Bar-On, Lynn

Aertbeliën, Erwin

Molenaers, Guy

Dan, Bernard

Desloovere, Kaat

Lynn Bar-On

Erwin Aertbeliën

Guy Molenaers

Bernard Dan

Kaat Desloovere

MUCC (Crossref)

Manually controlled instrumented spasticity assessments: a systematic review of psychometric properties

AIM: The first aim of this study was to systematically review and critically assess manually controlled instrumented spasticity assessment methods that combine multidimensional signals. The second aim was to extract a set of quantified parameters that are psychometrically sound to assess spasticity in a clinical setting. METHOD: Electronic databases were searched to identify studies that assessed spasticity by simultaneously collecting electrophysiological and biomechanical signals during manually controlled passive muscle stretches. Two independent reviewers critically assessed the methodological quality of the psychometric properties of the included studies using the COSMIN guidelines. RESULTS: Fifteen studies with instrumented spasticity assessments met all inclusion criteria. Parameters that integrated electrophysiological signals with joint movement characteristics were best able to quantify spasticity. There were conflicting results regarding biomechanical-based parameters that quantify the resistance to passive stretch. Few methods have been assessed for all psychometric properties. In particular, further information on absolute reliability and responsiveness for more muscles is needed. INTERPRETATION: Further research is required to determine the correct parameters for quantifying spasticity based on integration of signals, which especially focuses on distinguishing the neural from non-neural contributions to increased joint torque. These parameters should undergo more rigorous exploration to establish their psychometric properties for use in a clinical environment.status: publishe

Lirias

Developmental Medicine & Child Neurology

The first aim of this study was to systematically review and critically assess manually controlled instrumented spasticity assessment methods that combine multidimensional signals. The second aim was to extract a set of quantified parameters that are psychometrically sound to assess spasticity in a clinical setting.FLWINSCOPUS: re.jinfo:eu-repo/semantics/publishe

DI-fusion

Manually controlled instrumented spasticity assessments: a systematic review of psychometric properties.

In this article, Professor Stuart Walker examines several challenges that
will be faced by the global pharmaceutical industry in the near future. These
involve the question of improving the overall quality of life and care for
millions in an era of cost containment. In order to respond to the increasing
demands for advances in medicine while simultaneously retaining an
industrially strong, innovative, and resilient economy, responsibility for the
necessary changes will need to be shared among governments, the
pharmaceutical industry, and health care professionals.
In particular, four challenges faced by the global pharmaceutical industry
and their responses to each are discussed The first of these is the need for the
industry to secure sufficient revenue from marketed products, so that they may
both remain profitable and be able to invest in research and development to
facilitate the creation of new medicines. The second challenge arises out of
that research and development and involves the production of innovative
medicines for the treatment or prevention of diseases for which there is no
adequate treatment. Once these new medicines are developed, the third
challenge faced by the industry is to bring the new medicines to market in a
more rapid and efficient manner. Achieving this third goal is closely
intertwined with the final challenge: restructuring the regulation of medicines
to ensure the rapid review of new drug applications to get these new medicines
to market. Although much remains to be done in achieving these goals,
Professor Walker notes that the global pharmaceutical industry is taking
decisive steps to approach these challenges and his article operates as a
framework for continued progression

Walker, Stuart R

Indiana University Bloomington Maurer School of Law

English

Global Responses: The Search for Cures in the Development of Pharmaceuticals

bepress Legal Repository

Aim: The first aim of this study was to systematically review and critically assess manually controlled instrumented spasticity assessment methods that combine multidimensional signals. The second aim was to extract a set of quantified parameters that are psychometrically sound to assess spasticity in a clinical setting. Method: Electronic databases were searched to identify studies that assessed spasticity by simultaneously collecting electrophysiological and biomechanical signals during manually controlled passive muscle stretches. Two independent reviewers critically assessed the methodological quality of the psychometric properties of the included studies using the COSMIN guidelines. Results: Fifteen studies with instrumented spasticity assessments met all inclusion criteria. Parameters that integrated electrophysiological signals with joint movement characteristics were best able to quantify spasticity. There were conflicting results regarding biomechanical-based parameters that quantify the resistance to passive stretch. Few methods have been assessed for all psychometric properties. In particular, further information on absolute reliability and responsiveness for more muscles is needed. Interpretation: Further research is required to determine the correct parameters for quantifying spasticity based on integration of signals, which especially focuses on distinguishing the neural from non-neural contributions to increased joint torque. These parameters should undergo more rigorous exploration to establish their psychometric properties for use in a clinical environment

NARCIS 

Manually controlled instrumented spasticity assessments: A systematic review of psychometric properties

Manually controlled instrumented spasticity assessments: a systematic review of psychometric properties

Abstract

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MUCC (Crossref)

Lirias

MUCC (Crossref)

DI-fusion

Indiana University Bloomington Maurer School of Law

MUCC (Crossref)

MUCC (Crossref)

bepress Legal Repository

NARCIS