Please use this identifier to cite or link to this item: https://une.intersearch.com.au/unejspui/handle/1959.11/7991
Title: Computer-Assisted CBT for Depression and Anxiety: Increasing Accessibility to Evidence-Based Mental Health Treatment
Contributor(s): Stuhlmiller, Cynthia  (author); Tolchard, Barry  (author)
Publication Date: 2009
DOI: 10.3928/02793695-20090527-01
Handle Link: https://hdl.handle.net/1959.11/7991
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.
Publication Type: Journal Article
Source of Publication: Journal of Psychosocial Nursing and Mental Health Services, 47(7), p. 32-39
Publisher: Slack, Inc
Place of Publication: United States of America
ISSN: 0279-3695
1938-2413
Field of Research (FOR): 111717 Primary Health Care
110319 Psychiatry (incl Psychotherapy)
111005 Mental Health Nursing
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
School of Health

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