Mapping the World Health Organization Disability Assessment Schedule (WHODAS 2.0) onto SF-6D Using Swedish General Population Data.

Anna Philipson Lars Hagberg Liselotte M Hermansson Jan Karlsson Emma Ohlsson-Nevo Linda Ryen

Published in: PharmacoEconomics - open (2023)

It is possible to apply the derived mapping algorithms for health economic evaluations in studies using WHODAS 2.0. As conceptual overlap is incomplete, we recommend using the domain-based algorithms over the overall score. Different algorithms must be applied depending on whether the population is working or non-working, due to the characteristics of WHODAS 2.0.

Keyphrases

machine learning
deep learning
high resolution
big data
public health
healthcare
high density
artificial intelligence
mental health
multiple sclerosis
electronic health record
health information
risk assessment
social media
case control