Healthcare in England was affected by the COVID-19 pandemic across the pancreatic cancer pathway: A cohort study using OpenSAFELY-TPP.

COVID-19 epidemiology global health healthcare healthcare crisis healthcare disruption human pancreatic cancer

Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
10 08 2023
Historique:
received: 03 12 2022
accepted: 14 07 2023
medline: 11 8 2023
pubmed: 10 8 2023
entrez: 10 8 2023
Statut: epublish

Résumé

Healthcare across all sectors, in the UK and globally, was negatively affected by the COVID-19 pandemic. We analysed healthcare services delivered to people with pancreatic cancer from January 2015 to March 2023 to investigate the effect of the COVID-19 pandemic. With the approval of NHS England, and drawing from a nationally representative OpenSAFELY-TPP dataset of 24 million patients (over 40% of the English population), we undertook a cohort study of people diagnosed with pancreatic cancer. We queried electronic healthcare records for information on the provision of healthcare services across the pancreatic cancer pathway. To estimate the effect of the COVID-19 pandemic, we predicted the rates of healthcare services if the pandemic had not happened. We used generalised linear models and the pre-pandemic data from January 2015 to February 2020 to predict rates in March 2020 to March 2023. The 95% confidence intervals of the predicted values were used to estimate the significance of the difference between the predicted and observed rates. The rate of pancreatic cancer and diabetes diagnoses in the cohort was not affected by the pandemic. There were 26,840 people diagnosed with pancreatic cancer from January 2015 to March 2023. The mean age at diagnosis was 72 (±11 SD), 48% of people were female, 95% were of White ethnicity, and 40% were diagnosed with diabetes. We found a reduction in surgical resections by 25-28% during the pandemic. In addition, 20%, 10%, and 4% fewer people received body mass index, glycated haemoglobin, and liver function tests, respectively, before they were diagnosed with pancreatic cancer. There was no impact of the pandemic on the number of people making contact with primary care, but the number of contacts increased on average by 1-2 per person amongst those who made contact. Reporting of jaundice decreased by 28%, but recovered within 12 months into the pandemic. Emergency department visits, hospital admissions, and deaths were not affected. The pandemic affected healthcare in England across the pancreatic cancer pathway. Positive lessons could be learnt from the services that were resilient and those that recovered quickly. The reductions in healthcare experienced by people with cancer have the potential to lead to worse outcomes. Current efforts should focus on addressing the unmet needs of people with cancer. This work was jointly funded by the Wellcome Trust (222097/Z/20/Z); MRC (MR/V015757/1, MC_PC-20059, MR/W016729/1); NIHR (NIHR135559, COV-LT2-0073), and Health Data Research UK (HDRUK2021.000, 2021.0157). This work was funded by Medical Research Council (MRC) grant reference MR/W021390/1 as part of the postdoctoral fellowship awarded to AL and undertaken at the Bennett Institute, University of Oxford. The views expressed are those of the authors and not necessarily those of the NIHR, NHS England, UK Health Security Agency (UKHSA), or the Department of Health and Social Care. Funders had no role in the study design, collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.

Sections du résumé

Background
Healthcare across all sectors, in the UK and globally, was negatively affected by the COVID-19 pandemic. We analysed healthcare services delivered to people with pancreatic cancer from January 2015 to March 2023 to investigate the effect of the COVID-19 pandemic.
Methods
With the approval of NHS England, and drawing from a nationally representative OpenSAFELY-TPP dataset of 24 million patients (over 40% of the English population), we undertook a cohort study of people diagnosed with pancreatic cancer. We queried electronic healthcare records for information on the provision of healthcare services across the pancreatic cancer pathway. To estimate the effect of the COVID-19 pandemic, we predicted the rates of healthcare services if the pandemic had not happened. We used generalised linear models and the pre-pandemic data from January 2015 to February 2020 to predict rates in March 2020 to March 2023. The 95% confidence intervals of the predicted values were used to estimate the significance of the difference between the predicted and observed rates.
Results
The rate of pancreatic cancer and diabetes diagnoses in the cohort was not affected by the pandemic. There were 26,840 people diagnosed with pancreatic cancer from January 2015 to March 2023. The mean age at diagnosis was 72 (±11 SD), 48% of people were female, 95% were of White ethnicity, and 40% were diagnosed with diabetes. We found a reduction in surgical resections by 25-28% during the pandemic. In addition, 20%, 10%, and 4% fewer people received body mass index, glycated haemoglobin, and liver function tests, respectively, before they were diagnosed with pancreatic cancer. There was no impact of the pandemic on the number of people making contact with primary care, but the number of contacts increased on average by 1-2 per person amongst those who made contact. Reporting of jaundice decreased by 28%, but recovered within 12 months into the pandemic. Emergency department visits, hospital admissions, and deaths were not affected.
Conclusions
The pandemic affected healthcare in England across the pancreatic cancer pathway. Positive lessons could be learnt from the services that were resilient and those that recovered quickly. The reductions in healthcare experienced by people with cancer have the potential to lead to worse outcomes. Current efforts should focus on addressing the unmet needs of people with cancer.
Funding
This work was jointly funded by the Wellcome Trust (222097/Z/20/Z); MRC (MR/V015757/1, MC_PC-20059, MR/W016729/1); NIHR (NIHR135559, COV-LT2-0073), and Health Data Research UK (HDRUK2021.000, 2021.0157). This work was funded by Medical Research Council (MRC) grant reference MR/W021390/1 as part of the postdoctoral fellowship awarded to AL and undertaken at the Bennett Institute, University of Oxford. The views expressed are those of the authors and not necessarily those of the NIHR, NHS England, UK Health Security Agency (UKHSA), or the Department of Health and Social Care. Funders had no role in the study design, collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.

