Generating EQ-5D-3L health utility scores from the Edinburgh Postnatal Depression Scale: a perinatal mapping study.

Elizabeth Camacho FonsecaGemma E ShieldsCarolyn A Chew-GrahamEmily EisnerSimon GilbodyElizabeth LittlewoodDean McMillanKylie WatsonPasco FearonDeborah J Sharp

Published in: The European journal of health economics : HEPAC : health economics in prevention and care (2023)

This direct mapping algorithm allows the estimation of health utility values from EPDS scores. The algorithm has good external validity but is likely to perform better in samples with higher health status.

Keyphrases

public health
healthcare
high resolution
machine learning
mental health
deep learning
health information
depressive symptoms
high density
pregnant women
preterm infants
health promotion
risk assessment
social media
climate change
human health
sleep quality
neural network