Evidence map›Paper›PMID 40331105›Full record

ArticleOxford open digital health2025

A service evaluation of virtual wards in Cornwall, UK.

Helen Lyndon, Tracey Viney, Vicki Slade

Abstract read
In one paragraph

Article in Oxford open digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

3 authors.

Helen LyndonUniversity of Plymouth, South West Clinical School, Drake Circus, Plymouth, Devon, PL4 8AA, UK.ORCID https://orcid.org/0000-0003-4952-0114
Tracey VineyMarjon University, School of Health and Wellbeing, Derriford Road, Plymouth, PL6 8BH, Devon, UK.
Vicki SladeCornwall Partnership NHS Foundation Trust, Digital Health Service, Bodmin, Carew House, Beacon Technology Park, Dunmere Road, Bodmin, PL31 2QN, Cornwall, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This service evaluation provides an overview of the virtual ward model in Cornwall, UK, and was implemented using the Consolidated Framework for Implementation Research (CFIR). Interviews were conducted with virtual ward patients and clinicians and analysed using thematic analysis. A virtual ward is a digitally enabled service enabling people requiring hospital-level care to receive that care at home, either as an alternative to hospital admission or by facilitating an earlier discharge. Four themes emerged from the data: (i) Readiness for change: the virtual ward service was not embedded in existing health provision with scepticism and reluctance to refer to the virtual ward. (ii) Confidence and trust: due to system incompatibility issues, clinicians lost confidence and trust in the remote monitoring system; however, patients had high levels of trust in the virtual ward staff, increasing their confidence to remain at home. (iii) Digital challenges: using the monitoring equipment was challenging for some patients with issues of digital exclusion including understanding the technology and connection difficulties. (iv) Impact: despite the challenges, the virtual ward was highly valued by patients and supports person-centred care, offering a safe alternative to hospital admission. Virtual wards in Cornwall were rapidly implemented leading to some implementation barriers; nonetheless, the overwhelming response from patients demonstrated how they valued the virtual ward as a viable alternative to hospital admission and how the compassion and professionalism shown by the virtual ward clinicians made them feel safe and supported in their own homes.

Indexed as

community healthcaredigital healthservice evaluationvirtual ward

Identifiers

PMID40331105
PMCPMC12053098

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.