Journal article 60 views
Optimizing measurement for neurobehavioural rehabilitation services: A multisite comparison study and response to UKROC / Nick Alderman; Aimee E Pink; Claire Williams; Sara da Silva Ramos; Michael Oddy; Caroline Knight; Keith G Jenkins; Michael P Barnes; Chloë Hayward
Neuropsychological Rehabilitation, Pages: 1 - 30
Swansea University Author: Williams, Claire
Accepted Manuscript under embargo until: 7th March 2020
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|
Check full text
No Tags, Be the first to tag this record!
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.
Neurobehavioural Rehabilitation, Acquired Brain Injury, Outcome Measurement, Assessment Tools, Rehabilitation Complexity, Responsiveness
College of Human and Health Sciences