Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/32657
Title: Mobile app for personalized sleep-wake management for shift workers: A user testing trial.
Austin Authors: Murray, Jade M;Magee, Michelle;Giliberto, Emma S;Booker, Lauren A ;Tucker, Andrew J;Galaska, Beth;Sibenaller, Sara M;Baer, Sharon A;Postnova, Svetlana;Sondag, Thijs A C;Phillips, Andrew J K;Sletten, Tracey L;Howard, Mark E ;Rajaratnam, Shantha M W
Affiliation: Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia.;Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, Australia.
Philips RS North America LLC f/k/a Respironics Inc, Murrysville, USA.
Institute for Breathing and Sleep
Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, Australia.;School of Physics, University of Sydney, Sydney, Australia.
Curve Tomorrow, Royal Children's Hospital, Parkville, Australia.
Issue Date: 29-Mar-2023
Date: 2023-03
Publication information: Digital Health 2023
Abstract: Development of personalized sleep-wake management tools is critical to improving sleep and functional outcomes for shift workers. The objective of the current study was to test the performance, engagement and usability of a mobile app (SleepSync) for personalized sleep-wake management in shift workers that aid behavioural change and provide practical advice by providing personalized sleep scheduling recommendations and education. Shift workers (n = 27; 20 healthcare and 7 from other industries) trialled the mobile app for two weeks to determine performance, engagement and usability. Primary outcomes were self-reported total sleep time, ability to fall asleep, sleep quality and perception of overall recovery on days off. Secondary performance outcomes included sleep disturbances (insomnia and sleep hygiene symptoms, and sleep-related impairments) and mood (anxiety, stress and depression) pre- and post-app use. Satisfaction with schedule management, integration into daily routine and influence on behaviour were used to determine engagement, while the usability was assessed for functionality and ease of use of features. Total sleep time (P = .04), ability to fall asleep (P < .001), quality of sleep (P = .001), insomnia (P = .02), sleep hygiene (P = .01), sleep-related impairments (P = .001), anxiety (P = .001), and stress (P = .006) were all improved, with non-significant improvements in recovery on days off (P = .19) and depression (P = .07). All measures of engagement and usability were scored positively by the majority of users. This pilot trial provides preliminary evidence of the positive impact of the SleepSync app in improving sleep and mood outcomes in shift workers, and warrants confirmation in a larger controlled trial.
URI: https://ahro.austin.org.au/austinjspui/handle/1/32657
DOI: 10.1177/20552076231165972
ORCID: 0000-0001-9377-5750
Journal: Digital health
Start page: 20552076231165972
PubMed URL: 37009306
Type: Journal Article
Subjects: SleepSync
mHealth app
nurses
shift work
shift work disorder
sleep–wake management
Appears in Collections:Journal articles

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