Literature DB >> 9839306

A questionnaire to assess neurological impairment in multiple sclerosis.

D S Goodin1.   

Abstract

This study assessed the feasibility of using a self-report questionnaire to measure neurological impairment in multiple sclerosis (MS). Thirty patients aged 21-67 years participated. Each patient was examined and scored on three commonly used impairment scales; the extended disability status scale (EDSS), the neurologic rating scale (NRS) and the ambulation index (A1). Two other scales were also determined; the sum of the EDSS functional scores (SFS), and a five point scale rating functional status (FS). The physician also filled out a copy of the questionnaire based on interview and examination of the patient. All of these scores were determined and the physical questionnaire filled out blind to the patient's answers on their self-report questionnaire. The first 15 consecutive patients served as the pilot group to develop a computer program to convert answers on the questionnaire into predicted scores on each of the five scales. The second 15 patients served as the independent test group to assess the validity of the computer program. Using this program, both patient and physician questionnaires accurately predicted (r > 0.87) the scores on each of the five scales measured manually. In addition, the scores on all five scales were highly cross-correlated (r > 0.85) suggesting that, in fact, each measured a similar attribute of MS (i.e., impairment). Therefore, the five scales were combined into a single measure, the mean disability score (MDS), which showed the highest correlations (r > 0.95) of any scale between the predicted scores and the actual scores determined by examination. The results of this study indicate that the self-report questionnaire is a valid measure of neurological impairment in MS and, thus, that it can be used to survey this health outcome in an MS population. Moreover, this questionnaire can be filled out by a physician (based directly on the neurological examination) and, together with the computer program for scoring each patient, can be used to provide consistent scoring in clinical trials.

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Year:  1998        PMID: 9839306     DOI: 10.1177/135245859800400508

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  16 in total

1.  Impact of natalizumab on patient-reported outcomes in a clinical practice setting: a cross-sectional survey.

Authors:  Siddhesh A Kamat; Krithika Rajagopalan; Judith J Stephenson; Sonalee Agarwal
Journal:  Patient       Date:  2009-06-01       Impact factor: 3.883

2.  Attributional style and depression in multiple sclerosis: the learned helplessness model.

Authors:  Gray A Vargas; Peter A Arnett
Journal:  Int J MS Care       Date:  2013

3.  Burden of a multiple sclerosis relapse: the patient's perspective.

Authors:  Merrikay Oleen-Burkey; Jane Castelli-Haley; Maureen J Lage; Kenneth P Johnson
Journal:  Patient       Date:  2012       Impact factor: 3.883

4.  Postural response latencies are related to balance control during standing and walking in patients with multiple sclerosis.

Authors:  Jessie M Huisinga; Rebecca J St George; Rebecca Spain; Shannon Overs; Fay B Horak
Journal:  Arch Phys Med Rehabil       Date:  2014-01-18       Impact factor: 3.966

5.  Telemedicine for Monitoring MS Activity and Progression.

Authors:  Nuria Sola-Valls; Yolanda Blanco; Maria Sepúlveda; Eugenia Martinez-Hernandez; Albert Saiz
Journal:  Curr Treat Options Neurol       Date:  2015-11       Impact factor: 3.598

6.  Feasibility study for remote assessment of cognitive function in multiple sclerosis.

Authors:  Michaela F George; Calliope B Holingue; Farren B S Briggs; Xiaorong Shao; Kalliope H Bellesis; Rachel A Whitmer; Catherine Schaefer; Ralph Hb Benedict; Lisa F Barcellos
Journal:  J Neurol Neuromedicine       Date:  2016

7.  Physical inactivity, neurological disability, and cardiorespiratory fitness in multiple sclerosis.

Authors:  R W Motl; M Goldman
Journal:  Acta Neurol Scand       Date:  2011-02       Impact factor: 3.209

8.  Electronic Health Record Technology Designed for the Clinical Encounter: MS NeuroShare.

Authors:  Riley Bove; Christa A Bruce; Chelsea K Lunders; Jennifer R Pearce; Jacqueline Liu; Erica Schleimer; Stephen L Hauser; Walter F Stewart; J B Jones
Journal:  Neurol Clin Pract       Date:  2021-08

9.  Impact of natalizumab on patient-reported outcomes in multiple sclerosis: a longitudinal study.

Authors:  Judith J Stephenson; David M Kern; Sonalee S Agarwal; Ruth Zeidman; Krithika Rajagopalan; Siddhesh A Kamat; John Foley
Journal:  Health Qual Life Outcomes       Date:  2012-12-27       Impact factor: 3.186

10.  An electronic, unsupervised patient-reported Expanded Disability Status Scale for multiple sclerosis.

Authors:  Andrew R Romeo; William M Rowles; Erica S Schleimer; Patrick Barba; Wan-Yu Hsu; Refujia Gomez; Adam Santaniello; Chao Zhao; Jennifer R Pearce; J B Jones; Bruce C Cree; Stephen L Hauser; Jeffrey M Gelfand; Walter F Stewart; Douglas S Goodin; Riley M Bove
Journal:  Mult Scler       Date:  2020-11-25       Impact factor: 5.855

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