Literature DB >> 24768310

Hand dexterity and direct disease related cost in multiple sclerosis.

Marcus W Koch1, T Jock Murray2, John Fisk2, Jamie Greenfield3, Virender Bhan2, Philip Jacobs4, Murray Brown5, Luanne M Metz3.   

Abstract

METHODS: The nine hole peg test (9HPT) is an emerging outcome measure in clinical trials in multiple sclerosis (MS). In this study we investigated how performance on the 9HPT at baseline is related to annualized direct MS related cost.
METHODS: We enrolled patients with a definite diagnosis of MS from two Canadian MS centers. 9HPT and demographic information were recorded at baseline, and patients prospectively recorded all MS related costs for 6months. Costs were compared among five groups according to the baseline 9HPT, and we built a multiple linear regression model including cost (dependent variable) and 9HPT at baseline, age, disease duration, sex and disease course (independent predictor variables).
RESULTS: We analyzed data from 298 patients. Cost significantly increased with increasing 9HPT scores (p<0.0001), with the costs for health care providers, changes to the home or car and long-term care dominating in the most disabled patient groups. The 9HPT score was a significant predictor of cost in the regression model (p=0.006).
CONCLUSION: Performance on the 9HPT is closely related to cost. Our data add another aspect of patient relevance to using the 9HPT as an outcome measure in clinical trials.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Disease related cost; Hand dexterity; Health economics; Multiple sclerosis; Nine hole peg test; Outcome measures

Mesh:

Year:  2014        PMID: 24768310     DOI: 10.1016/j.jns.2014.03.047

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  7 in total

1.  Peg-manipulation capabilities during a test of manual dexterity differ for persons with multiple sclerosis and healthy individuals.

Authors:  Awad M Almuklass; Daniel F Feeney; Diba Mani; Landon D Hamilton; Roger M Enoka
Journal:  Exp Brain Res       Date:  2017-08-28       Impact factor: 1.972

2.  Pulse Width Does Not Influence the Gains Achieved With Neuromuscular Electrical Stimulation in People With Multiple Sclerosis: Double-Blind, Randomized Trial.

Authors:  Awad M Almuklass; Leah Davis; Landon D Hamilton; Jeffrey R Hebert; Enrique Alvarez; Roger M Enoka
Journal:  Neurorehabil Neural Repair       Date:  2018-01-24       Impact factor: 3.919

3.  Motor unit discharge characteristics and walking performance of individuals with multiple sclerosis.

Authors:  Awad M Almuklass; Leah Davis; Landon D Hamilton; Taian M Vieira; Alberto Botter; Roger M Enoka
Journal:  J Neurophysiol       Date:  2018-01-03       Impact factor: 2.714

4.  Ocrelizumab reduces progression of upper extremity impairment in patients with primary progressive multiple sclerosis: Findings from the phase III randomized ORATORIO trial.

Authors:  Edward J Fox; Clyde Markowitz; Angela Applebee; Xavier Montalban; Jerry S Wolinsky; Shibeshih Belachew; Damian Fiore; Jinglan Pei; Bruno Musch; Gavin Giovannoni
Journal:  Mult Scler       Date:  2018-11-12       Impact factor: 6.312

5.  A Descriptive Cross-Sectional Study of Manipulative Dexterity on Different Subtypes of Multiple Sclerosis.

Authors:  Elisabet Huertas-Hoyas; Nuria Máximo-Bocanegra; Carlos Diaz-Toro; Raquel Montes-Diez; Jorge Pérez-Corrales; Patricia Sánchez-Herrera-Baeza; Rosa Mª Martínez-Piédrola; Cristina García-Bravo; Carlos Sánchez-Camarero; Marta Pérez-de-Heredia-Torres
Journal:  Occup Ther Int       Date:  2020-04-28       Impact factor: 1.448

Review 6.  Dalfampridine in the treatment of multiple sclerosis: a meta-analysis of randomised controlled trials.

Authors:  Enyao Zhang; Xin Tian; Ruoming Li; Chaoyang Chen; Min Li; Lingyun Ma; Ran Wei; Ying Zhou; Yimin Cui
Journal:  Orphanet J Rare Dis       Date:  2021-02-15       Impact factor: 4.123

7.  Reduced cortical microvascular oxygenation in multiple sclerosis: a blinded, case-controlled study using a novel quantitative near-infrared spectroscopy method.

Authors:  Runze Yang; Jeff F Dunn
Journal:  Sci Rep       Date:  2015-11-13       Impact factor: 4.379

  7 in total

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