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21-Day Stress Detox: Open Trial of a Universal Well-Being Chatbot for Young Adults

Ruth Williams, Sarah Hopkins, Chris Frampton, Chester Holt-Quick, Sally Nicola Merry and Karolina Stasiak
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Ruth Williams: Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1010, New Zealand
Sarah Hopkins: Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1010, New Zealand
Chris Frampton: Department of Psychological Medicine, University of Otago, Christchurch 8011, New Zealand
Chester Holt-Quick: Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1010, New Zealand
Sally Nicola Merry: Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1010, New Zealand
Karolina Stasiak: Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1010, New Zealand

Social Sciences, 2021, vol. 10, issue 11, 1-18

Abstract: There has been a lot of interest in digital mental health interventions but adherence to online programmes has been less than optimal. Chatbots that mimic brief conversations may be a more engaging and acceptable mode of delivery. We developed a chatbot, called 21-Day Stress Detox, to deliver stress management techniques for young adults. The purpose of the study was to explore the feasibility, acceptability, and potential efficacy of this low-intensity digital mental health intervention in a non-clinical population of young adults. The content was derived from cognitive behavioural therapy (CBT) and included evidence-informed elements such as mindfulness and gratitude journaling. It was delivered over 21 daily sessions using the Facebook Messenger platform. Each session was intended to last about 5–7 min and included text, animated GIFs, relaxation tracks and reflective exercises. We conducted an open single-arm trial collecting app usage through passive data collection as well as self-rated satisfaction and qualitative (open-ended) feedback. Efficacy was assessed via outcome measures of well-being (World Health Organisation (Five) Well-being Index; WHO-5; and Personal Well-being Measure; ONS4); stress (Perceived Stress Scale–10 item version; PSS-10); and anxiety (Generalized Anxiety Disorder 7-item scale; GAD-7). One hundred and ten of the 124 participants who completed baseline commenced the chatbot and 64 returned the post-intervention assessment. Eighty-one percent were female and 51% were first year students. Forty-five percent were NZ European and 41% were Asian. Mean engagement was 11 days out 21 days ( SD = 7.8). Most (81%) found the chatbot easy to use. Sixty-three percent rated their satisfaction as 7 out of 10 or higher. Qualitative feedback revealed that convenience and relatable content were the most valued features. There was a statistically significant improvement on the WHO-5 of 7.38 (SD = 15.07; p < 0.001) and a mean reduction on the PSS-10 of 1.77 (SD = 4.69; p = 0.004) equating to effect sizes of 0.49 and 0.38, respectively. Those who were clinically anxious at baseline ( n = 25) experienced a greater reduction of GAD-7 symptoms than those ( n = 39) who started the study without clinical anxiety (?1.56, SD = 3.31 vs. 0.67, SD = 3.30; p = 0.011). Using a chatbot to deliver universal psychological support appears to be feasible, acceptable, have good levels of engagement, and lead to significant improvements in well-being and stress. Future iterations of the chatbot should involve a more personalised content.

Keywords: chatbots; stress; anxiety; emerging adults; digital health; low intensity intervention; computerised CBT (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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