Open AccessA clinical trial to evaluate the dayzz smartphone app on employee sleep, health, and productivity at a large US employer
Author(s) -
Rebecca Robbins,
Matthew D. Weaver,
Stuart F. Quan,
Jason P. Sullivan,
Mairav Cohen-Zion,
Laura Glasner,
Salim Qadri,
Charles A. Czeisler,
Laura K. Barger
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0260828
Subject(s) - absenteeism , sleep hygiene , medicine , mood , sleep (system call) , randomized controlled trial , sleep disorder , sleep deprivation , physical therapy , insomnia , psychology , psychiatry , computer science , sleep quality , social psychology , cognition , surgery , operating system
Sleep deficiency is a hidden cost of our 24–7 society, with 70% of adults in the US admitting that they routinely obtain insufficient sleep. Further, it is estimated that 50–70 million adults in the US have a sleep disorder. Undiagnosed and untreated sleep disorders are associated with diminished health for the individual and increased costs for the employer. Research has shown that adverse impacts on employees and employers can be mitigated through sleep health education and sleep disorder screening and treatment programs. Smartphone applications (app) are increasingly commonplace and represent promising, scalable modalities for such programs. The dayzz app is a personalized sleep training program that incorporates assessment of sleep disorders and offers a personalized comprehensive sleep improvement solution. Using a sample of day workers affiliated with a large institution of higher education, we will conduct a single-site, parallel-group, randomized, waitlist control trial. Participants will be randomly assigned to either use the dayzz app throughout the study or receive the dayzz app at the end of the study. We will collect data on feasibility and acceptability of the dayzz app; employee sleep, including sleep behavioral changes, sleep duration, regularity, and quality; employee presenteeism, absenteeism, and performance; employee mood; adverse and safety outcomes; and healthcare utilization on a monthly basis throughout the study, as well as collect more granular daily data from the employee during pre-specified intervals. Our results will illuminate whether a personalized smartphone app is a viable approach for improving employee sleep, health, and productivity. Trial registration : ClinicalTrials.gov Identifier: NCT04224285 .