Data Quality of Longitudinally Collected Patient-Reported Outcomes After Thoracic Surgery: Comparison of Paper- and Web-Based Assessments.

Hongfan Yu Qingsong Yu Yuxian Nie Jing Fu Qiu Yang Pu Wei Dai Xing Wei Qiuling Shi

Published in: Journal of medical Internet research (2021)

It is possible to improve data quality of longitudinally collected PRO through ePRO, compared with P&P. However, ePRO-related sampling bias needs to be considered when designing clinical research using longitudinal PROs as major outcomes.

Keyphrases

patient reported
thoracic surgery
electronic health record
big data
machine learning
data analysis
metabolic syndrome
artificial intelligence
anti inflammatory
skeletal muscle