Cognitive Behavioral Therapy for Insomnias-View Presentation Slides

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The document outlines a cognitive-behavioral approach to understanding and managing insomnia, presented by Kelly M. Shaffer, PhD. It delves into the prevalence of insomnia, citing that 30-35% of individuals experience symptoms, while 6-12% receive a formal diagnosis. The document adopts the DSM-5 criteria for insomnia, which include dissatisfaction with sleep quality or quantity and associated daytime impairments, occurring at least three times a week for over three months, despite adequate opportunities for sleep. <br /><br />The four-factor model of insomnia—premorbid, predisposed, precipitating, and perpetuating factors—is explored as a framework for understanding the condition. Key components of Cognitive Behavioral Therapy for Insomnia (CBT-I) include education on insomnia, behavioral strategies like sleep restriction and stimulus control, and cognitive restructuring to tackle maladaptive beliefs. CBT-I is shown to be effective with a 33% higher remission rate compared to controls.<br /><br />Although CBT-I is recommended as a first-line treatment, access is limited with only 220 certified specialists across the US. Digital therapeutic approaches, like eHealth interventions, are highlighted as scalable solutions, being able to provide structured, interactive, and personalized treatments independently of local healthcare constraints.<br /><br />Finally, the document stresses the significance of treating insomnia, noting its role as an independent risk factor for suicidal behaviors, potentially increasing suicidal ideation or attempts by 2-3 times. The conclusion emphasizes the potential of digital CBT-I for wider accessibility and scalability, assisting in reducing health disparities associated with insomnia. The lecture concludes with an invitation to the next session on Restless Legs Syndrome and Sleep-Related Movement Disorders.

Keywords

cognitive-behavioral

insomnia

Kelly M. Shaffer

DSM-5 criteria

CBT-I

sleep restriction

digital therapeutics

suicidal risk

health disparities

eHealth interventions