Literature DB >> 28793970

Historical perspective: The pros and cons of conventional outcome measures in Parkinson's disease.

Shen-Yang Lim1, Ai Huey Tan2.   

Abstract

BACKGROUND: Conventional outcome measures (COMs) in Parkinson's disease (PD) refer to rating scales, questionnaires, patient diaries and clinically-based tests that do not require specialized equipment.
METHODS: It is timely at this juncture - as clinicians and researchers begin to grapple with the "invasion" of digital technologies - to review the strengths and weaknesses of these outcome measures.
RESULTS: This paper discusses advances (including an enhanced understanding of PD itself, and the development of clinimetrics as a field) that have led to improvements in the COMs used in PD; their strengths and limitations; and factors to consider when selecting and using a measuring instrument.
CONCLUSIONS: It is envisaged that in the future, a combination of COMs and technology-based objective measures will be utilized, with different methods having their own strengths and weaknesses. Judgement is required on the part of the clinician and researcher in terms of which instrument(s) are appropriate to use, depending on the particular clinical or research setting or question.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Clinical trials; Conventional outcome measures; MDS task force; Questionnaires; Rating scales; Sensors

Mesh:

Year:  2017        PMID: 28793970     DOI: 10.1016/j.parkreldis.2017.07.029

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  2 in total

1.  The safety and feasibility of a Halliwick style of aquatic physiotherapy for falls and balance dysfunction in people with Parkinson's Disease: A single blind pilot trial.

Authors:  Aan Fleur Terrens; Sze-Ee Soh; Prue Morgan
Journal:  PLoS One       Date:  2020-07-30       Impact factor: 3.240

2.  A Multimodal Approach to the Quantification of Kinetic Tremor in Parkinson's Disease.

Authors:  Mateusz Szumilas; Krzysztof Lewenstein; Elżbieta Ślubowska; Stanisław Szlufik; Dariusz Koziorowski
Journal:  Sensors (Basel)       Date:  2019-12-28       Impact factor: 3.576

  2 in total

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