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How traditional and digital analytics interventions can enhance lung-protective ventilation strategies during general anaesthesia: A two-year quality improvement project analysis
- Source :
- Anaesthesia Critical Care & Pain Medicine, Anaesthesia Critical Care & Pain Medicine, 2022, 41 (6), pp.101143. ⟨10.1016/j.accpm.2022.101143⟩
- Publication Year :
- 2022
- Publisher :
- HAL CCSD, 2022.
-
Abstract
- International audience; Purpose: This quality improvement project evaluated interventions implemented to enhance individual adherence to a lung-protective ventilation strategy and its triad: low tidal volume, PEEP ≥ 5, recruitment manoeuvres.Methods For two years, nine anaesthesia workstations were connected to an automated cloud-based analytics software tool, which automatically recorded ventilation parameters as soon as a new patient case was opened. Four quality improvement periods were determined over the first year: baseline, intervention, no intervention, intervention + digital. In the second year, the digital strategy was continued for nine months, followed by a final “overtime” period. Baseline and no intervention periods included no training. The intervention period included both conventional and educational programs. The digital period included pop-up messages, which automatically appeared on the screen of the anaesthesia data management system when patients were intubated. The primary endpoint was provider adherence to the recommended triad.Results: From October 2018 to December 2020, 12,883 procedures were performed. Data were available for 8968 procedures: baseline (n = 2361), intervention (n = 2423), no intervention (n = 1064), intervention + digital (n = 1862), overtime (n = 1258). Age, Predicted Body Weight, ASA score, type of surgery and airway management were similar between periods. At baseline, 75.2% of procedures reported low tidal volume but only 6.9% involved the complete triad. At over time, Triad was 22% (p
- Subjects :
- [SDV.IB] Life Sciences [q-bio]/Bioengineering
[SDV.MHEP.PHY] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]
General Medicine
Anesthesia, General
Critical Care and Intensive Care Medicine
Quality Improvement
Respiration, Artificial
Anesthesiology and Pain Medicine
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering
Tidal Volume
[SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]
Humans
[SDV.IB]Life Sciences [q-bio]/Bioengineering
Lung
[INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering
Subjects
Details
- Language :
- English
- ISSN :
- 23525568
- Database :
- OpenAIRE
- Journal :
- Anaesthesia Critical Care & Pain Medicine, Anaesthesia Critical Care & Pain Medicine, 2022, 41 (6), pp.101143. ⟨10.1016/j.accpm.2022.101143⟩
- Accession number :
- edsair.doi.dedup.....aff6084e7847808375116ac7a6ea3d56
- Full Text :
- https://doi.org/10.1016/j.accpm.2022.101143⟩