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新冠疫情期间通过聊天机器人为大学生提供健康应对干预的参与度和效果:混合方法概念验证研究。

Engagement and Effectiveness of a Healthy-Coping Intervention via Chatbot for University Students During the COVID-19 Pandemic: Mixed Methods Proof-of-Concept Study.

机构信息

Digital Health Lab, Fondazione Bruno Kessler, Trento, Italy.

出版信息

JMIR Mhealth Uhealth. 2021 May 28;9(5):e27965. doi: 10.2196/27965.

Abstract

BACKGROUND

University students are increasingly reporting common mental health problems, such as stress, anxiety, and depression, and they frequently face barriers to seeking psychological support because of stigma, cost, and availability of mental health services. This issue is even more critical in the challenging time of the COVID-19 pandemic. Digital mental health interventions, such as those delivered via chatbots on mobile devices, offer the potential to achieve scalability of healthy-coping interventions by lowering cost and supporting prevention.

OBJECTIVE

The goal of this study was to conduct a proof-of-concept evaluation measuring the engagement and effectiveness of Atena, a psychoeducational chatbot supporting healthy coping with stress and anxiety, among a population of university students.

METHODS

In a proof-of-concept study, 71 university students were recruited during the COVID-19 pandemic; 68% (48/71) were female, they were all in their first year of university, and their mean age was 20.6 years (SD 2.4). Enrolled students were asked to use the Atena psychoeducational chatbot for 4 weeks (eight sessions; two per week), which provided healthy-coping strategies based on cognitive behavioral therapy, positive psychology, and mindfulness techniques. The intervention program consisted of conversations combined with audiovisual clips delivered via the Atena chatbot. Participants were asked to complete web-based versions of the 7-item Generalized Anxiety Disorder scale (GAD-7), the 10-item Perceived Stress Scale (PSS-10), and the Five-Facet Mindfulness Questionnaire (FFMQ) at baseline and postintervention to assess effectiveness. They were also asked to complete the User Engagement Scale-Short Form at week 2 to assess engagement with the chatbot and to provide qualitative comments on their overall experience with Atena postintervention.

RESULTS

Participants engaged with the Atena chatbot an average of 78 (SD 24.8) times over the study period. A total of 61 out of 71 (86%) participants completed the first 2 weeks of the intervention and provided data on engagement (10/71, 14% attrition). A total of 41 participants out of 71 (58%) completed the full intervention and the postintervention questionnaires (30/71, 42% attrition). Results from the completer analysis showed a significant decrease in anxiety symptoms for participants in more extreme GAD-7 score ranges (t=0.94; P=.009) and a decrease in stress symptoms as measured by the PSS-10 (t=2.00; P=.05) for all participants postintervention. Participants also improved significantly in the describing and nonjudging facets, based on their FFMQ subscale scores, and asked for some improvements in the user experience with the chatbot.

CONCLUSIONS

This study shows the benefit of deploying a digital healthy-coping intervention via a chatbot to support university students experiencing higher levels of distress. While findings collected during the COVID-19 pandemic show promise, further research is required to confirm conclusions.

摘要

背景

越来越多的大学生报告常见的心理健康问题,如压力、焦虑和抑郁,他们经常因为污名、成本和心理健康服务的可用性而面临寻求心理支持的障碍。在 COVID-19 大流行的艰难时期,这个问题更加严重。数字心理健康干预措施,如通过移动设备上的聊天机器人提供的干预措施,有可能通过降低成本和支持预防来实现健康应对干预措施的可扩展性。

目的

本研究旨在通过对 Atena 的概念验证评估,测量 Atena(一种支持应对压力和焦虑的心理健康的心理教育聊天机器人)在大学生群体中的参与度和有效性。

方法

在一项概念验证研究中,在 COVID-19 大流行期间招募了 71 名大学生;68%(48/71)为女性,均为大学一年级学生,平均年龄为 20.6 岁(SD 2.4)。入组学生被要求使用 Atena 心理教育聊天机器人进行 4 周(8 次;每周 2 次)的干预,该干预提供了基于认知行为疗法、积极心理学和正念技术的健康应对策略。干预方案包括通过 Atena 聊天机器人提供的对话和视听片段。参与者被要求在基线和干预后完成基于网络的 7 项广泛性焦虑障碍量表(GAD-7)、10 项感知压力量表(PSS-10)和 5 因素正念量表(FFMQ),以评估有效性。他们还在第 2 周完成用户参与度量表-短表,以评估与聊天机器人的参与度,并在干预后对 Atena 的整体体验提供定性评价。

结果

参与者在研究期间平均与 Atena 聊天机器人互动 78 次(SD 24.8)。共有 71 名参与者中的 61 名(86%)完成了前 2 周的干预并提供了参与度数据(71 名参与者中的 10%流失)。共有 71 名参与者中的 41 名(58%)完成了完整的干预和干预后问卷(71 名参与者中的 42%流失)。从完成者分析的结果显示,在 GAD-7 评分范围较高的参与者中,焦虑症状显著下降(t=0.94;P=.009),所有参与者的压力症状均显著下降(PSS-10)(t=2.00;P=.05)。参与者在 FFMQ 子量表评分方面也显著改善了描述和非评判方面,并要求对聊天机器人的用户体验进行一些改进。

结论

本研究表明,通过聊天机器人部署数字健康应对干预措施来支持经历更高程度困扰的大学生是有益的。虽然在 COVID-19 大流行期间收集的研究结果很有希望,但需要进一步的研究来确认结论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab43/8166265/2066f304f40a/mhealth_v9i5e27965_fig1.jpg

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