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

Cynthia Stuhlmiller, Barry Tolchard

Research output: Contribution to journalArticlepeer-review

17 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 languageEnglish
Pages (from-to)32-39
JournalJournal of Psychosocial Nursing and Mental Health Services
Volume47
Issue number7
DOIs
Publication statusPublished - 2009

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Mental Health Nursing
  • Psychiatry (incl Psychotherapy)
  • Primary Health Care

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