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System design of a text messaging program to support the mental health needs of non-treatment seeking young adults.
Meyerhoff, Jonah; Nguyen, Theresa; Karr, Chris J; Reddy, Madhu; Williams, Joseph J; Bhattacharjee, Ananya; Mohr, David C; Kornfield, Rachel.
Afiliação
  • Meyerhoff J; Northwestern University, Center for Behavioral Intervention Technologies, 750 N. Lake Shore Drive, 10 Floor, Chicago, IL 60611, USA.
  • Nguyen T; Mental Health America, 500 Montgomery Street, Suite 820, Alexandria, VA 22314, USA.
  • Karr CJ; Audacious Software, 3900 N. Fremont Street, Unit B, Chicago, IL 60613.
  • Reddy M; University of California, Irvine, Donald Bren School of Information and Computer Sciences, Department of informatics, 6210 Donald Bren Hall, Irvine, CA 92697, USA.
  • Williams JJ; University of Toronto, Department of Computer Science, 40 St. George Street, Toronto, ON M5S 2E4, Canada.
  • Bhattacharjee A; University of Toronto, Department of Computer Science, 40 St. George Street, Toronto, ON M5S 2E4, Canada.
  • Mohr DC; Northwestern University, Center for Behavioral Intervention Technologies, 750 N. Lake Shore Drive, 10 Floor, Chicago, IL 60611, USA.
  • Kornfield R; Northwestern University, Center for Behavioral Intervention Technologies, 750 N. Lake Shore Drive, 10 Floor, Chicago, IL 60611, USA.
Procedia Comput Sci ; 206: 68-80, 2022.
Article em En | MEDLINE | ID: mdl-36388769
Young adults (ages 18-25) experience the highest levels of mental health problems of any adult age group, but have the lowest mental health treatment rates. Text messages are the most used feature on the mobile phone and provide an opportunity to reach non-treatment engaged users throughout the day in a conversational manner. We present the design of an automated text message-based intervention for symptom self-management. The intervention comprises: (1) psychological strategies (i.e., types of evidence-based techniques leveraged to achieve symptom reduction) and (2) interaction types or the form that intervention content takes as it is delivered to and elicited from users.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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