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首页> 外文期刊>Quality of life research: An international journal of quality of life aspects of treatment, care and rehabilitation >Mapping of the PDQ-39 to EQ-5D scores in patients with Parkinson's disease
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Mapping of the PDQ-39 to EQ-5D scores in patients with Parkinson's disease

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

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摘要

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. 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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