Impact of the COVID-19 pandemic on health-care use among patients with cancer in England, UK: a comprehensive phase-by-phase time-series analysis across attendance types for 38 cancers.

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Title: Impact of the COVID-19 pandemic on health-care use among patients with cancer in England, UK: a comprehensive phase-by-phase time-series analysis across attendance types for 38 cancers.
Authors: Tan YY; Institute of Health Informatics, University College London, London, UK. Electronic address: yen.tan.16@ucl.ac.uk., Chang WH; Institute of Health Informatics, University College London, London, UK., Katsoulis M; Institute of Health Informatics, University College London, London, UK., Denaxas S; Institute of Health Informatics, University College London, London, UK., King KC; Department of Biology, University of Oxford, Oxford, UK; Department of Zoology, University of British Columbia, Vancouver, BC, Canada; Department of Microbiology & Immunology, University of British Columbia, Vancouver, BC, Canada., Cox MP; Department of Statistics, University of Auckland, Auckland, New Zealand; School of Natural Sciences, Massey University, Auckland, New Zealand., Davie C; Royal Free NHS Foundation Trust, London, UK., Balloux F; UCL Genetics Institute, University College London, London, UK., Lai AG; Institute of Health Informatics, University College London, London, UK.
Source: The Lancet. Digital health [Lancet Digit Health] 2024 Oct; Vol. 6 (10), pp. e691-e704.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101751302 Publication Model: Print Cited Medium: Internet ISSN: 2589-7500 (Electronic) Linking ISSN: 25897500 NLM ISO Abbreviation: Lancet Digit Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Impact of the COVID-19 pandemic on health-care use among patients with cancer in England, UK: a comprehensive phase-by-phase time-series analysis across attendance types for 38 cancers.
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  Data: <searchLink fieldCode="AU" term="%22Tan+YY%22">Tan YY</searchLink>; Institute of Health Informatics, University College London, London, UK. Electronic address: yen.tan.16@ucl.ac.uk.<br /><searchLink fieldCode="AU" term="%22Chang+WH%22">Chang WH</searchLink>; Institute of Health Informatics, University College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Katsoulis+M%22">Katsoulis M</searchLink>; Institute of Health Informatics, University College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Denaxas+S%22">Denaxas S</searchLink>; Institute of Health Informatics, University College London, London, UK.<br /><searchLink fieldCode="AU" term="%22King+KC%22">King KC</searchLink>; Department of Biology, University of Oxford, Oxford, UK; Department of Zoology, University of British Columbia, Vancouver, BC, Canada; Department of Microbiology & Immunology, University of British Columbia, Vancouver, BC, Canada.<br /><searchLink fieldCode="AU" term="%22Cox+MP%22">Cox MP</searchLink>; Department of Statistics, University of Auckland, Auckland, New Zealand; School of Natural Sciences, Massey University, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Davie+C%22">Davie C</searchLink>; Royal Free NHS Foundation Trust, London, UK.<br /><searchLink fieldCode="AU" term="%22Balloux+F%22">Balloux F</searchLink>; UCL Genetics Institute, University College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Lai+AG%22">Lai AG</searchLink>; Institute of Health Informatics, University College London, London, UK.
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  Data: <searchLink fieldCode="JN" term="%22101751302%22">The Lancet. Digital health</searchLink> [Lancet Digit Health] 2024 Oct; Vol. 6 (10), pp. e691-e704.
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        Value: 10.1016/S2589-7500(24)00152-3
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              Text: 2024 Oct
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