Conclusions
This study presents mapping algorithms that can predict CHU9D scores from PedsQL scores with good accuracy. Additionally, these new algorithms out performed previous algorithms that were also externally validated in this paper. The ability to predict CHU9D scores when only PedsQL scores and demographics are available is useful for economic evaluation and meta-analysis. The new CYPHP mappings are particularly relevant for samples with children and young people with chronic conditions living in deprived and urban settings, however, further validation in an external sample is required.
