Literature DB >> 10775547

Kurtzke scales revisited: the application of psychometric methods to clinical intuition.

J Hobart1, J Freeman, A Thompson.   

Abstract

When developing his disability scales for multiple sclerosis, Kurtzke demonstrated perception and insight. However, 45 years later, the evaluation of his clinically derived scales remains limited, particularly for more disabled patients. Indeed, many of Kurtzke's assumptions underpinning the development of the Expanded Disability Status Scale (EDSS) and Functional Systems (FS) are untested. This study aims to build on previous work and provide a more detailed examination using psychometric methods of the EDSS and FS. There are three study objectives: (i) to examine comprehensively the psychometric properties of the EDSS in more disabled people with multiple sclerosis undergoing in-patient rehabilitation; (ii) to examine the reliability of the FS and test Kurtzke's assumptions that they measure different aspects of the neurological examination and measure different constructs from that measured by the EDSS; and (iii) to examine whether the FS can be summed to generate a summary score. The EDSS was examined for its acceptability (score distributions), reliability (inter- and intra-rater reproducibility, standard error of measurement), validity (convergent and discriminant validity, measurement precision, discrimination between individuals) and responsiveness (effect size). The FS were examined for their reliability (inter- and intra-rater reproducibility), intercorrelations, correlations with the EDSS and the extent to which they satisfy Likert's criteria as a summed rating scale. In this more disabled sample of people with multiple sclerosis, the EDSS is an acceptable measure but demonstrates limited variability. Inter-rater reproducibility (intraclass correlation coefficient; ICC = 0.78) is adequate for group comparison studies, but intra-rater reproducibility is variable (ICC = 0.62-0.94). Convergent and discriminant validity for the EDSS is supported, but its measurement precision relative to the Functional Independence Measure is limited (56%). Also, the EDSS has a limited ability to distinguish between individuals in terms of their disability and its responsiveness is poor (effect size = 0.10). Results indicate that the FS measure constructs distinct from each other (intercorrelations = -0.23 to +0. 52) and from the EDSS (correlations = -0.10 to +0.59). Intra-rater, but not inter-rater reproducibility is adequate for group comparison studies. The FS do not satisfy criteria as an eight-, seven- or six-item summed rating scale. Despite being based on sound clinical intuition, the lack of psychometric input into the development of the EDSS and FS has limited their usefulness as evaluative outcome measures in multiple sclerosis.

Entities:  

Mesh:

Year:  2000        PMID: 10775547     DOI: 10.1093/brain/123.5.1027

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  68 in total

Review 1.  Neurological rehabilitation: from mechanisms to management.

Authors:  A J Thompson
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-12       Impact factor: 10.154

2.  Walking function in clinical monitoring of multiple sclerosis by telemedicine.

Authors:  Núria Sola-Valls; Yolanda Blanco; Maria Sepúlveda; Sara Llufriu; Elena H Martínez-Lapiscina; Delon La Puma; Francesc Graus; Pablo Villoslada; Albert Saiz
Journal:  J Neurol       Date:  2015-05-10       Impact factor: 4.849

3.  Progression of non-age-related callosal brain atrophy in multiple sclerosis: a 9-year longitudinal MRI study representing four decades of disease development.

Authors:  Juha Martola; Leszek Stawiarz; Sten Fredrikson; Jan Hillert; Jakob Bergström; Olof Flodmark; Maria Kristoffersen Wiberg
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-11-21       Impact factor: 10.154

4.  Exploring the relationship between white matter and gray matter damage in early primary progressive multiple sclerosis: an in vivo study with TBSS and VBM.

Authors:  Benedetta Bodini; Zhaleh Khaleeli; Mara Cercignani; David H Miller; Alan J Thompson; Olga Ciccarelli
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

5.  Psychometric properties of the Italian version of the Scales for Outcomes in Parkinson's disease- Cognition (SCOPA-Cog).

Authors:  V Isella; C Mapelli; N Morielli; D De Gaspari; C Siri; G Pezzoli; A Antonini; M Poletti; U Bonuccelli; L Picchi; A Napolitano; M Vista; M Veglia; F Piamarta; F Grassi; I M Appollonio
Journal:  Funct Neurol       Date:  2013 Apr-May

6.  Application of Item Response Theory to Modeling of Expanded Disability Status Scale in Multiple Sclerosis.

Authors:  A M Novakovic; E H J Krekels; A Munafo; S Ueckert; M O Karlsson
Journal:  AAPS J       Date:  2016-09-15       Impact factor: 4.009

Review 7.  Secondary Progressive Multiple Sclerosis: Definition and Measurement.

Authors:  Domenico Plantone; Floriana De Angelis; Anisha Doshi; Jeremy Chataway
Journal:  CNS Drugs       Date:  2016-06       Impact factor: 5.749

8.  Determining the Presence of Reliable Change over Time in Multiple Sclerosis: Evidence from the PASAT, Adjusting-PSAT, and Stroop Test.

Authors:  Suzanne L Barker-Collo; Suzanne C Purdy
Journal:  Int J MS Care       Date:  2013

9.  One year changes in disability in multiple sclerosis: neurological examination compared with patient self report.

Authors:  E L J Hoogervorst; M J Eikelenboom; B M J Uitdehaag; C H Polman
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-04       Impact factor: 10.154

10.  A longitudinal observational study of brain atrophy rate reflecting four decades of multiple sclerosis: a comparison of serial 1D, 2D, and volumetric measurements from MRI images.

Authors:  Juha Martola; Jakob Bergström; Sten Fredrikson; Leszek Stawiarz; Jan Hillert; Yi Zhang; Olof Flodmark; Anders Lilja; Anders Ekbom; Peter Aspelin; Maria Kristoffersen Wiberg
Journal:  Neuroradiology       Date:  2009-09-23       Impact factor: 2.804

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