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Network-based prediction of the disclosure of ideation about self-harm and suicide in online counseling sessions.
Xu, Zhongzhi; Chan, Christian S; Zhang, Qingpeng; Xu, Yucan; He, Lihong; Cheung, Florence; Yang, Jiannan; Chan, Evangeline; Fung, Jerry; Tsang, Christy; Liu, Joyce; Yip, Paul S F.
Afiliação
  • Xu Z; School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Chan CS; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China.
  • Zhang Q; Department of Psychology, The University of Hong Kong, Hong Kong SAR, China. shaunlyn@hku.hk.
  • Xu Y; Department of Psychology and Linguistics, International Christian University, Tokyo, Japan. shaunlyn@hku.hk.
  • He L; School of Data Science, City University of Hong Kong, Hong Kong SAR, China.
  • Cheung F; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China.
  • Yang J; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China.
  • Chan E; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China.
  • Fung J; School of Data Science, City University of Hong Kong, Hong Kong SAR, China.
  • Tsang C; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China.
  • Liu J; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China.
  • Yip PSF; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China.
Commun Med (Lond) ; 2(1): 156, 2022 Dec 06.
Article em En | MEDLINE | ID: mdl-36474010
In online counseling, the help-provider can often be engaging with several service users simultaneously. Therefore, new tools that could help to alert and assist the help-provider and increase their preparedness for getting further help for service users could be useful. In this study, we developed and tested a new tool that is designed to alert help-providers to the disclosure of self-harm and suicidal thoughts, based on the words that the service user has been typing. The tool is developed on the basis that word usage may have a specific pattern when suicidal thoughts are more likely to occur. We tested our tool using two years' worth of online counseling conversations and we show that our approach can help to predict the confession of suicidal thoughts. As such, we are taking a step forward in helping to improve these counseling services.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article