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社区认知行为治疗督导中基于人工智能的逼真度测量的知识和态度。

Knowledge and Attitudes Toward an Artificial Intelligence-Based Fidelity Measurement in Community Cognitive Behavioral Therapy Supervision.

机构信息

Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Penn Collaborative for CBT & Implementation Science, 3535 Market Street, Suite 3046, Philadelphia, PA, 19104, USA.

出版信息

Adm Policy Ment Health. 2022 May;49(3):343-356. doi: 10.1007/s10488-021-01167-x. Epub 2021 Sep 18.

Abstract

To capitalize on investments in evidence-based practices, technology is needed to scale up fidelity assessment and supervision. Stakeholder feedback may facilitate adoption of such tools. This evaluation gathered stakeholder feedback and preferences to explore whether it would be fundamentally feasible or possible to implement an automated fidelity-scoring supervision tool in community mental health settings. A partially mixed, sequential research method design was used including focus group discussions with community mental health therapists (n = 18) and clinical leadership (n = 12) to explore typical supervision practices, followed by discussion of an automated fidelity feedback tool embedded in a cloud-based supervision platform. Interpretation of qualitative findings was enhanced through quantitative measures of participants' use of technology and perceptions of acceptability, appropriateness, and feasibility of the tool. Initial perceptions of acceptability, appropriateness, and feasibility of automated fidelity tools were positive and increased after introduction of an automated tool. Standard supervision was described as collaboratively guided and focused on clinical content, self-care, and documentation. Participants highlighted the tool's utility for supervision, training, and professional growth, but questioned its ability to evaluate rapport, cultural responsiveness, and non-verbal communication. Concerns were raised about privacy and the impact of low scores on therapist confidence. Desired features included intervention labeling and transparency about how scores related to session content. Opportunities for asynchronous, remote, and targeted supervision were particularly valued. Stakeholder feedback suggests that automated fidelity measurement could augment supervision practices. Future research should examine the relations among use of such supervision tools, clinician skill, and client outcomes.

摘要

为了充分利用在循证实践方面的投资,需要利用技术扩大保真度评估和监督的规模。利益相关者的反馈可能有助于采用这些工具。本评估收集了利益相关者的反馈和偏好,以探讨在社区心理健康环境中实施自动化保真度评分监督工具在根本上是否可行或可能。采用了部分混合的顺序研究方法设计,包括与社区心理健康治疗师(n=18)和临床领导(n=12)进行焦点小组讨论,以探讨典型的监督实践,然后讨论嵌入基于云的监督平台的自动化保真反馈工具。通过参与者对技术的使用和对工具的可接受性、适当性和可行性的定量衡量来增强对定性发现的解释。自动化保真工具的初始可接受性、适当性和可行性的看法是积极的,并在引入自动化工具后有所增加。标准监督被描述为协作指导,重点关注临床内容、自我保健和文件记录。参与者强调了该工具在监督、培训和专业成长方面的实用性,但对其评估融洽关系、文化响应能力和非言语沟通的能力提出了质疑。人们对隐私和低分数对治疗师信心的影响表示担忧。所需的功能包括干预标记和关于分数与会议内容的关系的透明度。异步、远程和有针对性的监督机会尤其受到重视。利益相关者的反馈表明,自动化保真度测量可以增强监督实践。未来的研究应研究使用此类监督工具、临床医生技能和客户结果之间的关系。

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