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: 10431702
• 负责人: Jacquie Kurland
• 金额: $ 23.93万
• 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/10431702
• 关键词: Address; Affect; American; Aphasia; Area; 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; Goals; Impairment; Joints; Language; Language Disorders; Left; Life; Manuals; Measurement; Measures; Mediation; Methods; Modeling; Modernization; National Institute on Deafness and Other Communication Disorders; Natural Language Processing; 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; Treatment outcome; Validation; Videoconferencing; Voice; Workload; automated analysis; base; 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; 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 评估和治疗失语症的模型，一种影响至少250万美国人的语言障碍 逐渐从基于减值的框架转移到基于参与的框架。但是，没有有效的 可靠的临床实用工具，用于直接衡量对话中的收益，这是最常传达的 老年人日常生活的活动。拟议的研究的远程目标是提供理论 临床医生和临床研究人员的接地，实用，自动化工具评估交易的变化 对话的成功而无需转录和分析失语论的话语，这是时间和资源密集的 阻碍将对话性话语纳入治疗结果的技能。我们建议填补这个空白 通过最近对交易成功（BAT）的交易成功的简短评估。看完之后 和/或听短的（2.5分钟）蝙蝠视频/音频刺激，失语症的人（PWA）在一个中重述了这个故事 独白的话语任务，然后与一个天真的故事伴侣互动，然后他 重述故事。拟议研究的目标是双重的：AIM 1将证明 蝙蝠及其在评估交易成功方面的有效性。可靠性系数将计算 视频/音频刺激的替代形式，由核心词典，主要概念和 全面评级。测量误差的多个潜在来源的大小将是 估计确定最佳数据收集条件（例如对话伙伴熟悉度）。证据 融合和判别验证将评估蝙蝠测量构建此类的程度 作为联合行动，整体交流和背景，表征位置的三个核心要素 语言使用交流模型，这使PWA能够比他们说话更好。 AIM 2意志 提前自动化研究中的自动化方法。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 在对话伙伴的故事中重述。试验数据表明，使用自动化方法评估微型 话语的宏观语言特征是可行的。 这项研究具有创新性，因为它采用21世纪的视频会议技术来提供小说 在开发自动化软件应用程序的同时，用于评估交易成功的工具 为了使该工具可供服务于PWA的临床医生和临床研究人员，即使在偏远地区也可以使用。这 贡献很重要，因为它将克服衡量现实世界功能的主要障碍 对失语症的治疗反应。结合三个级别的蝙蝠话语（PWA故事重述，二元 对话和对话伙伴回忆）将其引入Aphineabank将创建一个丰富的，共享的在线数据库 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 在NIDCD语音，语音和语言研究的NIDCD战略计划中，第3和4区。