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1.
Korean Journal of Anesthesiology ; : 374-385, 2018.
Article in English | WPRIM | ID: wpr-717581

ABSTRACT

BACKGROUND: Sugammadex rapidly reverses deep neuromuscular blockade, but owing to cost, questions remain about its optimal utilization. After the unrestricted introduction of sugammadex at Emory University Hospital, we hypothesized that reductions would be demonstrated in the primary outcome of post-anesthesia care unit (PACU) mechanical ventilation (MV) and secondary outcomes of PACU length of stay (LOS) and emergence time (surgery end to anesthesia end time in the PACU). METHODS: This retrospective observational study included patients undergoing general anesthesia over a 12-month period. Using multiple variable penalized logistic regression in a one-group before-and-after design, we compared the categorized rates of PACU MV to examine the effect of sugammadex introduction following a post-hoc chart review to ascertain the reason for postoperative MV. Additionally, multiple variable linear regression was used to assess for differences in PACU LOS and emergence time within a propensity-matched set of patients receiving neostigmine or sugammadex. RESULTS: In total, 7,217 surgical cases met the inclusion criteria: 3,798 before and 3,419 after sugammadex introduction. The incidence of PACU MV was 2.3% before and 1.8% after (P = 0.118) sugammadex introduction. PACU MV due to residual neuromuscular blockade (rNMB) decreased from 0.63% to 0.20% (P = 0.005). Ventilation because of other causes was unchanged. PACU LOS and emergence time were unchanged in the propensity-matched set of 1,444 patients. CONCLUSIONS: rNMB was an important contributor to PACU MV utilization and its incidence significantly decreased after sugammadex introduction. The selected efficiency measures may not have been sufficiently granular to identify improvements following introduction.


Subject(s)
Humans , Academic Medical Centers , Anesthesia , Anesthesia, General , Delayed Emergence from Anesthesia , Incidence , Length of Stay , Linear Models , Logistic Models , Neostigmine , Neuromuscular Blockade , Observational Study , Respiration, Artificial , Retrospective Studies , Ventilation
2.
Korean Journal of Anesthesiology ; : 192-200, 2018.
Article in English | WPRIM | ID: wpr-715217

ABSTRACT

BACKGROUND: Educators in all disciplines recognize the need to update tools for the modern learner. Mobile applications (apps) may be useful, but real-time data is needed to demonstrate the patterns of utilization and engagement amongst learners. METHODS: We examined the use of an anesthesia app by two groups of learners (residents and anesthesiologist assistant students [AAs]) during a pediatric anesthesiology rotation. The app calculates age and weight-based information for clinical decision support and contains didactic materials for self-directed learning. The app transmitted detailed usage information to our research team. RESULTS: Over a 12-month period, 39 participants consented; 30 completed primary study procedures (18 residents, 12 AAs). AAs used the app more frequently than residents (P = 0.025) but spent less time in the app (P < 0.001). The median duration of app usage was 2.3 minutes. During the course of the rotation, usage of the app decreased over time. ‘Succinylcholine' was the most accessed drug, while ‘orientation' was the most accessed teaching module. Ten (33%) believed that the use of apps was perceived to be distracting by operating room staff and surgeons. CONCLUSIONS: Real-time in-app analytics helped elucidate the actual usage of this educational resource and will guide future decisions regarding development and educational content. Further research is required to determine learners' preferred choice of device, user experience, and content in the full range of clinical and nonclinical purposes.


Subject(s)
Humans , Anesthesia , Anesthesiology , Computers, Handheld , Decision Support Systems, Clinical , Learning , Mobile Applications , Operating Rooms , Point-of-Care Systems , Surgeons , Telemedicine
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