ArticleRespiratory care2024
Specific Training Improves the Detection and Management of Patient-Ventilator Asynchrony.
Article in Respiratory care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Challenges and strategies for the identification and correction of patient-ventilator asynchronies in daily practice: a scoping review.Acute and critical care · 2026Article
- When the ventilator and the patient disagree: a Delphi roadmap to clarity.Intensive care medicine · 2026Article
- Artificial Intelligence for the Detection of Patient-Ventilator Asynchrony.Respiratory care · 2025Review
- Ability to identify patient-ventilator asynchronies in intensive care unit professionals: A multicenter cross-sectional analytical study.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025Article
- Bridging the Gap Between Detection, Understanding, and Future Innovation in Patient-Ventilator Asynchronies.Respiratory care · 2024Article
- Closing the Gap in Patient-Ventilator Discordance Recognition.Respiratory care · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatient-ventilator asynchrony is common in patients undergoing mechanical ventilation. The proportion of health-care professionals capable of identifying and effectively managing different types of patient-ventilator asynchronies is limited. A few studies have developed specific training programs, but they mainly focused on improving patient-ventilator asynchrony detection without assessing the ability of health-care professionals to determine the possible causes.
methodsWe conducted a 36-h training program focused on patient-ventilator asynchrony detection and management for health-care professionals from 20 hospitals in Latin America and Spain. The training program included 6 h of a live online lesson during which 120 patient-ventilator asynchrony cases were presented. After the 6-h training lesson, health-care professionals were required to complete a 1-h training session per day for the subsequent 30 d. A 30-question assessment tool was developed and used to assess health-care professionals before training, immediately after the 6-h training lecture, and after the 30 d of training (1-month follow-up).
resultsOne hundred sixteen health-care professionals participated in the study. The median (interquartile range) of the total number of correct answers in the pre-training, post-training, and 1-month follow-up were significantly different (12 [8.75-15], 18 [13.75-22], and 18.5 [14-23], respectively). The percentages of correct answers also differed significantly between the time assessments. Study participants significantly improved their performance between pre-training and post-training (
conclusionsA specific 36-h training program significantly improved the ability of health-care professionals to detect patient-ventilator asynchrony, determine the possible causes of patient-ventilator asynchrony, and properly manage different types of patient-ventilator asynchrony.
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