Evidence map›Paper›PMID 39145098›Full record

ArticleNIHR open research2024

Protocol for VIVALDI social care: Pilot study to reduce infections, outbreaks and antimicrobial resistance in care homes for older adults.

Maria Krutikov, Zoe Fry, Borscha Azmi, Charlotte Lezard, Katie Thorn, Gareth Patefield, Graeme Childe, John Hudson, Oliver Stirrup, Arnoupe Jhass and 7 more

Abstract read
In one paragraph

Article in NIHR open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Maria KrutikovUniversity College London, London, England, WC1E 6BT, UK.ORCID https://orcid.org/0000-0002-3982-642X
Zoe FryOutstanding Society, Brighton, BN1 2RE, UK.
Borscha AzmiUniversity College London, London, England, WC1E 6BT, UK.
Charlotte LezardCare England, London, England, EC2M 4UJ, UK.
Katie ThornDigital Care Hub, London, UK.ORCID https://orcid.org/0009-0005-6643-2804
Gareth PatefieldUK Health Security Agency, London, E14 4PU, UK.
Graeme ChildeUK Health Security Agency, London, E14 4PU, UK.
John HudsonUK Health Security Agency, London, E14 4PU, UK.
Oliver StirrupUniversity College London, London, England, WC1E 6BT, UK.
Arnoupe JhassUniversity College London, London, England, WC1E 6BT, UK.
Nicola TurnerVIVALDI Engagement & Communications Working Group, London, WC1E 6BT, UK.
Jackie CassellUK Health Security Agency, London, E14 4PU, UK.
Paul FlowersUniversity of Strathclyde, Glasgow, Scotland, G1 1XQ, UK.ORCID https://orcid.org/0000-0001-6239-5616
Andrew HaywardUniversity College London, London, England, WC1E 6BT, UK.
Andrew CopasUniversity College London, London, England, WC1E 6BT, UK.
Martin GreenCare England, London, England, EC2M 4UJ, UK.
Laura ShallcrossUniversity College London, London, England, WC1E 6BT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Care home residents are vulnerable to severe outcomes from infections such as COVID-19 and influenza. However, measures to control outbreaks, such as care home closures to visitors and new admissions, have a detrimental impact on their quality of life. Many infections and outbreaks could be prevented but the first step is to measure them reliably. This is challenging in care homes due to the lack of data and research infrastructure. During the pandemic, the VIVALDI study measured COVID-19 infections in residents and staff by partnering with care providers and using routinely collected data. This study aims to establish sentinel surveillance and a research database to enable observational and future interventional studies in care homes. The project has been co-produced with care providers, staff, residents, relatives, and researchers. The study (October 2023 to March 2025) will explore the feasibility of establishing a network of 500-1500 care homes for older adults in England that is underpinned by a linked data platform. No data will be collected from staff. The cohort will be created by regularly extracting resident identifiers from Digital Social Care Records (DSCR), followed by pseudonymisation and linkage to routinely collected datasets. Following extensive consultation, we decided not to seek informed consent from residents for data collection, but they can 'opt out' of the study. Our goal is to be inclusive, and it is challenging to give every resident the opportunity to 'opt in' due to cognitive impairment and the requirement for consultees. The project, and all requests to use the data will be overseen by relatives, residents, staff, and care providers. The study has been approved by the Health Research Authority Confidentiality Advisory Group (23/CAG/0134&0135) and the South-West Frenchay Research Ethics Committee (23/SW/0105). It is funded by the UK Health Security Agency.

Indexed as

antimicrobial resistancecare homesdata linkagedata sharinginfectionoutbreakssurveillance

Identifiers

PMID39145098
PMCPMC11319897

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.