Mapping the EQ-5D-5L from the Spanish national health survey functional disability scale through Bayesian networks.
Qual Life Res
; 32(6): 1785-1794, 2023 Jun.
Article
en En
| MEDLINE
| ID: mdl-36735174
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.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Calidad de Vida
/
Algoritmos
Tipo de estudio:
Prognostic_studies
Aspecto:
Patient_preference
Límite:
Aged
/
Humans
Idioma:
En
Revista:
Qual Life Res
Asunto de la revista:
REABILITACAO
/
TERAPEUTICA
Año:
2023
Tipo del documento:
Article
País de afiliación:
España