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.

在大多数气管造口术和阳性支持的患者中