Learning Objective #1: Discuss the research findings related to computer-assisted cognitive behavioral treatment outcomes

Learning Objective #2: Describe the successes and challenges faced by nurses in implementing computer-assisted therapy

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The National Co-morbidity Survey estimates a 48% lifetime prevelence of mental disorder with anxiety and depression constituting the most common problem and burden of disease. While cognitive behavioural therapy (CBT) is by far the most effective treatment for anxiety and depression, a severe shortfall of qualified therapists renders treatment unavailable for most sufferers—especially for those who live outside of metropolitan centers. Nurses constitute a majority of the mental health workforce in many countries and are in an optimal position to offer CBT. This presentation will be used to describe research related to computer-aided CBT as a clinician extender for treatment of anxiety and depression. Data that compares computer-aided therapy against other CBT modalities according to clinical efficacy, outcomes, client preference, treatment availability and accessibility, and cost effectiveness will be discussed. The successes and challenges faced by nurses in implementing computerized treatment approaches from recent projects will be outlined.