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'What is the risk to me from COVID-19?': Public involvement in providing mortality risk information for people with 'high-risk' conditions for COVID-19 (OurRisk.CoV).
Banerjee, Amitava; Pasea, Laura; Manohar, Sinduja; Lai, Alvina G; Hemingway, Eade; Sofer, Izaak; Katsoulis, Michail; Sood, Harpreet; Morris, Andrew; Cake, Caroline; Fitzpatrick, Natalie K; Williams, Bryan; Denaxas, Spiros; Hemingway, Harry.
  • Banerjee A; University College London, London, UK, honorary consultant cardiologist, University College London Hospitals NHS Trust, London, UK, and honorary consultant cardiologist, Barts Health NHS Trust, London, UK ami.banerjee@ucl.ac.uk.
  • Pasea L; University College London, London, UK.
  • Manohar S; Health Data Research UK, London, UK.
  • Lai AG; University College London, London, UK, and associate, Health Data Research UK, London, UK.
  • Hemingway E; Flourish, London, UK.
  • Sofer I; AllBright, London, UK.
  • Katsoulis M; University College London, London, UK.
  • Sood H; Health Education England, London, UK, and general practitioner, Hurley Group Practice, London, UK.
  • Morris A; Health Data Research UK, London, UK.
  • Cake C; Health Data Research UK, London, UK.
  • Fitzpatrick NK; University College London, London, UK, and associate, Health Data Research UK, London, UK.
  • Williams B; University College London Hospitals NHS Trust, London, UK, professor of medicine, University College London, London, UK, and director, UCL Hospitals NIHR Biomedical Research Centre.
  • Denaxas S; University College London, London, UK, associate, Health Data Research UK, and research fellow, Alan Turing Institute, London, UK.
  • Hemingway H; University College London, London, UK, research director, Health Data Research UK, London, UK, and director of healthcare informatics, genomics/omics, data science, UCL Hospitals NIHR Biomedical Research Centre, London, UK.
Clin Med (Lond) ; 21(6): e620-e628, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1551859
ABSTRACT
Patients and public have sought mortality risk information throughout the pandemic, but their needs may not be served by current risk prediction tools. Our mixed methods study involved (1) systematic review of published risk tools for prognosis, (2) provision and patient testing of new mortality risk estimates for people with high-risk conditions and (3) iterative patient and public involvement and engagement with qualitative analysis. Only one of 53 (2%) previously published risk tools involved patients or the public, while 11/53 (21%) had publicly accessible portals, but all for use by clinicians and researchers.Among people with a wide range of underlying conditions, there has been sustained interest and engagement in accessible and tailored, pre- and postpandemic mortality information. Informed by patient feedback, we provide such information in 'five clicks' (https//covid19-phenomics.org/OurRiskCoV.html), as context for decision making and discussions with health professionals and family members. Further development requires curation and regular updating of NHS data and wider patient and public engagement.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Clin Med (Lond) Year: 2021 Document Type: Article Affiliation country: Clinmed.2021-0386

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Clin Med (Lond) Year: 2021 Document Type: Article Affiliation country: Clinmed.2021-0386