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Evaluating the impact of a sleep health education and a personalised smartphone application on sleep, productivity and healthcare utilisation among employees: results of a randomised clinical trial
by
Sullivan, Jason P
, Weaver, Matthew D
, Quan, Stuart F
, Glasner, Laura
, Robbins, Rebecca
, Cohen-Zion, Mairav
, Czeisler, Charles A
, Qadri, Salim
, Barger, Laura K
in
Absenteeism
/ Clinical trials
/ Consent
/ Cost control
/ Employees
/ Employers
/ Health education
/ Health Promotion
/ Health services utilization
/ Humans
/ Information technology
/ Insomnia
/ Intervention
/ Mobile Applications
/ Motor vehicles
/ OCCUPATIONAL & INDUSTRIAL MEDICINE
/ Occupational and Environmental Medicine
/ Patient Acceptance of Health Care
/ Productivity
/ Sleep
/ Sleep apnea
/ Sleep disorders
/ Sleep medicine
/ Smartphone
/ Smartphones
/ Social networks
2022
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Evaluating the impact of a sleep health education and a personalised smartphone application on sleep, productivity and healthcare utilisation among employees: results of a randomised clinical trial
by
Sullivan, Jason P
, Weaver, Matthew D
, Quan, Stuart F
, Glasner, Laura
, Robbins, Rebecca
, Cohen-Zion, Mairav
, Czeisler, Charles A
, Qadri, Salim
, Barger, Laura K
in
Absenteeism
/ Clinical trials
/ Consent
/ Cost control
/ Employees
/ Employers
/ Health education
/ Health Promotion
/ Health services utilization
/ Humans
/ Information technology
/ Insomnia
/ Intervention
/ Mobile Applications
/ Motor vehicles
/ OCCUPATIONAL & INDUSTRIAL MEDICINE
/ Occupational and Environmental Medicine
/ Patient Acceptance of Health Care
/ Productivity
/ Sleep
/ Sleep apnea
/ Sleep disorders
/ Sleep medicine
/ Smartphone
/ Smartphones
/ Social networks
2022
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Evaluating the impact of a sleep health education and a personalised smartphone application on sleep, productivity and healthcare utilisation among employees: results of a randomised clinical trial
by
Sullivan, Jason P
, Weaver, Matthew D
, Quan, Stuart F
, Glasner, Laura
, Robbins, Rebecca
, Cohen-Zion, Mairav
, Czeisler, Charles A
, Qadri, Salim
, Barger, Laura K
in
Absenteeism
/ Clinical trials
/ Consent
/ Cost control
/ Employees
/ Employers
/ Health education
/ Health Promotion
/ Health services utilization
/ Humans
/ Information technology
/ Insomnia
/ Intervention
/ Mobile Applications
/ Motor vehicles
/ OCCUPATIONAL & INDUSTRIAL MEDICINE
/ Occupational and Environmental Medicine
/ Patient Acceptance of Health Care
/ Productivity
/ Sleep
/ Sleep apnea
/ Sleep disorders
/ Sleep medicine
/ Smartphone
/ Smartphones
/ Social networks
2022
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Evaluating the impact of a sleep health education and a personalised smartphone application on sleep, productivity and healthcare utilisation among employees: results of a randomised clinical trial
Journal Article
Evaluating the impact of a sleep health education and a personalised smartphone application on sleep, productivity and healthcare utilisation among employees: results of a randomised clinical trial
2022
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Overview
ObjectivesWe evaluated an online Sleep Health and Wellness (SHAW) programme paired with dayzz, a personalised sleep training programme deployed via smartphone application (dayzz app) that promotes healthy sleep and treatment for sleep disorders, among employees at a large healthcare organisation.DesignOpen-label, randomised, parallel-group controlled trial.SettingA healthcare employer in the USA.Participants1355 daytime workers.InterventionParticipants were randomised to intervention (n=794) or control (n=561) on consent. Intervention participants received the SHAW educational programme at baseline plus access to the personalised dayzz app for up to 9 months. The control condition received the intervention at month 10.Primary and secondary outcome measuresOur primary outcome measures were sleep-related behavioural changes (eg, consistent sleep schedule); sleep behaviour tracked on an electronic sleep diary and sleep quality. Our secondary outcome measures included employee absenteeism, performance and productivity; stress, mood, alertness and energy; and adverse health and safety outcomes (eg, accidents).ResultsAt follow-up, employees in the intervention condition were more likely to report increased sleep duration on work (7.20 vs 6.99, p=0.01) and on free (8.26 vs 8.04, p=0.03) nights. At follow-up, the prevalence of poor sleep quality was lower in the intervention (n=160 of 321, 50%) compared with control (n=184 of 327, 56%) (p=0.04). The mean total dollars lost per person per month due to reduced workplace performance (presenteeism) was less in the intervention condition (US$1090 vs US$1321, p=0.001). Employees in the intervention reported fewer mental health visits (RR 0.72, 95% CI 0.56 to 0.94, p=0.01) and lower healthcare utilisation over the study interval (RR 0.81, 95% CI 0.67 to 0.98, p=0.03). We did not observe differences in stress (4.7 (95% CI 4.6 to 4.8) vs 4.7 (95% CI 4.6 to 4.8)), mood (4.5 (95% CI 4.4 to 4.6) vs 4.6 (95% CI 4.5 to 4.7)), alertness (4.9 (95% CI 4.8 to 5.0) vs 5.0 (95% CI 4.9 to 5.1)) or adverse health and safety outcomes (motor vehicle crashes: OR 0.82 (95% CI 0.34 to 1.9); near-miss crashes: OR=0.89 (95% CI 0.5 to 1.5) and injuries: 0.9 (95% CI 0.6 to 1.3)); energy was higher at follow-up in the intervention group (4.3 vs 4.5; p=0.03).ConclusionsResults from this trial demonstrate that a SHAW programme followed by access to the digital dayzz app can be beneficial to both the employee and employer.Trial registration numberNCT04224285
Publisher
British Medical Journal Publishing Group,BMJ Publishing Group LTD,BMJ Publishing Group
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