'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).

coronavirus mortality patient and public involvement risk information

Journal

Clinical medicine (London, England)
ISSN: 1473-4893
Titre abrégé: Clin Med (Lond)
Pays: England
ID NLM: 101092853

Informations de publication

Date de publication:
Nov 2021
Historique:
entrez: 4 12 2021
pubmed: 5 12 2021
medline: 15 12 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 34862222
pii: 21/6/e620
doi: 10.7861/clinmed.2021-0386
pmc: PMC8806292
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e620-e628

Subventions

Organisme : Medical Research Council
ID : G0902393
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_13041
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K006584/1
Pays : United Kingdom

Informations de copyright

© Royal College of Physicians 2021. All rights reserved.

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Auteurs

Amitava 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.

Laura Pasea (L)

University College London, London, UK.

Sinduja Manohar (S)

Health Data Research UK, London, UK.

Alvina G Lai (AG)

University College London, London, UK, and associate, Health Data Research UK, London, UK.

Eade Hemingway (E)

Flourish, London, UK.

Izaak Sofer (I)

AllBright, London, UK.

Michail Katsoulis (M)

University College London, London, UK.

Harpreet Sood (H)

Health Education England, London, UK, and general practitioner, Hurley Group Practice, London, UK.

Andrew Morris (A)

Health Data Research UK, London, UK.

Caroline Cake (C)

Health Data Research UK, London, UK.

Natalie K Fitzpatrick (NK)

University College London, London, UK, and associate, Health Data Research UK, London, UK.

Bryan 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.

Spiros Denaxas (S)

University College London, London, UK, associate, Health Data Research UK, and research fellow, Alan Turing Institute, London, UK.

Harry 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.

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Classifications MeSH