Computer-Assisted for Depression and Anxiety: Increasing Accessibility to Evidence-Based Mental Health Treatment

Cynthia Stuhlmiller; Barry Tolchard

doi:10.3928/02793695-20090527-01

Computer-Assisted for Depression and Anxiety: Increasing Accessibility to Evidence-Based Mental Health Treatment

Cynthia Stuhlmiller, Barry Tolchard

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

Cognitive-behavioral therapy (CBT) is the most effective nonpharmacological treatment for almost all mental disorders, especially anxiety and depression. The treatment is time limited, encourages self-help skills, is problem focused, is inductive, and requires that individuals develop and practice skills in their own environment through homework. However, most of those with mental health issues are unable to seek help because of factors related to treatment availability, accessibility, and cost. CBT is well suited to computerization and is easy to teach to nurses. In this article we describe outcome studies of computer-assisted CBT (cCBT), outline the current technologies available, discuss concerns and resistance associated with computerized therapy, and consider the role of nurses in using cCBT.

Original language	English
Pages (from-to)	32-39
Number of pages	8
Journal	Journal of Psychosocial Nursing and Mental Health Services
Volume	47
Issue number	7
DOIs	https://doi.org/10.3928/02793695-20090527-01
Publication status	Published - 2009
Externally published	Yes

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