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http://dx.doi.org/10.29390/cjrt-2018-023 | DOI Listing |
SAGE Open Med
January 2025
Respiratory Therapy Department, Batterjee Medical College, Khamis Mushait, Saudi Arabia.
Background: There is a limited data examining the practice of using the airway pressure release ventilation mode for patients with acute respiratory distress syndrome among respiratory therapists.
Objectives: To evaluate the current practice and barriers when using airway pressure release ventilation mode in the management of patients with acute respiratory distress syndrome.
Methods: A cross-sectional online survey was disseminated between November 2022 and April 2023 to respiratory therapists in Saudi Arabia.
Hosp Pediatr
January 2025
Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Objective: Children with chronic ventilator dependence are a complex and heterogeneous population with unique needs. We sought input from parents, clinicians, and hospital staff to identify opportunities for process improvement during hospitalization and discharge preparation.
Methods: We conducted a qualitative study at a large referral center for children with chronic ventilator dependence.
Ultrasound J
January 2025
Physiotherapy Department, Blackpool Teaching Hospitals NHS Foundation Trust, Whinney Heys Road, Blackpool, FY3 8PY, UK.
Background: The adoption of diaphragm and lung ultrasound (DLUS) by physiotherapists, physical therapists, and respiratory therapists ("therapists") to examine and assess the diaphragm and lungs continues to grow. The aim of this updated scoping review is to re-explore and re-collate the evidence around the adoption of DLUS by therapists.
Methods: This scoping review followed the PRISMA-ScR guidelines.
JAMA Cardiol
January 2025
Department of Emergency Medicine, Rush University Medical Center, Chicago, Illinois.
Importance: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those with cardiogenic pulmonary edema, but requires technical proficiency for image acquisition. Previous research has demonstrated the effectiveness of artificial intelligence (AI) in guiding novice users to acquire high-quality cardiac ultrasound images, suggesting its potential for broader use in LUS.
Objective: To evaluate the ability of AI to guide acquisition of diagnostic-quality LUS images by trained health care professionals (THCPs).
Chron Respir Dis
January 2025
Department of Respiratory Sciences, University of Leicester, Leicester, UK.
Background: Health inequalities can affect access and uptake to pulmonary rehabilitation (PR). An individual's protected characteristics (age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex and sexual orientation) may contribute to health inequalities. Healthcare professionals (HCPs) experiences of the inclusivity and representativeness of PR services and knowledge of protected characteristics are unknown, however are vital for the identification and resolution of health inequalities.
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