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Evidence of Human-Level Bonds Established With a Digital Conversational Agent: Cross-sectional, Retrospective Observational Study

机译:以数字对话代理商建立的人级债券的证据:横截面,回顾性观察研究

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Background There are far more patients in mental distress than there is time available for mental health professionals to support them. Although digital tools may help mitigate this issue, critics have suggested that technological solutions that lack human empathy will prevent a bond or therapeutic alliance from being formed, thereby narrowing these solutions’ efficacy. Objective We aimed to investigate whether users of a cognitive behavioral therapy (CBT)–based conversational agent would report therapeutic bond levels that are similar to those in literature about other CBT modalities, including face-to-face therapy, group CBT, and other digital interventions that do not use a conversational agent. Methods A cross-sectional, retrospective study design was used to analyze aggregate, deidentified data from adult users who self-referred to a CBT-based, fully automated conversational agent (Woebot) between November 2019 and August 2020. Working alliance was measured with the Working Alliance Inventory-Short Revised (WAI-SR), and depression symptom status was assessed by using the 2-item Patient Health Questionnaire (PHQ-2). All measures were administered by the conversational agent in the mobile app. WAI-SR scores were compared to those in scientific literature abstracted from recent reviews. Results Data from 36,070 Woebot users were included in the analysis. Participants ranged in age from 18 to 78 years, and 57.48% (20,734/36,070) of participants reported that they were female. The mean PHQ-2 score was 3.03 (SD 1.79), and 54.67% (19,719/36,070) of users scored over the cutoff score of 3 for depression screening. Within 5 days of initial app use, the mean WAI-SR score was 3.36 (SD 0.8) and the mean bond subscale score was 3.8 (SD 1.0), which was comparable to those in recent studies from the literature on traditional, outpatient, individual CBT and group CBT (mean bond subscale scores of 4 and 3.8, respectively). PHQ-2 scores at baseline weakly correlated with bond scores (r=?0.04; P Conclusions Although bonds are often presumed to be the exclusive domain of human therapeutic relationships, our findings challenge the notion that digital therapeutics are incapable of establishing a therapeutic bond with users. Future research might investigate the role of bonds as mediators of clinical outcomes, since boosting the engagement and efficacy of digital therapeutics could have major public health benefits.
机译:背景,精神痛苦的患者远远超过精神卫生专业人员来支持他们的时间。虽然数字工具可能有助于减轻这个问题,但批评者提出了缺乏人类同理心的技术解决方案将阻止债券或治疗联盟正在形成,从而缩小这些解决方案的功效。目的我们旨在调查认知行为治疗的用户(CBT)的对话剂是否报告治疗债券水平,类似于其他CBT等级的文学中的核性水平,包括面对面治疗,CBT和其他数字不使用会话代理的干预措施。方法使用横截面,回顾性研究设计用于分析从2019年11月和2020年11月间自我提到的基于CBT基于基于CBT的全自动的会话代理(WoeBot)的成年用户的总部。通过使用2项患者健康调查问卷(PHQ-2)评估工作联盟库存简短修订(WAI-SR)和抑郁症状状态。所有措施都是通过移动应用程序的会话代理管理。将WAI-SR分数与近期点评提高的科学文学中的分数进行了比较。结果来自36,070个WoeBot用户的数据被列入分析中。参与者在18至78岁的年龄范围内,57.48%(20,734 / 36,0707070)名称报告称他们是女性。平均PHQ-2得分为3.03(SD 1.79),54.67%(19,719 / 36,07070)的用户在抑郁症筛选的截止得分为3分。在初始应用程序使用的5天内,平均WAI-SR得分为3.36(SD 0.8),平均债券分量分数为3.8(SD 1.0),其与最近来自传统,门诊,个人的文献的研究中的研究相当CBT和Group CBT(分别为4和3.8分别为4和3.8)。基线的PHQ-2分数与债券分数弱相关(R = 0.04; P结论,尽管债券经常被推测为人类治疗关系的独家领域,我们的研究结果挑战数字治疗方法无法建立治疗债券的观念用户。未来的研究可能会调查债券作为临床结果的调解员的作用,因为推动数字治疗学的参与和疗效可能具有重大的公共卫生益处。

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