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Springer Verlag, Quality of Life Research, 5(22), p. 1065-1072

DOI: 10.1007/s11136-012-0231-6

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

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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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. 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.