Identifiants

pubmed: 37561116
doi: 10.7554/eLife.85332
pii: 85332
pmc: PMC10414967
doi:
pii:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Medical Research Council
ID : MC_PC-20059
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/W016729/1
Pays : United Kingdom
Organisme : Department of Health
ID : COV-LT2-0073
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 222097/Z/20/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/W021390/1
Pays : United Kingdom
Organisme : Department of Health
ID : NIHR135559
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V015757/1
Pays : United Kingdom

Investigateurs

Alex J Walker (AJ)
Brian MacKenna (B)
Peter Inglesby (P)
Christopher T Rentsch (CT)
Helen J Curtis (HJ)
Caroline E Morton (CE)
Jessica Morley (J)
Amir Mehrkar (A)
Seb Bacon (S)
George Hickman (G)
Chris Bates (C)
Richard Croker (R)
David Evans (D)
Tom Ward (T)
Jonathan Cockburn (J)
Simon Davy (S)
Krishnan Bhaskaran (K)
Anna Schultze (A)
Elizabeth J Williamson (EJ)
William J Hulme (WJ)
Helen I McDonald (HI)
Laurie Tomlinson (L)
Rohini Mathur (R)
Rosalind M Eggo (RM)
Kevin Wing (K)
Angel Y S Wong (AYS)
Harriet Forbes (H)
John Tazare (J)
John Parry (J)
Frank Hester (F)
Sam Harper (S)
Ian J Douglas (IJ)
Stephen J W Evans (SJW)
Liam Smeeth (L)
Ben Goldacre (B)

Informations de copyright

© 2023, Lemanska et al.

Déclaration de conflit d'intérêts

AL, CA, LF, SB, AF, AM, PI, SD, KR, PP, AW No competing interests declared, BG received research funding from the Laura and John Arnold Foundation, the NHS National Institute for Health Research (NIHR), the NIHR School of Primary Care Research, NHS England, the NIHR Oxford Biomedical Research Centre, the Mohn-Westlake Foundation, NIHR Applied Research Collaboration Oxford and Thames Valley, the Wellcome Trust, the Good Thinking Foundation, Health Data Research UK, the Health Foundation, the World Health Organisation, UKRI MRC, Asthma UK, the British Lung Foundation, and the Longitudinal Health and Wellbeing strand of the National Core Studies programme; he is a Non-Executive Director at NHS Digital; he also receives personal income from speaking and writing for lay audiences on the misuse of science, BM is employed as a pharmacist by NHS England and seconded to the Bennett Institute. The author is a trustee of a charity ICAP. The authors has no other competing interests to declare

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Auteurs

Agnieszka Lemanska (A)

Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.

Colm Andrews (C)

Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.

Louis Fisher (L)

Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.

Seb Bacon (S)

Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.

Adam E Frampton (AE)

Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
HPB Surgical Unit, Royal Surrey NHS Foundation Trust, Guildford, United Kingdom.
Oncology Section, Surrey Cancer Research Institute, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom.

Amir Mehrkar (A)

Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.

Peter Inglesby (P)

Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.

Simon Davy (S)

Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.

Keith Roberts (K)

Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom.

Praveetha Patalay (P)

MRC Unit for Lifelong Health and Ageing and Centre for Longitudinal Studies, University College London, London, United Kingdom.

Ben Goldacre (B)

Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.

Brian MacKenna (B)

Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.

Alex J Walker (AJ)

Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.

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