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  • Mapping of the PDQ-39 to EQ-5D scores in patients with Parkinson’s disease

    Author(s)
    Young, Megan K
    Ng, Shu-Kay
    Mellick, George
    Scuffham, Paul A
    Griffith University Author(s)
    Mellick, George
    Young, Megan K.
    Scuffham, Paul A.
    Ng, Shu Kay Angus
    Year published
    2013
    Metadata
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    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 qualityof- 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. ...
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    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 qualityof- 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. 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. Conclusions Of the four methods tested, using PDQ-39 domains in ordinal regression was superior for mapping EQ-5D scores. The function reported here may prove particularly useful for cost-utility analyses comparing Parkinson's disease with other conditions.
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    Journal Title
    Quality of Life Research
    Volume
    22
    Issue
    5
    DOI
    https://doi.org/10.1007/s11136-012-0231-6
    Subject
    Neurology and Neuromuscular Diseases
    Public Health and Health Services
    Psychology
    Publication URI
    http://hdl.handle.net/10072/49853
    Collection
    • Journal articles

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