Elective surgery cancellations due to the COVID-19 pandemic: global predictive modelling to inform surgical recovery plans

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Elective surgery cancellations due to the COVID-19 pandemic : global predictive modelling to inform surgical recovery plans. / Blichfeldt, Louise; Moller, Kirsten; Nielsen, Jeppe Sylvest; Simonsen, Martin; Hansen, Frank; Bestle, Morten; Hansen, Christian Steen; Afshari, Arash; Matos, Ricardo; Chew, Michelle S.; Wernerman, Jan; Hughes, Thomas; Parker, Robert; Thomas, Richard; Alexander, David; Rasmussen, Lars; Matos, Ricardo; Chew, Michelle S.; Yang, Yang; Wang, Zhipeng; Tang, Jing; Wang, Jun; Zhang, Min; Zhang, Yuan; Sun, Yu; Zhao, Lei; Li, Hui; Zhang, Jie; Rasmussen, Bodil Steen; Gätke, Mona Ring; Lange, Kai Henrik Wiborg; Larsen, Michael; Rasmussen, Lars; Pedersen, Karen; Ekelund, Kim; Chew, Michelle S.; Madsen, A. S.M.; COVIDSurg Collaborative.

In: British Journal of Surgery, Vol. 107, No. 11, 2020, p. 1440-1449.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Blichfeldt, L, Moller, K, Nielsen, JS, Simonsen, M, Hansen, F, Bestle, M, Hansen, CS, Afshari, A, Matos, R, Chew, MS, Wernerman, J, Hughes, T, Parker, R, Thomas, R, Alexander, D, Rasmussen, L, Matos, R, Chew, MS, Yang, Y, Wang, Z, Tang, J, Wang, J, Zhang, M, Zhang, Y, Sun, Y, Zhao, L, Li, H, Zhang, J, Rasmussen, BS, Gätke, MR, Lange, KHW, Larsen, M, Rasmussen, L, Pedersen, K, Ekelund, K, Chew, MS, Madsen, ASM & COVIDSurg Collaborative 2020, 'Elective surgery cancellations due to the COVID-19 pandemic: global predictive modelling to inform surgical recovery plans', British Journal of Surgery, vol. 107, no. 11, pp. 1440-1449. https://doi.org/10.1002/bjs.11746

APA

Blichfeldt, L., Moller, K., Nielsen, J. S., Simonsen, M., Hansen, F., Bestle, M., Hansen, C. S., Afshari, A., Matos, R., Chew, M. S., Wernerman, J., Hughes, T., Parker, R., Thomas, R., Alexander, D., Rasmussen, L., Matos, R., Chew, M. S., Yang, Y., ... COVIDSurg Collaborative (2020). Elective surgery cancellations due to the COVID-19 pandemic: global predictive modelling to inform surgical recovery plans. British Journal of Surgery, 107(11), 1440-1449. https://doi.org/10.1002/bjs.11746

Vancouver

Blichfeldt L, Moller K, Nielsen JS, Simonsen M, Hansen F, Bestle M et al. Elective surgery cancellations due to the COVID-19 pandemic: global predictive modelling to inform surgical recovery plans. British Journal of Surgery. 2020;107(11):1440-1449. https://doi.org/10.1002/bjs.11746

Author

Blichfeldt, Louise ; Moller, Kirsten ; Nielsen, Jeppe Sylvest ; Simonsen, Martin ; Hansen, Frank ; Bestle, Morten ; Hansen, Christian Steen ; Afshari, Arash ; Matos, Ricardo ; Chew, Michelle S. ; Wernerman, Jan ; Hughes, Thomas ; Parker, Robert ; Thomas, Richard ; Alexander, David ; Rasmussen, Lars ; Matos, Ricardo ; Chew, Michelle S. ; Yang, Yang ; Wang, Zhipeng ; Tang, Jing ; Wang, Jun ; Zhang, Min ; Zhang, Yuan ; Sun, Yu ; Zhao, Lei ; Li, Hui ; Zhang, Jie ; Rasmussen, Bodil Steen ; Gätke, Mona Ring ; Lange, Kai Henrik Wiborg ; Larsen, Michael ; Rasmussen, Lars ; Pedersen, Karen ; Ekelund, Kim ; Chew, Michelle S. ; Madsen, A. S.M. ; COVIDSurg Collaborative. / Elective surgery cancellations due to the COVID-19 pandemic : global predictive modelling to inform surgical recovery plans. In: British Journal of Surgery. 2020 ; Vol. 107, No. 11. pp. 1440-1449.

