Evidence map›Paper›PMID 36978068›Full record

ArticleBMC health services research2023

How do stroke early supported discharge services achieve intensive and responsive service provision? Findings from a realist evaluation study (WISE).

Niki Chouliara, Trudi Cameron, Adrian Byrne, Sarah Lewis, Peter Langhorne, Thompson Robinson, Justin Waring, Marion Walker, Rebecca Fisher

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Niki ChouliaraNIHR Applied Research Collaboration (ARC) East Midlands, School of Medicine, University of Nottingham, Nottingham, England. niki.chouliara@nottingham.ac.uk.ORCID http://orcid.org/0000-0001-8294-0722
Trudi CameronSchool of Medicine, University of Nottingham, Nottingham, England.
Adrian ByrneSchool of Medicine, University of Nottingham, Nottingham, England.
Sarah LewisSchool of Medicine, University of Nottingham, Nottingham, England.
Peter LanghorneSchool of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, Scotland.
Thompson RobinsonDepartment of Cardiovascular Sciences, University of Leicester, Leicester, England.
Justin WaringHealth Services Management Centre, University of Birmingham, Birmingham, England.
Marion WalkerSchool of Medicine, University of Nottingham, Nottingham, England.
Rebecca FisherSchool of Medicine, University of Nottingham, Nottingham, England.
University of Nottingham · GBUniversity of Birmingham · GBUniversity of Glasgow · GBUniversity of Leicester · GB

Funding

Health Services and Delivery Research Programme 16/01/17
6 · The paper itself

Abstract

backgroundStroke Early Supported Discharge (ESD) involves provision of responsive and intensive rehabilitation to stroke survivors at home and it is recommended as part of the stroke care pathway. Core components have been identified to guide the delivery of evidence-based ESD, however, service provision in England is of variable quality. The study sought to understand how and in what conditions the adoption of these components drives the delivery of responsive and intensive ESD services in real world settings.

methodsThis qualitative study was part of a wider multimethod realist evaluation project (WISE) conducted to inform large-scale ESD implementation. Overarching programme theories and related context-mechanism-outcome configurations were used as a framework to guide data collection and analysis. Six case study sites were purposively selected; interviews and focus groups with ESD staff members were conducted and analysed iteratively.

resultsWe interviewed 117 ESD staff members including clinicians and service managers. Staff highlighted the role of certain core components including eligibility criteria, capacity, team composition and multidisciplinary team (MDT) coordination in achieving responsive and intensive ESD. Regardless of the geographical setting, adhering to evidence-based selection criteria, promoting an interdisciplinary skillset and supporting the role of rehabilitation assistants, allowed teams to manage capacity issues and maximise therapy time. Gaps in the stroke care pathway, however, meant that teams had to problem solve beyond their remit to cater for the complex needs of patients with severe disabilities. Adjusting MDT structures and processes was seen as key in addressing challenges posed by travel times and rural geography.

conclusionsDespite variations in the wider service model of operation and geographical location, the adoption of core components of ESD helped teams manage the pressures and deliver services that met evidence-based standards. Findings point to a well-recognised gap in service provision in England for stroke survivors who do not meet the ESD criteria and emphasise the need for a more integrated and comprehensive stroke service provision. Transferable lessons could be drawn to inform improvement interventions aimed at promoting evidence-based service delivery in different settings.

trial registrationISRCTN: 15,568,163, registration date: 26 October 2018.

Indexed as

Persons with DisabilitiesStrokeStroke RehabilitationEnglandHumansPatient DischargeCommunity-based stroke rehabilitationEarly supported dischargeEvidence-based practiceQualitative interviewsRealist evaluationRehabilitation intensityService responsivenessStroke

Identifiers

PMID36978068
PMCPMC10052830
OpenAlexW4361205057

What OpenQuestion holds

Textmetadata
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.