制定以证据为基础的跨专业算法,在慢性阻塞性肺疾病急性加重期应用无创通气技术

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引用次数: 0

摘要

背景无创通气(NIV)作为一线干预措施,与指南推荐的疗法一起用于慢性阻塞性肺疾病(COPD)加重引起的急性高碳酸血症呼吸衰竭患者,已被证明可以降低死亡率和气管插管率。尽管无创通气已被纳入临床指南,但仍有机会提高无创通气的使用率。先前的研究表明,在慢性阻塞性肺病急性加重期(AECOPD)中增加 NIV 使用量的工作需要考虑到 NIV 施用的复杂性和跨专业性,以及跨专业团队协调的必要性。研究问题我们试图开发一种基于证据的跨专业算法,用于在慢性阻塞性肺病急性加重期应用 NIV,以提高 NIV 在慢性阻塞性肺病急性加重期的适当使用率。研究设计与方法在这项前瞻性定性描述研究中,我们招募了在各种临床环境中护理 AECOPD 患者的主题专家医生、护士和呼吸治疗师,对他们进行了半结构化访谈。在制定访谈内容时,遵循了定性研究报告综合标准核对表。采用演绎主题分析法确定了适用于跨专业合作实践的访谈主题。根据最新的社会指南构建了 NIV 算法。结果我们提出了一种基于跨专业团队的算法,用于在 AECOPD 患者中提供 NIV,包括患者选择和 NIV 的启动、滴定、监测和断奶。解释已确定的跨专业团队的角色和职责可纳入跨专业教育计划中,该计划涉及 AECOPD 患者 NIV 的使用和管理,强调最佳合作实践、跨专业团队沟通以及在适当的时候支持专业自主权。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing an Evidence-Based Interprofessional Algorithm to Apply Noninvasive Ventilation in Acute Exacerbation of COPD

Background

When administered as first-line intervention to patients admitted with acute hypercapnic respiratory failure secondary to COPD exacerbation in conjunction with guideline-recommended therapies, noninvasive ventilation (NIV) has been shown to reduce mortality and endotracheal intubation. Opportunities to increase uptake of NIV continue to exist despite inclusion of this therapy in clinical guidelines. Prior studies suggest that efforts to increase NIV use in acute exacerbation of COPD (AECOPD) need to account for the complex and interprofessional nature of NIV delivery and the need for interprofessional team coordination.

Research Question

We sought to develop an evidence-based interprofessional algorithm to apply NIV in AECOPD to improve the appropriate utilization of NIV in AECOPD.

Study Design and Methods

In this prospective qualitative descriptive study, subject matter expert physicians, nurses, and respiratory therapists practicing in a variety of clinical settings caring for patients with AECOPD were recruited for semistructured interviews. The Consolidated Criteria for Reporting Qualitative Research checklist was followed for interview development. Interview themes applicable to interprofessional collaborative practice were identified using deductive thematic analysis. An NIV algorithm based on recent society guidelines was constructed. Interprofessional team tasks appropriate for each phase of the NIV process were integrated into the algorithm.

Results

We present an interprofessional team-based algorithm for delivery of NIV in AECOPD inclusive of patient selection and initiation, titration, monitoring, and weaning of NIV. The goal is to increase appropriate uptake of NIV in the AECOPD population.

Interpretation

The identified roles and responsibilities of an interprofessional team could be integrated into an interprofessional education program pertaining to use and management of NIV for patients with AECOPD emphasizing collaborative best practice, interprofessional team communication, and support of professional autonomy when appropriate.

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