Treating Depression and Anxiety with Digital Cognitive Behavioural Therapy for Insomnia: A Real World NHS Evaluation Using Standardized Outcome Measures
Luik AI., Bostock S., Chisnall L., Kyle SD., Lidbetter N., Baldwin N., Espie CA.
© British Association for Behavioural and Cognitive Psychotherapies 2016. Background: Evidence suggests that insomnia may be an important therapeutic target to improve mental health. Aims: Evaluating changes in symptoms of depression and anxiety after supported digital cognitive behavioural therapy (dCBT) for insomnia delivered via a community-based provider (Self Help Manchester) of the Improving Access to Psychological Therapies (IAPT) service. Method: Supported dCBT for insomnia was delivered to 98 clients (mean age 44.9 years, SD 15.2, 66% female) of Self Help Manchester. All clients received six support calls from an eTherapy coordinator to support the self-help dCBT. During these calls levels of depression (Patient Health Questionnaire, PHQ-9) and anxiety (Generalized Anxiety Disorder, GAD-7) were determined. Results: Depression (M difference-5.7, t(70) = 12.5, p <.001) and anxiety [Generalized Anxiety Disorder-7 (GAD-7), M difference-4.1, t(70) = 8.0, p <.001] were reduced following supported dCBT for insomnia. This translated into an IAPT recovery rate of 68% for depression and anxiety. Conclusions: These results suggest that dCBT for insomnia alleviates depression and anxiety in clients presenting with mental health complaints in routine healthcare.