Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Apr 14, 2022
Date Accepted: Aug 18, 2022
Date Submitted to PubMed: Oct 11, 2022
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
A chatbot to support New Zealand young people during the COVID-19 pandemic: Evaluation of a real world roll out of an open trial
ABSTRACT
Background:
The number of young people in New Zealand who experience mental health challenges is increasing. As New Zealand was going into its 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 New Zealand’s lockdown commenced on 20 March 2020. By leveraging previously developed chatbot technology and broader existing online trial infrastructure, the Aroha chatbot was launched promptly on 7 April 2020. Dissemination of the chatbot for an open trial was via a URL, feedback on experience of the lockdown and on the experience of Aroha was gathered via online questionnaires, a focus group, and from community members.
Results:
In the two 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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