Does linear equating improve prediction in mapping? Crosswalking MacNew onto EQ-5D-5L value sets.

Published in: The European journal of health economics : HEPAC : health economics in prevention and care (2020)

The preferred mapping function enables to predict utilities for MacNew data from the EQ-5D-5L value sets recently developed in England and the US with better accuracy. This allows studies, which have included the MacNew to be used in cost-utility analyses and thus, the comparison of services with interventions across the health system.

Keyphrases

high resolution
high density
healthcare
primary care
physical activity
electronic health record
mental health
big data
mass spectrometry
machine learning
clinical evaluation