Literature DB >> 31819803

Patient-reported outcomes in multiple sclerosis: Validation of the Quality of Life in Neurological Disorders (Neuro-QoL™) short forms.

Luis D Medina1, Stephanie Torres1, Enrique Alvarez2, Brooke Valdez2, Kavita V Nair2,3.   

Abstract

BACKGROUND: Patient-reported outcome (PRO) measures have been shown to be effective for tracking treatment outcomes in multiple sclerosis (MS). However, collecting PROs as part of the clinical standard of care can be time-consuming and examination of their validity for use in an MS sample has been limited.
OBJECTIVE: To determine the discriminant validity of the Quality of Life in Neurological Disorders (Neuro-QoL™) short forms in a real-world MS clinic population. DESIGN/
METHODS: Neuro-QoL is a series of questionnaires for tracking physical function, emotional/cognitive health, and social abilities in clinical populations. Neuro-QoL data from 902 MS patients were analyzed for psychometric properties and factor structure.
RESULTS: Neuro-QoL demonstrated acceptable reliability in the moderate-to-good ranges. Moderate support for convergent validity was observed with other measures of MS quality of life, disease severity, and symptoms. However, results from a confirmatory factor analysis suggested poor model fit for most of the 12 domains tested.
CONCLUSIONS: These findings support the utility of some of the Neuro-QoL questionnaires in evaluating MS-related PROs. However, additional research may help abridge and strengthen these measures for use in this population.
© The Author(s) 2019.

Entities:  

Keywords:  Multiple sclerosis; patient-reported outcomes; principal component analysis; reliability; validity

Year:  2019        PMID: 31819803      PMCID: PMC6882038          DOI: 10.1177/2055217319885986

Source DB:  PubMed          Journal:  Mult Scler J Exp Transl Clin        ISSN: 2055-2173


  17 in total

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2.  A knowledge translation challenge: clinical use of quality of life data from cancer clinical trials.

Authors:  Michael Brundage; Brenda Bass; Ringash Jolie; Kimberley Foley
Journal:  Qual Life Res       Date:  2011-01-29       Impact factor: 4.147

3.  Do measures of depressive symptoms function differently in people with spinal cord injury versus primary care patients: the CES-D, PHQ-9, and PROMIS®-D.

Authors:  Karon F Cook; Michael A Kallen; Charles Bombardier; Alyssa M Bamer; Seung W Choi; Jiseon Kim; Rana Salem; Dagmar Amtmann
Journal:  Qual Life Res       Date:  2016-07-14       Impact factor: 4.147

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Authors:  Alan J Thompson; Sergio E Baranzini; Jeroen Geurts; Bernhard Hemmer; Olga Ciccarelli
Journal:  Lancet       Date:  2018-03-23       Impact factor: 79.321

5.  The future of outcomes measurement: item banking, tailored short-forms, and computerized adaptive assessment.

Authors:  David Cella; Richard Gershon; Jin-Shei Lai; Seung Choi
Journal:  Qual Life Res       Date:  2007-03-31       Impact factor: 4.147

6.  Having a fit: impact of number of items and distribution of data on traditional criteria for assessing IRT's unidimensionality assumption.

Authors:  Karon F Cook; Michael A Kallen; Dagmar Amtmann
Journal:  Qual Life Res       Date:  2009-03-18       Impact factor: 4.147

7.  Validity of the Neurology Quality-of-Life (Neuro-QoL) measurement system in adult epilepsy.

Authors:  David Victorson; Jose E Cavazos; Gregory L Holmes; Anthony T Reder; Valerie Wojna; Cindy Nowinski; Deborah Miller; Sarah Buono; Allison Mueller; Claudia Moy; David Cella
Journal:  Epilepsy Behav       Date:  2013-12-20       Impact factor: 2.937

8.  Validating Neuro-QoL short forms and targeted scales with people who have multiple sclerosis.

Authors:  Deborah M Miller; Francois Bethoux; David Victorson; Cindy J Nowinski; Sarah Buono; Jin-Shei Lai; Katy Wortman; James L Burns; Claudia Moy; David Cella
Journal:  Mult Scler       Date:  2015-08-03       Impact factor: 6.312

9.  A qualitative study of patients' perceptions of the utility of patient-reported outcome measures of symptoms in primary care clinics.

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Journal:  Qual Life Res       Date:  2018-08-14       Impact factor: 4.147

10.  Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis.

Authors:  W I McDonald; A Compston; G Edan; D Goodkin; H P Hartung; F D Lublin; H F McFarland; D W Paty; C H Polman; S C Reingold; M Sandberg-Wollheim; W Sibley; A Thompson; S van den Noort; B Y Weinshenker; J S Wolinsky
Journal:  Ann Neurol       Date:  2001-07       Impact factor: 10.422

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  1 in total

1.  Data Collection in Multiple Sclerosis: The MSDS Approach.

Authors:  Tjalf Ziemssen; Raimar Kern; Isabel Voigt; Rocco Haase
Journal:  Front Neurol       Date:  2020-06-16       Impact factor: 4.003

  1 in total

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