Applying Best Clinical Practices to Patients at High Risk of Respiratory Complications
brief summary
The purpose of this study is to: 1. Perform a retrospective analysis on data contained in the UCLA Perioperative Data Warehouse on the incidence of respiratory dysfunction in the post-operative care unit (PACU) before and after the introduction of sugammadex into clinical practice. 2. Develop and implement a clinical best practice pathway designed to prevent postoperative respiratory complications in higher risk patients (such as those with OSA or preexisting respiratory disease) using education and clinical decision support in patients.
detailed description
This will be a historical prospective comparative effectiveness clinical trial where the investigators plan to leverage their experience in extracting data from the EMR as well as creating robust CDS pathways in order to create and implement a pathway to promote use of best respiratory care in patients receiving general anesthesia who are at increased risk for postoperative respiratory dysfunction. The overall study will consist of two parts:
1. Retrospective data analysis: The investigators will utilize the Perioperative Data Warehouse, a custom-built data warehouse, to study the effect of the introduction of sugammadex, a direct reversal agent for rocuronium, into clinical practice on time to "fitness for discharge" from the recovery room, as noted by the time the anesthesiologist places the discharge order, before and after intervention and postoperative respiratory dysfunction (as defined as duration of oxygen saturation below 90% in the PACU). 2. Creation and implementation of a pathway to prevent postoperative respiratory dysfunction: The investigators will design and implement a perioperative decision support system which will identify high-risk patients and provide best practice recommendations via electronic clinical decision support reminders.
Creation and implementation of a pathway to prevent postoperative respiratory dysfunction:
In order to improve outcomes for high-risk patients who receive general anesthesia and paralysis the investigators will design and implement a perioperative decision support system which will identify high-risk patients and provide best practice recommendations via electronic clinical decision support reminders. While the exact parameters of the pathway will be designed based upon feedback from a group of quality leaders in the department, in general the pathway will function as follows:
When the anesthesiologist completes the preoperative evaluation for a patient who is flagged as having either respiratory disease or OSA and will receive general anesthesia, the anesthesiologist will receive an alert reminding them of the best practice guidelines for pulmonary management in high-risk patients. As part of the study roll-out the investigators will present these guidelines with their quality committee, but anticipate that they will suggest 1) use of sugammadex to reverse neuromuscular blockade if rocuronium was used 2) use of objective train of four monitoring throughout the case and to confirm reversal 3) use of a tidal volume of 6-8 cc/kg 4) use of at least 5 cmH2O of PEEP.
The investigators anticipate running the prospective portion of the study for a one year data collection period. Specifically, they will allow a one month "wash out" period for pathway go live, followed by one year of data collection during which the pathway is live.
official title
A Prospective Digital Quality Improvement Project to Apply Best Clinical Practices to Patients at High Risk of Respiratory Complications