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    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2021
    In:  European Heart Journal - Quality of Care and Clinical Outcomes Vol. 7, No. 4 ( 2021-07-21), p. 388-396
    In: European Heart Journal - Quality of Care and Clinical Outcomes, Oxford University Press (OUP), Vol. 7, No. 4 ( 2021-07-21), p. 388-396
    Abstract: Evaluation of health status benefits, cost-effectiveness, and value of new heart failure therapies is critical for supporting their use. The Kansas City Cardiomyopathy Questionnaire (KCCQ) measures patients’ heart failure-specific health status but does not provide utilities needed for cost-effectiveness analyses. We mapped the KCCQ scores to EQ-5D scores so that estimates of societal-based utilities can be generated to support economic analyses. Methods Using data from two US cohort studies, we developed models for predicting EQ-5D utilities (3L and 5L versions) from the KCCQ (23- and 12-item versions). In addition to predicting scores directly, we considered predicting the five EQ-5D health state items and deriving utilities from the predicted responses, allowing different countries’ health state valuations to be used. Model validation was performed internally via bootstrap and externally using data from two clinical trials. Model performance was assessed using R2, mean prediction error, mean absolute prediction error, and calibration of observed vs. predicted values. Results The EQ-5D-3L models were developed from 1000 health status assessments in 547 patients with heart failure and reduced ejection fraction (HFrEF), while the EQ-5D-5L model was developed from 3925 patients with HFrEF. For both versions, models predicting individual EQ-5D items performed as well as those predicting utilities directly. The selected models for the 3L had internally validated R2 of 48.4–50.5% and 33.7–45.6% on external validation. The 5L version had validated R2 of 57.7%. Conclusion Mappings from the KCCQ to the EQ-5D can yield the estimates of societal-based utilities to support cost-effectiveness analyses when EQ-5D data are not available.
    Type of Medium: Online Resource
    ISSN: 2058-5225 , 2058-1742
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2823451-0
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