Objectives
sleep disorders
This study aimed to evaluate the effect of a physician-assisted, internet-delivered CBT intervention with machine learning–based well-being prediction on sleep duration and well-being of shift workers at high risk of sleep disorders. The study followed a single-arm prospective design, with a baseline period of 1 week, followed by a 4-week intervention period. The participants were shift workers from the ICUs of 2 hospitals. Sleep duration and other relevant outcomes were assessed using a combination of an internet-delivered CBT app and a fitness tracker.