4.6 Article

Estimated impact of the COVID-19 pandemic on cancer services and excess 1-year mortality in people with cancer and multimorbidity: near real-time data on cancer care, cancer deaths and a population-based cohort study

Journal

BMJ OPEN
Volume 10, Issue 11, Pages -

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2020-043828

Keywords

COVID-19; oncology; health informatics

Funding

  1. UK Research and Innovation through the government's Industrial Strategy Challenge Fund [MC_PC_19006]
  2. Wellcome Trust [204841/Z/16/Z]
  3. National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre [BRC714/HI/RW/101440]
  4. NIHR Great Ormond Street Hospital Biomedical Research Centre [19RX02]
  5. Health Data Research UK Better Care Catalyst Award
  6. NIHR
  7. British Medical Association
  8. Astra-Zeneca
  9. UK Research and Innovation
  10. NIHR Great Ormond Street Hospital Biomedical Research Centre
  11. UCLPartners
  12. NIHR University College London Hospitals Biomedical Research Centre - Health Data Research UK [LOND1]
  13. UK Medical Research Council
  14. Engineering and Physical Sciences Research Council
  15. Economic and Social Research Council
  16. Department of Health and Social Care (England)
  17. Chief Scientist Office of the Scottish Government Health and Social Care Directorates
  18. Health and Social Care Research and Development Division (Welsh Government)
  19. Public Health Agency (Northern Ireland)
  20. British Heart Foundation
  21. Wellcome Trust
  22. BigData@ Heart Consortium
  23. Innovative Medicines Initiative-2 Joint Undertaking [116 074]
  24. MRC [MC_PC_19006] Funding Source: UKRI

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Objectives To estimate the impact of the COVID-19 pandemic on cancer care services and overall (direct and indirect) excess deaths in people with cancer. Methods We employed near real-time weekly data on cancer care to determine the adverse effect of the pandemic on cancer services. We also used these data, together with national death registrations until June 2020 to model deaths, in excess of background (pre-COVID-19) mortality, in people with cancer. Background mortality risks for 24 cancers with and without COVID-19-relevant comorbidities were obtained from population-based primary care cohort (Clinical Practice Research Datalink) on 3 862 012 adults in England. Results Declines in urgent referrals (median=-70.4%) and chemotherapy attendances (median=-41.5%) to a nadir (lowest point) in the pandemic were observed. By 31 May, these declines have only partially recovered; urgent referrals (median=-44.5%) and chemotherapy attendances (median=-31.2%). There were short-term excess death registrations for cancer (without COVID-19), with peak relative risk (RR) of 1.17 at week ending on 3 April. The peak RR for all-cause deaths was 2.1 from week ending on 17 April. Based on these findings and recent literature, we modelled 40% and 80% of cancer patients being affected by the pandemic in the long-term. At 40% affected, we estimated 1-year total (direct and indirect) excess deaths in people with cancer as between 7165 and 17 910, using RRs of 1.2 and 1.5, respectively, where 78% of excess deaths occured in patients with >= 1 comorbidity. Conclusions Dramatic reductions were detected in the demand for, and supply of, cancer services which have not fully recovered with lockdown easing. These may contribute, over a 1-year time horizon, to substantial excess mortality among people with cancer and multimorbidity. It is urgent to understand how the recovery of general practitioner, oncology and other hospital services might best mitigate these long-term excess mortality risks.

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