Evidence map›Paper›PMID 34035087›Full record

Trial reportBMJ open2021

Economic evaluation of robot-assisted training versus an enhanced upper limb therapy programme or usual care for patients with moderate or severe upper limb functional limitation due to stroke: results from the RATULS randomised controlled trial.

Cristina Fernandez-Garcia, Laura Ternent, Tara Marie Homer, Helen Rodgers, Helen Bosomworth, Lisa Shaw, Lydia Aird, Sreeman Andole, David Cohen, Jesse Dawson and 12 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Observational
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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

22 authors.

Cristina Fernandez-GarciaPopulation Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK.ORCID 0000-0002-7113-225X
Laura TernentPopulation Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK laura.ternent@newcastle.ac.uk.
Tara Marie HomerPopulation Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK.
Helen RodgersStroke Research Group, Population Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK.
Helen BosomworthStroke Research Group, Population Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK.
Lisa ShawStroke Research Group, Population Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK.
Lydia AirdStroke Northumbria, Northumbria Healthcare NHS Foundation Trust, North Shields, UK.
Sreeman AndoleStroke Medicine, Barking Havering and Redbridge Hospitals NHS Trust, Romford, UK.
David CohenNorthwick Park, London North West University Healthcare NHS Trust, Harrow, UK.
Jesse DawsonInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Tracy FinchNursing, Midwifery and Health, Northumbria University, Newcastle upon Tyne, UK.
Gary FordStroke Research Group, Population Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK.
Richard FrancisPopulation Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK.
Steven Hogg(Lay Investigator) Contact Stroke Research Group, Population Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK.
Niall HughesQueen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow, UK.
H I KrebsDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Christopher PriceStroke Research Group, Population Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK.
Duncan TurnerSchool of Health Sport and Bioscience, University of East London, London, UK.
Frederike Van WijckSchool of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.
Scott WilkesSchool of Pharmacy, University of Sunderland, Sunderland, UK.
Nina WilsonPopulation Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK.ORCID 0000-0001-5908-1720
Luke ValePopulation Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine whether robot-assisted training is cost-effective compared with an enhanced upper limb therapy (EULT) programme or usual care.

designEconomic evaluation within a randomised controlled trial.

settingFour National Health Service (NHS) centres in the UK: Queen's Hospital, Barking, Havering and Redbridge University Hospitals NHS Trust; Northwick Park Hospital, London Northwest Healthcare NHS Trust; Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde; and North Tyneside General Hospital, Northumbria Healthcare NHS Foundation Trust.

participants770 participants aged 18 years or older with moderate or severe upper limb functional limitation from first-ever stroke.

interventionsParticipants randomised to one of three programmes provided over a 12-week period: robot-assisted training plus usual care; the EULT programme plus usual care or usual care. MAIN ECONOMIC OUTCOME MEASURES: Mean healthcare resource use; costs to the NHS and personal social services in 2018 pounds; utility scores based on EQ-5D-5L responses and quality-adjusted life years (QALYs). Cost-effectiveness reported as incremental cost per QALY and cost-effectiveness acceptability curves.

resultsAt 6 months, on average usual care was the least costly option (£3785) followed by EULT (£4451) with robot-assisted training being the most costly (£5387). The mean difference in total costs between the usual care and robot-assisted training groups (£1601) was statistically significant (p<0.001). Mean QALYs were highest for the EULT group (0.23) but no evidence of a difference (p=0.995) was observed between the robot-assisted training (0.21) and usual care groups (0.21). The incremental cost per QALY at 6 months for participants randomised to EULT compared with usual care was £74 100. Cost-effectiveness acceptability curves showed that robot-assisted training was unlikely to be cost-effective and that EULT had a 19% chance of being cost-effective at the £20 000 willingness to pay (WTP) threshold. Usual care was most likely to be cost-effective at all the WTP values considered in the analysis.

conclusionsThe cost-effectiveness analysis suggested that neither robot-assisted training nor EULT, as delivered in this trial, were likely to be cost-effective at any of the cost per QALY thresholds considered. TRIAL REGISTRATION NUMBER: ISRCTN69371850.

Indexed as

RoboticsStrokeCost-Benefit AnalysisHumansLondonQuality-Adjusted Life YearsQuality of LifeState MedicineUpper Extremityhealth economicsrehabilitation medicinestrokestroke medicine

Identifiers

PMID34035087
PMCPMC8154983

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.