Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Department of Psychology, The Pennsylvania State University, University Park, PA, USA.
Int J Eat Disord. 2024 Nov;57(11):2204-2216. doi: 10.1002/eat.24260. Epub 2024 Jul 28.
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).
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.
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.
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.
很少有饮食失调(ED)患者接受治疗。需要创新来识别 ED 患者并解决护理障碍。我们开发了一种用于促进服务采用的聊天机器人,它可以与在线筛查相结合。然而,目前尚不清楚哪些组件会产生影响。本研究估计了四个聊天机器人组件对心理健康服务使用(主要)、聊天机器人的有用性以及对改变饮食/体型/体重问题的态度(“改变态度”,得分越高表示越重要/准备就绪)的个体和综合贡献。
205 名经 ED 筛查但未接受治疗的个体在一项优化随机对照试验中随机分为四组,接受多达四个聊天机器人组件:心理教育、动机访谈、个性化服务推荐和重复管理(随访检查/提醒)。评估在基线和 2、6 和 14 周进行。
接受重复管理的参与者更有可能报告心理健康服务的使用,其他组件对服务使用没有显著影响。重复管理减缓了参与者随时间推移而经历的改变态度的下降。接受动机访谈的参与者发现聊天机器人更有用,但该组件也与改变态度的更大下降有关。接受个性化推荐的参与者发现聊天机器人更有用,单独接受该组件与最有利的改变态度时间趋势相关。心理教育没有显示出效果。
结果表明组件对结果有重要影响;研究结果将用于最终确定关于优化干预方案的决策。该聊天机器人显示出解决 ED 治疗差距的巨大潜力。