ArticleBMJ open2025
Hospital at home digital twin for the management of patients with frailty: a scoping review protocol.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Development of a Hospital-at-Home Digital Twin for Patients With Frailty: Scoping Review.Journal of medical Internet research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPatients with frailty are at risk of adverse outcomes such as mortality, falls, deconditioning and hospital readmissions. With an increasingly ageing population and a greater likelihood of frailty, there is a significant need to ensure that patients are managed in the right place and at the right time. There has been a focus on offering hospital-level care at home as a way to meet this need, incorporating strategies to integrate care and use digital solutions. Digital twin (DT) technology is one advancement, offering a virtual replica of an object/environment, which has the potential to make use of real-time data personalised for an individual patient and/or setting to inform and support patient management decisions. We are yet to realise the full potential of this new way of integrated working and technological advancements. This scoping review aims to ascertain the current evidence for the components of the DT architecture to enable the monitoring and management of patients with frailty living at home.
methodsThis scoping review will follow the Joanna Briggs Institute methodology for scoping reviews and will be reported following the Preferred Reporting Items for Systematic Reviews Extension for Scoping Reviews guidelines. The following electronic databases will be searched: Medline, Embase, CINAHL, Cochrane CENTRAL, Web of Science and Scopus. Relevant websites will be searched for grey literature or case reports to capture the required information, as well as any documents provided by stakeholders. Primary studies, published in the English language from 2019 to the present day, which report on the monitoring or management of patients with long-term conditions and frailty within their home environment, will be included. Screening will be conducted by at least two independent reviewers against eligibility criteria, and a piloted data extraction form will be used to align with the research questions. Qualitative content analysis will be used. Data will be presented in tabular form, as well as descriptive and illustrative formats, to address the objectives of this review. ETHICS AND DISSEMINATION: This scoping review does not require ethical approval. The findings of this review will be disseminated through peer-reviewed journals and conferences and will support the development of a conceptual model of a hospital-at-home DT for the management of patients with frailty.
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Registered trials
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.