Journal article 1261 views 340 downloads
Optimizing measurement for neurobehavioural rehabilitation services: A multisite comparison study and response to UKROC
Nick Alderman,
Aimee Pink,
Claire Williams ,
Sara da Silva Ramos,
Michael Oddy,
Caroline Knight,
Keith G Jenkins,
Michael P Barnes,
Chloë Hayward
Neuropsychological Rehabilitation, Volume: 30, Issue: 7, Pages: 1318 - 1347
Swansea University Authors: Aimee Pink, Claire Williams
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DOI (Published version): 10.1080/09602011.2019.1582432
Abstract
To evaluate the efficacy of neurobehavioural rehabilitation (NbR) programmes, services should employ valid, reliable assessment tools; the ability to detect change on repeated assessment is a particular requirement. The United Kingdom Rehabilitation Outcomes Collaborative (UKROC) requires neurorehab...
Published in: | Neuropsychological Rehabilitation |
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ISSN: | 0960-2011 1464-0694 |
Published: |
Neuropsychological Rehabilitation
Informa UK Limited
2020
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URI: | https://cronfa.swan.ac.uk/Record/cronfa48913 |
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2021-06-14T11:19:00.7116590 v2 48913 2019-02-20 Optimizing measurement for neurobehavioural rehabilitation services: A multisite comparison study and response to UKROC b104bd4518ffc637bf9091ef85ff3a9b Aimee Pink Aimee Pink true false 21dc2ebf100cf324becc27e8db6fde8d 0000-0002-0791-744X Claire Williams Claire Williams true false 2019-02-20 To evaluate the efficacy of neurobehavioural rehabilitation (NbR) programmes, services should employ valid, reliable assessment tools; the ability to detect change on repeated assessment is a particular requirement. The United Kingdom Rehabilitation Outcomes Collaborative (UKROC) requires neurorehabilitation services to collect data using a standardised basket of measures, but the responsiveness and usefulness of using these in the context of NbR remains unknown. Anonymous data collected at two assessments for 123 people was studied using multiple methods to determine responsiveness of four outcome measures routinely used in NbR (HoNOS-ABI, FIM+FAM UK, MPAI-4, SASNOS). Predictive validity of two measures of rehabilitation complexity (RCS-E, SRS) regarding the extent of difference scores on these outcome measures at reassessment was also determined. All four outcome measures demonstrated responsiveness, with higher levels for SASNOS and MPAI-4 when only participants categorised as “most likely to change” at first assessment were analysed. Predictive validity of the RCS-E and SRS in estimating the extent of change was variable. SRS was only predictive of improvement on the MPAI-4 whilst RCS-E was not predictive at all. Recommendations are made regarding ideal characteristics of NbR outcome measures, along with the need to develop measures of rehabilitation complexity specifically conceptualised for these programmes. Journal Article Neuropsychological Rehabilitation 30 7 1318 1347 Informa UK Limited Neuropsychological Rehabilitation 0960-2011 1464-0694 Neurobehavioural Rehabilitation, Acquired Brain Injury, Outcome Measurement, Assessment Tools, Rehabilitation Complexity, Responsiveness 8 8 2020 2020-08-08 10.1080/09602011.2019.1582432 COLLEGE NANME COLLEGE CODE Swansea University 2021-06-14T11:19:00.7116590 2019-02-20T04:39:21.5806963 Faculty of Medicine, Health and Life Sciences School of Psychology Nick Alderman 1 Aimee Pink 2 Claire Williams 0000-0002-0791-744X 3 Sara da Silva Ramos 4 Michael Oddy 5 Caroline Knight 6 Keith G Jenkins 7 Michael P Barnes 8 Chloë Hayward 9 0048913-11032019094759.pdf 48913.pdf 2019-03-11T09:47:59.4570000 Output 354092 application/pdf Accepted Manuscript true 2020-03-07T00:00:00.0000000 true eng |
title |
Optimizing measurement for neurobehavioural rehabilitation services: A multisite comparison study and response to UKROC |
spellingShingle |
Optimizing measurement for neurobehavioural rehabilitation services: A multisite comparison study and response to UKROC Aimee Pink Claire Williams |
title_short |
Optimizing measurement for neurobehavioural rehabilitation services: A multisite comparison study and response to UKROC |
title_full |
Optimizing measurement for neurobehavioural rehabilitation services: A multisite comparison study and response to UKROC |
title_fullStr |
Optimizing measurement for neurobehavioural rehabilitation services: A multisite comparison study and response to UKROC |
title_full_unstemmed |
Optimizing measurement for neurobehavioural rehabilitation services: A multisite comparison study and response to UKROC |
title_sort |
Optimizing measurement for neurobehavioural rehabilitation services: A multisite comparison study and response to UKROC |
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b104bd4518ffc637bf9091ef85ff3a9b 21dc2ebf100cf324becc27e8db6fde8d |
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b104bd4518ffc637bf9091ef85ff3a9b_***_Aimee Pink 21dc2ebf100cf324becc27e8db6fde8d_***_Claire Williams |
author |
Aimee Pink Claire Williams |
author2 |
Nick Alderman Aimee Pink Claire Williams Sara da Silva Ramos Michael Oddy Caroline Knight Keith G Jenkins Michael P Barnes Chloë Hayward |
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Neuropsychological Rehabilitation |
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Swansea University |
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0960-2011 1464-0694 |
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10.1080/09602011.2019.1582432 |
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Informa UK Limited |
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Faculty of Medicine, Health and Life Sciences |
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To evaluate the efficacy of neurobehavioural rehabilitation (NbR) programmes, services should employ valid, reliable assessment tools; the ability to detect change on repeated assessment is a particular requirement. The United Kingdom Rehabilitation Outcomes Collaborative (UKROC) requires neurorehabilitation services to collect data using a standardised basket of measures, but the responsiveness and usefulness of using these in the context of NbR remains unknown. Anonymous data collected at two assessments for 123 people was studied using multiple methods to determine responsiveness of four outcome measures routinely used in NbR (HoNOS-ABI, FIM+FAM UK, MPAI-4, SASNOS). Predictive validity of two measures of rehabilitation complexity (RCS-E, SRS) regarding the extent of difference scores on these outcome measures at reassessment was also determined. All four outcome measures demonstrated responsiveness, with higher levels for SASNOS and MPAI-4 when only participants categorised as “most likely to change” at first assessment were analysed. Predictive validity of the RCS-E and SRS in estimating the extent of change was variable. SRS was only predictive of improvement on the MPAI-4 whilst RCS-E was not predictive at all. Recommendations are made regarding ideal characteristics of NbR outcome measures, along with the need to develop measures of rehabilitation complexity specifically conceptualised for these programmes. |
published_date |
2020-08-08T19:40:10Z |
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11.04748 |