Your browser doesn't support javascript.
loading
Mapping the EQ-5D-5L from the Spanish national health survey functional disability scale through Bayesian networks.
Ayala, Alba; Ramallo-Fariña, Yolanda; Bilbao-Gonzalez, Amaia; Forjaz, Maria João.
Afiliación
  • Ayala A; Department of Statistics, School of Law and Social Sciences, University Carlos III of Madrid, 126-28903, Getafe, Madrid, Spain. aayala@est-econ.uc3m.es.
  • Ramallo-Fariña Y; Health Service Research Network on Chronic Diseases (REDISSEC), Madrid, Spain. aayala@est-econ.uc3m.es.
  • Bilbao-Gonzalez A; Research Network on Chronic Diseases, Primary Care, and Health Promotion (RICAPPS), Madrid, Spain. aayala@est-econ.uc3m.es.
  • Forjaz MJ; Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FIISC), Santa Cruz de Tenerife, Tenerife, Spain.
Qual Life Res ; 32(6): 1785-1794, 2023 Jun.
Article en En | MEDLINE | ID: mdl-36735174
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.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

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 Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

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 Pais de publicación: Países Bajos