Effects of Chatbot Components to Facilitate Mental Health Services Use in Individuals With Eating Disorders Following Online Screening: An Optimization Randomized Controlled Trial

聊天机器人 动机式访谈 心理教育 有用性 随机对照试验 心理健康 医学 心理学 干预(咨询) 临床心理学 精神科 万维网 社会心理学 外科 计算机科学
作者
Ellen E. Fitzsimmons‐Craft,Gavin N. Rackoff,Jillian Shah,Jillian C Strayhorn,Laura D’Adamo,Bianca DePietro,Carli P. Howe,Marie‐Laure Firebaugh,Michelle G. Newman,Linda M. Collins,C. Barr Taylor,Denise E. Wilfley
出处
期刊:International Journal of Eating Disorders [Wiley]
卷期号:57 (11): 2204-2216 被引量:10
标识
DOI:10.1002/eat.24260
摘要

ABSTRACT Objective Few individuals with eating disorders (EDs) receive treatment. Innovations are needed to identify individuals with EDs and address care barriers. We developed a chatbot for promoting services uptake that could be paired with online screening. However, it is not yet known which components drive effects. This study estimated individual and combined contributions of four chatbot components on mental health services use (primary), chatbot helpfulness, and attitudes toward changing eating/shape/weight concerns (“change attitudes,” with higher scores indicating greater importance/readiness). Method s Two hundred five individuals screening with an ED but not in treatment were randomized in an optimization randomized controlled trial to receive up to four chatbot components: psychoeducation, motivational interviewing, personalized service recommendations, and repeated administration (follow‐up check‐ins/reminders). Assessments were at baseline and 2, 6, and 14 weeks. Results Participants who received repeated administration were more likely to report mental health services use, with no significant effects of other components on services use. Repeated administration slowed the decline in change attitudes participants experienced over time. Participants who received motivational interviewing found the chatbot more helpful, but this component was also associated with larger declines in change attitudes. Participants who received personalized recommendations found the chatbot more helpful, and receiving this component on its own was associated with the most favorable change attitude time trend. Psychoeducation showed no effects. Discussion Results indicated important effects of components on outcomes; findings will be used to finalize decision making about the optimized intervention package. The chatbot shows high potential for addressing the treatment gap for EDs.
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