Bibtex

@article{fd0549c23f0b42f9962ad13436ba5836,
title = "Elective surgery cancellations due to the COVID-19 pandemic: global predictive modelling to inform surgical recovery plans",
abstract = "Background: The COVID-19 pandemic has disrupted routine hospital services globally. This study estimated the total number of adult elective operations that would be cancelled worldwide during the 12 weeks of peak disruption due to COVID-19. Methods: A global expert response study was conducted to elicit projections for the proportion of elective surgery that would be cancelled or postponed during the 12 weeks of peak disruption. A Bayesian β-regression model was used to estimate 12-week cancellation rates for 190 countries. Elective surgical case-mix data, stratified by specialty and indication (surgery for cancer versus benign disease), were determined. This case mix was applied to country-level surgical volumes. The 12-week cancellation rates were then applied to these figures to calculate the total number of cancelled operations. Results: The best estimate was that 28 404 603 operations would be cancelled or postponed during the peak 12 weeks of disruption due to COVID-19 (2 367 050 operations per week). Most would be operations for benign disease (90·2 per cent, 25 638 922 of 28 404 603). The overall 12-week cancellation rate would be 72·3 per cent. Globally, 81·7 per cent of operations for benign conditions (25 638 922 of 31 378 062), 37·7 per cent of cancer operations (2 324 070 of 6 162 311) and 25·4 per cent of elective caesarean sections (441 611 of 1 735 483) would be cancelled or postponed. If countries increased their normal surgical volume by 20 per cent after the pandemic, it would take a median of 45 weeks to clear the backlog of operations resulting from COVID-19 disruption. Conclusion: A very large number of operations will be cancelled or postponed owing to disruption caused by COVID-19. Governments should mitigate against this major burden on patients by developing recovery plans and implementing strategies to restore surgical activity safely.",
author = "Louise Blichfeldt and Kirsten Moller and Nielsen, {Jeppe Sylvest} and Martin Simonsen and Frank Hansen and Morten Bestle and Hansen, {Christian Steen} and Arash Afshari and Ricardo Matos and Chew, {Michelle S.} and Jan Wernerman and Thomas Hughes and Robert Parker and Richard Thomas and David Alexander and Lars Rasmussen and Ricardo Matos and Chew, {Michelle S.} and Yang Yang and Zhipeng Wang and Jing Tang and Jun Wang and Min Zhang and Yuan Zhang and Yu Sun and Lei Zhao and Hui Li and Jie Zhang and Rasmussen, {Bodil Steen} and G{\"a}tke, {Mona Ring} and Lange, {Kai Henrik Wiborg} and Michael Larsen and Lars Rasmussen and Karen Pedersen and Kim Ekelund and Chew, {Michelle S.} and Madsen, {A. S.M.} and {COVIDSurg Collaborative}",
year = "2020",
doi = "10.1002/bjs.11746",
language = "English",
volume = "107",
pages = "1440--1449",
journal = "British Journal of Surgery",
issn = "0007-1323",
publisher = "JohnWiley & Sons Ltd",
number = "11",

}

RIS

TY - JOUR

T1 - Elective surgery cancellations due to the COVID-19 pandemic

T2 - global predictive modelling to inform surgical recovery plans

AU - Blichfeldt, Louise

AU - Moller, Kirsten

AU - Nielsen, Jeppe Sylvest

AU - Simonsen, Martin

AU - Hansen, Frank

AU - Bestle, Morten

AU - Hansen, Christian Steen

AU - Afshari, Arash

AU - Matos, Ricardo

AU - Chew, Michelle S.

AU - Wernerman, Jan

AU - Hughes, Thomas

AU - Parker, Robert

AU - Thomas, Richard

AU - Alexander, David

AU - Rasmussen, Lars

AU - Matos, Ricardo

AU - Chew, Michelle S.

