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Assessment of Health-Related Quality of Life between People with Parkinson’s Disease and Non-Parkinson’s: Using Data Drawn from the ‘100 for Parkinson’s’ Smartphone-Based Prospective Study

Background: This study aims to assess the specific difference of the health-related quality of life between people with Parkinson’s and non-Parkinson’s. Methods: A total of 1710 people were drawn from a prospective study with a smartphone-based survey named ‘100 for Parkinson’s’ to assess health-rel...

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Autores principales: Fan, Xiaojing, Wang, Duolao, Hellman, Bruce, Janssen, Mathieu F., Bakker, Gerben, Coghlan, Rupert, Hursey, Amelia, Matthews, Helen, Whetstone, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266719/
https://www.ncbi.nlm.nih.gov/pubmed/30428518
http://dx.doi.org/10.3390/ijerph15112538
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author Fan, Xiaojing
Wang, Duolao
Hellman, Bruce
Janssen, Mathieu F.
Bakker, Gerben
Coghlan, Rupert
Hursey, Amelia
Matthews, Helen
Whetstone, Ian
author_facet Fan, Xiaojing
Wang, Duolao
Hellman, Bruce
Janssen, Mathieu F.
Bakker, Gerben
Coghlan, Rupert
Hursey, Amelia
Matthews, Helen
Whetstone, Ian
author_sort Fan, Xiaojing
collection PubMed
description Background: This study aims to assess the specific difference of the health-related quality of life between people with Parkinson’s and non-Parkinson’s. Methods: A total of 1710 people were drawn from a prospective study with a smartphone-based survey named ‘100 for Parkinson’s’ to assess health-related quality of life. The EQ-5D-5L descriptive system and the EQ visual analogue scale were used to measure health-related quality of life and a linear mixed model was used to analyze the difference. Results: The mean difference of EQ-5D-5L index values between people with Parkinson’s and non-Parkinson’s was 0.15 (95%CI: 0.12, 0.18) at baseline; it changed to 0.17 (95%CI: 0.14, 0.20) at the end of study. The mean difference of EQ visual analogue scale scores between them increased from 10.18 (95%CI: 7.40, 12.96) to 12.19 (95%CI: 9.41, 14.97) from baseline to the end of study. Conclusion: Data can be captured from the participants’ own smart devices and support the notion that health-related quality of life for people with Parkinson’s is lower than non-Parkinson’s. This analysis provides useful evidence for the EQ-5D instrument and is helpful for public health specialists and epidemiologists to assess the health needs of people with Parkinson’s and indirectly improve their health status.
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spelling pubmed-62667192018-12-15 Assessment of Health-Related Quality of Life between People with Parkinson’s Disease and Non-Parkinson’s: Using Data Drawn from the ‘100 for Parkinson’s’ Smartphone-Based Prospective Study Fan, Xiaojing Wang, Duolao Hellman, Bruce Janssen, Mathieu F. Bakker, Gerben Coghlan, Rupert Hursey, Amelia Matthews, Helen Whetstone, Ian Int J Environ Res Public Health Article Background: This study aims to assess the specific difference of the health-related quality of life between people with Parkinson’s and non-Parkinson’s. Methods: A total of 1710 people were drawn from a prospective study with a smartphone-based survey named ‘100 for Parkinson’s’ to assess health-related quality of life. The EQ-5D-5L descriptive system and the EQ visual analogue scale were used to measure health-related quality of life and a linear mixed model was used to analyze the difference. Results: The mean difference of EQ-5D-5L index values between people with Parkinson’s and non-Parkinson’s was 0.15 (95%CI: 0.12, 0.18) at baseline; it changed to 0.17 (95%CI: 0.14, 0.20) at the end of study. The mean difference of EQ visual analogue scale scores between them increased from 10.18 (95%CI: 7.40, 12.96) to 12.19 (95%CI: 9.41, 14.97) from baseline to the end of study. Conclusion: Data can be captured from the participants’ own smart devices and support the notion that health-related quality of life for people with Parkinson’s is lower than non-Parkinson’s. This analysis provides useful evidence for the EQ-5D instrument and is helpful for public health specialists and epidemiologists to assess the health needs of people with Parkinson’s and indirectly improve their health status. MDPI 2018-11-13 2018-11 /pmc/articles/PMC6266719/ /pubmed/30428518 http://dx.doi.org/10.3390/ijerph15112538 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fan, Xiaojing
Wang, Duolao
Hellman, Bruce
Janssen, Mathieu F.
Bakker, Gerben
Coghlan, Rupert
Hursey, Amelia
Matthews, Helen
Whetstone, Ian
Assessment of Health-Related Quality of Life between People with Parkinson’s Disease and Non-Parkinson’s: Using Data Drawn from the ‘100 for Parkinson’s’ Smartphone-Based Prospective Study
title Assessment of Health-Related Quality of Life between People with Parkinson’s Disease and Non-Parkinson’s: Using Data Drawn from the ‘100 for Parkinson’s’ Smartphone-Based Prospective Study
title_full Assessment of Health-Related Quality of Life between People with Parkinson’s Disease and Non-Parkinson’s: Using Data Drawn from the ‘100 for Parkinson’s’ Smartphone-Based Prospective Study
title_fullStr Assessment of Health-Related Quality of Life between People with Parkinson’s Disease and Non-Parkinson’s: Using Data Drawn from the ‘100 for Parkinson’s’ Smartphone-Based Prospective Study
title_full_unstemmed Assessment of Health-Related Quality of Life between People with Parkinson’s Disease and Non-Parkinson’s: Using Data Drawn from the ‘100 for Parkinson’s’ Smartphone-Based Prospective Study
title_short Assessment of Health-Related Quality of Life between People with Parkinson’s Disease and Non-Parkinson’s: Using Data Drawn from the ‘100 for Parkinson’s’ Smartphone-Based Prospective Study
title_sort assessment of health-related quality of life between people with parkinson’s disease and non-parkinson’s: using data drawn from the ‘100 for parkinson’s’ smartphone-based prospective study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266719/
https://www.ncbi.nlm.nih.gov/pubmed/30428518
http://dx.doi.org/10.3390/ijerph15112538
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