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Sleep and Productivity Benefits of Digital Cognitive Behavioral Therapy for Insomnia: A Randomized Controlled Trial
Sophie Bostock1, Annemarie I Luik, Colin A Espie
1Big Health Ltd, London (Drs Bostock, Luik, Espie); Faculty of Medicine, University of Southampton (Dr Bostock); and Sleep & Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, UK (Drs Luik, Espie).
Objective:
Evaluating digital cognitive behavioral therapy (dCBT) for insomnia in a workplace environment.
Methods:
Within a randomized controlled trial in a Fortune 500 company, we randomized 270 self-identified poor sleepers [180 M/90 F: mean age 33.6 years (23 to 56 years)] to dCBT (n = 135) or waiting list (WL, n = 135). dCBT comprised six online sessions delivered by an animated therapist. Major assessments were at baseline and posttreatment.
Results:
Sleep Condition Indicator (SCI) scores were significantly higher for the dCBT group [interaction term: F (1,485) = 15.63, P < 0.0001], representing Cohen's d of 1.10 following dCBT (d = 0.34 for WL). On the Work Productivity and Impairment questionnaire, "presenteeism" demonstrated significant improvements following dCBT [F(1,485) = 10.99, P = 0.001: d = 0.64 for dCBT, d = 0.09 for WL]. Effects for "abseenteeism" failed to reach statistical significance (P = 0.101).
Conclusions:
dCBT is effective in improving sleep and work-based productivity in adults with insomnia.
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