IMPROVING SPEECH IN VENTILATOR-SUPPORTED PATIENTS

改善呼吸机支持患者的言语能力

• 批准号: 6176794
• 负责人: Jeannette D. Hoit
• 金额: $ 14.71万
• 依托单位: UNIVERSITY OF ARIZONA
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-01 至 2002-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6176794
• 关键词: artificial respiration; behavioral /social science research tag; biomedical equipment safety; clinical research; data collection; functional ability; human subject; longitudinal human study; method development; neuromuscular disorder; outcomes research; positive pressure breathing; pulmonary respiration; respirators; respiratory airway pressure; respiratory function; speech; vocalization

In most patients who are tracheostomized and supported with positive- pressure ventilators, speech is characterized by phrases that are too short, silent pauses that are too long, and loudness and voice quality fluctuations that are too large. The research proposed in this application is designed to determine how to improve the speech of such patients, particularly those with neuromuscular disorders. Its focus will be to identify effective interventions that are simple, inexpensive, and safe. This research will be conducted in two phases, one that will evaluate short-term outcomes and another that will evaulate long-term outcomes. The first phase will examine the influence of a variety of different ventilator adjustments on speech. Those adjustments that are found to be most effective for improving speech without compromising cardiopulmonary function on a short-term basis will be examined further in the second phase of the research. The second phase will test the long-term efficacy of selected ventilator adjustments by monitoring cardiopulmonary status and speech behavior over many consecutive days. Functional outcome also will be assessed in appropriate cases. This research will have direct clinical applications. It will offer those professionals involved in the clinical care of ventilator-supported patients (e.g., pulmonologists, respiratory therapists, and speech- language pathologists) a data-based approach for determining ventilator settings for individual patients that will take into account not only cardiopulmonary needs, but speech-related needs as well.

在大多数接受气管造口术并使用阳性- 压力调节器，言语的特点是短语， 短，沉默的停顿太长，和响度和语音质量 波动太大。 这项研究提出， 应用程序的目的是确定如何改善这种语音 患者，尤其是神经肌肉疾病患者。 其重点将 确定简单、廉价且有效的干预措施 安全了 这项研究将分两个阶段进行，其中一个阶段将 评估短期结果，另一个评估长期结果 结果。 第一阶段将审查各种影响， 不同的呼吸机调节 这些调整 被发现是最有效的改善讲话，而不损害 将进一步检查短期心肺功能 在研究的第二阶段。 第二阶段将测试 通过监测选定呼吸机调节的长期疗效 心肺状态和语言行为， 天 还将在适当情况下评估功能结局。 这项研究将有直接的临床应用。 它将提供那些 参与呼吸机支持的临床护理的专业人员 患者（例如，肺科医生，呼吸治疗师，和语言- 语言病理学家）确定呼吸机的基于数据的方法 患者的个体设置不仅要考虑到 心肺功能的需求，但与语言相关的需求也是如此。