Abstract
Purpose
The EuroQoL (EQ-5D) is ideal to compare quality of life across conditions. However, the Parkinson’s Disease Questionnaire
(PDQ-39) is often the only quality-of-life instrument used in Parkinson’s disease research. We aimed to identify associations
between PDQ-39 domains and EQ-5D domains, and compare different methods of developing a function to map the PDQ-39 to EQ-5D
scores.
(PDQ-39) is often the only quality-of-life instrument used in Parkinson’s disease research. We aimed to identify associations
between PDQ-39 domains and EQ-5D domains, and compare different methods of developing a function to map the PDQ-39 to EQ-5D
scores.
Methods
Adults with Parkinson’s disease self-completed both instruments. Ordinal regression identified associations between PDQ-39
domain scores and each EQ-5D domain. Modeling (n = 80) and validation sets (n = 16) were randomly generated. Overall performance of four methods of mapping the PDQ-39 to EQ-5D scores (using PDQ-39 domains
and total score in ordinal and linear regression) was assessed with the validation set, followed by assessing the equivalence
of observed and predicted EQ-5D scores on the full dataset controlling for sociodemographic factors.
domain scores and each EQ-5D domain. Modeling (n = 80) and validation sets (n = 16) were randomly generated. Overall performance of four methods of mapping the PDQ-39 to EQ-5D scores (using PDQ-39 domains
and total score in ordinal and linear regression) was assessed with the validation set, followed by assessing the equivalence
of observed and predicted EQ-5D scores on the full dataset controlling for sociodemographic factors.
Results
Different sets of PDQ-39 domains were associated with each EQ-5D domain. For example, PDQ-39 “Activities of Daily Living”
and “Social Support” were associated with EQ-5D “Personal Care,” while PDQ-39 “Emotional Well-being” was associated with EQ-5D
“Anxiety/Depression.” Over one-third (37.5 %) of predictions from ordinal regressions had an error <0.01 % (compared to 6.3 %
for linear regressions). The EQ-5D scores predicted with ordinal regression using PDQ-39 domains were similar in distribution
and association with sociodemographic factors to the observed EQ-5D scores.
and “Social Support” were associated with EQ-5D “Personal Care,” while PDQ-39 “Emotional Well-being” was associated with EQ-5D
“Anxiety/Depression.” Over one-third (37.5 %) of predictions from ordinal regressions had an error <0.01 % (compared to 6.3 %
for linear regressions). The EQ-5D scores predicted with ordinal regression using PDQ-39 domains were similar in distribution
and association with sociodemographic factors to the observed EQ-5D scores.
- Content Type Journal Article
- Pages 1-8
- DOI 10.1007/s11136-012-0231-6
- Authors
- Megan K. Young, School of Medicine, Population and Social Health Research Group, GHI, Griffith University, Logan Campus, University Drive, Meadowbrook, QLD 4131, Australia
- Shu-Kay Ng, School of Medicine, Griffith Health Institute, Griffith University, Logan Campus, University Drive, Meadowbrook, QLD 4131, Australia
- George Mellick, Eskitis Institute for Cell and Molecular Therapies, Griffith University, Nathan Campus, 170 Kessels Road, Nathan, QLD 4122, Australia
- Paul A. Scuffham, School of Medicine, Griffith Health Institute, Griffith University, Logan Campus, University Drive, Meadowbrook, QLD 4131, Australia
- Journal Quality of Life Research
- Online ISSN 1573-2649
- Print ISSN 0962-9343