AU - Yang, Yang

AU - Wang, Zhipeng

AU - Tang, Jing

AU - Wang, Jun

AU - Zhang, Min

AU - Zhang, Yuan

AU - Sun, Yu

AU - Zhao, Lei

AU - Li, Hui

AU - Zhang, Jie

AU - Rasmussen, Bodil Steen

AU - Gätke, Mona Ring

AU - Lange, Kai Henrik Wiborg

AU - Larsen, Michael

AU - Rasmussen, Lars

AU - Pedersen, Karen

AU - Ekelund, Kim

AU - Chew, Michelle S.

AU - Madsen, A. S.M.

AU - COVIDSurg Collaborative

PY - 2020

Y1 - 2020

N2 - Background: The COVID-19 pandemic has disrupted routine hospital services globally. This study estimated the total number of adult elective operations that would be cancelled worldwide during the 12 weeks of peak disruption due to COVID-19. Methods: A global expert response study was conducted to elicit projections for the proportion of elective surgery that would be cancelled or postponed during the 12 weeks of peak disruption. A Bayesian β-regression model was used to estimate 12-week cancellation rates for 190 countries. Elective surgical case-mix data, stratified by specialty and indication (surgery for cancer versus benign disease), were determined. This case mix was applied to country-level surgical volumes. The 12-week cancellation rates were then applied to these figures to calculate the total number of cancelled operations. Results: The best estimate was that 28 404 603 operations would be cancelled or postponed during the peak 12 weeks of disruption due to COVID-19 (2 367 050 operations per week). Most would be operations for benign disease (90·2 per cent, 25 638 922 of 28 404 603). The overall 12-week cancellation rate would be 72·3 per cent. Globally, 81·7 per cent of operations for benign conditions (25 638 922 of 31 378 062), 37·7 per cent of cancer operations (2 324 070 of 6 162 311) and 25·4 per cent of elective caesarean sections (441 611 of 1 735 483) would be cancelled or postponed. If countries increased their normal surgical volume by 20 per cent after the pandemic, it would take a median of 45 weeks to clear the backlog of operations resulting from COVID-19 disruption. Conclusion: A very large number of operations will be cancelled or postponed owing to disruption caused by COVID-19. Governments should mitigate against this major burden on patients by developing recovery plans and implementing strategies to restore surgical activity safely.

AB - Background: The COVID-19 pandemic has disrupted routine hospital services globally. This study estimated the total number of adult elective operations that would be cancelled worldwide during the 12 weeks of peak disruption due to COVID-19. Methods: A global expert response study was conducted to elicit projections for the proportion of elective surgery that would be cancelled or postponed during the 12 weeks of peak disruption. A Bayesian β-regression model was used to estimate 12-week cancellation rates for 190 countries. Elective surgical case-mix data, stratified by specialty and indication (surgery for cancer versus benign disease), were determined. This case mix was applied to country-level surgical volumes. The 12-week cancellation rates were then applied to these figures to calculate the total number of cancelled operations. Results: The best estimate was that 28 404 603 operations would be cancelled or postponed during the peak 12 weeks of disruption due to COVID-19 (2 367 050 operations per week). Most would be operations for benign disease (90·2 per cent, 25 638 922 of 28 404 603). The overall 12-week cancellation rate would be 72·3 per cent. Globally, 81·7 per cent of operations for benign conditions (25 638 922 of 31 378 062), 37·7 per cent of cancer operations (2 324 070 of 6 162 311) and 25·4 per cent of elective caesarean sections (441 611 of 1 735 483) would be cancelled or postponed. If countries increased their normal surgical volume by 20 per cent after the pandemic, it would take a median of 45 weeks to clear the backlog of operations resulting from COVID-19 disruption. Conclusion: A very large number of operations will be cancelled or postponed owing to disruption caused by COVID-19. Governments should mitigate against this major burden on patients by developing recovery plans and implementing strategies to restore surgical activity safely.

U2 - 10.1002/bjs.11746

DO - 10.1002/bjs.11746

M3 - Journal article

C2 - 32395848

AN - SCOPUS:85085308541

VL - 107

SP - 1440

EP - 1449

JO - British Journal of Surgery

JF - British Journal of Surgery

SN - 0007-1323

IS - 11

ER -

ID: 260042071