Shaping care home COVID-19 testing policy: a protocol for a pragmatic cluster randomised controlled trial of asymptomatic testing compared with standard care in care home staff (VIVALDI-CT).


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
14 11 2023
Historique:
medline: 16 11 2023
pubmed: 15 11 2023
entrez: 14 11 2023
Statut: epublish

Résumé

Care home residents have experienced significant morbidity, mortality and disruption following outbreaks of SARS-CoV-2. Regular SARS-CoV-2 testing of care home staff was introduced to reduce transmission of infection, but it is unclear whether this remains beneficial. This trial aims to investigate whether use of regular asymptomatic staff testing, alongside funding to reimburse sick pay for those who test positive and meet costs of employing agency staff, is a feasible and effective strategy to reduce COVID-19 impact in care homes. The VIVALDI-Clinical Trial is a multicentre, open-label, cluster randomised controlled, phase III/IV superiority trial in up to 280 residential and/or nursing homes in England providing care to adults aged >65 years. All regular and agency staff will be enrolled, excepting those who opt out. Homes will be randomised to the intervention arm (twice weekly asymptomatic staff testing for SARS-CoV-2) or the control arm (current national testing guidance). Staff who test positive for SARS-CoV-2 will self-isolate and receive sick pay. Care providers will be reimbursed for costs associated with employing temporary staff to backfill for absence arising directly from the trial.The trial will be delivered by a multidisciplinary research team through a series of five work packages.The primary outcome is the incidence of COVID-19-related hospital admissions in residents. Secondary outcomes include the number and duration of outbreaks and home closures. Health economic and modelling analyses will investigate the cost-effectiveness and cost consequences of the testing intervention. A process evaluation using qualitative interviews will be conducted to understand intervention roll out and identify areas for optimisation to inform future intervention scale-up, should the testing approach prove effective and cost-effective. Stakeholder engagement will be undertaken to enable the sector to plan for results and their implications and to coproduce recommendations on the use of testing for policy-makers. The study has been approved by the London-Bromley Research Ethics Committee (reference number 22/LO/0846) and the Health Research Authority (22/CAG/0165). The results of the trial will be disseminated regardless of the direction of effect. The publication of the results will comply with a trial-specific publication policy and will include submission to open access journals. A lay summary of the results will also be produced to disseminate the results to participants. ISRCTN13296529.

Identifiants

pubmed: 37963697
pii: bmjopen-2023-076210
doi: 10.1136/bmjopen-2023-076210
pmc: PMC10649600
doi:

Banques de données

ISRCTN
['ISRCTN13296529']

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e076210

Subventions

Organisme : Department of Health
ID : 154310
Pays : United Kingdom

Informations de copyright

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Natalie Adams (N)

Institute of Health informatics, University College London, London, UK.

Oliver Stirrup (O)

Institute for Global Health, University College London, London, UK.

James Blackstone (J)

Comprehensive Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, UK.

Maria Krutikov (M)

Institute of Health informatics, University College London, London, UK.

Jackie A Cassell (JA)

Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, UK.
UK Health Security Agency, London, UK.

Dorina Cadar (D)

Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, UK.
Centre for Dementia Studies, Department of Neuroscience, Brighton and Sussex Medical School, Brighton, UK.

Catherine Henderson (C)

Care Policy and Evaluation Centre, The London School of Economics and Political Science, London, UK.

Martin Knapp (M)

Care Policy and Evaluation Centre, The London School of Economics and Political Science, London, UK.

Lara Goscé (L)

Institute for Global Health, University College London, London, UK.
Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Ruth Leiser (R)

Department of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.

Martyn Regan (M)

UK Health Security Agency, London, UK.
Division of Population Health, Health Services Research & Primary Care, School of Health Sciences & Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.

Iona Cullen-Stephenson (I)

Comprehensive Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, UK.

Robert Fenner (R)

Comprehensive Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, UK.

Arpana Verma (A)

Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.

Adam Gordon (A)

Academic Unit of Injury, Recovery and Inflammation Sciences (IRIS), School of Medicine, University of Nottingham, Nottingham, UK.
Applied Research Collaboration-East Midlands (ARC-EM), NIHR, Nottingham, UK.

Susan Hopkins (S)

UK Health Security Agency, London, UK.

Andrew Copas (A)

Institute for Global Health, University College London, London, UK.

Nick Freemantle (N)

Comprehensive Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, UK.

Paul Flowers (P)

Department of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.

Laura Shallcross (L)

Institute of Health informatics, University College London, London, UK l.shallcross@ucl.ac.uk.

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Classifications MeSH