How traditional and digital analytics interventions can enhance lung-protective ventilation strategies during general anaesthesia: A two-year quality improvement project analysis.
Anaesth Crit Care Pain Med 2022;
41:101143. [PMID:
35988703 DOI:
10.1016/j.accpm.2022.101143]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 04/20/2022] [Accepted: 07/03/2022] [Indexed: 11/27/2022]
Abstract
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 8,968 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 < 0.001). Over study period, each parameter of the Triad (RM, Vt and Peep) increased (p < 0.001 vs. baseline), driving pressure decreased although EtCO2 and plateau pressure had not changed.
CONCLUSION
Training with the help of digital apps improved LPV adherence over time.
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