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The Use of Computer-Driven Technologies in the Treatment of Borderline Personality Disorder: A Systematic Review.
Hudon, Alexandre; Gaudreau-Ménard, Caroline; Bouchard-Boivin, Marissa; Godin, Francis; Cailhol, Lionel.
Afiliação
  • Hudon A; Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada.
  • Gaudreau-Ménard C; GMF-U Hochelaga-Maisonneuve, Montreal, QC H1V 1K2, Canada.
  • Bouchard-Boivin M; Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada.
  • Godin F; Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada.
  • Cailhol L; Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3M5, Canada.
J Clin Med ; 11(13)2022 Jun 26.
Article em En | MEDLINE | ID: mdl-35806970
ABSTRACT
The objective of this study was to perform a systematic review of the effectiveness of computer-driven technologies for treatment of patients suffering from BPD. A systematic literature review was conducted using the Pubmed, EMBASE, PsycNET (PsycINFO), CINAHL and Google Scholar electronic databases for the period from their inception dates until 2022. Thirty studies were selected for abstract screening. Seven studies were excluded for not meeting inclusion criteria. The remaining 23 studies were fully assessed, and 12 were excluded. Therefore, 11 studies were included in the analysis of the effectiveness of computer-driven technologies, which encompassed mobile applications, telehealth interventions, internet-based interventions, virtual reality MBT and dialogue-based integrated interventions. Computer-driven interventions are showing signs of effectiveness in the treatment of BPD symptoms. The limited number of articles found on the subject demonstrates a need for further exploration of this subject.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2022 Tipo de documento: Article