Evidence map›Paper›PMID 41257709›Full record

ArticleBMC health services research2025

Development of a survey tool to demonstrate opportunities and characteristics of patients suitable for criteria led discharge from hospital - a multi-centre study with participatory co-design.

Liz Lees-Deutsch, Rosslyn Young, Jenny Abraham, Emma Brangwin, Lucy Edge, Deborah Widdowson, James Parr, Aisling Crombie, Imogen Staveley, Nina Morgan

Abstract readMulticenter Study
In one paragraph

Article in BMC health services research, 2025. 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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0citing papers 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Liz Lees-DeutschCentre for Care Excellence at University Hospitals Coventry and Warwickshire NHS Trust, Coventry and Coventry University, Coventry, UK. liz.lees-deutsch@nhs.net.ORCID http://orcid.org/0000-0002-7246-0503
Rosslyn YoungNHS England, Birmingham, Midlands, UK.ORCID http://orcid.org/0009-0009-8727-6790
Jenny AbrahamUniversity Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.ORCID http://orcid.org/0000-0003-2615-7252
Emma BrangwinUniversity Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.ORCID http://orcid.org/0000-0003-2398-3727
Lucy EdgeUniversity Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.ORCID http://orcid.org/0000-0002-3252-420X
Deborah WiddowsonNHS England, Birmingham, Midlands, UK.ORCID http://orcid.org/0009-0008-0736-0996
James ParrUniversity Hospitals Birmingham NHS Trust, Birmingham, UK.ORCID http://orcid.org/0009-0000-9578-3375
Aisling CrombieHereford and Worcestershire Integrated Care Board, Hereford, UK.ORCID http://orcid.org/0000-0003-4739-9613
Imogen StaveleyCoventry and Warwickshire Integrated Care Board, Warwick, UK.ORCID http://orcid.org/0009-0005-5595-3321
Nina MorganNHS England, Birmingham, Midlands, UK.ORCID http://orcid.org/0009-0005-4682-2530

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCriteria Led Discharge (CLD) provides an opportunity to improve in-patient flow by bringing the time of patient discharge earlier in the day. CLD is an intervention that creates clinical criteria and parameters for safe patient discharge. Used effectively, it can aid the delegation of decision-making from senior decision-makers to appropriately registered clinical practitioners. Despite national guidance regarding the implementation of CLD, it remains sporadic in some healthcare settings and is not embedded into discharge practice. We aimed to develop a survey tool to understand the patients’ characteristics and opportunities for criteria-led discharge in acute hospital settings. We hypothesised the survey tool would engage multidisciplinary staff, demonstrate opportunities for CLD development, and cultivate data on patient characteristics suitable for CLD. This paper describes the development of a point prevalence patient survey tool and the opportunities for CLD.

methodsMulti-centre study with participatory co-design using multi-methods (operational and participatory action research) to sequentially develop the point prevalence survey tool, with feasibility testing. Feasibility was guided by eight developmental phases: acceptability, demand, practicality, implementation, adaptation, integration, efficacy, and expansion. User testing, through facilitated co-design enabled feedback from healthcare staff for the tool reiterations. Categorical data were analysed descriptively. Change theory was employed to understand the associated organisational elements: Capability, Opportunity, Motivation, and Behaviours (COM-B).

resultsA point prevalence survey tool capable of illuminating the characteristics and opportunities of patients potentially suitable for CLD was developed. The tool stimulated multidisciplinary team engagement at pace and scale across 39 organisations, involving 83 hospital wards. 47% (mean) of patients 2174 surveyed occupying hospital beds were suitable for a CLD. There was almost equal opportunity across elective and non-elective care, with the greatest opportunity in discharge pathways 0 and 1.

conclusionThis study authenticates the point prevalence survey tool through multicentre, multi-professional testing and application. It demonstrates the opportunities and characteristics of patients hypothetically suitable for CLD. Application of the survey tool is a sustainable and generalisable mechanism to regularly appraise the opportunities and promote communication about CLD. Staff indicated that the tool provided an acceptable and innovative approach to challenging patient discharge scenarios and consider the suitability of patients and condition groups for CLD.

Indexed as

Patient DischargeFemaleHumansMaleSurveys and QuestionnairesPatient dischargePatient flow, healthcare deliveryPatient selection

Identifiers

PMID41257709
PMCPMC12628960

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.