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: Using data drawn from the ‘100 for parkinson’s’ smartphone-based prospective study

Xiaojing Fan, Duolao Wang, Bruce Hellman, Mathieu F. Janssen, Gerben Bakker, Rupert Coghlan, Amelia Hursey, Helen Matthews, Ian Whetstone

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

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.
Original languageEnglish
Article number2538
JournalInternational Journal of Environmental Research and Public Health
Volume15
Issue number11
DOIs
Publication statusPublished - 13 Nov 2018

Keywords

  • EQ visual analogue scale
  • EQ-5D-5L
  • Parkinson’s disease
  • Prospective study
  • Smartphone

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