetherlands
AT kouwenberglisannehja estimatingthehealthimpactofdelayedelectivecareduringthecovid19pandemicinthenetherlands
AT rotteveeladrienneh estimatingthehealthimpactofdelayedelectivecareduringthecovid19pandemicinthenetherlands
AT vanvlietellad estimatingthehealthimpactofdelayedelectivecareduringthecovid19pandemicinthenetherlands
AT stadhoudersniek estimatingthehealthimpactofdelayedelectivecareduringthecovid19pandemicinthenetherlands
AT dewitgardine estimatingthehealthimpactofdelayedelectivecareduringthecovid19pandemicinthenetherlands
AT vangiessenanoukh estimatingthehealthimpactofdelayedelectivecareduringthecovid19pandemicinthenetherlands