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      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

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          Abstract

          Objective

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

          Design

          Economic evaluation within a randomised controlled trial.

          Setting

          Four 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.

          Participants

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

          Interventions

          Participants 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.

          Results

          At 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.

          Conclusions

          The 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.

          Related collections

          Most cited references24

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          Interim scoring for the EQ-5D-5L: mapping the EQ-5D-5L to EQ-5D-3L value sets.

          A five-level version of the EuroQol five-dimensional (EQ-5D) descriptive system (EQ-5D-5L) has been developed, but value sets based on preferences directly elicited from representative general population samples are not yet available. The objective of this study was to develop values sets for the EQ-5D-5L by means of a mapping ("crosswalk") approach to the currently available three-level version of the EQ-5D (EQ-5D-3L) values sets. The EQ-5D-3L and EQ-5D-5L descriptive systems were coadministered to respondents with conditions of varying severity to ensure a broad range of levels of health across EQ-5D questionnaire dimensions. We explored four models to generate value sets for the EQ-5D-5L: linear regression, nonparametric statistics, ordered logistic regression, and item-response theory. Criteria for the preferred model included theoretical background, statistical fit, predictive power, and parsimony. A total of 3691 respondents were included. All models had similar fit statistics. Predictive power was slightly better for the nonparametric and ordered logistic regression models. In considering all criteria, the nonparametric model was selected as most suitable for generating values for the EQ-5D-5L. The nonparametric model was preferred for its simplicity while performing similarly to the other models. Being independent of the value set that is used, it can be applied to transform any EQ-5D-3L value set into EQ-5D-5L index values. Strengths of this approach include compatibility with three-level value sets. A limitation of any crosswalk is that the range of index values is restricted to the range of the EQ-5D-3L value sets. Copyright © 2012 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
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            Multiattribute and single-attribute utility functions for the health utilities index mark 3 system.

            The Health Utilities Index Mark 3 (HUI3) is a generic multiattribute preference-based measure of health status and health-related quality of life that is widely used as an outcome measure in clinical studies, in population health surveys, in the estimation of quality-adjusted life years, and in economic evaluations. HUI3 consists of eight attributes (or dimensions) of health status: vision, hearing, speech, ambulation, dexterity, emotion, cognition, and pain with 5 or 6 levels per attribute, varying from highly impaired to normal. The objectives are to present a multiattribute utility function and eight single-attribute utility functions for the HUI3 system based on community preferences. Two preference surveys were conducted. One, the modeling survey, collected preference scores for the estimation of the utility functions. The other, the direct survey, provided independent scores to assess the predictive validity of the utility functions. Preference measures included value scores obtained on the Feeling Thermometer and standard gamble utility scores obtained using the Chance Board. A random sample of the general population (> or =16 years of age) in Hamilton, Ontario, Canada. Estimates were obtained for eight single-attribute utility functions and an overall multiattribute utility function. The intraclass correlation coefficient between directly measured utility scores and scores generated by the multiattribute function for 73 health states was 0.88. The HUI3 scoring function has strong theoretical and empirical foundations. It performs well in predicting directly measured scores. The HUI3 system provides a practical way to obtain utility scores based on community preferences.
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              • Article: not found

              Motor recovery after stroke: a systematic review.

              Loss of functional movement is a common consequence of stroke for which a wide range of interventions has been developed. In this Review, we aimed to provide an overview of the available evidence on interventions for motor recovery after stroke through the evaluation of systematic reviews, supplemented by recent randomised controlled trials. Most trials were small and had some design limitations. Improvements in recovery of arm function were seen for constraint-induced movement therapy, electromyographic biofeedback, mental practice with motor imagery, and robotics. Improvements in transfer ability or balance were seen with repetitive task training, biofeedback, and training with a moving platform. Physical fitness training, high-intensity therapy (usually physiotherapy), and repetitive task training improved walking speed. Although the existing evidence is limited by poor trial designs, some treatments do show promise for improving motor recovery, particularly those that have focused on high-intensity and repetitive task-specific practice.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2021
                25 May 2021
                : 11
                : 5
                : e042081
                Affiliations
                [1 ]departmentPopulation Health Sciences Institute , Newcastle University Faculty of Medical Sciences , Newcastle upon Tyne, UK
                [2 ]departmentStroke Research Group, Population Health Sciences Institute , Newcastle University Faculty of Medical Sciences , Newcastle upon Tyne, UK
                [3 ]departmentStroke Northumbria , Northumbria Healthcare NHS Foundation Trust , North Shields, UK
                [4 ]departmentStroke Medicine , Barking Havering and Redbridge Hospitals NHS Trust , Romford, UK
                [5 ]departmentNorthwick Park , London North West University Healthcare NHS Trust , Harrow, UK
                [6 ]departmentInstitute of Cardiovascular and Medical Sciences , University of Glasgow , Glasgow, UK
                [7 ]departmentNursing, Midwifery and Health , Northumbria University , Newcastle upon Tyne, UK
                [8 ]departmentOxford Academic Health Science Network , Oxford University Hospitals NHS Foundation Trust , Oxford, UK
                [9 ]department(Lay Investigator) Contact Stroke Research Group, Population Health Sciences Institute , Newcastle University Faculty of Medical Sciences , Newcastle upon Tyne, UK
                [10 ]departmentQueen Elizabeth University Hospital , NHS Greater Glasgow and Clyde , Glasgow, UK
                [11 ]departmentDepartment of Mechanical Engineering , Massachusetts Institute of Technology , Cambridge, Massachusetts, USA
                [12 ]departmentSchool of Health Sport and Bioscience , University of East London , London, UK
                [13 ]departmentSchool of Health and Life Sciences , Glasgow Caledonian University , Glasgow, UK
                [14 ]departmentSchool of Pharmacy , University of Sunderland , Sunderland, UK
                Author notes
                [Correspondence to ] Dr Laura Ternent; laura.ternent@ 123456newcastle.ac.uk
                Author information
                http://orcid.org/0000-0002-7113-225X
                http://orcid.org/0000-0001-5908-1720
                Article
                bmjopen-2020-042081
                10.1136/bmjopen-2020-042081
                8154983
                34035087
                8f58e8dc-0767-46b5-907a-b332f793605e
                © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See:  https://creativecommons.org/licenses/by/4.0/.

                History
                : 25 June 2020
                : 28 April 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000664, Health Technology Assessment Programme;
                Award ID: reference: 11/26/05
                Categories
                Health Economics
                1506
                1701
                Original research
                Custom metadata
                unlocked

                Medicine
                stroke medicine,rehabilitation medicine,stroke,health economics
                Medicine
                stroke medicine, rehabilitation medicine, stroke, health economics

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