Application of Speaking Valves in Adult Patients with Tracheostomy: a Protocol for a Systematic Review and Meta-analysis

Overview

Journal BMJ Open

Specialty General Medicine

Date 2024 Jul 27

PMID 39067882

Authors

Dan Duan

Wenyao Cui

Wenjie Liu

Jingying Xie

Affiliations

Soon will be listed here.

Abstract

Introduction: Tracheostomy is a common emergency procedure for critically ill patients to secure their airway. The speaking valve is a one-way ventilation valve that is attached to the end of the tracheostomy tube to help the patient remodel subglottic pressure. However, the efficacy and safety of speaking valves in adult patients with tracheostomy remain controversial. The purpose of this protocol is to describe and evaluate the effectiveness, safety and impact on the quality of life of speaking valves in adult patients with tracheostomy.

Methods And Analysis: We will search four English databases (PubMed, Embase, Cochrane Library and Web of Science), grey literature websites and reference lists of original studies to screen for studies that might meet the criteria. The two authors will independently screen the literature, extract data and assess the quality and risk of bias of the included studies. The primary outcomes will focus on the patients' swallowing function, vocalisation and quality of life. We will use a fixed effects model or a random effects model based on heterogeneity testing or a descriptive analysis only. The quality of evidence on the effects of interventions will be assessed using the Grading of Recommendations Assessment, Development, and Evaluation.

Ethics And Dissemination: This study is based on the literature in the database and does not require the approval of the ethics committee. The results will be disseminated through a peer-reviewed journal and conferences.

Prospero Registration Number: CRD42024502906.

Citing Articles

The impact of patient communication software app on facilitating communication with mechanically ventilated patients: A randomized clinical trial.

Poursadeghi Z, Miri K, Hajiabadi F, Mazloum S, Malekzadeh J, Niazi F Digit Health. 2024; 10:20552076241299639.

PMID: 39659401 PMC: 11629424. DOI: 10.1177/20552076241299639.

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