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

Autor: Bruce Hellman, Ian Whetstone, Xiaojing Fan, Duolao Wang, Amelia Hursey, Gerben Bakker, Mathieu F Janssen, Helen Matthews, Rupert Coghlan
Přispěvatelé: Psychiatry
Rok vydání: 2018
Předmět:
Zdroj: International Journal Public Health, 15(11):2538. Multidisciplinary Digital Publishing Institute (MDPI)
International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 15, Iss 11, p 2538 (2018)
Volume 15
Issue 11
ISSN: 1660-4601
1661-7827
DOI: 10.3390/ijerph15112538
Popis: Background: This study aims to assess the specific difference of the health-related quality of life between people with Parkinson&rsquo
s and non-Parkinson&rsquo
s. Methods: A total of 1710 people were drawn from a prospective study with a smartphone-based survey named &lsquo
100 for Parkinson&rsquo
s&rsquo
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&rsquo
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&rsquo
own smart devices and support the notion that health-related quality of life for people with Parkinson&rsquo
s is lower than non-Parkinson&rsquo
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&rsquo
s and indirectly improve their health status.
Databáze: OpenAIRE