Sleep health education and a personalized smartphone application improve sleep and productivity and reduce healthcare utilization among employees: Results of a randomized clinical trial
Robbins, R.; Weaver, M. D.; Quan, S.; Sullivan, J. P.; Qadri, S.; Czeisler, C. A.; Barger, L. K.
Show abstract
Sleep deficiency and undiagnosed or untreated sleep disorders are pervasive among employed adults, yet often ignored in the context of workplace health promotion programs among employers. Smartphone applications (app) are a promising, scalable approach to improving sleep among employees. In this randomized clinical trial, we evaluate the dayzz app, a personalized sleep training program that promotes healthy sleep and sleep disorders awareness through personalized, comprehensive sleep improvement solutions. In a sample of daytime employees affiliated with a large healthcare organization, we evaluated the dayzz app in a parallel-group, randomized, waitlist control trial. Participants were randomly assigned to either use the dayzz app throughout the study or the waitlist control condition where they would receive the dayzz app at the end of the study period. We collected data on employee sleep (e.g., sleep duration, sleep health behavioral changes); workplace outcomes (e.g., employee presenteeism, absenteeism, and performance); and healthcare utilization (e.g., mental health, ambulatory visits, and emergency room visits), throughout the study. Results show that those assigned to the experimental condition exhibited an increase in healthy sleep behaviors; an increase in sleep duration; a trend toward a more regular sleep schedule; and a significant increase in overall sleep quality. Regarding workplace outcomes, results showed that those in the experimental condition also demonstrated a trend toward less absenteeism and significantly lower presenteeism; and those in the experimental condition reported lower healthcare utilization. Results from this randomized clinical trial demonstrate that a workplace sleep wellness program can be beneficial to both the employee and employer.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Sleep in Frontline Healthcare Workers on Social Media During the COVID-19 Pandemic 98%
- Circadian Rhythm Analysis Using Wearable Device Data: A Novel Penalized Machine Learning Approach 92%
- Social networking service, patient-generated health data, and population health informatics: patterns and implications for using digital technologies to support mental health 91%
Similar papers in this journal
- Disseminating sleep education to graduate psychology programs online: A knowledge translation study to improve the management of insomnia 97%
- Changes of evening exposure to electronic devices during the COVID-19 lockdown affect the time course of sleep disturbances 95%
- Performance of an Electroencephalography-Measuring Headband or Actigraphy Compared with Polysomnography in Older Adults with Sleep Disturbances 95%
Similar papers in this journal
- A clinical trial to evaluate the dayzz smartphone app on employee sleep, health, and productivity at a large US employer 98%
- Home-EEG assessment of possible compensatory mechanisms for sleep disruption in highly irregular shift workers - The ANCHOR study 95%
- Are adversities and worries during the COVID-19 pandemic related to sleep quality? Longitudinal analyses of 48,000 UK adults 93%
Similar papers in this journal
- Satisfaction with Life in relation to Sleep Health among a Nationally Representative Sample of U.S. Adults 96%
- Shorter self-reported sleep duration in men is associated with worse virtual spatial navigation performance 93%
- The relationship between subjective sleep quality and cognitive performance in healthy young adults: Evidence from three empirical studies 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.