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The sleep cycle, an integral part of human health, consists of several stages with distinct characteristics and functions. It begins with a transition from wakefulness to sleep, known as the light sleep phase, followed by the restorative deep sleep phase, essential for physical recovery and growth. The cycle concludes with the Rapid Eye Movement (REM) phase, characterized by high brain activity and vivid dreaming. Insomnia, a prevalent sleep disorder, involves difficulty falling asleep, staying...
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Digital cognitive behavioral therapy for insomnia (dCBT-I) significantly improves workplace productivity in employees with insomnia. This scalable digital intervention offers a cost-effective solution for enhancing workforce health and reducing lost workdays.

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Area of Science:

  • Occupational Health
  • Digital Therapeutics
  • Sleep Medicine

Background:

  • Insomnia is a prevalent issue in the workforce, leading to significant productivity impairments.
  • Cognitive Behavioral Therapy for Insomnia (CBT-I) is effective but faces scalability challenges.
  • Digital CBT-I (dCBT-I) presents a scalable alternative, but its impact on workplace productivity requires further investigation.

Purpose of the Study:

  • To assess the effectiveness of dCBT-I in producing significant and occupationally meaningful improvements in workplace productivity among employed adults with insomnia disorder.

Main Methods:

  • A secondary analysis of a randomized controlled trial (RCT) involving 444 employed adults with insomnia disorder.
  • Utilized the Work Productivity and Activity Impairment questionnaire (WPAI-SHP) to measure productivity outcomes.
  • Employed mixed-effects models and logistic regressions to evaluate changes in work impairment and the odds of achieving meaningful improvements.

Main Results:

  • Participants receiving dCBT-I showed significantly greater reductions in total work impairment compared to controls (16.5 percentage points difference, p < .001).
  • The dCBT-I group had higher odds of achieving a 15% reduction in total work impairment (OR = 2.7).

Conclusions:

  • dCBT-I significantly enhances workplace productivity, with estimated annual savings of $12,376 per employee.
  • dCBT-I offers a cost-effective strategy for improving workforce health and productivity.
  • Supports employer and health system investment in digital mental health solutions for employee well-being.