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Nursing Practice of Airway Care Interventions and Prone Positioning in ICU Patients with COVID-19-A Dutch National Survey

Background: Airway care interventions and prone positioning are used in critically ill patients with coronavirus disease 2019 (COVID-19) admitted to the intensive care unit (ICU) to improve oxygenation and facilitate mucus removal. At the onset of the COVID-19 pandemic, the decision-making process regarding the practice of airway care interventions and prone positioning was challenging. Objective: To provide an overview of the practice of airway care interventions and prone positioning during the second wave of the pandemic in the Netherlands. Method: Web-based survey design. Seventy ICU nurses, each representing one intensive care in the Netherlands, were contacted for participation. Potential items were generated based on a literature search and formulated by a multidisciplinary team. Questions were pilot tested for face and construct validity by four intensive care nurses from four different hospitals. Results: The response rate was 53/77 (69%). This survey revealed widespread use of airway care interventions in the Netherlands in COVID-19 patients, despite questionable benefits. Additionally, prone positioning was used in invasively and non-invasively ventilated patients. Conclusions: The use of airway care interventions and prone positioning is time consuming and comes with the production of waste. Further research is needed to assess the effectiveness, workload, and environmental impact of airway care interventions and prone positioning.

Mechanical insufflation-exsufflation for invasively ventilated critically ill patients

INTRODUCTION: Mechanical Insufflation-Exsufflation (MI-E) is used as an airway clearance intervention in primary care (home ventilation), long-term care (prolonged rehabilitation after intensive care, neuromuscular diseases, and spinal cord injury), and increasingly in acute care in intensive care units (ICU).AIM: We sought to develop in-depth understanding of factors influencing decision-making processes of health care professionals regarding initiation, escalation, de-escalation, and discontinuation of MI-E for invasively ventilated patients including perceived barriers and facilitators to use.METHODS: We conducted focus groups (3 in the Netherlands; 1 with participants from four European countries) with clinicians representing the ICU interprofessional team and with variable experience of MI-E. The semi-structured interview guide was informed by the Theoretical Domains Framework (TDF). Two researchers independently coded data for directed content analysis using codes developed from the TDF.RESULTS: A purposive sample of 35 health care professionals participated. Experience varied from infrequent to several years of frequent MI-E use in different patient populations. We identified four main themes: (1) knowledge; (2) beliefs; (3) clinical decision-making; and (4) future adoption.CONCLUSION: Interprofessional knowledge and expertise of MI-E in invasively ventilated patients is limited due to minimal available evidence and adoption. Participants believed MI-E a potentially useful intervention for airway clearance and inclusion in weaning protocols when more evidence is available.RELEVANCE TO CLINICAL PRACTICE: This focus group study provides an overview of current practice, knowledge and expertise, and barriers and facilitators to using MI-E in mechanically ventilated patients. From these data, it is evident there is a need to develop further clinical expertise and evidence of efficacy to further understand the role of MI-E as an airway clearance technique for ventilated patients.

Airway care interventions and prone positioning in critically ill patients

Airway Care Interventions for Invasively Ventilated Critically Ill Adults-A Dutch National Survey

Airway care interventions may prevent accumulation of airway secretions and promote their evacuation, but evidence is scarce. Interventions include heated humidification, nebulization of mucolytics and/or bronchodilators, manual hyperinflation and use of mechanical insufflation-exsufflation (MI-E). Our aim is to identify current airway care practices for invasively ventilated patients in intensive care units (ICU) in the Netherlands. A self-administered web-based survey was sent to a single pre-appointed representative of all ICUs in the Netherlands. Response rate was 85% (72 ICUs). We found substantial heterogeneity in the intensity and combinations of airway care interventions used. Most (81%) ICUs reported using heated humidification as a routine prophylactic intervention. All (100%) responding ICUs used nebulized mucolytics and/or bronchodilators; however, only 43% ICUs reported nebulization as a routine prophylactic intervention. Most (81%) ICUs used manual hyperinflation, although only initiated with a clinical indication like difficult oxygenation. Few (22%) ICUs used MI-E for invasively ventilated patients. Use was always based on the indication of insufficient cough strength or as a continuation of home use. In the Netherlands, use of routine prophylactic airway care interventions is common despite evidence of no benefit. There is an urgent need for evidence of the benefit of these interventions to inform evidence-based guidelines.

A Prospective, Longitudinal Study Evaluating the Efficacy of an Automated Secretion Removal Technology

BACKGROUND:Endotracheal suctioning causes discomfort, is associated with adverse effects, and is resource-demanding. An artificial secretion removal method, known as an automated cough, has been developed, which applies rapid, automated deflation, and inflation of the endotracheal tube cuff during the inspiratory phase of mechanical ventilation. This method has been evaluated in the hands of researchers but not when used by attending nurses. The aim of this study was to explore the efficacy of the method over the course of patient management as part of routine care.METHODS:This prospective, longitudinal, interventional study recruited 28 subjects who were intubated and mechanically ventilated. For a maximum of 7 d and on clinical need for endotracheal suctioning, the automatic cough procedure was applied. The subjects were placed in a pressure-regulated ventilation mode with elevated inspiratory pressure, and automated cuff deflation and inflation were performed 3 times, with this repeated if deemed necessary. Success was determined by resolution of the clinical need for suctioning as determined by the attending nurse. Adverse effects were recorded.RESULTS:A total of 84 procedures were performed. In 54% of the subjects, the artificial cough procedure was successful on > 70% of occasions, with 56% of all procedures considered successful. Ninety percent of all the procedures were performed in subjects who were spontaneously breathing and on pressure-support ventilation with peak inspiratory pressures of 20 cm H2O. Rates of adverse events were similar to those seen in the application of endotracheal suctioning.CONCLUSIONS:This study solely evaluated the efficacy of an automated artificial cough procedure, which illustrated the potential for reducing the need for endotracheal suctioning when applied by attending nurses in routine care.

Using artificial intelligence to create diverse and inclusive medical case vignettes for education

Abstract Aims: Medical case vignettes play a crucial role in medical education, yet they often fail to authentically represent diverse patients. Moreover, these vignettes tend to oversimplify the complex relationship between patient characteristics and medical conditions, leading to biased and potentially harmful perspectives among students. Displaying aspects of patient diversity, such as ethnicity, in written cases proves challenging. Additionally, creating these cases places a significant burden on teachers in terms of labour and time. Our objective is to explore the potential of artificial intelligence (AI)-assisted computer-generated clinical cases to expedite case creation and enhance diversity, along with AI-generated patient photographs for more lifelike portrayal. Methods: In this study, we employed ChatGPT (OpenAI, GPT 3.5) to develop diverse and inclusive medical case vignettes. We evaluated various approaches and identified a set of eight consecutive prompts that can be readily customized to accommodate local contexts and specific assignments. To enhance visual representation, we utilized Adobe Firefly beta for image generation. Results: Using the described prompts, we consistently generated cases for various assignments, producing sets of 30 cases at a time. We ensured the inclusion of mandatory checks and formatting, completing the process within approximately 60 min per set. Conclusions: Our approach significantly accelerated case creation and improved diversity, although prioritizing maximum diversity compromised representativeness to some extent. While the optimized prompts are easily reusable, the process itself demands computer skills not all educators possess. To address this, we aim to share all created patients as open educational resources, empowering educators to create cases independently.