Evidence map›Paper›PMID 42204627›Full record

ArticleBMC health services research2026

Commissioners' views and experiences of implementing virtual wards in Integrated Care Systems in England: a longitudinal qualitative study using the Consolidated Framework for Implementation Research (CFIR).

Laura J McGowan, Beth Nichol, Jan Lecouturier, Helen Banks, Raenhha Dhami, Michael P Kelly, Falko F Sniehotta, Fiona Graham

Abstract read
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Laura J McGowanNIHR Policy Research Unit Behavioural and Social Sciences - Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK. laura.mcgowan@newcastle.ac.uk.
Beth NicholNIHR Policy Research Unit Behavioural and Social Sciences - Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Jan LecouturierNIHR Policy Research Unit Behavioural and Social Sciences - Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Helen BanksNIHR Policy Research Unit Behavioural and Social Sciences - Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Raenhha DhamiNIHR Policy Research Unit Behavioural and Social Sciences - Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Michael P KellyNIHR Policy Research Unit Behavioural and Social Sciences - Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Falko F SniehottaNIHR Policy Research Unit Behavioural and Social Sciences - Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Fiona GrahamNIHR Policy Research Unit Behavioural and Social Sciences - Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.

Funding

NIHR PRU in Behavioural Science PR-PRU-1217-20501
6 · The paper itself

Abstract

backgroundVirtual wards (VWs) have been rapidly adopted within the National Health Service (NHS) in England, showing promise for reducing hospital admissions and length of hospital stays. Additionally, VWs are reportedly highly acceptable to patients and may be preferable to physical wards (PWs) in some instances. However, little research exists on how to optimise the implementation of VWs from a strategic perspective. The current study aimed to investigate commissioners' perceptions and experiences of implementing VWs in integrated care systems (ICSs) in England, with a particular focus on changes and continuities in implementation influences over time.

methodsA longitudinal qualitative design was adopted. Semi-structured interviews were conducted via Teams with commissioners involved in the implementation of VWs at two timepoints (TP) six months apart; TP1 (n = 20) and TP2 (n = 14). Interviews focused on perceptions and opinions of the VWs programme, including barriers and facilitators to successful implementation. Data were analysed using the Consolidated Framework for Implementation Research (CFIR) in line with the Framework Method. The CFIR comprises five domains: Innovation, Outer Setting, Inner Setting, Individuals, and Implementation Process.

resultsImplementation progress diverged across sites at follow-up, with some scaling back due to challenges while others expanded their VW programs. On a domain level, Inner Setting (ICS) constructs appeared most influential on implementation over time, with constructs in the Individuals domain seemingly becoming less important. The main barriers to implementation included: limited staff capacity, recruitment issues, and inefficient communication and interoperability of systems (Inner Setting); uncertainty around long-term funding (Outer Setting); inequalities in patients' home circumstances and lack of buy-in from clinicians (Individuals); and lack of detailed implementation planning (Implementation processes). Key facilitators included: building on existing similar services (Innovation); collaborative working (Inner Setting); and national guidance (Outer Setting) with flexibility to adapt to local contexts (Implementation Process). Commissioners perceived patient acceptability to be generally high, with a reported preference for receiving care at home.

conclusionsBuy-in from clinicians, collaboration, detailed advanced planning on an ICS level, and sustainable funding are particularly important for implementation of VWs. To avoid generating inequalities, tailored additional support should be provided to disadvantaged patients. Directions for future research includes exploring the perspectives of clinicians.

Indexed as

Delivery of Health Care, IntegratedEnglandHumansInterviews as TopicLongitudinal StudiesQualitative ResearchState MedicineConsolidated framework for implementation researchFramework analysisHospital at homeImplementation sciencePatient-centred careVirtual wards

Identifiers

PMID42204627
PMCPMC13404884

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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.