Prioritizing evidence-based practices for acute respiratory distress syndrome using digital data: an iterative multi-stakeholder process.
Jennifer N ErvinMillie R DibbleVictor C RentesMichael W SjodingMichelle N GongCatherine L HoughTheodore J IwashynaAnne E SalesPublished in: Implementation science : IS (2022)
Our prioritization process allowed us to identify 11 EBPs out of a larger group that clinicians perceive is most likely to help optimize invasive mechanical ventilation and improve the outcomes of this vulnerable patient population. While this method was developed in critical care related to adults receiving invasive mechanical ventilation, it is adaptable to other health contexts.
Keyphrases
- mechanical ventilation
- acute respiratory distress syndrome
- extracorporeal membrane oxygenation
- healthcare
- respiratory failure
- intensive care unit
- public health
- primary care
- electronic health record
- palliative care
- case report
- mental health
- health information
- image quality
- magnetic resonance imaging
- magnetic resonance
- climate change
- health promotion
- adipose tissue
- machine learning
- data analysis
- dual energy
- drug induced
- deep learning
- insulin resistance