Francesco Gravante1, Franco Crisci2, Luigi Palmieri3, Luciano Cecere4, Cristian Fusi5, Enrico Bulleri6, Luigi Pisani7, Stefano Bambi8. 1. Local Health Autority of Caserta. fra.gravante83@gmail.com. 2. Local Health Autority of Caserta. franco.crisci@tin.it. 3. Corporate Research, Robert Bosch GmbH, Stuttgart (Germany). Luigi.Palmieri@de.bosch.com. 4. Antonio Cardarelli Hospital, Naples. luciano1985@hotmail.it. 5. EOC Regional Hospital, Lugano (Switzerland). Incertogasaperto@gmail.com. 6. EOC Regional Hospital, Lugano (Switzerland). ebulleri86@gmail.com. 7. Netherlands & Mahidol Oxford Tropical Medicine Research Unit, Bangkok, (Thailand). luigipisani@gmail.com. 8. University of Florence, Florence (Italy). stefano.bambi@unifi.it.
Abstract
BACKGROUND AND AIM: Patient-ventilator asynchronies (PVA) are associated to negative outcomes for patients: increased respiratory work, mechanical ventilation time and ICU length of stay, and mortality. Some studies described the positive impact of a training intervention on the knowledge and attitudes of nurses in detecting PVA. The aim of this study was to evaluate the efficacy of a training intervention focused on detection of PVA. METHODS: A before-after design on a single group of nursing students was used. The training intervention about detection of the correct respiratory waveform through graphic monitoring was conducted in a single edition course of 2 hours, for 25 participants. Measurements of correct detection of PVA through specific competency assessment tool were performed before (T0), immediately after (T1) and at 1 month (T2) from the training intervention between January and February 2020. RESULTS: 19 Nurse students completed the training. A total of 50 questionnaires were distributed (T0; n=19; T1; n=19; T2; n=12). PVA were correctly detected in 67.5% (77) of cases. Statistically significant difference There were differences in trainees performance between T0 and T1 [77,2% (CI95%: 68,7% - 85,8%; p=0.001)] and between T0 and T2 [75% (CI95%: 65,3% - 84,7%; p=0.001]. No significant difference was recorded between T1 and T2 (p=0.83) Conclusions: Nursing students increased their performance on analysis of the graphic monitoring of the respiratory waveforms and detection of asynchronies after a basic training intervention. These skills were retained after 1 month. Nurse student trained about PVA increased their competence potentially employed in critical care settings.
BACKGROUND AND AIM: Patient-ventilator asynchronies (PVA) are associated to negative outcomes for patients: increased respiratory work, mechanical ventilation time and ICU length of stay, and mortality. Some studies described the positive impact of a training intervention on the knowledge and attitudes of nurses in detecting PVA. The aim of this study was to evaluate the efficacy of a training intervention focused on detection of PVA. METHODS: A before-after design on a single group of nursing students was used. The training intervention about detection of the correct respiratory waveform through graphic monitoring was conducted in a single edition course of 2 hours, for 25 participants. Measurements of correct detection of PVA through specific competency assessment tool were performed before (T0), immediately after (T1) and at 1 month (T2) from the training intervention between January and February 2020. RESULTS: 19 Nurse students completed the training. A total of 50 questionnaires were distributed (T0; n=19; T1; n=19; T2; n=12). PVA were correctly detected in 67.5% (77) of cases. Statistically significant difference There were differences in trainees performance between T0 and T1 [77,2% (CI95%: 68,7% - 85,8%; p=0.001)] and between T0 and T2 [75% (CI95%: 65,3% - 84,7%; p=0.001]. No significant difference was recorded between T1 and T2 (p=0.83) Conclusions: Nursing students increased their performance on analysis of the graphic monitoring of the respiratory waveforms and detection of asynchronies after a basic training intervention. These skills were retained after 1 month. Nurse student trained about PVA increased their competence potentially employed in critical care settings.
Authors: Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke Journal: Lancet Date: 2007-10-20 Impact factor: 79.321
Authors: Regula S von Allmen; Salome Weiss; Hendrik T Tevaearai; Christoph Kuemmerli; Christian Tinner; Thierry P Carrel; Juerg Schmidli; Florian Dick Journal: PLoS One Date: 2015-10-15 Impact factor: 3.240