Phase III Development of a Valid, Reliable, Clinically Feasible Measure of Transactional Success in Aphasic Conversation: Modernizing Methods of Acquisition and Analysis of Discourse Data

失语对话中交易成功的有效、可靠、临床可行的衡量标准的第三阶段开发：话语数据采集和分析的现代化方法

• 批准号: 10617305
• 负责人: Jacquie Kurland
• 金额: $ 19.94万
• 依托单位: UNIVERSITY OF MASSACHUSETTS AMHERST
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10617305
• 关键词: Address; Affect; American; Aphasia; Area; Assessment tool; Characteristics; Chronic; Clinical; Code; Collection; Communication; Computer software; Consumption; Data; Data Analyses; Data Collection; Databases; Development; Discourse analysis; Disease; Elderly; Elements; Expressive Aphasia; Factor Analysis; Familiarity; Genetic Transcription; Goals; Impairment; Intervention; Joints; Language; Language Disorders; Left; Life; Linguistics; Manuals; Measurement; Measures; Mediation; Methods; Modeling; National Institute on Deafness and Other Communication Disorders; Natural Language Processing; Nature; Non-aphasic; Online Systems; Outcome; Outcome Measure; Performance; Persons; Phase; Psychometrics; Pythons; Reporting; Research; Research Personnel; Resources; Sampling; Severities; Social isolation; Source; Speech; Speech Therapy; Stimulus; Strategic Planning; Technology; Testing; Text; Time; Transact; Treatment outcome; Validation; Videoconferencing; Voice; Workload; automated analysis; clinical application; clinical practice; cohort; design; disability; efficacy research; expectation; experience; improved; innovation; interest; language impairment; language outcome; multimodality; novel; open source tool; programs; psychosocial; remote delivery; skills; stem; stroke survivor; success; theories; tool; treatment response

SUMMARY Models for assessing and treating aphasia, a language disorder affecting at least 2.5 million Americans, have gradually moved from an impairment-based to a participation-based framework. However, there exist no valid, reliable, clinically practical tools for directly measuring gains in conversation, the most frequent communicative activity of daily life in older adults. The long-range goal of the proposed study is to provide a theoretically grounded, practical, automated tool for clinicians and clinical researchers to assess changes in transactional success in conversation without transcribing and analyzing aphasic discourse, a time- and resource-intensive skill that hinders the inclusion of conversational discourse in treatment outcomes. We propose to fill this gap with the recently piloted Brief Assessment of Transactional Success in conversation (BATS). After watching and/or listening to short (2.5 minute) BATS video/audio stimuli, people with aphasia (PWA) retell the story in a monologic discourse task and then engage with a conversation partner who is naïve to the story, who then retell the story. The objectives of the proposed study are twofold: Aim 1 will demonstrate the reliability of the BATS and its validity in assessing transactional success. Reliability coefficients will be calculated for alternate forms of the video/audio stimuli as assessed by core lexicons, main concepts and comprehensiveness ratings. The magnitude of multiple potential sources of measurement error will be estimated to identify optimal data collection conditions (e.g., conversation partner familiarity). Evidence of converging and discriminant validation will evaluate the degree to which the BATS measures constructs such as joint action, total communication, and context, the three core elements that characterize the situated language use model of communication, and that enable PWA to communicate better than they talk. Aim 2 will advance automated methods of studying discourse in aphasia. Text analysis tools from open-source natural language processing platforms will interface with Python programs to assess core lexicons and topic similarity in conversation partner story retells. Pilot data suggests that use of automated methods for assessing micro- and macrolinguistic features of discourse to reveal transactional success in conversation in aphasia is feasible. This research is innovative because it applies 21st century videoconferencing technology to deliver a novel tool for assessing transactional success in conversation, while developing an automated software application to make the tool accessible to clinicians and clinical researchers who serve PWA, even in remote areas. The contribution is significant in that it will overcome a major obstacle in measuring real-world functional response to therapy in aphasia. Incorporating the three levels of BATS discourse (PWA story retells, dyadic conversations, and conversation partner retells) into AphasiaBank will create a rich, shared online database for studying how PWA succeed in co-constructing meaning in conversation. This project reflects current priorities in Areas 3 and 4 in the NIDCD strategic plan for Voice, Speech, and Language Research.

概括 用于评估和治疗失语症（一种影响至少 250 万美国人的语言障碍）的模型 逐渐从基于损害的框架转向基于参与的框架。然而，不存在有效的、基于参与的框架。 可靠、临床实用的工具，用于直接测量对话（最常见的交流方式）中的收益 本研究的长期目标是提供一个理论依据。 扎根、实用、自动化的工具，供羊毛和临床研究人员评估交易变化 无需转录和分析失语症话语即可成功进行对话，这是一种耗时和资源密集型的过程 我们建议填补这一空白。 最近试行的对话中交易成功的简要评估（BATS）。 和/或听短（2.5 分钟）BATS 视频/音频刺激，失语症患者 (PWA) 以一种 独白话语任务，然后与对故事不了解的对话伙伴进行交流，然后 重述这个故事。拟议研究的目标有两个：目标 1 将证明以下内容的可靠性： BATS 及其评估交易成功的有效性将被计算。 通过核心词汇、主要概念和评估来评估视频/音频刺激的替代形式 综合性评级的多个潜在测量误差源的大小将是 估计以确定最佳数据收集条件（例如，对话伙伴熟悉程度的证据）。 收敛和判别验证将评估 BATS 测量构建此类的程度 联合行动、全面沟通和环境是表征情境的三个核心要素 语言使用的交流模型，使 PWA 能够比他们说话更好地进行交流。 预先研究失语症话语的自动化方法来自开源自然的文本分析工具。 语言处理平台将与 Python 程序交互以评估核心词典和主题相似性 在对话伙伴故事重述中，试点数据表明使用自动化方法来评估微观。 话语的宏观语言特征可以揭示失语症患者对话中交易的成功。 这项研究具有创新性，因为它应用了 21 世纪的视频会议技术来提供新颖的 用于评估对话中交易成功与否的工具，同时开发自动化软件应用程序 使为 PWA 服务的大众和临床研究人员能够使用该工具，即使是在偏远地区。 贡献是重大的，因为它将克服测量现实世界功能的主要障碍 结合 BATS 话语的三个层次（PWA 故事复述、二元）。 AphasiaBank 将创建一个丰富的、共享的在线数据库，用于 研究 PWA 如何成功地在对话中共同构建意义，该项目反映了当前的优先事项。 NIDCD 语音、言语和语言研究战略计划的领域 3 和领域 4。