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Association between COVID-19 burden and delays to diagnosis and treatment of cancer patients in England.
- Source :
-
Journal of cancer policy [J Cancer Policy] 2022 Mar; Vol. 31, pp. 100316. Date of Electronic Publication: 2021 Dec 08. - Publication Year :
- 2022
-
Abstract
- Background: The COVID-19 pandemic has been highly disruptive for cancer care. Here, we examined the effect COVID-19 had on performance of the 62-day Cancer Waiting Time (CWT) target set by the National Health Service (NHS) in England.<br />Methods: Data were retrospectively obtained on COVID-19 hospitalisations and CWT for NHS hospitals in England (n = 121). We produced a 'COVID-19 burden' to describe the proportion of each provider's beds occupied with COVID-19 patients. COVID-19 burden was examined against CWT performance for 1st April - 30th May 2020 (Wave 1), and 1st October - 30th November 2020 (Wave 2). Two-tailed Spearman correlations were used to identify relationships between COVID-19 burden and CWT performance amongst different referral (i.e., 2-week-wait (2 W W) and internal specialist) and tumour types. Significantly correlated variables were further examined using linear regression models.<br />Results: COVID-19 burden was negatively associated with the percentage of 2 W W pathway referrals that met the CWT target in Wave 1 (r= -0.30, p = 0.001) and Wave 2 (r= -0.21, p = 0.02). These associations were supported by the results from our linear regression models (B for wave 1: -0.71; 95 %CI: -1.03 to -0.40; B for wave 2: -0.38; 95 %CI: -0.68 to -0.07). No associations were found between COVID-19 burden and internal specialist referrals or tumour type.<br />Conclusion: Increased COVID-19 burden was associated with lower compliance with CWT targets amongst urgent referrals from primary care in England. This will likely be an ongoing issue due to the backlog of patients awaiting investigations and treatment.<br />Policy Summary: As the number of cancer referrals improve, we highlight the need for changes to primary and secondary care to manage the backlog within cancer diagnostic services to alleviate the impact of COVID-19.<br /> (Copyright © 2021 Elsevier Ltd. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 2213-5383
- Volume :
- 31
- Database :
- MEDLINE
- Journal :
- Journal of cancer policy
- Publication Type :
- Academic Journal
- Accession number :
- 35559868
- Full Text :
- https://doi.org/10.1016/j.jcpo.2021.100316