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Gepubliceerd in: Quality of Life Research 6/2023

03-02-2023

Mapping the EQ-5D-5L from the Spanish national health survey functional disability scale through Bayesian networks

Auteurs: Alba Ayala, Yolanda Ramallo-Fariña, Amaia Bilbao-Gonzalez, Maria João Forjaz

Gepubliceerd in: Quality of Life Research | Uitgave 6/2023

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Abstract

Purpose

Preference-based measures are valuable tools for evaluating therapeutic interventions and for cost-effectiveness studies. Mapping procedures are useful when it is not possible to collect these kind of measures. The objective of this study was to evaluate which mapping method is the most appropriate to estimate the EQ-5D-5L index from the Spanish National Health Survey functional disability scale.

Methods

The sample, formed by 5708 older adults (aged 65 years or older), was drawn from the Spanish National Health Survey (“Encuesta Nacional de Salud en España,” ENSE in Spanish 2011–2012). The predictions of EQ-5D-5L index were performed with response mapping using Bayesian network (BN), ordered logit (Ologit), and multinomial logistic (ML). The following direct methods were used: ordinary least squares (OLS) and Tobit regression. The intraclass correlation coefficient (ICC), absolute error (MAE), mean squared error (MSE), and root-mean squared error (RMSE) were calculated to compare all models. The predictions of response models were obtained through the expected value method.

Results

BN model showed the highest ICC (0.756, 95% confidence interval, CI 0.733–0.777) and lowest MAE (0.110, 95% CI 0.104–0.115). OLS was the model with worse accuracy results with lowest ICC (0.621, 95% CI 0.553–0.681) and highest MAE (0.159, 95%CI: 0.145–0.173).

Conclusion

Indirect mapping methods (BN, Ologit, and ML) had a better accuracy than the direct methods. The response mapping approach provides a robust method to estimate EQ-5D-5L scores from the functional disability scale.
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Metagegevens
Titel
Mapping the EQ-5D-5L from the Spanish national health survey functional disability scale through Bayesian networks
Auteurs
Alba Ayala
Yolanda Ramallo-Fariña
Amaia Bilbao-Gonzalez
Maria João Forjaz
Publicatiedatum
03-02-2023
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 6/2023
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-023-03351-y

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