Can a Chatbot-delivered Alcohol Intervention Engage Users and Enhance Outcomes Over a Smartphone App? Development and Feasibility Testing of a StepAway 'Bot'

聊天机器人提供的酒精干预能否通过智能手机应用程序吸引用户并提高结果？

• 批准号: 9601549
• 负责人: Patrick L Dulin
• 金额: $ 29.3万
• 依托单位: UNIVERSITY OF ALASKA ANCHORAGE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9601549
• 关键词: Age; Alcohol abuse; Alcohol consumption; Alcohol dependence; Alcohols; Behavioral; Bibliotherapy; Cellular Phone; Communication; Data; Data Analyses; Data Analytics; Data Collection; Development; Devices; Distress; Effectiveness; Evaluation; Feedback; Funding; Gender; Goals; Grant; Health; Human; Individual; Intervention; Interview; Knowledge; Language; Location; Methods; Mobile Health Application; Monitor; Online Systems; Outcome; Participant; Patient Recruitments; Perception; Phase; Pilot Projects; Process; Protocols documentation; Randomized Controlled Trials; Research; Sampling; Schedule; Self-Administered; Social support; System; Technology; Testing; Text; Time; alcohol abuse therapy; alcohol intervention; alcohol use disorder; base; checkup examination; conventional therapy; coping; craving; design; drinking; experience; follow-up; group intervention; hazardous drinking; high risk; improved; interest; new technology; novel strategies; participant retention; problem drinker; psychoeducational; service intervention; smartphone Application; social stigma; support network; therapy development; treatment as usual; usability; week trial

PROJECT SUMMARY / ABSTRACT A wide gap exists between the number of individuals needing alcohol treatment and those actually receiving it. Many factors account for this gap, including stigma, treatment availability and affordability, and individuals wanting to solve their problems independently. Technologically-delivered interventions may dramatically increase the number of individuals who receive needed alcohol intervention services due to their ability to circumvent treatment barriers. Smartphones are the ideal devices to provide empirically-supported intervention assistance whenever and wherever it is needed. Our research team previously developed and tested a stand-alone, self-administered smartphone-based intervention system for alcohol use disorders that was based on empirically supported face-to-face treatments. This Location-Based Monitoring and Intervention for Alcohol Use Disorders (LBMI-A) system provided a progression through psychoeducational modules and in-the-moment interventions to reduce the likelihood of drinking. In a preliminary 6-week trial study, we contrasted the LBMI-A with a web-based intervention, the Drinker's Checkup (DCU) that was supplemented with bibliotherapy. While alcohol consumption was reduced by >50% in both interventions, only the LBMI-A produced a significant increase in percentage of days abstinent. Greater LBMI-A usage was associated with greater reductions in drinking. A revised and improved iPhone-based version, Step Away, has been developed and has been used by individuals downloading it from the iTunes App Store. Our Step Away usage data indicate that user engagement with modules that are not “pushed” to the user is relatively low, which is a problem that many health apps experience. A new method of delivering Step Away through an artificially intelligent chatbot will be developed in this study that holds potential for providing enhanced user engagement and effectiveness as it can reach out through a text interface to introduce new intervention steps and respond to the user with Step Away's in-the-moment help with having a craving, experiencing distress or needing social support. It could serve as a personal assistant that guides a user through a process of changing their drinking. This project will focus on developing a Step Away chatbot during the first phase of the study. We will also enhance the existing Step Away app's user interface for optimal usability. The second phase will entail performing a pilot study to determine if the Step Away chatbot has enhanced user engagement, intervention fidelity and outcome efficacy in comparison to the Step Away app among a group of problem drinkers. A control condition will consist of a minimal intervention; an assessment-only app. Participants will be interviewed to determine their perceptions of both interventions with a view towards understanding barriers to user engagement. Finally, this project will set the stage for a further, large-scale evaluation of Step Away, the content of which will be determined by the outcome of the pilot study.

项目总结/摘要 需要酒精治疗的人数与实际接受治疗的人数之间存在很大差距。 造成这一差距的因素很多，包括耻辱感、治疗的可获得性和可负担性，以及个人 想要独立解决问题。通过技术手段实施的干预措施 增加因其能力而接受所需酒精干预服务的人数， 规避治疗障碍。智能手机是提供医疗支持干预的理想设备 无论何时何地需要帮助。我们的研究团队先前开发并测试了一种 独立的，自我管理的基于智能手机的酒精使用障碍干预系统， 基于经验支持的面对面治疗。这种基于位置的监测和干预 酒精使用障碍（LBMI-A）系统通过心理教育模块提供进展 和即时干预来减少饮酒的可能性。在为期6周的初步试验研究中，我们 将LBMI-A与基于网络的干预措施进行了对比，即补充了 阅读疗法虽然在两种干预措施中，饮酒量都减少了>50%，但只有LBMI-A 产生了禁欲天数百分比的显著增加。LBMI-A使用量增加与 饮酒量也会大大减少。经过修订和改进的基于iPhone的版本，Step Away，已经 开发并已被个人从iTunes App Store下载使用。我们的一步之遥 使用数据指示用户与未被“推”给用户的模块的参与相对较低， 这是许多健康应用程序都会遇到的问题。一种通过 人工智能聊天机器人将在这项研究中开发，具有提供增强用户的潜力 参与和有效性，因为它可以通过文本界面进行接触，以引入新的干预措施 步骤和响应用户与步骤远离的即时帮助有一个渴望，体验 痛苦或需要社会支持。它可以作为一个个人助理，引导用户通过一个 改变他们的饮酒习惯。该项目将专注于在第一阶段开发一个Step Away聊天机器人。 研究的阶段。我们还将增强现有Step Away应用程序的用户界面，以实现最佳可用性。 第二阶段将进行试点研究，以确定Step Away聊天机器人是否增强了 与Step Away应用程序相比， 一群酗酒的人对照条件将包括最小干预;仅评估 附录将对参与者进行访谈，以确定他们对这两种干预措施的看法， 了解用户参与的障碍。最后，该项目将为进一步的大规模 评估"远离“方案，其内容将根据试点研究的结果确定。