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A Chatbot to Support Young People During the COVID-19 Pandemic in New Zealand: Evaluation of the Real-World Rollout of an Open Trial.
Ludin, Nicola; Holt-Quick, Chester; Hopkins, Sarah; Stasiak, Karolina; Hetrick, Sarah; Warren, Jim; Cargo, Tania.
Afiliación
  • Ludin N; Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand.
  • Holt-Quick C; Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand.
  • Hopkins S; School of Computer Science, The University of Auckland, Auckland, New Zealand.
  • Stasiak K; Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand.
  • Hetrick S; Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand.
  • Warren J; Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand.
  • Cargo T; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia.
J Med Internet Res ; 24(11): e38743, 2022 11 04.
Article en En | MEDLINE | ID: mdl-36219754
BACKGROUND: The number of young people in New Zealand (Aotearoa) who experience mental health challenges is increasing. As those in Aotearoa went into the initial COVID-19 lockdown, an ongoing digital mental health project was adapted and underwent rapid content authoring to create the Aroha chatbot. This dynamic digital support was designed with and for young people to help manage pandemic-related worry. OBJECTIVE: Aroha was developed to provide practical evidence-based tools for anxiety management using cognitive behavioral therapy and positive psychology. The chatbot included practical ideas to maintain social and cultural connection, and to stay active and well. METHODS: Stay-at-home orders under Aotearoa's lockdown commenced on March 20, 2020. By leveraging previously developed chatbot technology and broader existing online trial infrastructure, the Aroha chatbot was launched promptly on April 7, 2020. Dissemination of the chatbot for an open trial was via a URL, and feedback on the experience of the lockdown and the experience of Aroha was gathered via online questionnaires and a focus group, and from community members. RESULTS: In the 2 weeks following the launch of the chatbot, there were 393 registrations, and 238 users logged into the chatbot, of whom 127 were in the target age range (13-24 years). Feedback guided iterative and responsive content authoring to suit the dynamic situation and motivated engineering to dynamically detect and react to a range of conversational intents. CONCLUSIONS: The experience of the implementation of the Aroha chatbot highlights the feasibility of providing timely event-specific digital mental health support and the technology requirements for a flexible and enabling chatbot architectural framework.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: COVID-19 / Trastornos Mentales Tipo de estudio: Diagnostic_studies / Qualitative_research Límite: Adolescent / Adult / Humans País/Región como asunto: Oceania Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Nueva Zelanda

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: COVID-19 / Trastornos Mentales Tipo de estudio: Diagnostic_studies / Qualitative_research Límite: Adolescent / Adult / Humans País/Región como asunto: Oceania Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Nueva Zelanda