Health state utility values of type 2 diabetes mellitus and related complications: a systematic review and meta-regression.

Yubo Wang Yueru Xu Huiting Shan Huimin Pan Ji Chen Jianhua Yang

Published in: Health and quality of life outcomes (2024)

Accurate HSUVs are vital for the optimization of T2DM management strategies. This study provided a comprehensive data pool for HSUVs selection, and quantified the influence of various factors on HSUVs, informing analysts and policymakers in understanding the utility variations associated with T2DM and its complications.

Keyphrases

healthcare
public health
risk factors
mental health
electronic health record
big data
glycemic control
health information
type diabetes
artificial intelligence
insulin resistance
skeletal muscle
adipose tissue
mass spectrometry
climate change
data analysis
social media