An Automated Conversational Agent Self-Help Program: Randomized Controlled Trial

BackgroundHealth promotion and growth-based interventions can effectively improve individual well-being; however, significant gaps in access and utilization still exist. ObjectiveThis study aims to develop and test the effectiveness and implementation of a new, wi...

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Main Authors: Heather M Foran, Christian Kubb, Janina Mueller, Spencer Poff, Megan Ung, Margaret Li, Eric Michael Smith, Akinniyi Akinyemi, Melanie Kambadur, Franziska Waller, Mario Graf, Y-Lan Boureau
Format: Article
Language:English
Published: JMIR Publications 2024-12-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2024/1/e53829
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author Heather M Foran
Christian Kubb
Janina Mueller
Spencer Poff
Megan Ung
Margaret Li
Eric Michael Smith
Akinniyi Akinyemi
Melanie Kambadur
Franziska Waller
Mario Graf
Y-Lan Boureau
author_facet Heather M Foran
Christian Kubb
Janina Mueller
Spencer Poff
Megan Ung
Margaret Li
Eric Michael Smith
Akinniyi Akinyemi
Melanie Kambadur
Franziska Waller
Mario Graf
Y-Lan Boureau
author_sort Heather M Foran
collection DOAJ
description BackgroundHealth promotion and growth-based interventions can effectively improve individual well-being; however, significant gaps in access and utilization still exist. ObjectiveThis study aims to develop and test the effectiveness and implementation of a new, widely targeted conversational agent prevention program (Zenny) designed to enhance well-being. MethodsA total of 1345 individuals in the United States were recruited online and randomly assigned to either (1) a self-help program intervention delivered via an automated conversational agent on WhatsApp or (2) an active control group that had access to evidence-based wellness resources available online. The primary outcomes were well-being (measured using the 5-item World Health Organization Well-being Scale), psychosocial flourishing (assessed with the Flourishing Scale), and positive psychological health (evaluated with the Mental Health Continuum-Short Form). Outcome measures were collected at baseline and again 1 month postassessment. All analyses were conducted using an intention-to-treat approach. ResultsBoth groups showed significant improvements in well-being (self-help program intervention group effect size: Cohen d=0.26, P<.001; active control group effect size: d=0.24, P<.001), psychosocial flourishing (intervention: d=0.19, P<.001; active control: d=0.18, P<.001), and positive psychological health (intervention: d=0.17, P=.001; active control: d=0.24, P<.001) at postassessment. However, there were no significant differences in effectiveness between the 2 groups (P ranged from .56 to .92). As hypothesized a priori, a greater number of days spent actively engaging with the conversational agent was associated with larger improvements in well-being at postassessment among participants in the intervention group (β=.109, P=.04). ConclusionsThe findings from this study suggest that the free conversational agent wellness self-help program was as effective as evidence-based web resources. Further research should explore strategies to increase participant engagement over time, as only a portion of participants were actively involved, and higher engagement was linked to greater improvements in well-being. Long-term follow-up studies are also necessary to assess whether these effects remain stable over time. Trial RegistrationClinicalTrials.gov NCT06208566; https://clinicaltrials.gov/ct2/show/NCT06208566; OSF Registries osf.io/ahe2r; https://doi.org/10.17605/osf.io/ahe2r
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publishDate 2024-12-01
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spelling doaj-art-f202906e55c24407a07cf42a40fc03a52024-12-06T15:45:41ZengJMIR PublicationsJournal of Medical Internet Research1438-88712024-12-0126e5382910.2196/53829An Automated Conversational Agent Self-Help Program: Randomized Controlled TrialHeather M Foranhttps://orcid.org/0000-0001-6659-5500Christian Kubbhttps://orcid.org/0000-0002-9514-1281Janina Muellerhttps://orcid.org/0000-0002-5005-2218Spencer Poffhttps://orcid.org/0009-0001-6189-8366Megan Unghttps://orcid.org/0000-0003-3063-3207Margaret Lihttps://orcid.org/0009-0008-3512-5563Eric Michael Smithhttps://orcid.org/0009-0005-3076-1948Akinniyi Akinyemihttps://orcid.org/0009-0004-2361-8476Melanie Kambadurhttps://orcid.org/0009-0008-7481-6850Franziska Wallerhttps://orcid.org/0000-0002-4576-4325Mario Grafhttps://orcid.org/0000-0001-6443-1342Y-Lan Boureauhttps://orcid.org/0009-0008-3990-5778 BackgroundHealth promotion and growth-based interventions can effectively improve individual well-being; however, significant gaps in access and utilization still exist. ObjectiveThis study aims to develop and test the effectiveness and implementation of a new, widely targeted conversational agent prevention program (Zenny) designed to enhance well-being. MethodsA total of 1345 individuals in the United States were recruited online and randomly assigned to either (1) a self-help program intervention delivered via an automated conversational agent on WhatsApp or (2) an active control group that had access to evidence-based wellness resources available online. The primary outcomes were well-being (measured using the 5-item World Health Organization Well-being Scale), psychosocial flourishing (assessed with the Flourishing Scale), and positive psychological health (evaluated with the Mental Health Continuum-Short Form). Outcome measures were collected at baseline and again 1 month postassessment. All analyses were conducted using an intention-to-treat approach. ResultsBoth groups showed significant improvements in well-being (self-help program intervention group effect size: Cohen d=0.26, P<.001; active control group effect size: d=0.24, P<.001), psychosocial flourishing (intervention: d=0.19, P<.001; active control: d=0.18, P<.001), and positive psychological health (intervention: d=0.17, P=.001; active control: d=0.24, P<.001) at postassessment. However, there were no significant differences in effectiveness between the 2 groups (P ranged from .56 to .92). As hypothesized a priori, a greater number of days spent actively engaging with the conversational agent was associated with larger improvements in well-being at postassessment among participants in the intervention group (β=.109, P=.04). ConclusionsThe findings from this study suggest that the free conversational agent wellness self-help program was as effective as evidence-based web resources. Further research should explore strategies to increase participant engagement over time, as only a portion of participants were actively involved, and higher engagement was linked to greater improvements in well-being. Long-term follow-up studies are also necessary to assess whether these effects remain stable over time. Trial RegistrationClinicalTrials.gov NCT06208566; https://clinicaltrials.gov/ct2/show/NCT06208566; OSF Registries osf.io/ahe2r; https://doi.org/10.17605/osf.io/ahe2rhttps://www.jmir.org/2024/1/e53829
spellingShingle Heather M Foran
Christian Kubb
Janina Mueller
Spencer Poff
Megan Ung
Margaret Li
Eric Michael Smith
Akinniyi Akinyemi
Melanie Kambadur
Franziska Waller
Mario Graf
Y-Lan Boureau
An Automated Conversational Agent Self-Help Program: Randomized Controlled Trial
Journal of Medical Internet Research
title An Automated Conversational Agent Self-Help Program: Randomized Controlled Trial
title_full An Automated Conversational Agent Self-Help Program: Randomized Controlled Trial
title_fullStr An Automated Conversational Agent Self-Help Program: Randomized Controlled Trial
title_full_unstemmed An Automated Conversational Agent Self-Help Program: Randomized Controlled Trial
title_short An Automated Conversational Agent Self-Help Program: Randomized Controlled Trial
title_sort automated conversational agent self help program randomized controlled trial
url https://www.jmir.org/2024/1/e53829
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