{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T15:54:37Z","timestamp":1783958077376,"version":"3.55.0"},"reference-count":39,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T00:00:00Z","timestamp":1724803200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Nursing in Critical Care"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Patient\u2013ventilator asynchrony (PVA) is a condition that commonly affects patients who are mechanically ventilated. PVA happens when the patient's own breathing effort and the ventilator preset settings are out of sync. Ventilator waveform monitoring is viewed as a difficult undertaking, even for experienced practitioners, despite being a non\u2010invasive and reliable tool for diagnosing PVA.<\/jats:p><\/jats:sec><jats:sec><jats:title>Aim<\/jats:title><jats:p>To assess the knowledge levels and attitudes of critical care nurses (CCNs) regarding the use of ventilator waveform monitoring to detect PVA.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Design<\/jats:title><jats:p>A cross\u2010sectional online survey was conducted in three intensive care units (ICUs) in Alexandria, Egypt. The questionnaire consisted of four parts to evaluate CCNs\u2019 level of knowledge and attitude regarding ventilator waveform monitoring and assess their ability to detect PVA.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Of the 137 CCNs approached, 101 CCNs completed the survey, resulting in a 73.7% response rate. Most nurses (88.1%) demonstrated poor knowledge levels and negative attitudes (93.1%) towards using waveform monitoring to detect PVA. A significant relationship was found between nurses' knowledge of ventilator waveform monitoring and their participation in previous training programmes on mechanical ventilation (MV; <jats:italic>p<\/jats:italic>\u2009=\u2009.031). Additionally, nurses' attitudes towards ventilator waveform monitoring were significantly associated with their level of education (<jats:italic>p<\/jats:italic>\u2009=\u2009.002) and attendance in previous courses on waveform analysis (<jats:italic>p<\/jats:italic>\u2009=\u2009.020).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>A majority of CCNs have poor knowledge and negative attitudes regarding ventilator waveform monitoring. Previous training in MV and attendance courses on ventilator waveform analysis showed a significant correlation between nurses' level of knowledge and attitudes regarding ventilator waveform monitoring.<\/jats:p><\/jats:sec><jats:sec><jats:title>Relevance to Clinical Practice<\/jats:title><jats:p>Assessment of CCNs\u2019 knowledge and attitudes regarding ventilator waveform monitoring for detecting patient\u2013ventilator asynchrony (PVA) informs the development of future educational programmes, ultimately aiding in the delivery of prompt and high\u2010quality care.<\/jats:p><\/jats:sec>","DOI":"10.1111\/nicc.13144","type":"journal-article","created":{"date-parts":[[2024,8,29]],"date-time":"2024-08-29T01:49:30Z","timestamp":1724896170000},"page":"1580-1590","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Critical care nurses' knowledge and attitudes towards using ventilator waveform monitoring to detect patient\u2013ventilator asynchrony: A cross\u2010sectional online survey"],"prefix":"10.1111","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1492-8534","authenticated-orcid":false,"given":"Farida Khalil Ibrahim","family":"Mohamed","sequence":"first","affiliation":[{"name":"Critical Care and Emergency Nursing Department, Faculty of Nursing Alexandria University  Alexandria Egypt"},{"name":"Alriyada College for Health Sciences  Jeddah Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5046-8117","authenticated-orcid":false,"given":"Mohamed Adel","family":"Ghoneam","sequence":"additional","affiliation":[{"name":"Medical\u2010Surgical Nursing Department, Faculty of Nursing Beni Suef University  Beni Suef Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6497-0952","authenticated-orcid":false,"given":"Sally Mohammed 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