TY - JOUR
T1 - Estimating the health impact of delayed elective care during the COVID -19 pandemic in the Netherlands
AU - Oosterhoff, Marije
AU - Kouwenberg, Lisanne H.J.A.
AU - Rotteveel, Adriënne H.
AU - van Vliet, Ella D.
AU - Stadhouders, Niek
AU - de Wit, G. Ardine
AU - van Giessen, Anoukh
N1 - Funding Information:
We thank Geert Jan Kommer and Peter Paul Klein for their helpful advice and suggestions. The authors (MO, LK, AR, EV, NS, AW and AG) are current or former employees of the National Institute of Public Health and the Environment (RIVM) . RIVM received a grant from the Dutch Ministry of Health, Welfare and Sports for the COVID-19 research program, with which this study was funded. The funder had no role in the study design, data collection, analysis and writing of the manuscript.
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/3
Y1 - 2023/3
N2 - 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.
AB - 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.
KW - COVID-19
KW - Delayed care
KW - Elective surgery
KW - Pandemic
KW - Population health
KW - Quality-adjusted life years
KW - n/a OA procedure
UR - https://www.scopus.com/pages/publications/85148773258
U2 - 10.1016/j.socscimed.2023.115658
DO - 10.1016/j.socscimed.2023.115658
M3 - Article
C2 - 36689820
AN - SCOPUS:85148773258
SN - 0277-9536
VL - 320
JO - Social Science and Medicine
JF - Social Science and Medicine
M1 - 115658
ER -